From 10a7b8e6e99f41fe7b4b78dfdc0dd544174916e6 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 3 Feb 2020 08:44:34 -0500 Subject: [PATCH 01/79] xarray and imshow --- .../python/plotly/plotly/express/_imshow.py | 25 ++++++++++++++++--- 1 file changed, 21 insertions(+), 4 deletions(-) diff --git a/packages/python/plotly/plotly/express/_imshow.py b/packages/python/plotly/plotly/express/_imshow.py index 6f1bf77e877..a24f87bfcdb 100644 --- a/packages/python/plotly/plotly/express/_imshow.py +++ b/packages/python/plotly/plotly/express/_imshow.py @@ -2,6 +2,11 @@ from _plotly_utils.basevalidators import ColorscaleValidator from ._core import apply_default_cascade import numpy as np +try: + import xarray + xarray_imported = True +except ImportError: + xarray_imported = False _float_types = [] @@ -140,7 +145,15 @@ def imshow( """ args = locals() apply_default_cascade(args) - + img_is_xarray = False + if xarray_imported: + if isinstance(img, xarray.DataArray): + y_label, x_label = img.dims + x = img.coords[x_label] + y = img.coords[y_label] + x_range = (img.coords[x_label][0], img.coords[x_label][-1]) + y_range = (img.coords[y_label][0], img.coords[y_label][-1]) + img_is_xarray = True img = np.asanyarray(img) # Cast bools to uint8 (also one byte) if img.dtype == np.bool: @@ -185,12 +198,16 @@ def imshow( ) layout_patch = dict() - for v in ["title", "height", "width"]: - if args[v]: - layout_patch[v] = args[v] + for attr_name in ["title", "height", "width"]: + if args[attr_name]: + layout_patch[attr_name] = args[attr_name] if "title" not in layout_patch and args["template"].layout.margin.t is None: layout_patch["margin"] = {"t": 60} fig = go.Figure(data=trace, layout=layout) fig.update_layout(layout_patch) + if img_is_xarray: + fig.update_traces(x=x, y=y) + fig.update_xaxes(title_text=x_label) + fig.update_yaxes(title_text=y_label) fig.update_layout(template=args["template"], overwrite=True) return fig From 42abe3c5d6a1b99b4460998249d7b12cd5b4f0e5 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Tue, 4 Feb 2020 22:19:05 -0500 Subject: [PATCH 02/79] fixed pandas 1.0 pb in sunburst/treemap example --- doc/python/sunburst-charts.md | 4 ++-- doc/python/treemaps.md | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/python/sunburst-charts.md b/doc/python/sunburst-charts.md index 69f89133c35..26ad08fbf1a 100644 --- a/doc/python/sunburst-charts.md +++ b/doc/python/sunburst-charts.md @@ -5,7 +5,7 @@ jupyter: text_representation: extension: .md format_name: markdown - format_version: "1.2" + format_version: '1.2' jupytext_version: 1.3.0 kernelspec: display_name: Python 3 @@ -314,7 +314,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None): df_all_trees = pd.DataFrame(columns=['id', 'parent', 'value', 'color']) for i, level in enumerate(levels): df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color']) - dfg = df.groupby(levels[i:]).sum(numerical_only=True) + dfg = df.groupby(levels[i:]).sum() dfg = dfg.reset_index() df_tree['id'] = dfg[level].copy() if i < len(levels) - 1: diff --git a/doc/python/treemaps.md b/doc/python/treemaps.md index 36dd866e008..e399ce07163 100644 --- a/doc/python/treemaps.md +++ b/doc/python/treemaps.md @@ -5,8 +5,8 @@ jupyter: text_representation: extension: .md format_name: markdown - format_version: "1.2" - jupytext_version: 1.3.1 + format_version: '1.2' + jupytext_version: 1.3.0 kernelspec: display_name: Python 3 language: python @@ -20,7 +20,7 @@ jupyter: name: python nbconvert_exporter: python pygments_lexer: ipython3 - version: 3.6.8 + version: 3.7.3 plotly: description: How to make Treemap Charts with Plotly display_as: basic @@ -266,7 +266,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None): df_all_trees = pd.DataFrame(columns=['id', 'parent', 'value', 'color']) for i, level in enumerate(levels): df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color']) - dfg = df.groupby(levels[i:]).sum(numerical_only=True) + dfg = df.groupby(levels[i:]).sum() dfg = dfg.reset_index() df_tree['id'] = dfg[level].copy() if i < len(levels) - 1: From f449c0430acc2f09e8237c5f47e4f92326731d6c Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Wed, 5 Feb 2020 20:49:52 -0500 Subject: [PATCH 03/79] add xarray support in imshow --- packages/python/plotly/plotly/express/_imshow.py | 11 ++++++++--- .../plotly/tests/test_core/test_px/test_imshow.py | 13 ++++++++++++- 2 files changed, 20 insertions(+), 4 deletions(-) diff --git a/packages/python/plotly/plotly/express/_imshow.py b/packages/python/plotly/plotly/express/_imshow.py index a24f87bfcdb..121c7a18280 100644 --- a/packages/python/plotly/plotly/express/_imshow.py +++ b/packages/python/plotly/plotly/express/_imshow.py @@ -2,8 +2,10 @@ from _plotly_utils.basevalidators import ColorscaleValidator from ._core import apply_default_cascade import numpy as np + try: import xarray + xarray_imported = True except ImportError: xarray_imported = False @@ -148,13 +150,15 @@ def imshow( img_is_xarray = False if xarray_imported: if isinstance(img, xarray.DataArray): - y_label, x_label = img.dims + y_label, x_label = img.dims[0], img.dims[1] x = img.coords[x_label] y = img.coords[y_label] - x_range = (img.coords[x_label][0], img.coords[x_label][-1]) + x_range = (img.coords[x_label][0], img.coords[x_label][-1]) y_range = (img.coords[y_label][0], img.coords[y_label][-1]) img_is_xarray = True + img = np.asanyarray(img) + # Cast bools to uint8 (also one byte) if img.dtype == np.bool: img = 255 * img.astype(np.uint8) @@ -206,7 +210,8 @@ def imshow( fig = go.Figure(data=trace, layout=layout) fig.update_layout(layout_patch) if img_is_xarray: - fig.update_traces(x=x, y=y) + if img.ndim <= 2: + fig.update_traces(x=x, y=y) fig.update_xaxes(title_text=x_label) fig.update_yaxes(title_text=y_label) fig.update_layout(template=args["template"], overwrite=True) diff --git a/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py b/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py index e296a958f3a..43e4748f486 100644 --- a/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py +++ b/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py @@ -1,6 +1,7 @@ import plotly.express as px import numpy as np import pytest +import xarray as xr img_rgb = np.array([[[255, 0, 0], [0, 255, 0], [0, 0, 255]]], dtype=np.uint8) img_gray = np.arange(100).reshape((10, 10)) @@ -58,8 +59,9 @@ def test_colorscale(): def test_wrong_dimensions(): imgs = [1, np.ones((5,) * 3), np.ones((5,) * 4)] + msg = "px.imshow only accepts 2D single-channel, RGB or RGBA images." for img in imgs: - with pytest.raises(ValueError) as err_msg: + with pytest.raises(ValueError, match=msg): fig = px.imshow(img) @@ -114,3 +116,12 @@ def test_zmin_zmax_range_color(): fig = px.imshow(img, zmax=0.8) assert fig.layout.coloraxis.cmin == 0.0 assert fig.layout.coloraxis.cmax == 0.8 + + +def test_imshow_xarray(): + img = np.random.random((20, 30)) + da = xr.DataArray(img, dims=["dim_rows", "dim_cols"]) + fig = px.imshow(da) + assert fig.layout.xaxis.title.text == "dim_cols" + assert fig.layout.yaxis.title.text == "dim_rows" + assert np.all(np.array(fig.data[0].x) == np.array(da.coords["dim_cols"])) From 495466373d2eea55045f619276e578fea9027457 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 10 Feb 2020 09:54:59 -0500 Subject: [PATCH 04/79] aspect ratio: pixels are not square by default for xarrays, plus timedate handling --- .../python/plotly/plotly/express/_imshow.py | 29 +++++++++++++++---- 1 file changed, 23 insertions(+), 6 deletions(-) diff --git a/packages/python/plotly/plotly/express/_imshow.py b/packages/python/plotly/plotly/express/_imshow.py index 121c7a18280..264fe61dcaf 100644 --- a/packages/python/plotly/plotly/express/_imshow.py +++ b/packages/python/plotly/plotly/express/_imshow.py @@ -75,6 +75,7 @@ def imshow( template=None, width=None, height=None, + aspect=None ): """ Display an image, i.e. data on a 2D regular raster. @@ -129,6 +130,14 @@ def imshow( height: number The figure height in pixels, defaults to 600. + aspect: 'equal', 'auto', or None + - 'equal': Ensures an aspect ratio of 1 or pixels (square pixels) + - 'auto': The axes is kept fixed and the aspect ratio of pixels is + adjusted so that the data fit in the axes. In general, this will + result in non-square pixels. + - if None, 'equal' is used for numpy arrays and 'auto' for xarrays + (which have typically heterogeneous coordinates) + Returns ------- fig : graph_objects.Figure containing the displayed image @@ -151,11 +160,19 @@ def imshow( if xarray_imported: if isinstance(img, xarray.DataArray): y_label, x_label = img.dims[0], img.dims[1] + # np.datetime64 is not handled correctly by go.Heatmap + for ax in [x_label, y_label]: + if np.issubdtype(img.coords[ax].dtype, np.datetime64): + img.coords[ax] = img.coords[ax].astype(str) x = img.coords[x_label] y = img.coords[y_label] - x_range = (img.coords[x_label][0], img.coords[x_label][-1]) - y_range = (img.coords[y_label][0], img.coords[y_label][-1]) img_is_xarray = True + if aspect is None: + aspect = 'auto' + + if not img_is_xarray: + if aspect is None: + aspect = 'equal' img = np.asanyarray(img) @@ -167,10 +184,10 @@ def imshow( if img.ndim == 2: trace = go.Heatmap(z=img, coloraxis="coloraxis1") autorange = True if origin == "lower" else "reversed" - layout = dict( - xaxis=dict(scaleanchor="y", constrain="domain"), - yaxis=dict(autorange=autorange, constrain="domain"), - ) + layout = dict(yaxis=dict(autorange=autorange)) + if aspect == 'equal': + layout["xaxis"] = dict(scaleanchor="y", constrain="domain") + layout["yaxis"]["constrain"] = "domain" colorscale_validator = ColorscaleValidator("colorscale", "imshow") if zmin is not None and zmax is None: zmax = img.max() From b2ee80999bcd3a7d8caa5d6f5804c2651a687c96 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 10 Feb 2020 09:59:09 -0500 Subject: [PATCH 05/79] imshow tutorial: add xarray example --- doc/python/imshow.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/doc/python/imshow.md b/doc/python/imshow.md index 349732e82a7..93864b87a98 100644 --- a/doc/python/imshow.md +++ b/doc/python/imshow.md @@ -110,6 +110,32 @@ fig.update_layout(coloraxis_showscale=False) fig.show() ``` +### Display an xarray image with px.imshow + +[xarrays](http://xarray.pydata.org/en/stable/) are labeled arrays (with labeled axes and coordinates). If you pass an xarray image to `px.imshow`, its axes labels and coordinates will be used for ticks. (If you don't want this behavior, just pass `img.values` which is a NumPy array if `img` is an xarray). + +```python +import plotly.express as px +import xarray as xr +# Load xarray from dataset included in the xarray tutorial +# We remove 273.5 to display Celsius degrees instead of Kelvin degrees +airtemps = xr.tutorial.open_dataset('air_temperature').air.isel(lon=20) - 273.5 +fig = px.imshow(airtemps.T, color_continuous_scale='RdBu_r', origin='lower') +fig.show() +``` + +### Display an xarray image with square pixels + +For xarrays, by default `px.imshow` does not constrain pixels to be square, since axes often correspond to different physical quantities (e.g. time and space), contrary to a plain camera image where pixels are square (most of the time). If you want to impose square pixels, set the parameter `aspect` to "equal" as below. + +```python +import plotly.express as px +import xarray as xr +airtemps = xr.tutorial.open_dataset('air_temperature').air.isel(time=500) - 273.5 +fig = px.imshow(airtemps, color_continuous_scale='RdBu_r', aspect='equal') +fig.show() +``` + ### Display multichannel image data with go.Image It is also possible to use the `go.Image` trace from the low-level `graph_objects` API in order to display image data. Note that `go.Image` only accepts multichannel images. For single images, use [`go.Heatmap`](/python/heatmaps). From 8282e0ab2eb22dec9c3d20ee24ca2ac235ff4919 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 10 Feb 2020 13:36:30 -0500 Subject: [PATCH 06/79] update tutorials + use long_name --- doc/python/datashader.md | 35 ++++++------------- doc/python/imshow.md | 2 ++ .../python/plotly/plotly/express/_imshow.py | 24 +++++++++---- 3 files changed, 30 insertions(+), 31 deletions(-) diff --git a/doc/python/datashader.md b/doc/python/datashader.md index 9a9a3ba9f52..32f11c57fe6 100644 --- a/doc/python/datashader.md +++ b/doc/python/datashader.md @@ -5,8 +5,8 @@ jupyter: text_representation: extension: .md format_name: markdown - format_version: "1.2" - jupytext_version: 1.3.1 + format_version: '1.2' + jupytext_version: 1.3.0 kernelspec: display_name: Python 3 language: python @@ -20,10 +20,9 @@ jupyter: name: python nbconvert_exporter: python pygments_lexer: ipython3 - version: 3.6.8 + version: 3.7.3 plotly: - description: - How to use datashader to rasterize large datasets, and visualize + description: How to use datashader to rasterize large datasets, and visualize the generated raster data with plotly. display_as: scientific language: python @@ -98,7 +97,7 @@ fig.show() ``` ```python -import plotly.graph_objects as go +import plotly.express as px import pandas as pd import numpy as np import datashader as ds @@ -106,24 +105,10 @@ df = pd.read_parquet('https://raw.githubusercontent.com/plotly/datasets/master/2 cvs = ds.Canvas(plot_width=100, plot_height=100) agg = cvs.points(df, 'SCHEDULED_DEPARTURE', 'DEPARTURE_DELAY') -x = np.array(agg.coords['SCHEDULED_DEPARTURE']) -y = np.array(agg.coords['DEPARTURE_DELAY']) - -# Assign nan to zero values so that the corresponding pixels are transparent -agg = np.array(agg.values, dtype=np.float) -agg[agg<1] = np.nan - -fig = go.Figure(go.Heatmap( - z=np.log10(agg), x=x, y=y, - hoverongaps=False, - hovertemplate='Scheduled departure: %{x:.1f}h
Depature delay: %{y}
Log10(Count): %{z}', - colorbar=dict(title='Count (Log)', tickprefix='1.e'))) -fig.update_xaxes(title_text='Scheduled departure') -fig.update_yaxes(title_text='Departure delay') +agg.values = np.log10(agg.values) +agg.attrs['long_name'] = 'Log10(count)' +fig = px.imshow(agg, origin='lower') +fig.update_traces(hoverongaps=False) +fig.update_layout(coloraxis_colorbar=dict(title='Count (Log)', tickprefix='1.e')) fig.show() - -``` - -```python - ``` diff --git a/doc/python/imshow.md b/doc/python/imshow.md index d887765f4c1..17d38d5ea33 100644 --- a/doc/python/imshow.md +++ b/doc/python/imshow.md @@ -120,6 +120,7 @@ import xarray as xr # Load xarray from dataset included in the xarray tutorial # We remove 273.5 to display Celsius degrees instead of Kelvin degrees airtemps = xr.tutorial.open_dataset('air_temperature').air.isel(lon=20) - 273.5 +airtemps.attrs['long_name'] = 'Temperature' # used for hover fig = px.imshow(airtemps.T, color_continuous_scale='RdBu_r', origin='lower') fig.show() ``` @@ -132,6 +133,7 @@ For xarrays, by default `px.imshow` does not constrain pixels to be square, sinc import plotly.express as px import xarray as xr airtemps = xr.tutorial.open_dataset('air_temperature').air.isel(time=500) - 273.5 +airtemps.attrs['long_name'] = 'Temperature' # used for hover fig = px.imshow(airtemps, color_continuous_scale='RdBu_r', aspect='equal') fig.show() ``` diff --git a/packages/python/plotly/plotly/express/_imshow.py b/packages/python/plotly/plotly/express/_imshow.py index 264fe61dcaf..5e497f1af55 100644 --- a/packages/python/plotly/plotly/express/_imshow.py +++ b/packages/python/plotly/plotly/express/_imshow.py @@ -75,7 +75,7 @@ def imshow( template=None, width=None, height=None, - aspect=None + aspect=None, ): """ Display an image, i.e. data on a 2D regular raster. @@ -83,7 +83,7 @@ def imshow( Parameters ---------- - img: array-like image + img: array-like image, or xarray The image data. Supported array shapes are - (M, N): an image with scalar data. The data is visualized @@ -153,6 +153,9 @@ def imshow( In order to update and customize the returned figure, use `go.Figure.update_traces` or `go.Figure.update_layout`. + + If an xarray is passed, dimensions names and coordinates are used for + axes labels and ticks. """ args = locals() apply_default_cascade(args) @@ -168,11 +171,12 @@ def imshow( y = img.coords[y_label] img_is_xarray = True if aspect is None: - aspect = 'auto' + aspect = "auto" + z_name = img.attrs["long_name"] if "long_name" in img.attrs else "z" if not img_is_xarray: if aspect is None: - aspect = 'equal' + aspect = "equal" img = np.asanyarray(img) @@ -185,7 +189,7 @@ def imshow( trace = go.Heatmap(z=img, coloraxis="coloraxis1") autorange = True if origin == "lower" else "reversed" layout = dict(yaxis=dict(autorange=autorange)) - if aspect == 'equal': + if aspect == "equal": layout["xaxis"] = dict(scaleanchor="y", constrain="domain") layout["yaxis"]["constrain"] = "domain" colorscale_validator = ColorscaleValidator("colorscale", "imshow") @@ -228,7 +232,15 @@ def imshow( fig.update_layout(layout_patch) if img_is_xarray: if img.ndim <= 2: - fig.update_traces(x=x, y=y) + hovertemplate = ( + x_label + + ": %{x}
" + + y_label + + ": %{y}
" + + z_name + + " : %{z}" + ) + fig.update_traces(x=x, y=y, hovertemplate=hovertemplate) fig.update_xaxes(title_text=x_label) fig.update_yaxes(title_text=y_label) fig.update_layout(template=args["template"], overwrite=True) From 568d1c167877b3bfe78fd1a738a607fcf2702aab Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 10 Feb 2020 13:44:46 -0500 Subject: [PATCH 07/79] change for CI --- packages/python/plotly/tox.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/python/plotly/tox.ini b/packages/python/plotly/tox.ini index df41b7e1df1..23fd1e30a99 100644 --- a/packages/python/plotly/tox.ini +++ b/packages/python/plotly/tox.ini @@ -60,6 +60,7 @@ deps= retrying==1.3.3 pytest==3.5.1 pandas==0.24.2 + xarray==0.10.9 backports.tempfile==1.0 optional: --editable=file:///{toxinidir}/../plotly-geo optional: numpy==1.16.5 @@ -73,7 +74,6 @@ deps= optional: pyshp==1.2.10 optional: pillow==5.2.0 optional: matplotlib==2.2.3 - optional: xarray==0.10.9 optional: scikit-image==0.14.4 ; CORE ENVIRONMENTS From d63a76a2c5c6a264e96e8aa81c414bd0f24715df Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 13 Feb 2020 16:05:32 -0500 Subject: [PATCH 08/79] comment --- .../python/plotly/plotly/tests/test_core/test_px/test_imshow.py | 1 + 1 file changed, 1 insertion(+) diff --git a/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py b/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py index 43e4748f486..783a0f0d4b3 100644 --- a/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py +++ b/packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py @@ -122,6 +122,7 @@ def test_imshow_xarray(): img = np.random.random((20, 30)) da = xr.DataArray(img, dims=["dim_rows", "dim_cols"]) fig = px.imshow(da) + # Dimensions are used for axis labels and coordinates assert fig.layout.xaxis.title.text == "dim_cols" assert fig.layout.yaxis.title.text == "dim_rows" assert np.all(np.array(fig.data[0].x) == np.array(da.coords["dim_cols"])) From 70def8e30a4add72af5523cc2bdc5538bf9fad95 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 13 Feb 2020 16:18:14 -0500 Subject: [PATCH 09/79] try to regenerate cache --- .circleci/create_conda_optional_env.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/create_conda_optional_env.sh b/.circleci/create_conda_optional_env.sh index ebd907688a5..d1d48f7e998 100755 --- a/.circleci/create_conda_optional_env.sh +++ b/.circleci/create_conda_optional_env.sh @@ -14,7 +14,7 @@ if [ ! -d $HOME/miniconda/envs/circle_optional ]; then ./miniconda.sh -b -p $HOME/miniconda # Create environment - # PYTHON_VERSION=3.6 + # PYTHON_VERSION=2.7 or 3.5 $HOME/miniconda/bin/conda create -n circle_optional --yes python=$PYTHON_VERSION \ requests nbformat six retrying psutil pandas decorator pytest mock nose poppler xarray scikit-image ipython jupyter ipykernel ipywidgets From eca01a6e72fed9cc309029ba4c2bc5e112a59000 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 25 Feb 2020 10:29:07 +0100 Subject: [PATCH 10/79] Update subplots.md Add information about coloraxis in subplots. Issue #1965. --- doc/python/subplots.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/doc/python/subplots.md b/doc/python/subplots.md index d1f411797d1..d0e268d1731 100644 --- a/doc/python/subplots.md +++ b/doc/python/subplots.md @@ -296,6 +296,24 @@ fig.update_layout(height=600, width=600, fig.show() ``` +### Subplots with Shared Colorscale + +To share colorscale information in multiple subplots, you can use [coloraxis](https://plot.ly/javascript/reference/#scatter-marker-line-coloraxis). + +```python +from plotly.subplots import make_subplots +import plotly.graph_objects as go +fig = make_subplots(1, 2) +fig.add_trace(go.Bar(x=[1, 2, 3], y=[4, 5, 6], + marker=dict(color=[4, 5, 6], coloraxis="coloraxis1")), + 1, 1) +fig.add_trace(go.Bar(x=[1, 2, 3], y=[2, 3, 5], + marker=dict(color=[2, 3, 5], coloraxis="coloraxis1")), + 1, 2) +fig.update_layout(coloraxis=dict(colorscale='Bluered_r'), showlegend=False) +fig.show() +``` + #### Custom Sized Subplot with Subplot Titles The `specs` argument to `make_subplots` is used to configure per-subplot options. `specs` must be a 2-dimension list with dimensions that match those provided as the `rows` and `cols` arguments. The elements of `specs` may either be `None`, indicating no subplot should be initialized starting with this grid cell, or a dictionary containing subplot options. The `colspan` subplot option specifies the number of grid columns that the subplot starting in the given cell should occupy. If unspecified, `colspan` defaults to 1. From 4c2c57cacbd2b7a27ee68ae63eda2ca4c4d47db4 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 25 Feb 2020 11:05:33 +0100 Subject: [PATCH 11/79] Update legend.md Add 'Hide the Trace Implicitly' section. Change 'Size of Legend Items' header from h3 to h4. --- doc/python/legend.md | 25 ++++++++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/doc/python/legend.md b/doc/python/legend.md index 9a2996ff178..d11c58305a3 100644 --- a/doc/python/legend.md +++ b/doc/python/legend.md @@ -243,7 +243,30 @@ fig.update_layout( fig.show() ``` -### Size of Legend Items +#### Hide the Trace Implicitly + +`Graph_objects` traces have a `visible` attribute. If set to `legendonly`, the trace is hidden from the graph implicitly. Click on the name in the legend to display the hidden trace. + +```python +import plotly.graph_objects as go + +fig = go.Figure() + +fig.add_trace(go.Scatter( + x=[1, 2, 3, 4, 5], + y=[1, 2, 3, 4, 5], +)) + +fig.add_trace(go.Scatter( + x=[1, 2, 3, 4, 5], + y=[5, 4, 3, 2, 1], + visible='legendonly' +)) + +fig.show() +``` + +#### Size of Legend Items In this example [itemsizing](https://plot.ly/python/reference/#layout-legend-itemsizing) attribute determines the legend items symbols remain constant, regardless of how tiny/huge the bubbles would be in the graph. From 57cbe57b9587a5246476b6acaace0c2b1c6a53f6 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Wed, 26 Feb 2020 11:58:58 -0800 Subject: [PATCH 12/79] Update marker-style.md --- doc/python/marker-style.md | 124 ++++++------------------------------- 1 file changed, 20 insertions(+), 104 deletions(-) diff --git a/doc/python/marker-style.md b/doc/python/marker-style.md index 865ff1052f1..3b54cc00648 100644 --- a/doc/python/marker-style.md +++ b/doc/python/marker-style.md @@ -313,113 +313,29 @@ The basic symbols are: `circle`, `square`, `diamond`, `cross`, `x`, `triangle`, Each basic symbol is also represented by a number. Adding 100 to that number is equivalent to appending the suffix "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot-open" to a symbol name. -In the following figures, hover over a symbol to see its name or number. Set the `marker_symbol` attribute equal to that name or number to change the marker symbol in your figure. - -#### Basic Symbols - -```python -import plotly.graph_objects as go - -fig = go.Figure() - -fig.update_layout(title="Basic Symbols") - -fig.update_xaxes(showticklabels=False) -fig.update_yaxes(showticklabels=False) - -for index in range(27): - fig.add_trace(go.Scatter(x=[(index % 6)], y=[index // 6], name="", - marker_symbol=index, marker_color='black', - marker_size=10, showlegend=False, mode="markers+text", - textposition="middle right", text=f'{index}', - hovertemplate=f'Symbol Number: {index}')) - -fig.show() -``` - -#### All Symbols +In the following figure, hover over a symbol to see its name or number. Set the `marker_symbol` attribute equal to that name or number to change the marker symbol in your figure. ```python import plotly.graph_objects as go - -symbols = [0, 'circle', 100, 'circle-open', 200, 'circle-dot', 300, - 'circle-open-dot', 1, 'square', 101, 'square-open', 201, - 'square-dot', 301, 'square-open-dot', 2, 'diamond', 102, - 'diamond-open', 202, 'diamond-dot', 302, - 'diamond-open-dot', 3, 'cross', 103, 'cross-open', 203, - 'cross-dot', 303, 'cross-open-dot', 4, 'x', 104, 'x-open', - 204, 'x-dot', 304, 'x-open-dot', 5, 'triangle-up', 105, - 'triangle-up-open', 205, 'triangle-up-dot', 305, - 'triangle-up-open-dot', 6, 'triangle-down', 106, - 'triangle-down-open', 206, 'triangle-down-dot', 306, - 'triangle-down-open-dot', 7, 'triangle-left', 107, - 'triangle-left-open', 207, 'triangle-left-dot', 307, - 'triangle-left-open-dot', 8, 'triangle-right', 108, - 'triangle-right-open', 208, 'triangle-right-dot', 308, - 'triangle-right-open-dot', 9, 'triangle-ne', 109, - 'triangle-ne-open', 209, 'triangle-ne-dot', 309, - 'triangle-ne-open-dot', 10, 'triangle-se', 110, - 'triangle-se-open', 210, 'triangle-se-dot', 310, - 'triangle-se-open-dot', 11, 'triangle-sw', 111, - 'triangle-sw-open', 211, 'triangle-sw-dot', 311, - 'triangle-sw-open-dot', 12, 'triangle-nw', 112, - 'triangle-nw-open', 212, 'triangle-nw-dot', 312, - 'triangle-nw-open-dot', 13, 'pentagon', 113, - 'pentagon-open', 213, 'pentagon-dot', 313, - 'pentagon-open-dot', 14, 'hexagon', 114, 'hexagon-open', - 214, 'hexagon-dot', 314, 'hexagon-open-dot', 15, - 'hexagon2', 115, 'hexagon2-open', 215, 'hexagon2-dot', - 315, 'hexagon2-open-dot', 16, 'octagon', 116, - 'octagon-open', 216, 'octagon-dot', 316, - 'octagon-open-dot', 17, 'star', 117, 'star-open', 217, - 'star-dot', 317, 'star-open-dot', 18, 'hexagram', 118, - 'hexagram-open', 218, 'hexagram-dot', 318, - 'hexagram-open-dot', 19, 'star-triangle-up', 119, - 'star-triangle-up-open', 219, 'star-triangle-up-dot', 319, - 'star-triangle-up-open-dot', 20, 'star-triangle-down', - 120, 'star-triangle-down-open', 220, - 'star-triangle-down-dot', 320, - 'star-triangle-down-open-dot', 21, 'star-square', 121, - 'star-square-open', 221, 'star-square-dot', 321, - 'star-square-open-dot', 22, 'star-diamond', 122, - 'star-diamond-open', 222, 'star-diamond-dot', 322, - 'star-diamond-open-dot', 23, 'diamond-tall', 123, - 'diamond-tall-open', 223, 'diamond-tall-dot', 323, - 'diamond-tall-open-dot', 24, 'diamond-wide', 124, - 'diamond-wide-open', 224, 'diamond-wide-dot', 324, - 'diamond-wide-open-dot', 25, 'hourglass', 125, - 'hourglass-open', 26, 'bowtie', 126, 'bowtie-open', 27, - 'circle-cross', 127, 'circle-cross-open', 28, 'circle-x', - 128, 'circle-x-open', 29, 'square-cross', 129, - 'square-cross-open', 30, 'square-x', 130, 'square-x-open', - 31, 'diamond-cross', 131, 'diamond-cross-open', 32, - 'diamond-x', 132, 'diamond-x-open', 33, 'cross-thin', 133, - 'cross-thin-open', 34, 'x-thin', 134, 'x-thin-open', 35, - 'asterisk', 135, 'asterisk-open', 36, 'hash', 136, - 'hash-open', 236, 'hash-dot', 336, 'hash-open-dot', 37, - 'y-up', 137, 'y-up-open', 38, 'y-down', 138, - 'y-down-open', 39, 'y-left', 139, 'y-left-open', 40, - 'y-right', 140, 'y-right-open', 41, 'line-ew', 141, - 'line-ew-open', 42, 'line-ns', 142, 'line-ns-open', 43, - 'line-ne', 143, 'line-ne-open', 44, 'line-nw', 144, - 'line-nw-open'] - -fig = go.Figure() - -fig.update_layout(title="Custom Marker Symbols", height=800) - -fig.update_xaxes(showticklabels=False) -fig.update_yaxes(showticklabels=False) - -for index, symbol in enumerate(symbols[::2]): - fig.add_trace(go.Scatter(x=[(index % 16)], y=[(index // 16)], - marker_symbol=symbol, marker_color=index, - marker_size=20, showlegend=False, mode="markers+text", - name='', - hovertemplate=f'Symbol Name: {symbols[2*index + 1]}
Symbol Number: {symbols[2*index]}', - textfont_size=8 - )) - +from plotly.validators.scatter.marker import SymbolValidator + +raw_symbols = SymbolValidator().values +namestems = [] +namevariants = [] +symbols = [] +for i in range(0,len(raw_symbols),2): + name = raw_symbols[i+1] + symbols.append(raw_symbols[i]) + namestems.append(name.replace("-open", "").replace("-dot", "")) + namevariants.append(name[len(namestems[-1]):]) + +fig = go.Figure(go.Scatter(mode="markers", x=namevariants, y=namestems, marker_symbol=symbols, + marker_line_color="midnightblue", marker_color="lightskyblue", + marker_line_width=2, marker_size=15, + hovertemplate="name: %{y}%{x}
number: %{marker.symbol}")) +fig.update_layout(title="Mouse over symbols for name & number!", + xaxis_range=[-1,4], yaxis_range=[len(set(namestems)),-1], + margin=dict(b=0,r=0), xaxis_side="top", height=1200, width=400) fig.show() ``` From ebf4ba5953333ab396fd734c4bd066522c5f64c8 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Thu, 27 Feb 2020 09:09:30 +0100 Subject: [PATCH 13/79] Update subplots.md added shared_yaxes=True and some spacing for better readability in the section 'Subplots with Shared Colorscale' --- doc/python/subplots.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/doc/python/subplots.md b/doc/python/subplots.md index d0e268d1731..50cf161d45e 100644 --- a/doc/python/subplots.md +++ b/doc/python/subplots.md @@ -303,13 +303,17 @@ To share colorscale information in multiple subplots, you can use [coloraxis](ht ```python from plotly.subplots import make_subplots import plotly.graph_objects as go -fig = make_subplots(1, 2) + +fig = make_subplots(rows=1, cols=2, shared_yaxes=True) + fig.add_trace(go.Bar(x=[1, 2, 3], y=[4, 5, 6], - marker=dict(color=[4, 5, 6], coloraxis="coloraxis1")), + marker=dict(color=[4, 5, 6], coloraxis="coloraxis")), 1, 1) + fig.add_trace(go.Bar(x=[1, 2, 3], y=[2, 3, 5], - marker=dict(color=[2, 3, 5], coloraxis="coloraxis1")), + marker=dict(color=[2, 3, 5], coloraxis="coloraxis")), 1, 2) + fig.update_layout(coloraxis=dict(colorscale='Bluered_r'), showlegend=False) fig.show() ``` From 6b0ca58b80e94a487cd00af4ca2d8a4bdef3e43e Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Thu, 27 Feb 2020 10:05:12 +0100 Subject: [PATCH 14/79] Update axes.md Added section 'Zooming subplots to the same range' --- doc/python/axes.md | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/doc/python/axes.md b/doc/python/axes.md index eea8f8daed7..62b4abea553 100644 --- a/doc/python/axes.md +++ b/doc/python/axes.md @@ -741,6 +741,27 @@ fig.update_yaxes(domain=(0.25, 0.75)) fig.show() ``` +### Zooming subplots to the same range + +Using `facet_col` from `plotly.express` let zoom each facet to the same range impliciltly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter, to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: + +```python +import plotly.graph_objects as go +from plotly.subplots import make_subplots +import numpy as np + +N = 20 +x = np.linspace(0, 1, N) + +fig = make_subplots(1, 3) + +for i in range(1, 4): + fig.add_trace(go.Scatter(x=x, y=np.random.random(N)), 1, i) + +fig.update_xaxes(matches='x') +fig.show() +``` + #### Reference See https://plot.ly/python/reference/#layout-xaxis and https://plot.ly/python/reference/#layout-yaxis for more information and chart attribute options! From 2a5b53ec719f33497755aaef9b00c72d9bf1cd20 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Thu, 27 Feb 2020 10:09:44 +0100 Subject: [PATCH 15/79] Update facet-plots.md Added section 'Zooming subplots to the same range' --- doc/python/facet-plots.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/doc/python/facet-plots.md b/doc/python/facet-plots.md index 999a23fd0e3..98379acedc0 100644 --- a/doc/python/facet-plots.md +++ b/doc/python/facet-plots.md @@ -118,3 +118,20 @@ fig.show() ```python ``` + +### Zooming subplots to the same range + +Using `facet_col` from `plotly.express` let zoom each facet to the same range impliciltly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: + +```python +import plotly.graph_objects as go +from plotly.subplots import make_subplots +import numpy as np +N = 20 +x = np.linspace(0, 1, N) +fig = make_subplots(1, 3) +for i in range(1, 4): + fig.add_trace(go.Scatter(x=x, y=np.random.random(N)), 1, i) +fig.update_xaxes(matches='x') +fig.show() +``` From bdd337f04041e7f4613c603c6cb15ce01ec3fd1f Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 28 Feb 2020 15:32:06 -0800 Subject: [PATCH 16/79] Update figurewidget.md --- doc/python/figurewidget.md | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/python/figurewidget.md b/doc/python/figurewidget.md index 63de6a9c8a3..3fe143b1d57 100644 --- a/doc/python/figurewidget.md +++ b/doc/python/figurewidget.md @@ -31,6 +31,7 @@ jupyter: page_type: example_index permalink: python/figurewidget/ thumbnail: thumbnail/figurewidget-overview.gif + redirect_from: /python/ipython-widgets/ --- #### Create a Simple FigureWidget From c86e0c948cb88f4aad9c14b7d28367ae6672785c Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 28 Feb 2020 15:34:16 -0800 Subject: [PATCH 17/79] Update figurewidget-app.md --- doc/python/figurewidget-app.md | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/python/figurewidget-app.md b/doc/python/figurewidget-app.md index aeeb61013ae..99a17c3116e 100644 --- a/doc/python/figurewidget-app.md +++ b/doc/python/figurewidget-app.md @@ -31,6 +31,7 @@ jupyter: page_type: example_index permalink: python/figurewidget-app/ thumbnail: thumbnail/multi-widget.jpg + redirect_from: /python/slider-widget/ --- #### NYC Flights Database From 0d4fcc6a4f71f2db0d2c8c42b50caf9742fab8b7 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 3 Mar 2020 05:57:30 +0100 Subject: [PATCH 18/79] Update doc/python/facet-plots.md Fix Typo Co-Authored-By: Emmanuelle Gouillart --- doc/python/facet-plots.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/python/facet-plots.md b/doc/python/facet-plots.md index 98379acedc0..ee3c5a3ae8f 100644 --- a/doc/python/facet-plots.md +++ b/doc/python/facet-plots.md @@ -121,7 +121,7 @@ fig.show() ### Zooming subplots to the same range -Using `facet_col` from `plotly.express` let zoom each facet to the same range impliciltly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: +Using `facet_col` from `plotly.express` let zoom each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: ```python import plotly.graph_objects as go From e9b45bd1a529b045b140511a748631f96b9b2519 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 3 Mar 2020 06:17:30 +0100 Subject: [PATCH 19/79] Update facet-plots.md Update 'Synchronizing axes in subplots with matches' title; mention pan in this section. --- doc/python/facet-plots.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/doc/python/facet-plots.md b/doc/python/facet-plots.md index ee3c5a3ae8f..6df50ae549a 100644 --- a/doc/python/facet-plots.md +++ b/doc/python/facet-plots.md @@ -119,16 +119,20 @@ fig.show() ``` -### Zooming subplots to the same range +### Synchronizing axes in subplots with `matches` -Using `facet_col` from `plotly.express` let zoom each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: +Using `facet_col` from `plotly.express` let [zoom](https://help.plot.ly/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plot.ly/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. + +Zoom in one trace below, to see the other subplots zoomed to the same x-axis range. To pan all the subplots, click and drag from the center of x-axis to the side: ```python import plotly.graph_objects as go from plotly.subplots import make_subplots import numpy as np + N = 20 x = np.linspace(0, 1, N) + fig = make_subplots(1, 3) for i in range(1, 4): fig.add_trace(go.Scatter(x=x, y=np.random.random(N)), 1, i) From d83b1b0a481a260a0b7eeb3b41e5ef24adc08160 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 3 Mar 2020 07:10:11 +0100 Subject: [PATCH 20/79] Update histograms.md Added `Accessing the y-axis values` section --- doc/python/histograms.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/doc/python/histograms.md b/doc/python/histograms.md index 76bc94d1d7d..8f003ed869a 100644 --- a/doc/python/histograms.md +++ b/doc/python/histograms.md @@ -69,6 +69,32 @@ fig = px.histogram(df, x="total_bill", nbins=20) fig.show() ``` +#### Accessing the y-axis values + +JavaScript calculates the y-axis (count) values on the fly in the browser, so it's not accessible in the `fig`. You can manually calculate it using `pandas.cut` or `np.digitize`. + +```python +import plotly.express as px +import pandas as pd + +df = px.data.tips() + +# create the bins; use the `range` to get the same bin size as in the histogram in the previous section. +df["total_bill_bins"] = pd.cut(df.total_bill, bins=range(0, 60, 5), right=False) + +# calculate counts +df_counts = df.pivot_table(index="total_bill_bins", values="size", aggfunc='count').reset_index() +df_counts.rename(columns={"size": "count"}, inplace=True) + +# sort, then convert to string +df_counts = df_counts.sort_values(by="total_bill_bins") +df_counts["total_bill_bins"] = df_counts["total_bill_bins"].astype(str) + +# display calculated counts on the bar chart +fig = px.bar(df_counts, x="total_bill_bins", y="count") +fig.show() +``` + #### Type of normalization The default mode is to represent the count of samples in each bin. With the `histnorm` argument, it is also possible to represent the percentage or fraction of samples in each bin (`histnorm='percent'` or `probability`), or a density histogram (the sum of bars is equal to 100, `density`), or a probability density histogram (sum equal to 1, `probability density`). From 5d44a099508a3e51a0358afc7334a52db77eb0e4 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Tue, 3 Mar 2020 07:16:59 +0100 Subject: [PATCH 21/79] Update axes.md Section `Zooming subplots to the same range` updated accordingly to the analogous section in facet-plots.md --- doc/python/axes.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/python/axes.md b/doc/python/axes.md index 62b4abea553..cdab606651e 100644 --- a/doc/python/axes.md +++ b/doc/python/axes.md @@ -741,9 +741,11 @@ fig.update_yaxes(domain=(0.25, 0.75)) fig.show() ``` -### Zooming subplots to the same range +#### Synchronizing axes in subplots with `matches` -Using `facet_col` from `plotly.express` let zoom each facet to the same range impliciltly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter, to zoom all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range: +Using `facet_col` from `plotly.express` let [zoom](https://help.plot.ly/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plot.ly/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. + +Zoom in one trace below, to see the other subplots zoomed to the same x-axis range. To pan all the subplots, click and drag from the center of x-axis to the side: ```python import plotly.graph_objects as go @@ -754,10 +756,8 @@ N = 20 x = np.linspace(0, 1, N) fig = make_subplots(1, 3) - for i in range(1, 4): fig.add_trace(go.Scatter(x=x, y=np.random.random(N)), 1, i) - fig.update_xaxes(matches='x') fig.show() ``` From 235c8091573f88a2d156059face1badb0218ed9c Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Tue, 3 Mar 2020 09:14:49 -0500 Subject: [PATCH 22/79] interact html export docs --- doc/python/interactive-html-export.md | 65 +++++++++++++++++++++++++++ doc/python/static-image-export.md | 8 ++-- 2 files changed, 70 insertions(+), 3 deletions(-) create mode 100644 doc/python/interactive-html-export.md diff --git a/doc/python/interactive-html-export.md b/doc/python/interactive-html-export.md new file mode 100644 index 00000000000..5c919946c99 --- /dev/null +++ b/doc/python/interactive-html-export.md @@ -0,0 +1,65 @@ +--- +jupyter: + jupytext: + notebook_metadata_filter: all + text_representation: + extension: .md + format_name: markdown + format_version: '1.2' + jupytext_version: 1.3.1 + kernelspec: + display_name: Python 3 + language: python + name: python3 + language_info: + codemirror_mode: + name: ipython + version: 3 + file_extension: .py + mimetype: text/x-python + name: python + nbconvert_exporter: python + pygments_lexer: ipython3 + version: 3.6.8 + plotly: + description: Plotly allows you to save interactive HTML versions of your figures + to your local disk. + display_as: file_settings + language: python + layout: base + name: Interactive HTML Export + order: 30 + page_type: u-guide + permalink: python/interactive-html-export/ + thumbnail: thumbnail/static-image-export.png +--- + +### Interactive vs Static Export + +Plotly figures are interactive when viewed in a web browser: you can hover over data points, pan and zoom axes, and show and hide traces by clicking or double-clicking on the legend. You can export figures either to [static image file formats like PNG, JEPG, SVG or PDF](/python/static-image-export/) or you can export them to HTML files which can be opened in a browser. This page explains how to do the latter. + + +### Saving to an HTML file + +Any figure can be saved an HTML file using the `write_html` method. These HTML files can be opened in any web browser to access the fully interactive figure. + +```python +import plotly.express as px + +fig =px.scatter(x=range(10), y=range(10)) +fig.write_html("path/to/file.html") +``` + + +### Controlling the size of the HTML file + +By default, the resulting HTML file is a fully self-contained HTML file which can be uploaded to a web server or shared via email or other file-sharing mechanisms. The downside to this approach is that the file is very large (5Mb+) because it contains an inlined copy of the Plotly.js library required to make the figure interactive. This can be controlled via the `include_plotlyjs` argument (see below). + + +### Full Parameter Documentation + +```python +import plotly.graph_objects as go + +help(go.Figure.write_html) +``` diff --git a/doc/python/static-image-export.md b/doc/python/static-image-export.md index 16dd6c0abee..387fbdd24d5 100644 --- a/doc/python/static-image-export.md +++ b/doc/python/static-image-export.md @@ -35,10 +35,12 @@ jupyter: thumbnail: thumbnail/static-image-export.png --- - -### Static Image Export -It's possible to programmatically export figures as high quality static images while fully offline. +### Interactive vs Static Export + +Plotly figures are interactive when viewed in a web browser: you can hover over data points, pan and zoom axes, and show and hide traces by clicking or double-clicking on the legend. You can export figures either to static image file formats like PNG, JEPG, SVG or PDF or you can [export them to HTML files which can be opened in a browser and remain interactive](/python/interactive-html-export/). This page explains how to do the former. + + #### Install Dependencies Static image generation requires the [orca](https://github.com/plotly/orca) commandline utility and the [psutil](https://github.com/giampaolo/psutil) and [requests](https://2.python-requests.org/en/master/) Python libraries. There are 3 general approach to installing these dependencies. From 3acbd3c6dc03b283c8ead47d0c560bee2394994d Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Fri, 6 Mar 2020 11:08:34 +0100 Subject: [PATCH 23/79] Update histograms.md 'Accessing the counts (y-axis) values' - use example with numpy instead of pandas --- doc/python/histograms.md | 23 +++++++---------------- 1 file changed, 7 insertions(+), 16 deletions(-) diff --git a/doc/python/histograms.md b/doc/python/histograms.md index 8f003ed869a..c558ba5ffa1 100644 --- a/doc/python/histograms.md +++ b/doc/python/histograms.md @@ -69,29 +69,20 @@ fig = px.histogram(df, x="total_bill", nbins=20) fig.show() ``` -#### Accessing the y-axis values +#### Accessing the counts (y-axis) values -JavaScript calculates the y-axis (count) values on the fly in the browser, so it's not accessible in the `fig`. You can manually calculate it using `pandas.cut` or `np.digitize`. +JavaScript calculates the y-axis (count) values on the fly in the browser, so it's not accessible in the `fig`. You can manually calculate it using `np.histogram`. ```python import plotly.express as px -import pandas as pd +import numpy as np df = px.data.tips() +# create the bins +counts, bins = np.histogram(df.total_bill, bins=range(0, 60, 5)) +bins = 0.5 * (bins[:-1] + bins[1:]) -# create the bins; use the `range` to get the same bin size as in the histogram in the previous section. -df["total_bill_bins"] = pd.cut(df.total_bill, bins=range(0, 60, 5), right=False) - -# calculate counts -df_counts = df.pivot_table(index="total_bill_bins", values="size", aggfunc='count').reset_index() -df_counts.rename(columns={"size": "count"}, inplace=True) - -# sort, then convert to string -df_counts = df_counts.sort_values(by="total_bill_bins") -df_counts["total_bill_bins"] = df_counts["total_bill_bins"].astype(str) - -# display calculated counts on the bar chart -fig = px.bar(df_counts, x="total_bill_bins", y="count") +fig = px.bar(x=bins, y=counts, labels={'x':'total_bill', 'y':'count'}) fig.show() ``` From 955052cb0341b3ebd4b72003a662ebee61a37161 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 6 Mar 2020 10:08:37 -0500 Subject: [PATCH 24/79] documentation PR checklist --- .github/pull_request_template.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 .github/pull_request_template.md diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000000..34051a237f1 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,24 @@ +Doc upgrade checklist: + From 4ec2cb3860597f3e4d84e04ca8ff3da8652df9c7 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 6 Mar 2020 10:09:40 -0500 Subject: [PATCH 25/79] documentation PR checklist --- .github/pull_request_template.md | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 34051a237f1..f9fe15214d1 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -1,4 +1,3 @@ -Doc upgrade checklist: +### What About Dash? + +[Dash](https://dash.plot.ly/) is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library. + +Learn about how to install Dash at https://dash.plot.ly/installation. + +Everywhere in this page that you see `fig.show()`, you can display the same figure in a Dash application by passing it to the `figure` argument of the [`Graph` component](https://dash.plot.ly/dash-core-components/graph) from the built-in `dash_core_components` package like this: + +```python +import plotly.graph_objects as go # or plotly.express as px +fig = go.Figure() # or any Plotly Express function e.g. px.bar(...) +# fig.add_trace( ... ) +# fig.update_layout( ... ) + +import dash +import dash_core_components as dcc +import dash_html_components as html + +app = dash.Dash() +app.layout = html.Div([ + dcc.Graph(figure=fig) +]) + +app.run_server(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter +``` + From 18f61eff45acb972652a0971988de94580684980 Mon Sep 17 00:00:00 2001 From: Joseph Damiba Date: Wed, 25 Mar 2020 10:41:58 -0400 Subject: [PATCH 60/79] change .ly to .com --- doc/python/2D-Histogram.md | 4 ++-- doc/python/2d-histogram-contour.md | 2 +- doc/python/3d-axes.md | 2 +- doc/python/3d-bubble-charts.md | 6 +++--- doc/python/3d-camera-controls.md | 2 +- doc/python/3d-isosurface-plots.md | 2 +- doc/python/3d-line-plots.md | 2 +- doc/python/3d-mesh.md | 2 +- doc/python/3d-scatter-plots.md | 8 ++++---- doc/python/3d-subplots.md | 2 +- doc/python/3d-surface-coloring.md | 2 +- doc/python/3d-surface-plots.md | 6 +++--- doc/python/3d-volume.md | 4 ++-- doc/python/aggregations.md | 4 ++-- doc/python/animations.md | 6 +++--- doc/python/annotated-heatmap.md | 2 +- doc/python/axes.md | 6 +++--- doc/python/bar-charts.md | 6 +++--- doc/python/box-plots.md | 6 +++--- doc/python/bubble-charts.md | 10 +++++----- doc/python/bubble-maps.md | 4 ++-- doc/python/bullet-charts.md | 8 ++++---- doc/python/candlestick-charts.md | 2 +- doc/python/carpet-contour.md | 4 ++-- doc/python/carpet-plot.md | 6 +++--- doc/python/carpet-scatter.md | 2 +- doc/python/choropleth-maps.md | 2 +- doc/python/colorscales.md | 8 ++++---- doc/python/compare-webgl-svg.md | 4 ++-- doc/python/cone-plot.md | 2 +- doc/python/contour-plots.md | 2 +- doc/python/county-choropleth.md | 2 +- doc/python/creating-and-updating-figures.md | 2 +- doc/python/custom-buttons.md | 8 ++++---- doc/python/distplot.md | 2 +- doc/python/dot-plots.md | 2 +- doc/python/dropdowns.md | 6 +++--- doc/python/error-bars.md | 4 ++-- doc/python/facet-plots.md | 4 ++-- doc/python/figure-factory-subplots.md | 2 +- doc/python/figure-labels.md | 4 ++-- doc/python/filled-area-on-mapbox.md | 10 +++++----- doc/python/filled-area-plots.md | 4 ++-- doc/python/filter.md | 2 +- doc/python/funnel-charts.md | 4 ++-- doc/python/gantt.md | 2 +- doc/python/gauge-charts.md | 6 +++--- doc/python/getting-started.md | 10 +++++----- doc/python/graphing-multiple-chart-types.md | 2 +- doc/python/group-by.md | 2 +- doc/python/heatmaps.md | 4 ++-- doc/python/histograms.md | 10 +++++----- doc/python/horizontal-bar-charts.md | 6 +++--- doc/python/hover-text-and-formatting.md | 10 +++++----- doc/python/images.md | 8 ++++---- doc/python/imshow.md | 4 ++-- doc/python/indicator.md | 4 ++-- doc/python/legend.md | 4 ++-- doc/python/line-and-scatter.md | 8 ++++---- doc/python/line-charts.md | 8 ++++---- doc/python/lines-on-mapbox.md | 6 +++--- doc/python/lines-on-maps.md | 2 +- doc/python/log-plot.md | 2 +- doc/python/map-configuration.md | 2 +- doc/python/map-subplots-and-small-multiples.md | 2 +- doc/python/mapbox-county-choropleth.md | 2 +- doc/python/mapbox-density-heatmaps.md | 2 +- doc/python/mapbox-layers.md | 2 +- doc/python/marker-style.md | 2 +- doc/python/mixed-subplots.md | 2 +- doc/python/multiple-axes.md | 2 +- doc/python/multiple-transforms.md | 2 +- doc/python/network-graphs.md | 4 ++-- doc/python/ohlc-charts.md | 4 ++-- doc/python/orca-management.md | 2 +- doc/python/parallel-categories-diagram.md | 2 +- doc/python/parallel-coordinates-plot.md | 2 +- doc/python/peak-finding.md | 2 +- doc/python/pie-charts.md | 2 +- doc/python/plot-data-from-csv.md | 2 +- doc/python/plotly-express.md | 2 +- doc/python/polar-chart.md | 6 +++--- doc/python/radar-chart.md | 2 +- doc/python/random-walk.md | 2 +- doc/python/range-slider.md | 2 +- doc/python/renderers.md | 6 +++--- doc/python/sankey-diagram.md | 8 ++++---- doc/python/scatter-plots-on-maps.md | 2 +- doc/python/scattermapbox.md | 4 ++-- doc/python/setting-graph-size.md | 4 ++-- doc/python/shapes.md | 6 +++--- doc/python/sliders.md | 2 +- doc/python/smoothing.md | 2 +- doc/python/splom.md | 2 +- doc/python/streamtube-plot.md | 2 +- doc/python/subplots.md | 6 +++--- doc/python/sunburst-charts.md | 6 +++--- doc/python/table-subplots.md | 4 ++-- doc/python/table.md | 4 ++-- doc/python/ternary-plots.md | 2 +- doc/python/text-and-annotations.md | 12 ++++++------ doc/python/tick-formatting.md | 2 +- doc/python/time-series.md | 4 ++-- doc/python/tree-plots.md | 2 +- doc/python/treemaps.md | 16 ++++++++-------- doc/python/troubleshooting.md | 2 +- doc/python/v4-migration.md | 2 +- doc/python/violin.md | 8 ++++---- doc/python/visualizing-mri-volume-slices.md | 2 +- doc/python/waterfall-charts.md | 6 +++--- doc/python/webgl-vs-svg.md | 4 ++-- doc/python/wind-rose-charts.md | 2 +- 112 files changed, 228 insertions(+), 228 deletions(-) diff --git a/doc/python/2D-Histogram.md b/doc/python/2D-Histogram.md index ecaf3ae26d3..864ddd85c65 100644 --- a/doc/python/2D-Histogram.md +++ b/doc/python/2D-Histogram.md @@ -71,7 +71,7 @@ fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability', fig.show() ``` ### Sharing bin settings between 2D Histograms -This example shows how to use [bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plot.ly/python/reference/#histogram2dcontour-ybins) and `xbins`. +This example shows how to use [bingroup](https://plotly.com/python/reference/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plotly.com/python/reference/#histogram2dcontour-ybins) and `xbins`. ```python import plotly.graph_objects as go @@ -170,4 +170,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#histogram2d for more information and chart attribute options! +See https://plotly.com/python/reference/#histogram2d for more information and chart attribute options! diff --git a/doc/python/2d-histogram-contour.md b/doc/python/2d-histogram-contour.md index 395e134c958..e159ab33597 100644 --- a/doc/python/2d-histogram-contour.md +++ b/doc/python/2d-histogram-contour.md @@ -185,4 +185,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#histogram2dcontour for more information and chart attribute options! +See https://plotly.com/python/reference/#histogram2dcontour for more information and chart attribute options! diff --git a/doc/python/3d-axes.md b/doc/python/3d-axes.md index eb23c01f65c..ee8aa79f7b9 100644 --- a/doc/python/3d-axes.md +++ b/doc/python/3d-axes.md @@ -39,7 +39,7 @@ jupyter: attributes such as `xaxis`, `yaxis` and `zaxis` parameters, in order to set the range, title, ticks, color etc. of the axes. -For creating 3D charts, see [this page](https://plot.ly/python/3d-charts/). +For creating 3D charts, see [this page](https://plotly.com/python/3d-charts/). ```python import plotly.graph_objects as go diff --git a/doc/python/3d-bubble-charts.md b/doc/python/3d-bubble-charts.md index 861551a9e1a..f0848562980 100644 --- a/doc/python/3d-bubble-charts.md +++ b/doc/python/3d-bubble-charts.md @@ -108,7 +108,7 @@ fig = go.Figure(data=go.Scatter3d( mode = 'markers', marker = dict( sizemode = 'diameter', - sizeref = 750, # info on sizeref: https://plot.ly/python/reference/#scatter-marker-sizeref + sizeref = 750, # info on sizeref: https://plotly.com/python/reference/#scatter-marker-sizeref size = planet_diameter, color = planet_colors, ) @@ -147,7 +147,7 @@ fig = go.Figure(go.Scatter3d( mode = 'markers', marker = dict( sizemode = 'diameter', - sizeref = 750, # info on sizeref: https://plot.ly/python/reference/#scatter-marker-sizeref + sizeref = 750, # info on sizeref: https://plotly.com/python/reference/#scatter-marker-sizeref size = planet_diameter, color = temperatures, colorbar_title = 'Mean
Temperature', @@ -167,4 +167,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter3d and https://plot.ly/python/reference/#scatter-marker-sizeref
for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter3d and https://plotly.com/python/reference/#scatter-marker-sizeref
for more information and chart attribute options! diff --git a/doc/python/3d-camera-controls.md b/doc/python/3d-camera-controls.md index e847361a6d4..2bba80fa814 100644 --- a/doc/python/3d-camera-controls.md +++ b/doc/python/3d-camera-controls.md @@ -290,4 +290,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#layout-scene-camera for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-scene-camera for more information and chart attribute options! diff --git a/doc/python/3d-isosurface-plots.md b/doc/python/3d-isosurface-plots.md index 87cdc446951..2b444353f2e 100644 --- a/doc/python/3d-isosurface-plots.md +++ b/doc/python/3d-isosurface-plots.md @@ -235,5 +235,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#isosurface for more information and chart attribute options! +See https://plotly.com/python/reference/#isosurface for more information and chart attribute options! diff --git a/doc/python/3d-line-plots.md b/doc/python/3d-line-plots.md index 0861b9760a4..f49992f785a 100644 --- a/doc/python/3d-line-plots.md +++ b/doc/python/3d-line-plots.md @@ -120,4 +120,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter3d-marker-line for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter3d-marker-line for more information and chart attribute options! diff --git a/doc/python/3d-mesh.md b/doc/python/3d-mesh.md index 24ce40317d4..d180df26fe6 100644 --- a/doc/python/3d-mesh.md +++ b/doc/python/3d-mesh.md @@ -163,4 +163,4 @@ fig.show() ``` ## Reference -See https://plot.ly/python/reference/#mesh3d for more information and chart attribute options! +See https://plotly.com/python/reference/#mesh3d for more information and chart attribute options! diff --git a/doc/python/3d-scatter-plots.md b/doc/python/3d-scatter-plots.md index e102cac7fe4..eedc437f719 100644 --- a/doc/python/3d-scatter-plots.md +++ b/doc/python/3d-scatter-plots.md @@ -37,7 +37,7 @@ jupyter: [Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). -Like the [2D scatter plot](https://plot.ly/python/line-and-scatter/) `px.scatter`, the 3D function `px.scatter_3d` plots individual data in three-dimensional space. +Like the [2D scatter plot](https://plotly.com/python/line-and-scatter/) `px.scatter`, the 3D function `px.scatter_3d` plots individual data in three-dimensional space. ```python import plotly.express as px @@ -77,7 +77,7 @@ fig.update_layout(margin=dict(l=0, r=0, b=0, t=0)) #### Basic 3D Scatter Plot If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Scatter3D` from `plotly.graph_objs`. -Like the [2D scatter plot](https://plot.ly/python/line-and-scatter/) `go.Scatter`, `go.Scatter3d` plots individual data in three-dimensional space. +Like the [2D scatter plot](https://plotly.com/python/line-and-scatter/) `go.Scatter`, `go.Scatter3d` plots individual data in three-dimensional space. ```python import plotly.graph_objects as go @@ -122,7 +122,7 @@ fig.show() ### Dash App -[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-3dscatterplot) can easily be deployed to a PaaS. +[Dash](https://plotly.com/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-3dscatterplot) can easily be deployed to a PaaS. ```python from IPython.display import IFrame @@ -136,4 +136,4 @@ IFrame(src= "https://dash-simple-apps.plotly.host/dash-3dscatterplot/code", widt #### Reference -See https://plot.ly/python/reference/#scatter3d for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter3d for more information and chart attribute options! diff --git a/doc/python/3d-subplots.md b/doc/python/3d-subplots.md index ba48768c252..a5b09729316 100644 --- a/doc/python/3d-subplots.md +++ b/doc/python/3d-subplots.md @@ -82,4 +82,4 @@ fig.show() #### Reference -See https://plot.ly/python/subplots/ for more information regarding subplots! +See https://plotly.com/python/subplots/ for more information regarding subplots! diff --git a/doc/python/3d-surface-coloring.md b/doc/python/3d-surface-coloring.md index 36ad5b8739b..c8c2355c46f 100644 --- a/doc/python/3d-surface-coloring.md +++ b/doc/python/3d-surface-coloring.md @@ -60,5 +60,5 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#surface-surfacecolor for more information! +See https://plotly.com/python/reference/#surface-surfacecolor for more information! diff --git a/doc/python/3d-surface-plots.md b/doc/python/3d-surface-plots.md index 3f7be394df3..7c407f2ca99 100644 --- a/doc/python/3d-surface-plots.md +++ b/doc/python/3d-surface-plots.md @@ -76,7 +76,7 @@ fig.show() #### Surface Plot With Contours -Display and customize contour data for each axis using the `contours` attribute ([reference](plot.ly/python/reference/#surface-contours)). +Display and customize contour data for each axis using the `contours` attribute ([reference](plotly.com/python/reference/#surface-contours)). ```python import plotly.graph_objects as go @@ -98,7 +98,7 @@ fig.update_layout(title='Mt Bruno Elevation', autosize=False, fig.show() ``` #### Configure Surface Contour Levels -This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](https://plot.ly/python/reference/#surface-contours-x-start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level. +This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](https://plotly.com/python/reference/#surface-contours-x-start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level. ```python import plotly.graph_objects as go @@ -166,4 +166,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#surface for more information! +See https://plotly.com/python/reference/#surface for more information! diff --git a/doc/python/3d-volume.md b/doc/python/3d-volume.md index 21094aab6ed..1609deeb113 100644 --- a/doc/python/3d-volume.md +++ b/doc/python/3d-volume.md @@ -190,7 +190,7 @@ fig = go.Figure(data=go.Volume( )) # Change camera view for a better view of the sides, XZ plane -# (see https://plot.ly/python/v3/3d-camera-controls/) +# (see https://plotly.com/python/v3/3d-camera-controls/) fig.update_layout(scene_camera = dict( up=dict(x=0, y=0, z=1), center=dict(x=0, y=0, z=0), @@ -254,7 +254,7 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#volume for more information and chart attribute options! +See https://plotly.com/python/reference/#volume for more information and chart attribute options! #### See also [3D isosurface documentation](/python/3d-isosurface-plots/) diff --git a/doc/python/aggregations.md b/doc/python/aggregations.md index 7a3ec5d69ae..ccd0aeb36a8 100644 --- a/doc/python/aggregations.md +++ b/doc/python/aggregations.md @@ -142,7 +142,7 @@ import plotly.io as pio import pandas as pd -df = pd.read_csv("https://plot.ly/~public.health/17.csv") +df = pd.read_csv("https://plotly.com/~public.health/17.csv") data = [dict( x = df['date'], @@ -270,4 +270,4 @@ pio.show(fig_dict, validate=False) ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/animations.md b/doc/python/animations.md index bf8e21dd230..ed97e36e376 100644 --- a/doc/python/animations.md +++ b/doc/python/animations.md @@ -63,7 +63,7 @@ Along with `data` and `layout`, `frames` can be added as a key in a figure objec #### Adding Control Buttons to Animations -You can add play and pause buttons to control your animated charts by adding an `updatemenus` array to the `layout` of your `figure`. More information on style and placement of the buttons is available in Plotly's [`updatemenus` reference](https://plot.ly/python/reference/#layout-updatemenus). +You can add play and pause buttons to control your animated charts by adding an `updatemenus` array to the `layout` of your `figure`. More information on style and placement of the buttons is available in Plotly's [`updatemenus` reference](https://plotly.com/python/reference/#layout-updatemenus).
The buttons are defined as follows: @@ -389,5 +389,5 @@ fig.show() #### Reference -For additional information and attributes for creating bubble charts in Plotly see: https://plot.ly/python/bubble-charts/. -For more documentation on creating animations with Plotly, see https://plot.ly/python/#animations. +For additional information and attributes for creating bubble charts in Plotly see: https://plotly.com/python/bubble-charts/. +For more documentation on creating animations with Plotly, see https://plotly.com/python/#animations. diff --git a/doc/python/annotated-heatmap.md b/doc/python/annotated-heatmap.md index 9a4a1312a98..4cb13541f7e 100644 --- a/doc/python/annotated-heatmap.md +++ b/doc/python/annotated-heatmap.md @@ -202,7 +202,7 @@ fig.show() ``` #### Reference -For more info on Plotly heatmaps, see: https://plot.ly/python/reference/#heatmap.
For more info on using colorscales with Plotly see: https://plot.ly/python/heatmap-and-contour-colorscales/
For more info on annotated_heatmaps, see: +For more info on Plotly heatmaps, see: https://plotly.com/python/reference/#heatmap.
For more info on using colorscales with Plotly see: https://plotly.com/python/heatmap-and-contour-colorscales/
For more info on annotated_heatmaps, see: ```python help(ff.create_annotated_heatmap) diff --git a/doc/python/axes.md b/doc/python/axes.md index cdab606651e..9633b0a9530 100644 --- a/doc/python/axes.md +++ b/doc/python/axes.md @@ -477,7 +477,7 @@ fig.show() ### Set axis title position -This example sets `standoff` attribute to cartesian axes to determine the distance between the tick labels and the axis title. Note that the axis title position is always constrained within the margins, so the actual standoff distance is always less than the set or default value. By default [automargin](https://plot.ly/python/setting-graph-size/#automatically-adjust-margins) is `True` in Plotly template for the cartesian axis, so the margins will be pushed to fit the axis title at given standoff distance. +This example sets `standoff` attribute to cartesian axes to determine the distance between the tick labels and the axis title. Note that the axis title position is always constrained within the margins, so the actual standoff distance is always less than the set or default value. By default [automargin](https://plotly.com/python/setting-graph-size/#automatically-adjust-margins) is `True` in Plotly template for the cartesian axis, so the margins will be pushed to fit the axis title at given standoff distance. ```python import plotly.graph_objects as go @@ -743,7 +743,7 @@ fig.show() #### Synchronizing axes in subplots with `matches` -Using `facet_col` from `plotly.express` let [zoom](https://help.plot.ly/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plot.ly/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. +Using `facet_col` from `plotly.express` let [zoom](https://help.plotly.com/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plotly.com/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range. To pan all the subplots, click and drag from the center of x-axis to the side: @@ -764,4 +764,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#layout-xaxis and https://plot.ly/python/reference/#layout-yaxis for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-xaxis and https://plotly.com/python/reference/#layout-yaxis for more information and chart attribute options! diff --git a/doc/python/bar-charts.md b/doc/python/bar-charts.md index ec2353d92bb..c137c0b213c 100644 --- a/doc/python/bar-charts.md +++ b/doc/python/bar-charts.md @@ -336,7 +336,7 @@ fig.show() ### Bar Chart with Sorted or Ordered Categories -Set `categoryorder` to `"category ascending"` or `"category descending"` for the alphanumerical order of the category names or `"total ascending"` or `"total descending"` for numerical order of values. [categoryorder](https://plot.ly/python/reference/#layout-xaxis-categoryorder) for more information. Note that sorting the bars by a particular trace isn't possible right now - it's only possible to sort by the total values. Of course, you can always sort your data _before_ plotting it if you need more customization. +Set `categoryorder` to `"category ascending"` or `"category descending"` for the alphanumerical order of the category names or `"total ascending"` or `"total descending"` for numerical order of values. [categoryorder](https://plotly.com/python/reference/#layout-xaxis-categoryorder) for more information. Note that sorting the bars by a particular trace isn't possible right now - it's only possible to sort by the total values. Of course, you can always sort your data _before_ plotting it if you need more customization. This example orders the bar chart alphabetically with `categoryorder: 'category ascending'` @@ -382,8 +382,8 @@ fig.show() ### Horizontal Bar Charts -See examples of horizontal bar charts [here](https://plot.ly/python/horizontal-bar-charts/). +See examples of horizontal bar charts [here](https://plotly.com/python/horizontal-bar-charts/). ### Reference -See https://plot.ly/python/reference/#bar for more information and chart attribute options! +See https://plotly.com/python/reference/#bar for more information and chart attribute options! diff --git a/doc/python/box-plots.md b/doc/python/box-plots.md index 20e6eca52e5..55952b6727c 100644 --- a/doc/python/box-plots.md +++ b/doc/python/box-plots.md @@ -36,7 +36,7 @@ jupyter: thumbnail: thumbnail/box.jpg --- -A [box plot](https://en.wikipedia.org/wiki/Box_plot) is a statistical representation of numerical data through their quartiles. The ends of the box represent the lower and upper quartiles, while the median (second quartile) is marked by a line inside the box. For other statistical representations of numerical data, see [other statistical charts](https://plot.ly/python/statistical-charts/). +A [box plot](https://en.wikipedia.org/wiki/Box_plot) is a statistical representation of numerical data through their quartiles. The ends of the box represent the lower and upper quartiles, while the median (second quartile) is marked by a line inside the box. For other statistical representations of numerical data, see [other statistical charts](https://plotly.com/python/statistical-charts/). ## Box Plot with `plotly.express` @@ -134,7 +134,7 @@ fig.show() ## Box plot with go.Box -If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Box` function from `plotly.graph_objects`. All available options for `go.Box` are described in the reference page https://plot.ly/python/reference/#box. +If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Box` function from `plotly.graph_objects`. All available options for `go.Box` are described in the reference page https://plotly.com/python/reference/#box. ### Basic Box Plot @@ -491,4 +491,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#box for more information and chart attribute options! +See https://plotly.com/python/reference/#box for more information and chart attribute options! diff --git a/doc/python/bubble-charts.md b/doc/python/bubble-charts.md index 4018c782b7d..348825851da 100644 --- a/doc/python/bubble-charts.md +++ b/doc/python/bubble-charts.md @@ -36,7 +36,7 @@ jupyter: ## Bubble chart with plotly.express -A [bubble chart](https://en.wikipedia.org/wiki/Bubble_chart) is a scatter plot in which a third dimension of the data is shown through the size of markers. For other types of scatter plot, see the [line and scatter page](https://plot.ly/python/line-and-scatter/). +A [bubble chart](https://en.wikipedia.org/wiki/Bubble_chart) is a scatter plot in which a third dimension of the data is shown through the size of markers. For other types of scatter plot, see the [line and scatter page](https://plotly.com/python/line-and-scatter/). We first show a bubble chart example using Plotly Express. [Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). The size of markers is set from the dataframe column given as the `size` parameter. @@ -52,7 +52,7 @@ fig.show() ## Bubble Chart with plotly.graph_objects -If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Scatter` from `plotly.graph_objects`, and define the size of markers to create a bubble chart. All of the available options are described in the scatter section of the reference page: https://plot.ly/python/reference#scatter. +If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Scatter` from `plotly.graph_objects`, and define the size of markers to create a bubble chart. All of the available options are described in the scatter section of the reference page: https://plotly.com/python/reference#scatter. ### Simple Bubble Chart @@ -91,8 +91,8 @@ fig.show() To scale the bubble size, use the attribute `sizeref`. We recommend using the following formula to calculate a `sizeref` value:
`sizeref = 2. * max(array of size values) / (desired maximum marker size ** 2)`
-Note that setting 'sizeref' to a value greater than 1, decreases the rendered marker sizes, while setting 'sizeref' to less than 1, increases the rendered marker sizes. See https://plot.ly/python/reference/#scatter-marker-sizeref for more information. -Additionally, we recommend setting the sizemode attribute: https://plot.ly/python/reference/#scatter-marker-sizemode to area. +Note that setting 'sizeref' to a value greater than 1, decreases the rendered marker sizes, while setting 'sizeref' to less than 1, increases the rendered marker sizes. See https://plotly.com/python/reference/#scatter-marker-sizeref for more information. +Additionally, we recommend setting the sizemode attribute: https://plotly.com/python/reference/#scatter-marker-sizemode to area. ```python import plotly.graph_objects as go @@ -222,4 +222,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#scatter for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter for more information and chart attribute options! diff --git a/doc/python/bubble-maps.md b/doc/python/bubble-maps.md index 90aa3a61afe..d9c1b78a20f 100644 --- a/doc/python/bubble-maps.md +++ b/doc/python/bubble-maps.md @@ -74,7 +74,7 @@ To scale the bubble size, use the attribute sizeref. We recommend using the foll Note that setting `sizeref` to a value greater than $1$, decreases the rendered marker sizes, while setting `sizeref` to less than $1$, increases the rendered marker sizes. -See https://plot.ly/python/reference/#scatter-marker-sizeref for more information. Additionally, we recommend setting the sizemode attribute: https://plot.ly/python/reference/#scatter-marker-sizemode to area. +See https://plotly.com/python/reference/#scatter-marker-sizeref for more information. Additionally, we recommend setting the sizemode attribute: https://plotly.com/python/reference/#scatter-marker-sizemode to area. ```python import plotly.graph_objects as go @@ -208,4 +208,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#choropleth and https://plot.ly/python/reference/#scattergeo for more information and chart attribute options! +See https://plotly.com/python/reference/#choropleth and https://plotly.com/python/reference/#scattergeo for more information and chart attribute options! diff --git a/doc/python/bullet-charts.md b/doc/python/bullet-charts.md index ff2297df4b6..c8ca69af844 100644 --- a/doc/python/bullet-charts.md +++ b/doc/python/bullet-charts.md @@ -34,8 +34,8 @@ jupyter: --- #### Basic Bullet Charts -Stephen Few's Bullet Chart was invented to replace dashboard [gauges](https://plot.ly/python/gauge-charts/) and meters, combining both types of charts into simple bar charts with qualitative bars (steps), quantitative bar (bar) and performance line (threshold); all into one simple layout. - Steps typically are broken into several values, which are defined with an array. The bar represent the actual value that a particular variable reached, and the threshold usually indicate a goal point relative to the value achieved by the bar. See [indicator page](https://plot.ly/python/gauge-charts/) for more detail. +Stephen Few's Bullet Chart was invented to replace dashboard [gauges](https://plotly.com/python/gauge-charts/) and meters, combining both types of charts into simple bar charts with qualitative bars (steps), quantitative bar (bar) and performance line (threshold); all into one simple layout. + Steps typically are broken into several values, which are defined with an array. The bar represent the actual value that a particular variable reached, and the threshold usually indicate a goal point relative to the value achieved by the bar. See [indicator page](https://plotly.com/python/gauge-charts/) for more detail. ```python import plotly.graph_objects as go @@ -78,7 +78,7 @@ fig.show() ``` #### Custom Bullet -The following example shows how to customize your charts. For more information about all possible options check our [reference page](https://plot.ly/python/reference/#indicator). +The following example shows how to customize your charts. For more information about all possible options check our [reference page](https://plotly.com/python/reference/#indicator). ```python import plotly.graph_objects as go @@ -167,7 +167,7 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#indicator for more information and chart attribute options! +See https://plotly.com/python/reference/#indicator for more information and chart attribute options! ```python diff --git a/doc/python/candlestick-charts.md b/doc/python/candlestick-charts.md index eeec1a0c311..4f8c48960f2 100644 --- a/doc/python/candlestick-charts.md +++ b/doc/python/candlestick-charts.md @@ -144,4 +144,4 @@ fig.show() ``` #### Reference -For more information on candlestick attributes, see: https://plot.ly/python/reference/#candlestick +For more information on candlestick attributes, see: https://plotly.com/python/reference/#candlestick diff --git a/doc/python/carpet-contour.md b/doc/python/carpet-contour.md index 47cf84347f0..720eb2eadc1 100644 --- a/doc/python/carpet-contour.md +++ b/doc/python/carpet-contour.md @@ -37,7 +37,7 @@ jupyter: ### Basic Carpet Plot -Set the `x` and `y` coorindates, using `x` and `y` attributes. If `x` coorindate values are ommitted a cheater plot will be created. To save parameter values use `a` and `b` attributes. To make changes to the axes, use `aaxis` or `baxis` attributes. For a more detailed list of axes attributes refer to [python reference](https://plot.ly/python/reference/#carpet-aaxis). +Set the `x` and `y` coorindates, using `x` and `y` attributes. If `x` coorindate values are ommitted a cheater plot will be created. To save parameter values use `a` and `b` attributes. To make changes to the axes, use `aaxis` or `baxis` attributes. For a more detailed list of axes attributes refer to [python reference](https://plotly.com/python/reference/#carpet-aaxis). ```python import plotly.graph_objects as go @@ -286,4 +286,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#contourcarpet for more information and chart attribute options! +See https://plotly.com/python/reference/#contourcarpet for more information and chart attribute options! diff --git a/doc/python/carpet-plot.md b/doc/python/carpet-plot.md index f4f0db30197..5820da84198 100644 --- a/doc/python/carpet-plot.md +++ b/doc/python/carpet-plot.md @@ -70,7 +70,7 @@ fig.show() ### Add A and B axis -Use `aaxis` or `baxis` list to make changes to the axes. For a more detailed list of attributes refer to [R reference](https://plot.ly/r/reference/#carpet-aaxis). +Use `aaxis` or `baxis` list to make changes to the axes. For a more detailed list of attributes refer to [R reference](https://plotly.com/r/reference/#carpet-aaxis). ```python inputHidden=false outputHidden=false import plotly.graph_objects as go @@ -184,9 +184,9 @@ fig.show() ### Add Points and Contours -To add points and lines see [Carpet Scatter Plots](https://plot.ly/python/carpet-scatter) or to add contours see [Carpet Contour Plots](https://plot.ly/python/carpet-contour) +To add points and lines see [Carpet Scatter Plots](https://plotly.com/python/carpet-scatter) or to add contours see [Carpet Contour Plots](https://plotly.com/python/carpet-contour) ### Reference -See https://plot.ly/python/reference/#carpet for more information and chart attribute options! +See https://plotly.com/python/reference/#carpet for more information and chart attribute options! diff --git a/doc/python/carpet-scatter.md b/doc/python/carpet-scatter.md index a2293608aa2..e771cd5d909 100644 --- a/doc/python/carpet-scatter.md +++ b/doc/python/carpet-scatter.md @@ -187,4 +187,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#scattercarpet for more information and chart attribute options! +See https://plotly.com/python/reference/#scattercarpet for more information and chart attribute options! diff --git a/doc/python/choropleth-maps.md b/doc/python/choropleth-maps.md index f71d85dc975..bd3535e2e6e 100644 --- a/doc/python/choropleth-maps.md +++ b/doc/python/choropleth-maps.md @@ -348,4 +348,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#choropleth for more information and chart attribute options! +See https://plotly.com/python/reference/#choropleth for more information and chart attribute options! diff --git a/doc/python/colorscales.md b/doc/python/colorscales.md index 918c308557c..4fab915e659 100644 --- a/doc/python/colorscales.md +++ b/doc/python/colorscales.md @@ -418,7 +418,7 @@ fig.show() ### Setting the Midpoint of a Diverging Color scale with Graph Objects -The following example uses the [marker.cmid](https://plot.ly/python/reference/#scatter-marker-cmid) attribute to set the mid-point of the color domain by scaling 'cmin' and/or 'cmax' to be equidistant to this point. It only has impact when [marker.color](https://plot.ly/python/reference/#scattercarpet-marker-line-color) sets to a numerical array, and 'marker.cauto' is `True`. +The following example uses the [marker.cmid](https://plotly.com/python/reference/#scatter-marker-cmid) attribute to set the mid-point of the color domain by scaling 'cmin' and/or 'cmax' to be equidistant to this point. It only has impact when [marker.color](https://plotly.com/python/reference/#scattercarpet-marker-line-color) sets to a numerical array, and 'marker.cauto' is `True`. ```python import plotly.graph_objects as go @@ -432,7 +432,7 @@ fig.add_trace(go.Scatter( fig.show() ``` -The heatmap chart uses [marker.zmid](https://plot.ly/python/reference/#scatter-marker-zmid) attribute to set the mid-point of the color domain. +The heatmap chart uses [marker.zmid](https://plotly.com/python/reference/#scatter-marker-zmid) attribute to set the mid-point of the color domain. ```python import plotly.graph_objects as go @@ -508,7 +508,7 @@ fig.show() ### Sharing a Color Axis with Graph Objects -To share colorscale information in multiple subplots, you can use [coloraxis](https://plot.ly/javascript/reference/#scatter-marker-line-coloraxis). +To share colorscale information in multiple subplots, you can use [coloraxis](https://plotly.com/javascript/reference/#scatter-marker-line-coloraxis). ```python import plotly.graph_objects as go @@ -558,4 +558,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/compare-webgl-svg.md b/doc/python/compare-webgl-svg.md index 022fca807cd..62c50ef2483 100644 --- a/doc/python/compare-webgl-svg.md +++ b/doc/python/compare-webgl-svg.md @@ -101,5 +101,5 @@ fig.show() For more information see
-`Scattergl()` : https://plot.ly/python/reference/#scattergl
-`Scatter()` : https://plot.ly/python/reference/#scatter +`Scattergl()` : https://plotly.com/python/reference/#scattergl
+`Scatter()` : https://plotly.com/python/reference/#scatter diff --git a/doc/python/cone-plot.md b/doc/python/cone-plot.md index 0ffcb4aad71..2169d3f2ae5 100644 --- a/doc/python/cone-plot.md +++ b/doc/python/cone-plot.md @@ -127,5 +127,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/contour-plots.md b/doc/python/contour-plots.md index 5a5608cac95..f662d6ec6fb 100644 --- a/doc/python/contour-plots.md +++ b/doc/python/contour-plots.md @@ -339,4 +339,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#contour for more information and chart attribute options! +See https://plotly.com/python/reference/#contour for more information and chart attribute options! diff --git a/doc/python/county-choropleth.md b/doc/python/county-choropleth.md index 904eff8fb9b..01ba4b1c549 100644 --- a/doc/python/county-choropleth.md +++ b/doc/python/county-choropleth.md @@ -273,7 +273,7 @@ fig.layout.template = None fig.show() ``` -Also see Mapbox county choropleths made in Python: [https://plot.ly/python/mapbox-county-choropleth/](https://plot.ly/python/mapbox-county-choropleth/) +Also see Mapbox county choropleths made in Python: [https://plotly.com/python/mapbox-county-choropleth/](https://plotly.com/python/mapbox-county-choropleth/) #### Reference diff --git a/doc/python/creating-and-updating-figures.md b/doc/python/creating-and-updating-figures.md index 89710a448a9..7e7502fa850 100644 --- a/doc/python/creating-and-updating-figures.md +++ b/doc/python/creating-and-updating-figures.md @@ -62,7 +62,7 @@ The value of the top-level `"data"` key is a list of trace specifications. Each The value of the top-level `"layout"` key is a dictionary that specifies the properties of the figure's layout. In contrast to trace configuration options that apply to individual traces, the layout configuration options apply to the figure as a whole, customizing items like the axes, annotations, shapes, legend, and more. -The [_Full Reference_](https://plot.ly/python/reference/) page contains descriptions of all of the supported trace and layout options. +The [_Full Reference_](https://plotly.com/python/reference/) page contains descriptions of all of the supported trace and layout options. If working from the _Full Reference_ to build figures as Python dictionaries and lists suites your needs, go for it! This is a perfectly valid way to use plotly.py to build figures. On the other hand, if you would like an API that offers a bit more assistance, read on to learn about graph objects. diff --git a/doc/python/custom-buttons.md b/doc/python/custom-buttons.md index 33c76ec9218..8454dcaeac1 100644 --- a/doc/python/custom-buttons.md +++ b/doc/python/custom-buttons.md @@ -34,11 +34,11 @@ jupyter: --- #### Methods -The [updatemenu method](https://plot.ly/python/reference/#layout-updatemenus-buttons-method) determines which [plotly.js function](https://plot.ly/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: +The [updatemenu method](https://plotly.com/python/reference/#layout-updatemenus-buttons-method) determines which [plotly.js function](https://plotly.com/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: - `"restyle"`: modify data or data attributes - `"relayout"`: modify layout attributes - `"update"`: modify data **and** layout attributes -- `"animate"`: start or pause an [animation](https://plot.ly/python/#animations)) +- `"animate"`: start or pause an [animation](https://plotly.com/python/#animations)) #### Restyle Button @@ -456,8 +456,8 @@ fig.show() ``` #### Animate Button -Refer to our animation docs: https://plot.ly/python/#animations for examples on how to use the `animate` method with Plotly buttons. +Refer to our animation docs: https://plotly.com/python/#animations for examples on how to use the `animate` method with Plotly buttons. #### Reference -See https://plot.ly/python/reference/#layout-updatemenus for more information about `updatemenu` buttons. +See https://plotly.com/python/reference/#layout-updatemenus for more information about `updatemenu` buttons. diff --git a/doc/python/distplot.md b/doc/python/distplot.md index b2bedfeffbe..1b3f2256fd2 100644 --- a/doc/python/distplot.md +++ b/doc/python/distplot.md @@ -35,7 +35,7 @@ jupyter: ## Combined statistical representations with px.histogram -Several representations of statistical distributions are available in plotly, such as [histograms](https://plot.ly/python/histograms/), [violin plots](https://plot.ly/python/violin/), [box plots](https://plot.ly/python/box-plots/) (see [the complete list here](https://plot.ly/python/statistical-charts/)). It is also possible to combine several representations in the same plot. +Several representations of statistical distributions are available in plotly, such as [histograms](https://plotly.com/python/histograms/), [violin plots](https://plotly.com/python/violin/), [box plots](https://plotly.com/python/box-plots/) (see [the complete list here](https://plotly.com/python/statistical-charts/)). It is also possible to combine several representations in the same plot. For example, the `plotly.express` function `px.histogram` can add a subplot with a different statistical representation than the histogram, given by the parameter `marginal`. [Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). diff --git a/doc/python/dot-plots.md b/doc/python/dot-plots.md index a5aaa6997ee..bb212eb4069 100644 --- a/doc/python/dot-plots.md +++ b/doc/python/dot-plots.md @@ -158,4 +158,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#scatter for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter for more information and chart attribute options! diff --git a/doc/python/dropdowns.md b/doc/python/dropdowns.md index ca9a77df2e2..12bf1ad3ba5 100644 --- a/doc/python/dropdowns.md +++ b/doc/python/dropdowns.md @@ -34,11 +34,11 @@ jupyter: --- #### Methods -The [updatemenu method](https://plot.ly/python/reference/#layout-updatemenus-buttons-method) determines which [plotly.js function](https://plot.ly/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: +The [updatemenu method](https://plotly.com/python/reference/#layout-updatemenus-buttons-method) determines which [plotly.js function](https://plotly.com/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: - `"restyle"`: modify data or data attributes - `"relayout"`: modify layout attributes - `"update"`: modify data **and** layout attributes -- `"animate"`: start or pause an [animation](https://plot.ly/python/#animations) +- `"animate"`: start or pause an [animation](https://plotly.com/python/#animations) ## Restyle Dropdown @@ -445,4 +445,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout-updatemenus for more information about `updatemenu` dropdowns. +See https://plotly.com/python/reference/#layout-updatemenus for more information about `updatemenu` dropdowns. diff --git a/doc/python/error-bars.md b/doc/python/error-bars.md index 4a3f7dc7539..bd3cf91b6a2 100644 --- a/doc/python/error-bars.md +++ b/doc/python/error-bars.md @@ -35,7 +35,7 @@ jupyter: ### Error Bars with Plotly Express -[Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). For functions representing 2D data points such as [`px.scatter`](https://plot.ly/python/line-and-scatter/), [`px.line`](https://plot.ly/python/line-charts/), [`px.bar`](https://plot.ly/python/bar-charts/) etc., error bars are given as a column name which is the value of the `error_x` (for the error on x position) and `error_y` (for the error on y position). +[Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). For functions representing 2D data points such as [`px.scatter`](https://plotly.com/python/line-and-scatter/), [`px.line`](https://plotly.com/python/line-charts/), [`px.bar`](https://plotly.com/python/bar-charts/) etc., error bars are given as a column name which is the value of the `error_x` (for the error on x position) and `error_y` (for the error on y position). ```python import plotly.express as px @@ -202,4 +202,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter for more information and chart attribute options! diff --git a/doc/python/facet-plots.md b/doc/python/facet-plots.md index 6df50ae549a..5bfd632fae8 100644 --- a/doc/python/facet-plots.md +++ b/doc/python/facet-plots.md @@ -103,7 +103,7 @@ fig.show() ### Customize Subplot Figure Titles -Since subplot figure titles are [annotations](https://plot.ly/python/text-and-annotations/#simple-annotation), you can use the `for_each_annotation` function to customize them. +Since subplot figure titles are [annotations](https://plotly.com/python/text-and-annotations/#simple-annotation), you can use the `for_each_annotation` function to customize them. In the following example, we pass a lambda function to `for_each_annotation` in order to change the figure subplot titles from `smoker=No` and `smoker=Yes` to just `No` and `Yes`. @@ -121,7 +121,7 @@ fig.show() ### Synchronizing axes in subplots with `matches` -Using `facet_col` from `plotly.express` let [zoom](https://help.plot.ly/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plot.ly/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. +Using `facet_col` from `plotly.express` let [zoom](https://help.plotly.com/zoom-pan-hover-controls/#step-3-zoom-in-and-zoom-out-autoscale-the-plot) and [pan](https://help.plotly.com/zoom-pan-hover-controls/#step-6-pan-along-axes) each facet to the same range implicitly. However, if the subplots are created with `make_subplots`, the axis needs to be updated with `matches` parameter to update all the subplots accordingly. Zoom in one trace below, to see the other subplots zoomed to the same x-axis range. To pan all the subplots, click and drag from the center of x-axis to the side: diff --git a/doc/python/figure-factory-subplots.md b/doc/python/figure-factory-subplots.md index 0c34731f249..db946d73b58 100644 --- a/doc/python/figure-factory-subplots.md +++ b/doc/python/figure-factory-subplots.md @@ -210,4 +210,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/subplots/ for more information on working with subplots. See https://plot.ly/python/reference/ for more information regarding chart attributes! +See https://plotly.com/python/subplots/ for more information on working with subplots. See https://plotly.com/python/reference/ for more information regarding chart attributes! diff --git a/doc/python/figure-labels.md b/doc/python/figure-labels.md index 0d879357bab..38a3ec7f930 100644 --- a/doc/python/figure-labels.md +++ b/doc/python/figure-labels.md @@ -69,7 +69,7 @@ fig.show() The configuration of the legend is discussed in detail in the [Legends](/python/legend/) page. ### Align Plot Title -The following example shows how to align the plot title in [layout.title](https://plot.ly/python/reference/#layout-title). `x` sets the x position with respect to `xref` from "0" (left) to "1" (right), and `y` sets the y position with respect to `yref` from "0" (bottom) to "1" (top). Moreover, you can define `xanchor` to `left`,`right`, or `center` for setting the title's horizontal alignment with respect to its x position, and/or `yanchor` to `top`, `bottom`, or `middle` for setting the title's vertical alignment with respect to its y position. +The following example shows how to align the plot title in [layout.title](https://plotly.com/python/reference/#layout-title). `x` sets the x position with respect to `xref` from "0" (left) to "1" (right), and `y` sets the y position with respect to `yref` from "0" (bottom) to "1" (top). Moreover, you can define `xanchor` to `left`,`right`, or `center` for setting the title's horizontal alignment with respect to its x position, and/or `yanchor` to `top`, `bottom`, or `middle` for setting the title's vertical alignment with respect to its y position. ```python import plotly.graph_objects as go @@ -90,4 +90,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout for more information! +See https://plotly.com/python/reference/#layout for more information! diff --git a/doc/python/filled-area-on-mapbox.md b/doc/python/filled-area-on-mapbox.md index 7b7ebe982a8..979b9afd6de 100644 --- a/doc/python/filled-area-on-mapbox.md +++ b/doc/python/filled-area-on-mapbox.md @@ -41,9 +41,9 @@ To plot on Mapbox maps with Plotly you _may_ need a Mapbox account and a public There are three different ways to show a filled area in a Mapbox map: -1. Use a [Scattermapbox](https://plot.ly/python/reference/#scattermapbox) trace and set `fill` attribute to 'toself' -2. Use a Mapbox layout (i.e. by minimally using an empty [Scattermapbox](https://plot.ly/python/reference/#scattermapbox) trace) and add a GeoJSON layer -3. Use the [Choroplethmapbox](https://plot.ly/python/mapbox-county-choropleth/) trace type +1. Use a [Scattermapbox](https://plotly.com/python/reference/#scattermapbox) trace and set `fill` attribute to 'toself' +2. Use a Mapbox layout (i.e. by minimally using an empty [Scattermapbox](https://plotly.com/python/reference/#scattermapbox) trace) and add a GeoJSON layer +3. Use the [Choroplethmapbox](https://plotly.com/python/mapbox-county-choropleth/) trace type ### Filled `Scattermapbox` Trace @@ -70,7 +70,7 @@ fig.show() ### Multiple Filled Areas with a `Scattermapbox` trace -The following example shows how to use `None` in your data to draw multiple filled areas. Such gaps in trace data are unconnected by default, but this can be controlled via the [connectgaps](https://plot.ly/python/reference/#scattermapbox-connectgaps) attribute. +The following example shows how to use `None` in your data to draw multiple filled areas. Such gaps in trace data are unconnected by default, but this can be controlled via the [connectgaps](https://plotly.com/python/reference/#scattermapbox-connectgaps) attribute. ```python import plotly.graph_objects as go @@ -141,4 +141,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scattermapbox for more information about mapbox and their attribute options. +See https://plotly.com/python/reference/#scattermapbox for more information about mapbox and their attribute options. diff --git a/doc/python/filled-area-plots.md b/doc/python/filled-area-plots.md index 645edc87ef9..347fbeb1efb 100644 --- a/doc/python/filled-area-plots.md +++ b/doc/python/filled-area-plots.md @@ -210,6 +210,6 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter-line -and https://plot.ly/python/reference/#scatter-fill +See https://plotly.com/python/reference/#scatter-line +and https://plotly.com/python/reference/#scatter-fill for more information and attribute options! diff --git a/doc/python/filter.md b/doc/python/filter.md index b1798d1a34f..d3fb6a86886 100644 --- a/doc/python/filter.md +++ b/doc/python/filter.md @@ -64,4 +64,4 @@ pio.show(fig_dict, validate=False) ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/funnel-charts.md b/doc/python/funnel-charts.md index 669b3221f3a..cf9c6898f93 100644 --- a/doc/python/funnel-charts.md +++ b/doc/python/funnel-charts.md @@ -74,7 +74,7 @@ fig.show() ### Setting Marker Size and Color -This example uses [textposition](https://plot.ly/python/reference/#scatter-textposition) and [textinfo](https://plot.ly/python/reference/#funnel-textinfo) to determine information apears on the graph, and shows how to customize the bars. +This example uses [textposition](https://plotly.com/python/reference/#scatter-textposition) and [textinfo](https://plotly.com/python/reference/#funnel-textinfo) to determine information apears on the graph, and shows how to customize the bars. ```python from plotly import graph_objects as go @@ -202,4 +202,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#funnel and https://plot.ly/python/reference/#funnelarea for more information and chart attribute options! +See https://plotly.com/python/reference/#funnel and https://plotly.com/python/reference/#funnelarea for more information and chart attribute options! diff --git a/doc/python/gantt.md b/doc/python/gantt.md index 63df4f0ad28..e63e58f5c96 100644 --- a/doc/python/gantt.md +++ b/doc/python/gantt.md @@ -36,7 +36,7 @@ jupyter: A [Gantt chart](https://en.wikipedia.org/wiki/Gantt_chart) is a type of bar chart that illustrates a project schedule. The chart lists the tasks to be performed on the vertical axis, and time intervals on the horizontal axis. The width of the horizontal bars in the graph shows the duration of each activity. -See also the [bar charts examples](https://plot.ly/python/bar-charts/). +See also the [bar charts examples](https://plotly.com/python/bar-charts/). #### Simple Gantt Chart diff --git a/doc/python/gauge-charts.md b/doc/python/gauge-charts.md index ad0167e2e4b..0d6ba38127a 100644 --- a/doc/python/gauge-charts.md +++ b/doc/python/gauge-charts.md @@ -41,7 +41,7 @@ A radial gauge chart has a circular arc, which displays a single value to estima The bar shows the target value, and the shading represents the progress toward that goal. Gauge charts, known as speedometer charts as well. This chart type is usually used to illustrate key business indicators. - The example below displays a basic gauge chart with default attributes. For more information about different added attributes check [indicator](https://plot.ly/python/indicator/) tutorial. + The example below displays a basic gauge chart with default attributes. For more information about different added attributes check [indicator](https://plotly.com/python/indicator/) tutorial. ```python import plotly.graph_objects as go @@ -78,7 +78,7 @@ fig.show() ``` #### Custom Gauge Chart -The following example shows how to style your gauge charts. For more information about all possible options check our [reference page](https://plot.ly/python/reference/#indicator). +The following example shows how to style your gauge charts. For more information about all possible options check our [reference page](https://plotly.com/python/reference/#indicator). ```python import plotly.graph_objects as go @@ -110,4 +110,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#indicator for more information and chart attribute options! +See https://plotly.com/python/reference/#indicator for more information and chart attribute options! diff --git a/doc/python/getting-started.md b/doc/python/getting-started.md index 73aa5696371..5d44383c434 100644 --- a/doc/python/getting-started.md +++ b/doc/python/getting-started.md @@ -38,9 +38,9 @@ jupyter: ### Overview -The plotly Python library ([plotly.py](https://plot.ly/python/)) is an interactive, [open-source](https://github.com/plotly/plotly.py) plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases. +The plotly Python library ([plotly.py](https://plotly.com/python/)) is an interactive, [open-source](https://github.com/plotly/plotly.py) plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases. -Built on top of the Plotly JavaScript library ([plotly.js](https://plot.ly/javascript/)), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash. +Built on top of the Plotly JavaScript library ([plotly.js](https://plotly.com/javascript/)), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash. Thanks to deep integration with the [orca](https://github.com/plotly/orca) image export utility, plotly.py also provides great support for non-web contexts including desktop editors (e.g. QtConsole, Spyder, PyCharm) and static document publishing (e.g. exporting notebooks to PDF with high-quality vector images). @@ -240,7 +240,7 @@ or conda. $ conda install -c plotly plotly-geo=1.0.0 ``` -See [_USA County Choropleth Maps in Python_](https://plot.ly/python/county-choropleth/) for more information on the county choropleth figure factory. +See [_USA County Choropleth Maps in Python_](https://plotly.com/python/county-choropleth/) for more information on the county choropleth figure factory. #### Chart Studio Support @@ -271,8 +271,8 @@ For information on theming plotly figures, see [_Theming and templates with plot For information on all of the ways that plotly figures can be displayed, see [_Displaying plotly figures with plotly for Python_](/python/renderers/). -For the full searchable reference of every figure property, see the [_Python figure reference_](https://plot.ly/python/reference/). +For the full searchable reference of every figure property, see the [_Python figure reference_](https://plotly.com/python/reference/). -For information on using Python to build web applications containing plotly figures, see the [_Dash User Guide_](https://dash.plot.ly/). +For information on using Python to build web applications containing plotly figures, see the [_Dash User Guide_](https://dash.plotly.com/). diff --git a/doc/python/graphing-multiple-chart-types.md b/doc/python/graphing-multiple-chart-types.md index 12d8231dc86..118e1c6a616 100644 --- a/doc/python/graphing-multiple-chart-types.md +++ b/doc/python/graphing-multiple-chart-types.md @@ -98,4 +98,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/ for more information and attribute options! +See https://plotly.com/python/reference/ for more information and attribute options! diff --git a/doc/python/group-by.md b/doc/python/group-by.md index 0d927e6a4de..ac9d1464523 100644 --- a/doc/python/group-by.md +++ b/doc/python/group-by.md @@ -62,4 +62,4 @@ pio.show(fig_dict, validate=False) ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/heatmaps.md b/doc/python/heatmaps.md index ec2735bf725..90acbd7a06b 100644 --- a/doc/python/heatmaps.md +++ b/doc/python/heatmaps.md @@ -67,7 +67,7 @@ fig.show() ### Heatmap with Categorical Axis Labels -In this example we also show how to ignore [hovertext](https://plot.ly/python/hover-text-and-formatting/) when we have [missing values](https://plot.ly/python/missing_values) in the data by setting the [hoverongaps](https://plot.ly/python/reference/#heatmap-hoverongaps) to False. +In this example we also show how to ignore [hovertext](https://plotly.com/python/hover-text-and-formatting/) when we have [missing values](https://plotly.com/python/missing_values) in the data by setting the [hoverongaps](https://plotly.com/python/reference/#heatmap-hoverongaps) to False. ```python import plotly.graph_objects as go @@ -168,4 +168,4 @@ Arrays of rasterized values build by datashader can be visualized using plotly's heatmaps, as shown in the [plotly and datashader tutorial](/python/datashader/). #### Reference -See https://plot.ly/python/reference/#heatmap for more information and chart attribute options! +See https://plotly.com/python/reference/#heatmap for more information and chart attribute options! diff --git a/doc/python/histograms.md b/doc/python/histograms.md index 2d60749cd0d..7227e1d9ac3 100644 --- a/doc/python/histograms.md +++ b/doc/python/histograms.md @@ -134,7 +134,7 @@ fig.show() #### Visualizing the distribution -With the `marginal` keyword, a subplot is drawn alongside the histogram, visualizing the distribution. See [the distplot page](https://plot.ly/python/distplot/)for more examples of combined statistical representations. +With the `marginal` keyword, a subplot is drawn alongside the histogram, visualizing the distribution. See [the distplot page](https://plotly.com/python/distplot/)for more examples of combined statistical representations. ```python import plotly.express as px @@ -146,7 +146,7 @@ fig.show() ## Histograms with go.Histogram -If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Histogram` from `plotly.graph_objects`. All of the available histogram options are described in the histogram section of the reference page: https://plot.ly/python/reference#histogram. +If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Histogram` from `plotly.graph_objects`. All of the available histogram options are described in the histogram section of the reference page: https://plotly.com/python/reference#histogram. ### Basic Histogram @@ -306,7 +306,7 @@ fig.show() ### Custom Binning -For custom binning along x-axis, use the attribute [`nbinsx`](https://plot.ly/python/reference/#histogram-nbinsx). Please note that the autobin algorithm will choose a 'nice' round bin size that may result in somewhat fewer than `nbinsx` total bins. Alternatively, you can set the exact values for [`xbins`](https://plot.ly/python/reference/#histogram-xbins) along with `autobinx = False`. +For custom binning along x-axis, use the attribute [`nbinsx`](https://plotly.com/python/reference/#histogram-nbinsx). Please note that the autobin algorithm will choose a 'nice' round bin size that may result in somewhat fewer than `nbinsx` total bins. Alternatively, you can set the exact values for [`xbins`](https://plotly.com/python/reference/#histogram-xbins) along with `autobinx = False`. ```python import plotly.graph_objects as go @@ -369,7 +369,7 @@ fig2.show() ### Share bins between histograms -In this example both histograms have a compatible bin settings using [bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute. Note that traces on the same subplot, and with the same `barmode` ("stack", "relative", "group") are forced into the same `bingroup`, however traces with `barmode = "overlay"` and on different axes (of the same axis type) can have compatible bin settings. Histogram and [histogram2d](https://plot.ly/python/2D-Histogram/) trace can share the same `bingroup`. +In this example both histograms have a compatible bin settings using [bingroup](https://plotly.com/python/reference/#histogram-bingroup) attribute. Note that traces on the same subplot, and with the same `barmode` ("stack", "relative", "group") are forced into the same `bingroup`, however traces with `barmode = "overlay"` and on different axes (of the same axis type) can have compatible bin settings. Histogram and [histogram2d](https://plotly.com/python/2D-Histogram/) trace can share the same `bingroup`. ```python import plotly.graph_objects as go @@ -392,4 +392,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#histogram for more information and chart attribute options! +See https://plotly.com/python/reference/#histogram for more information and chart attribute options! diff --git a/doc/python/horizontal-bar-charts.md b/doc/python/horizontal-bar-charts.md index b9daa15e407..d80525f3c58 100644 --- a/doc/python/horizontal-bar-charts.md +++ b/doc/python/horizontal-bar-charts.md @@ -33,7 +33,7 @@ jupyter: thumbnail: thumbnail/horizontal-bar.jpg --- -See more examples of bar charts (including vertical bar charts) and styling options [here](https://plot.ly/python/bar-charts/). +See more examples of bar charts (including vertical bar charts) and styling options [here](https://plotly.com/python/bar-charts/). ### Horizontal Bar Chart with Plotly Express @@ -64,7 +64,7 @@ fig.show() ### Horizontal Bar Chart with go.Bar -When data are not available as a tidy dataframe, you can use the more generic function `go.Bar` from `plotly.graph_objects`. All the options of `go.Bar` are documented in the reference https://plot.ly/python/reference/#bar +When data are not available as a tidy dataframe, you can use the more generic function `go.Bar` from `plotly.graph_objects`. All the options of `go.Bar` are documented in the reference https://plotly.com/python/reference/#bar #### Basic Horizontal Bar Chart @@ -335,4 +335,4 @@ fig.show() ### Reference -See more examples of bar charts and styling options [here](https://plot.ly/python/bar-charts/).
See https://plot.ly/python/reference/#bar for more information and chart attribute options! +See more examples of bar charts and styling options [here](https://plotly.com/python/bar-charts/).
See https://plotly.com/python/reference/#bar for more information and chart attribute options! diff --git a/doc/python/hover-text-and-formatting.md b/doc/python/hover-text-and-formatting.md index 585a61f746b..ca645b46d79 100644 --- a/doc/python/hover-text-and-formatting.md +++ b/doc/python/hover-text-and-formatting.md @@ -103,10 +103,10 @@ fig.show() ### Customize tooltip text with a hovertemplate -To customize the tooltip on your graph you can use [hovertemplate](https://plot.ly/python/reference/#pie-hovertemplate), which is a template string used for rendering the information that appear on hoverbox. +To customize the tooltip on your graph you can use [hovertemplate](https://plotly.com/python/reference/#pie-hovertemplate), which is a template string used for rendering the information that appear on hoverbox. This template string can include `variables` in %{variable} format, `numbers` in [d3-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_forma), and `date` in [d3-time-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Time-Formatting.md#format). -Hovertemplate customize the tooltip text vs. [texttemplate](https://plot.ly/python/reference/#pie-texttemplate) which customizes the text that appears on your chart.
-Set the horizontal alignment of the text within tooltip with [hoverlabel.align](https://plot.ly/python/reference/#layout-hoverlabel-align). +Hovertemplate customize the tooltip text vs. [texttemplate](https://plotly.com/python/reference/#pie-texttemplate) which customizes the text that appears on your chart.
+Set the horizontal alignment of the text within tooltip with [hoverlabel.align](https://plotly.com/python/reference/#layout-hoverlabel-align). ```python import plotly.graph_objects as go @@ -150,7 +150,7 @@ fig.show() ### Advanced Hover Template -The following example shows how to format hover template. [Here](https://plot.ly/python/v3/hover-text-and-formatting/#dash-example) is an example to see how to format hovertemplate in Dash. +The following example shows how to format hover template. [Here](https://plotly.com/python/v3/hover-text-and-formatting/#dash-example) is an example to see how to format hovertemplate in Dash. ```python import plotly.graph_objects as go @@ -260,4 +260,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/images.md b/doc/python/images.md index d20d6c3b05a..e00b49f7d8b 100644 --- a/doc/python/images.md +++ b/doc/python/images.md @@ -56,7 +56,7 @@ fig.add_trace( # Add images fig.add_layout_image( dict( - source="https://images.plot.ly/language-icons/api-home/python-logo.png", + source="https://images.plotly.com/language-icons/api-home/python-logo.png", xref="x", yref="y", x=0, @@ -75,7 +75,7 @@ fig.show() ``` #### Add a Logo -See more examples of [adding logos to charts](https://plot.ly/python/logos/)! +See more examples of [adding logos to charts](https://plotly.com/python/logos/)! ```python import plotly.graph_objects as go @@ -301,9 +301,9 @@ fig.update_layout( ) # Disable the autosize on double click because it adds unwanted margins around the image -# More detail: https://plot.ly/python/configuration-options/ +# More detail: https://plotly.com/python/configuration-options/ fig.show(config={'doubleClick': 'reset'}) ``` #### Reference -See https://plot.ly/python/reference/#layout-images for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-images for more information and chart attribute options! diff --git a/doc/python/imshow.md b/doc/python/imshow.md index ba5b0c20cb7..ea192b9a29b 100644 --- a/doc/python/imshow.md +++ b/doc/python/imshow.md @@ -141,7 +141,7 @@ img = data.astronaut() # Increase contrast by clipping the data range between 50 and 200 fig = px.imshow(img, zmin=50, zmax=200) # We customize the hovertemplate to show both the data and the color values -# See https://plot.ly/python/hover-text-and-formatting/#customize-tooltip-text-with-a-hovertemplate +# See https://plotly.com/python/hover-text-and-formatting/#customize-tooltip-text-with-a-hovertemplate fig.update_traces(hovertemplate="x: %{x}
y: %{y}
z: %{z}
color: %{color}") fig.show() ``` @@ -206,5 +206,5 @@ examples on how to use plotly and datashader. #### Reference -See https://plot.ly/python/reference/#image for more information and chart attribute options! +See https://plotly.com/python/reference/#image for more information and chart attribute options! diff --git a/doc/python/indicator.md b/doc/python/indicator.md index 2bd0ad5bafd..a695045b20b 100644 --- a/doc/python/indicator.md +++ b/doc/python/indicator.md @@ -63,7 +63,7 @@ In this tutorial we introduce a new trace named "Indicator". The purpose of "ind
  • position: position relative to `number` (either top, left, bottom, right)
    • Finally, we can have a simple title for the indicator via `title` with 'text' attribute which is a string, and 'align' which can be set to left, center, and right. - There are two gauge types: [angular](https://plot.ly/python/gauge-charts/) and [bullet](https://plot.ly/python/bullet-charts/). Here is a combination of both shapes (angular, bullet), and different modes (guage, delta, and value): + There are two gauge types: [angular](https://plotly.com/python/gauge-charts/) and [bullet](https://plotly.com/python/bullet-charts/). Here is a combination of both shapes (angular, bullet), and different modes (guage, delta, and value): ```python import plotly.graph_objects as go @@ -202,7 +202,7 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#indicator for more information and chart attribute options! +See https://plotly.com/python/reference/#indicator for more information and chart attribute options! ```python diff --git a/doc/python/legend.md b/doc/python/legend.md index d11c58305a3..f8840b4c922 100644 --- a/doc/python/legend.md +++ b/doc/python/legend.md @@ -268,7 +268,7 @@ fig.show() #### Size of Legend Items -In this example [itemsizing](https://plot.ly/python/reference/#layout-legend-itemsizing) attribute determines the legend items symbols remain constant, regardless of how tiny/huge the bubbles would be in the graph. +In this example [itemsizing](https://plotly.com/python/reference/#layout-legend-itemsizing) attribute determines the legend items symbols remain constant, regardless of how tiny/huge the bubbles would be in the graph. ```python import plotly.graph_objects as go @@ -434,4 +434,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#layout-legend for more information! +See https://plotly.com/python/reference/#layout-legend for more information! diff --git a/doc/python/line-and-scatter.md b/doc/python/line-and-scatter.md index 30318eb0d59..1bd9fe4fdcd 100644 --- a/doc/python/line-and-scatter.md +++ b/doc/python/line-and-scatter.md @@ -88,7 +88,7 @@ fig.show() ## Scatter and line plot with go.Scatter -If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Scatter` function from `plotly.graph_objects`. Whereas `plotly.express` has two functions `scatter` and `line`, `go.Scatter` can be used both for plotting points (makers) or lines, depending on the value of `mode`. The different options of `go.Scatter` are documented in its [reference page](https://plot.ly/python/reference/#scatter). +If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Scatter` function from `plotly.graph_objects`. Whereas `plotly.express` has two functions `scatter` and `line`, `go.Scatter` can be used both for plotting points (makers) or lines, depending on the value of `mode`. The different options of `go.Scatter` are documented in its [reference page](https://plotly.com/python/reference/#scatter). #### Simple Scatter Plot @@ -107,7 +107,7 @@ fig.show() #### Line and Scatter Plots -Use `mode` argument to choose between markers, lines, or a combination of both. For more options about line plots, see also the [line charts notebook](https://plot.ly/python/line-charts/) and the [filled area plots notebook](https://plot.ly/python/filled-area-plots/). +Use `mode` argument to choose between markers, lines, or a combination of both. For more options about line plots, see also the [line charts notebook](https://plotly.com/python/line-charts/) and the [filled area plots notebook](https://plotly.com/python/filled-area-plots/). ```python import plotly.graph_objects as go @@ -140,7 +140,7 @@ fig.show() #### Bubble Scatter Plots -In [bubble charts](https://en.wikipedia.org/wiki/Bubble_chart), a third dimension of the data is shown through the size of markers. For more examples, see the [bubble chart notebook](https://plot.ly/python/bubble-charts/) +In [bubble charts](https://en.wikipedia.org/wiki/Bubble_chart), a third dimension of the data is shown through the size of markers. For more examples, see the [bubble chart notebook](https://plotly.com/python/bubble-charts/) ```python import plotly.graph_objects as go @@ -276,4 +276,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#scatter or https://plot.ly/python/reference/#scattergl for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter or https://plotly.com/python/reference/#scattergl for more information and chart attribute options! diff --git a/doc/python/line-charts.md b/doc/python/line-charts.md index 820df106692..31c11a8dfab 100644 --- a/doc/python/line-charts.md +++ b/doc/python/line-charts.md @@ -39,7 +39,7 @@ jupyter: [Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). With `px.line`, each data point is represented as a vertex (which location is given by the `x` and `y` columns) of a **polyline mark** in 2D space. -For more examples of line plots, see the [line and scatter notebook](https://plot.ly/python/line-and-scatter/). +For more examples of line plots, see the [line and scatter notebook](https://plotly.com/python/line-and-scatter/). #### Simple Line Plot with plotly.express @@ -72,7 +72,7 @@ fig.show() ### Line Plot with go.Scatter -If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Scatter` function from `plotly.graph_objects`. Whereas `plotly.express` has two functions `scatter` and `line`, `go.Scatter` can be used both for plotting points (makers) or lines, depending on the value of `mode`. The different options of `go.Scatter` are documented in its [reference page](https://plot.ly/python/reference/#scatter). +If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Scatter` function from `plotly.graph_objects`. Whereas `plotly.express` has two functions `scatter` and `line`, `go.Scatter` can be used both for plotting points (makers) or lines, depending on the value of `mode`. The different options of `go.Scatter` are documented in its [reference page](https://plotly.com/python/reference/#scatter). #### Simple Line Plot @@ -161,7 +161,7 @@ fig.show() #### Connect Data Gaps -[connectgaps](https://plot.ly/python/reference/#scatter-connectgaps) determines if missing values in the provided data are shown as a gap in the graph or not. In [this tutorial](https://plot.ly/python/filled-area-on-mapbox/#multiple-filled-areas-with-a-scattermapbox-trace), we showed how to take benefit of this feature and illustrate multiple areas in mapbox. +[connectgaps](https://plotly.com/python/reference/#scatter-connectgaps) determines if missing values in the provided data are shown as a gap in the graph or not. In [this tutorial](https://plotly.com/python/filled-area-on-mapbox/#multiple-filled-areas-with-a-scattermapbox-trace), we showed how to take benefit of this feature and illustrate multiple areas in mapbox. ```python import plotly.graph_objects as go @@ -408,4 +408,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter for more information and chart attribute options! diff --git a/doc/python/lines-on-mapbox.md b/doc/python/lines-on-mapbox.md index 7f72184756d..cbee7bc0a46 100644 --- a/doc/python/lines-on-mapbox.md +++ b/doc/python/lines-on-mapbox.md @@ -37,7 +37,7 @@ jupyter: To plot on Mapbox maps with Plotly you _may_ need a Mapbox account and a public [Mapbox Access Token](https://www.mapbox.com/studio). See our [Mapbox Map Layers](/python/mapbox-layers/) documentation for more information. -To draw a line on your map, you either can use [`px.line_mapbox()`](https://www.plotly.express/plotly_express/#plotly_express.line_mapbox) in Plotly Express, or [`Scattermapbox`](https://plot.ly/python/reference/#scattermapbox) traces. Below we show you how to draw a line on Mapbox using Plotly Express. +To draw a line on your map, you either can use [`px.line_mapbox()`](https://www.plotly.express/plotly_express/#plotly_express.line_mapbox) in Plotly Express, or [`Scattermapbox`](https://plotly.com/python/reference/#scattermapbox) traces. Below we show you how to draw a line on Mapbox using Plotly Express. ### Lines on Mapbox maps using Plotly Express @@ -60,7 +60,7 @@ fig.show() ### Lines on Mapbox maps using `Scattermapbox` traces This example uses `go.Scattermapbox` and sets -the [mode](https://plot.ly/python/reference/#scattermapbox-mode) attribute to a combination of markers and line. +the [mode](https://plotly.com/python/reference/#scattermapbox-mode) attribute to a combination of markers and line. ```python import plotly.graph_objects as go @@ -90,4 +90,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scattermapbox for more information about mapbox and their attribute options. +See https://plotly.com/python/reference/#scattermapbox for more information about mapbox and their attribute options. diff --git a/doc/python/lines-on-maps.md b/doc/python/lines-on-maps.md index e0e4dfe057e..eb0510d114f 100644 --- a/doc/python/lines-on-maps.md +++ b/doc/python/lines-on-maps.md @@ -215,4 +215,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scattergeo for more information and chart attribute options! +See https://plotly.com/python/reference/#scattergeo for more information and chart attribute options! diff --git a/doc/python/log-plot.md b/doc/python/log-plot.md index 12caec57977..d649da7a693 100644 --- a/doc/python/log-plot.md +++ b/doc/python/log-plot.md @@ -54,5 +54,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout-xaxis-type for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-xaxis-type for more information and chart attribute options! diff --git a/doc/python/map-configuration.md b/doc/python/map-configuration.md index 36e5439dbe2..5bd29ead005 100644 --- a/doc/python/map-configuration.md +++ b/doc/python/map-configuration.md @@ -220,7 +220,7 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#layout-geo for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-geo for more information and chart attribute options! ```python diff --git a/doc/python/map-subplots-and-small-multiples.md b/doc/python/map-subplots-and-small-multiples.md index 706fab0d77f..89c51085645 100644 --- a/doc/python/map-subplots-and-small-multiples.md +++ b/doc/python/map-subplots-and-small-multiples.md @@ -162,5 +162,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#scattergeo for more information and chart attribute options! +See https://plotly.com/python/reference/#scattergeo for more information and chart attribute options! diff --git a/doc/python/mapbox-county-choropleth.md b/doc/python/mapbox-county-choropleth.md index 10b26e914b1..a6d73afe769 100644 --- a/doc/python/mapbox-county-choropleth.md +++ b/doc/python/mapbox-county-choropleth.md @@ -210,4 +210,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#choroplethmapbox for more information about mapbox and their attribute options. +See https://plotly.com/python/reference/#choroplethmapbox for more information about mapbox and their attribute options. diff --git a/doc/python/mapbox-density-heatmaps.md b/doc/python/mapbox-density-heatmaps.md index 7c4535e22b4..ab96b9fd3c0 100644 --- a/doc/python/mapbox-density-heatmaps.md +++ b/doc/python/mapbox-density-heatmaps.md @@ -72,4 +72,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#densitymapbox for more information about mapbox and their attribute options. +See https://plotly.com/python/reference/#densitymapbox for more information about mapbox and their attribute options. diff --git a/doc/python/mapbox-layers.md b/doc/python/mapbox-layers.md index ecb68d5cf3b..fcf56c61367 100644 --- a/doc/python/mapbox-layers.md +++ b/doc/python/mapbox-layers.md @@ -192,4 +192,4 @@ See the example in the [plotly and datashader tutorial](/python/datashader). #### Reference -See https://plot.ly/python/reference/#layout-mapbox for more information and options! +See https://plotly.com/python/reference/#layout-mapbox for more information and options! diff --git a/doc/python/marker-style.md b/doc/python/marker-style.md index 3b54cc00648..7e67a6f61ab 100644 --- a/doc/python/marker-style.md +++ b/doc/python/marker-style.md @@ -342,4 +342,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/mixed-subplots.md b/doc/python/mixed-subplots.md index 74b73de2386..56299456ffa 100644 --- a/doc/python/mixed-subplots.md +++ b/doc/python/mixed-subplots.md @@ -116,4 +116,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/multiple-axes.md b/doc/python/multiple-axes.md index ff64c197298..8df0465f5a1 100644 --- a/doc/python/multiple-axes.md +++ b/doc/python/multiple-axes.md @@ -225,4 +225,4 @@ fig.show() ``` #### Reference -All of the y-axis properties are found here: https://plot.ly/python/reference/#YAxis. For more information on creating subplots see the [Subplots in Python](/python/subplots/) section. +All of the y-axis properties are found here: https://plotly.com/python/reference/#YAxis. For more information on creating subplots see the [Subplots in Python](/python/subplots/) section. diff --git a/doc/python/multiple-transforms.md b/doc/python/multiple-transforms.md index 0df705417fc..b41f322f2ea 100644 --- a/doc/python/multiple-transforms.md +++ b/doc/python/multiple-transforms.md @@ -208,4 +208,4 @@ pio.show(fig_dict, validate=False) ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options! +See https://plotly.com/python/reference/ for more information and chart attribute options! diff --git a/doc/python/network-graphs.md b/doc/python/network-graphs.md index f64bb39c912..8acf4972249 100644 --- a/doc/python/network-graphs.md +++ b/doc/python/network-graphs.md @@ -134,7 +134,7 @@ fig = go.Figure(data=[edge_trace, node_trace], hovermode='closest', margin=dict(b=20,l=5,r=5,t=40), annotations=[ dict( - text="Python code: https://plot.ly/ipython-notebooks/network-graphs/", + text="Python code: https://plotly.com/ipython-notebooks/network-graphs/", showarrow=False, xref="paper", yref="paper", x=0.005, y=-0.002 ) ], @@ -146,4 +146,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatter for more information and chart attribute options! +See https://plotly.com/python/reference/#scatter for more information and chart attribute options! diff --git a/doc/python/ohlc-charts.md b/doc/python/ohlc-charts.md index ac49289b396..585688df9ac 100644 --- a/doc/python/ohlc-charts.md +++ b/doc/python/ohlc-charts.md @@ -25,7 +25,7 @@ jupyter: The [OHLC](https://en.wikipedia.org/wiki/Open-high-low-close_chart) chart (for open, high, low and close) is a style of financial chart describing open, high, low and close values for a given `x` coordinate (most likely time). The tip of the lines represent the `low` and `high` values and the horizontal segments represent the `open` and `close` values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing items are drawn in green whereas decreasing are drawn in red. -See also [Candlestick Charts](https://plot.ly/python/candlestick-charts/) and [other financial charts](https://plot.ly/python/#financial-charts). +See also [Candlestick Charts](https://plotly.com/python/candlestick-charts/) and [other financial charts](https://plotly.com/python/#financial-charts). #### Simple OHLC Chart with Pandas @@ -155,4 +155,4 @@ fig.show() ``` #### Reference -For more information on candlestick attributes, see: https://plot.ly/python/reference/#ohlc +For more information on candlestick attributes, see: https://plotly.com/python/reference/#ohlc diff --git a/doc/python/orca-management.md b/doc/python/orca-management.md index 7f0b471c474..0761747ec0b 100644 --- a/doc/python/orca-management.md +++ b/doc/python/orca-management.md @@ -184,7 +184,7 @@ will be applied automatically in future sessions. You can do this as follows: >>> plotly.io.orca.config.save() If you're still having trouble, feel free to ask for help on the forums at -https://community.plot.ly/c/api/python +https://community.plotly.com/c/api/python ---------------------------------------------------------------------------- ``` If this happens, follow the instructions in the error message and specify the full path to you orca executable using the `plotly.io.orca.config.executable` configuration property. diff --git a/doc/python/parallel-categories-diagram.md b/doc/python/parallel-categories-diagram.md index 58ff71bd587..0d13144ffb9 100644 --- a/doc/python/parallel-categories-diagram.md +++ b/doc/python/parallel-categories-diagram.md @@ -288,4 +288,4 @@ widgets.VBox([color_toggle, fig]) #### Reference -See [reference page](https://plot.ly/python/reference/#parcats) for more information and chart attribute options! +See [reference page](https://plotly.com/python/reference/#parcats) for more information and chart attribute options! diff --git a/doc/python/parallel-coordinates-plot.md b/doc/python/parallel-coordinates-plot.md index b33b410ab42..034f372e0fb 100644 --- a/doc/python/parallel-coordinates-plot.md +++ b/doc/python/parallel-coordinates-plot.md @@ -173,4 +173,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#parcoords for more information and chart attribute options! +See https://plotly.com/python/reference/#parcoords for more information and chart attribute options! diff --git a/doc/python/peak-finding.md b/doc/python/peak-finding.md index 4d37cea64db..f04375af7ec 100644 --- a/doc/python/peak-finding.md +++ b/doc/python/peak-finding.md @@ -36,7 +36,7 @@ jupyter: #### Imports -The tutorial below imports [Pandas](https://plot.ly/pandas/intro-to-pandas-tutorial/), and [SciPy](https://www.scipy.org/). +The tutorial below imports [Pandas](https://plotly.com/pandas/intro-to-pandas-tutorial/), and [SciPy](https://www.scipy.org/). ```python import pandas as pd diff --git a/doc/python/pie-charts.md b/doc/python/pie-charts.md index d8b76cb5965..dce6a8dea13 100644 --- a/doc/python/pie-charts.md +++ b/doc/python/pie-charts.md @@ -304,4 +304,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#pie for more information and chart attribute options! +See https://plotly.com/python/reference/#pie for more information and chart attribute options! diff --git a/doc/python/plot-data-from-csv.md b/doc/python/plot-data-from-csv.md index 1efd4fc7d74..6e3c8258764 100644 --- a/doc/python/plot-data-from-csv.md +++ b/doc/python/plot-data-from-csv.md @@ -76,4 +76,4 @@ fig.show() #### Reference -See https://plot.ly/python/getting-started for more information about Plotly's Python API! +See https://plotly.com/python/getting-started for more information about Plotly's Python API! diff --git a/doc/python/plotly-express.md b/doc/python/plotly-express.md index b5584b757b9..e0396d9c213 100644 --- a/doc/python/plotly-express.md +++ b/doc/python/plotly-express.md @@ -41,7 +41,7 @@ Plotly Express is the easy-to-use, high-level interface to Plotly, which [operat > **Note**: Plotly Express was previously its own separately-installed `plotly_express` package but is now part of `plotly` and importable via `import plotly.express as px`. -This notebook demonstrates various `plotly.express` features. [Reference documentation](https://plot.ly/python-api-reference/plotly.express.html) is also available, as well as a [tutorial on input argument types](/python/px-arguments) and one on how to [style figures made with Plotly Express](/python/styling-plotly-express/). +This notebook demonstrates various `plotly.express` features. [Reference documentation](https://plotly.com/python-api-reference/plotly.express.html) is also available, as well as a [tutorial on input argument types](/python/px-arguments) and one on how to [style figures made with Plotly Express](/python/styling-plotly-express/). You can also read our original [Medium announcement article](https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d) for more information on this library. diff --git a/doc/python/polar-chart.md b/doc/python/polar-chart.md index 237344c5e8b..ad8b8671ea5 100644 --- a/doc/python/polar-chart.md +++ b/doc/python/polar-chart.md @@ -72,7 +72,7 @@ fig = px.line_polar(df, r="frequency", theta="direction", color="strength", line fig.show() ``` -See also the [wind rose page](https://plot.ly/python/wind-rose-charts/) for more wind rose visualizations in polar coordinates. +See also the [wind rose page](https://plotly.com/python/wind-rose-charts/) for more wind rose visualizations in polar coordinates. You can plot less than a whole circle with the `range_theta` argument, and also control the `start_angle` and `direction`: @@ -85,7 +85,7 @@ fig.show() ## Polar Scatter Plot with go.Scatterpolar -If Plotly Express does not provide a good starting point, you can use the more generic `go.Scatterpolar`. All the options are documented in the [reference page](https://plot.ly/python/reference/#scatterpolar). +If Plotly Express does not provide a good starting point, you can use the more generic `go.Scatterpolar`. All the options are documented in the [reference page](https://plotly.com/python/reference/#scatterpolar). #### Basic Polar Chart @@ -438,4 +438,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatterpolar for more information and chart attribute options! +See https://plotly.com/python/reference/#scatterpolar for more information and chart attribute options! diff --git a/doc/python/radar-chart.md b/doc/python/radar-chart.md index 6ffa8c5fbfb..22e021a2312 100644 --- a/doc/python/radar-chart.md +++ b/doc/python/radar-chart.md @@ -129,4 +129,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scatterpolar for more information and chart attribute options! +See https://plotly.com/python/reference/#scatterpolar for more information and chart attribute options! diff --git a/doc/python/random-walk.md b/doc/python/random-walk.md index 11867ddb80e..2434a54228e 100644 --- a/doc/python/random-walk.md +++ b/doc/python/random-walk.md @@ -34,7 +34,7 @@ jupyter: thumbnail: /images/static-image --- -A [random walk](https://en.wikipedia.org/wiki/Random_walk) can be thought of as a random process in which a token or a marker is randomly moved around some space, that is, a space with a metric used to compute distance. It is more commonly conceptualized in one dimension ($\mathbb{Z}$), two dimensions ($\mathbb{Z}^2$) or three dimensions ($\mathbb{Z}^3$) in Cartesian space, where $\mathbb{Z}$ represents the set of integers. In the visualizations below, we will be using [scatter plots](https://plot.ly/python/line-and-scatter/) as well as a colorscale to denote the time sequence of the walk. +A [random walk](https://en.wikipedia.org/wiki/Random_walk) can be thought of as a random process in which a token or a marker is randomly moved around some space, that is, a space with a metric used to compute distance. It is more commonly conceptualized in one dimension ($\mathbb{Z}$), two dimensions ($\mathbb{Z}^2$) or three dimensions ($\mathbb{Z}^3$) in Cartesian space, where $\mathbb{Z}$ represents the set of integers. In the visualizations below, we will be using [scatter plots](https://plotly.com/python/line-and-scatter/) as well as a colorscale to denote the time sequence of the walk. #### Random Walk in 1D diff --git a/doc/python/range-slider.md b/doc/python/range-slider.md index 31b7074007f..e3437e16f97 100644 --- a/doc/python/range-slider.md +++ b/doc/python/range-slider.md @@ -342,4 +342,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout-xaxis-rangeselector
    and https://plot.ly/python/reference/#layout-xaxis-rangeslider
    for more information and attribute options! +See https://plotly.com/python/reference/#layout-xaxis-rangeselector
    and https://plotly.com/python/reference/#layout-xaxis-rangeslider
    for more information and attribute options! diff --git a/doc/python/renderers.md b/doc/python/renderers.md index c041fdba9fc..ddd27bd8c11 100644 --- a/doc/python/renderers.md +++ b/doc/python/renderers.md @@ -156,7 +156,7 @@ The `plotly_mimetype` renderer creates a specification of the plotly figure (cal These are aliases for `plotly_mimetype` since this renderer is a good choice when working in JupyterLab, nteract, and the Visual Studio Code notebook interface. ##### Static image renderers -A set of renderers is provided for displaying figures as static images. These renderers all rely on the orca static image export utility. See the [Static Image Export](https://plot.ly/python/static-image-export/) page for more information on getting set up with orca. +A set of renderers is provided for displaying figures as static images. These renderers all rely on the orca static image export utility. See the [Static Image Export](https://plotly.com/python/static-image-export/) page for more information on getting set up with orca. ###### `png`, `jpeg`, and `svg` These renderers display figures as static PNG, JPEG, and SVG images respectively. These renderers are useful for user interfaces that do not support inline HTML output, but do support inline static images. Examples include the [QtConsole](https://qtconsole.readthedocs.io/en/stable/), [Spyder](https://www.spyder-ide.org/), and the PyCharm [notebook interface](https://www.jetbrains.com/help/pycharm/jupyter-notebook-support.html). @@ -224,11 +224,11 @@ fig.show(renderer="png", width=800, height=300) ``` ### Displaying figures using Dash -Dash is a Python framework for building web applications, and it provides built-in support for displaying Plotly figures. See the [Dash User Guide](https://dash.plot.ly/) for more information. +Dash is a Python framework for building web applications, and it provides built-in support for displaying Plotly figures. See the [Dash User Guide](https://dash.plotly.com/) for more information. It is important to note that Dash does not use the renderers framework discussed above, so you should not use the `.show` figure method or the `plotly.io.show` function inside Dash applications. ## Displaying figures using ipywidgets -Plotly figures can be displayed in [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) contexts using `plotly.graph_objects.FigureWidget` objects. `FigureWidget` is a figure graph object (Just like `plotly.graph_objects.Figure`) so you can add traces to it and update it just like a regular `Figure`. But `FigureWidget` is also an ipywidgets object, which means that you can display it alongside other ipywidgets to build user interfaces right in the notebook. See the [Plotly FigureWidget Overview](https://plot.ly/python/figurewidget/) for more information on integrating plotly figures with ipywidgets. +Plotly figures can be displayed in [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) contexts using `plotly.graph_objects.FigureWidget` objects. `FigureWidget` is a figure graph object (Just like `plotly.graph_objects.Figure`) so you can add traces to it and update it just like a regular `Figure`. But `FigureWidget` is also an ipywidgets object, which means that you can display it alongside other ipywidgets to build user interfaces right in the notebook. See the [Plotly FigureWidget Overview](https://plotly.com/python/figurewidget/) for more information on integrating plotly figures with ipywidgets. It is important to note that `FigureWidget` does not use the renderers framework discussed above, so you should not use the `.show` figure method or the `plotly.io.show` function on `FigureWidget` objects. diff --git a/doc/python/sankey-diagram.md b/doc/python/sankey-diagram.md index 518e43d8646..83ac4faded0 100644 --- a/doc/python/sankey-diagram.md +++ b/doc/python/sankey-diagram.md @@ -39,7 +39,7 @@ A [Sankey diagram](https://en.wikipedia.org/wiki/Sankey_diagram) is a flow diagr ### Basic Sankey Diagram -Sankey diagrams visualize the contributions to a flow by defining [source](https://plot.ly/python/reference/#sankey-link-source) to represent the source node, [target](https://plot.ly/python/reference/#sankey-link-target) for the target node, [value](https://plot.ly/python/reference/#sankey-link-value) to set the flow volum, and [label](https://plot.ly/python/reference/#sankey-node-label) that shows the node name. +Sankey diagrams visualize the contributions to a flow by defining [source](https://plotly.com/python/reference/#sankey-link-source) to represent the source node, [target](https://plotly.com/python/reference/#sankey-link-target) for the target node, [value](https://plotly.com/python/reference/#sankey-link-value) to set the flow volum, and [label](https://plotly.com/python/reference/#sankey-node-label) that shows the node name. ```python import plotly.graph_objects as go @@ -96,7 +96,7 @@ fig.show() ``` ### Style Sankey Diagram -This example also uses [hovermode](https://plot.ly/python/reference/#layout-hovermode) to enable multiple tooltips. +This example also uses [hovermode](https://plotly.com/python/reference/#layout-hovermode) to enable multiple tooltips. ```python import plotly.graph_objects as go @@ -136,7 +136,7 @@ fig.show() ### Define Node Position -The following example sets [node.x](https://plot.ly/python/reference/#sankey-node-x) and `node.y` to place nodes in the specified locations, except in the `snap arrangement` (default behaviour when `node.x` and `node.y` are not defined) to avoid overlapping of the nodes, therefore, an automatic snapping of elements will be set to define the padding between nodes via [nodepad](https://plot.ly/python/reference/#sankey-node-pad). The other possible arrangements are: 1) perpendicular 2) freeform 3) fixed +The following example sets [node.x](https://plotly.com/python/reference/#sankey-node-x) and `node.y` to place nodes in the specified locations, except in the `snap arrangement` (default behaviour when `node.x` and `node.y` are not defined) to avoid overlapping of the nodes, therefore, an automatic snapping of elements will be set to define the padding between nodes via [nodepad](https://plotly.com/python/reference/#sankey-node-pad). The other possible arrangements are: 1) perpendicular 2) freeform 3) fixed ```python import plotly.graph_objects as go @@ -158,4 +158,4 @@ fig.show() ### Reference -See [https://plot.ly/python/reference/#sankey](https://plot.ly/python/reference/#sankey) for more information and options! +See [https://plotly.com/python/reference/#sankey](https://plotly.com/python/reference/#sankey) for more information and options! diff --git a/doc/python/scatter-plots-on-maps.md b/doc/python/scatter-plots-on-maps.md index debe6c4771b..6fa0a7bde1c 100644 --- a/doc/python/scatter-plots-on-maps.md +++ b/doc/python/scatter-plots-on-maps.md @@ -215,4 +215,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scattergeo and https://plot.ly/python/reference/#layout-geo for more information and chart attribute options! +See https://plotly.com/python/reference/#scattergeo and https://plotly.com/python/reference/#layout-geo for more information and chart attribute options! diff --git a/doc/python/scattermapbox.md b/doc/python/scattermapbox.md index 40290fe992a..e6eff5d373c 100644 --- a/doc/python/scattermapbox.md +++ b/doc/python/scattermapbox.md @@ -196,7 +196,7 @@ fig.show() ### Set Marker Symbols -You can define a symbol on your map by setting [symbol](https://plot.ly/python/reference/#scattermapbox-marker-symbol) attribute. This attribute only works on Mapbox-provided `style`s: +You can define a symbol on your map by setting [symbol](https://plotly.com/python/reference/#scattermapbox-marker-symbol) attribute. This attribute only works on Mapbox-provided `style`s: - basic - streets @@ -228,4 +228,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#scattermapbox for more information and options! +See https://plotly.com/python/reference/#scattermapbox for more information and options! diff --git a/doc/python/setting-graph-size.md b/doc/python/setting-graph-size.md index 3c12d1911a2..823bcc106f8 100644 --- a/doc/python/setting-graph-size.md +++ b/doc/python/setting-graph-size.md @@ -80,7 +80,7 @@ fig.show() ### Automatically Adjust Margins -Set [automargin](https://plot.ly/python/reference/#layout-xaxis-automargin) to `True` and Plotly will automatically increase the margin size to prevent ticklabels from being cut off or overlapping with axis titles. +Set [automargin](https://plotly.com/python/reference/#layout-xaxis-automargin) to `True` and Plotly will automatically increase the margin size to prevent ticklabels from being cut off or overlapping with axis titles. ```python import plotly.graph_objects as go @@ -113,4 +113,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#layout for more information and chart attribute options! +See https://plotly.com/python/reference/#layout for more information and chart attribute options! diff --git a/doc/python/shapes.md b/doc/python/shapes.md index 67aed5fe285..2b5301b4865 100644 --- a/doc/python/shapes.md +++ b/doc/python/shapes.md @@ -35,7 +35,7 @@ jupyter: ### Filled Area Chart -There are two ways to draw filled shapes: scatter traces and [layout.shapes](https://plot.ly/python/reference/#layout-shapes-items-shape-type) which is mostly useful for the 2d subplots, and defines the shape type to be drawn, and can be rectangle, circle, line, or path (a custom SVG path). You also can use [scatterpolar](https://plot.ly/python/polar-chart/#categorical-polar-chart), scattergeo, [scattermapbox](https://plot.ly/python/filled-area-on-mapbox/#filled-scattermapbox-trace) to draw filled shapes on any kind of subplots. To set an area to be filled with a solid color, you need to define [Scatter.fill="toself"](https://plot.ly/python/reference/#scatter-fill) that connects the endpoints of the trace into a closed shape. If `mode=line` (default value), then you need to repeat the initial point of a shape at the of the sequence to have a closed shape. +There are two ways to draw filled shapes: scatter traces and [layout.shapes](https://plotly.com/python/reference/#layout-shapes-items-shape-type) which is mostly useful for the 2d subplots, and defines the shape type to be drawn, and can be rectangle, circle, line, or path (a custom SVG path). You also can use [scatterpolar](https://plotly.com/python/polar-chart/#categorical-polar-chart), scattergeo, [scattermapbox](https://plotly.com/python/filled-area-on-mapbox/#filled-scattermapbox-trace) to draw filled shapes on any kind of subplots. To set an area to be filled with a solid color, you need to define [Scatter.fill="toself"](https://plotly.com/python/reference/#scatter-fill) that connects the endpoints of the trace into a closed shape. If `mode=line` (default value), then you need to repeat the initial point of a shape at the of the sequence to have a closed shape. ```python import plotly.graph_objects as go @@ -44,7 +44,7 @@ fig = go.Figure(go.Scatter(x=[0,1,2,0], y=[0,2,0,0], fill="toself")) fig.show() ``` -You can have more shapes either by adding [more traces](https://plot.ly/python/filled-area-plots/) or interrupting the series with `None`. +You can have more shapes either by adding [more traces](https://plotly.com/python/filled-area-plots/) or interrupting the series with `None`. ```python import plotly.graph_objects as go @@ -717,4 +717,4 @@ fig.show() ``` ### Reference -See https://plot.ly/python/reference/#layout-shapes for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-shapes for more information and chart attribute options! diff --git a/doc/python/sliders.md b/doc/python/sliders.md index e6eabb70b2b..814b9e162f0 100644 --- a/doc/python/sliders.md +++ b/doc/python/sliders.md @@ -81,4 +81,4 @@ fig.show() ``` #### Reference -Check out https://plot.ly/python/reference/#layout-updatemenus for more information! +Check out https://plotly.com/python/reference/#layout-updatemenus for more information! diff --git a/doc/python/smoothing.md b/doc/python/smoothing.md index 246b08a475b..a182a025795 100644 --- a/doc/python/smoothing.md +++ b/doc/python/smoothing.md @@ -36,7 +36,7 @@ jupyter: #### Imports -The tutorial below imports [NumPy](http://www.numpy.org/), [Pandas](https://plot.ly/pandas/intro-to-pandas-tutorial/), [SciPy](https://www.scipy.org/) and [Plotly](https://plot.ly/python/getting-started/). +The tutorial below imports [NumPy](http://www.numpy.org/), [Pandas](https://plotly.com/pandas/intro-to-pandas-tutorial/), [SciPy](https://www.scipy.org/) and [Plotly](https://plotly.com/python/getting-started/). ```python import plotly.graph_objects as go diff --git a/doc/python/splom.md b/doc/python/splom.md index e46d8147d3e..0a35089ac33 100644 --- a/doc/python/splom.md +++ b/doc/python/splom.md @@ -82,7 +82,7 @@ fig.show() ### Scatter matrix (splom) with go.Splom -If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Splom` function. All its parameters are documented in the reference page https://plot.ly/python/reference/#splom. +If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Splom` function. All its parameters are documented in the reference page https://plotly.com/python/reference/#splom. The Plotly splom trace implementation for the scatterplot matrix does not require to set $x=Xi$ , and $y=Xj$, for each scatter plot. All arrays, $X_1,X_2,…,X_n$ , are passed once, through a list of dicts called dimensions, i.e. each array/variable represents a dimension. diff --git a/doc/python/streamtube-plot.md b/doc/python/streamtube-plot.md index e4a0903b93b..14672ae9f28 100644 --- a/doc/python/streamtube-plot.md +++ b/doc/python/streamtube-plot.md @@ -131,5 +131,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#streamtube for more information and chart attribute options! +See https://plotly.com/python/reference/#streamtube for more information and chart attribute options! diff --git a/doc/python/subplots.md b/doc/python/subplots.md index 50cf161d45e..4860ef314f7 100644 --- a/doc/python/subplots.md +++ b/doc/python/subplots.md @@ -298,7 +298,7 @@ fig.show() ### Subplots with Shared Colorscale -To share colorscale information in multiple subplots, you can use [coloraxis](https://plot.ly/javascript/reference/#scatter-marker-line-coloraxis). +To share colorscale information in multiple subplots, you can use [coloraxis](https://plotly.com/javascript/reference/#scatter-marker-line-coloraxis). ```python from plotly.subplots import make_subplots @@ -572,8 +572,8 @@ fig.show() ``` #### Reference -All of the x-axis properties are found here: https://plot.ly/python/reference/#XAxis -All of the y-axis properties are found here: https://plot.ly/python/reference/#YAxis +All of the x-axis properties are found here: https://plotly.com/python/reference/#XAxis +All of the y-axis properties are found here: https://plotly.com/python/reference/#YAxis ```python from plotly.subplots import make_subplots diff --git a/doc/python/sunburst-charts.md b/doc/python/sunburst-charts.md index 387680cc788..2a423523d7e 100644 --- a/doc/python/sunburst-charts.md +++ b/doc/python/sunburst-charts.md @@ -155,7 +155,7 @@ fig =go.Figure(go.Sunburst( values=[10, 14, 12, 10, 2, 6, 6, 4, 4], )) # Update layout for tight margin -# See https://plot.ly/python/creating-and-updating-figures/ +# See https://plotly.com/python/creating-and-updating-figures/ fig.update_layout(margin = dict(t=0, l=0, r=0, b=0)) fig.show() @@ -214,7 +214,7 @@ fig.show() ### Large Number of Slices -This example uses a [plotly grid attribute](https://plot.ly/python/reference/#layout-grid) for the suplots. Reference the row and column destination using the [domain](https://plot.ly/python/reference/#sunburst-domain) attribute. +This example uses a [plotly grid attribute](https://plotly.com/python/reference/#layout-grid) for the suplots. Reference the row and column destination using the [domain](https://plotly.com/python/reference/#sunburst-domain) attribute. ```python import plotly.graph_objects as go @@ -380,4 +380,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#sunburst for more information and chart attribute options! +See https://plotly.com/python/reference/#sunburst for more information and chart attribute options! diff --git a/doc/python/table-subplots.md b/doc/python/table-subplots.md index 316fe5c3446..c75ad0c5b13 100644 --- a/doc/python/table-subplots.md +++ b/doc/python/table-subplots.md @@ -103,5 +103,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#table for more information regarding chart attributes!
    -For examples of Plotly Tables, see: https://plot.ly/python/table/ +See https://plotly.com/python/reference/#table for more information regarding chart attributes!
    +For examples of Plotly Tables, see: https://plotly.com/python/table/ diff --git a/doc/python/table.md b/doc/python/table.md index 2996a581d3f..174ce5b2567 100644 --- a/doc/python/table.md +++ b/doc/python/table.md @@ -26,7 +26,7 @@ jupyter: `go.Table` provides a Table object for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for header, columns, rows or individual cells. Table is using a column-major order, ie. the grid is represented as a vector of column vectors. -Note that [Dash](https://dash.plot.ly/) provides a different type of [DataTable](https://dash.plot.ly/datatable). +Note that [Dash](https://dash.plotly.com/) provides a different type of [DataTable](https://dash.plotly.com/datatable). #### Basic Table @@ -211,4 +211,4 @@ fig.show() ``` #### Reference -For more information on tables and table attributes see: https://plot.ly/python/reference/#table. +For more information on tables and table attributes see: https://plotly.com/python/reference/#table. diff --git a/doc/python/ternary-plots.md b/doc/python/ternary-plots.md index 690babd3b19..efd01136dce 100644 --- a/doc/python/ternary-plots.md +++ b/doc/python/ternary-plots.md @@ -126,4 +126,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#scatterternary for more information and chart attribute options! +See https://plotly.com/python/reference/#scatterternary for more information and chart attribute options! diff --git a/doc/python/text-and-annotations.md b/doc/python/text-and-annotations.md index 832849ce84d..4e9d4d9a65e 100644 --- a/doc/python/text-and-annotations.md +++ b/doc/python/text-and-annotations.md @@ -536,9 +536,9 @@ fig.show() ### Customize Displayed Text with a Text Template -To show an arbitrary text in your chart you can use [texttemplate](https://plot.ly/python/reference/#pie-texttemplate), which is a template string used for rendering the information, and will override [textinfo](https://plot.ly/python/reference/#treemap-textinfo). +To show an arbitrary text in your chart you can use [texttemplate](https://plotly.com/python/reference/#pie-texttemplate), which is a template string used for rendering the information, and will override [textinfo](https://plotly.com/python/reference/#treemap-textinfo). This template string can include `variables` in %{variable} format, `numbers` in [d3-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_forma), and `date` in [d3-time-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Time-Formatting.md#format). -`texttemplate` customizes the text that appears on your plot vs. [hovertemplate](https://plot.ly/python/reference/#pie-hovertemplate) that customizes the tooltip text. +`texttemplate` customizes the text that appears on your plot vs. [hovertemplate](https://plotly.com/python/reference/#pie-hovertemplate) that customizes the tooltip text. ```python import plotly.graph_objects as go @@ -554,7 +554,7 @@ fig.show() ### Customize Text Template -The following example uses [textfont](https://plot.ly/python/reference/#scatterternary-textfont) to customize the added text. +The following example uses [textfont](https://plotly.com/python/reference/#scatterternary-textfont) to customize the added text. ```python import plotly.graph_objects as go @@ -575,8 +575,8 @@ fig.show() ### Set Date in Text Template -The following example shows how to show date by setting [axis.type](https://plot.ly/python/reference/#layout-yaxis-type) in [funnel charts](https://plot.ly/python/funnel-charts/). -As you can see [textinfo](https://plot.ly/python/reference/#funnel-textinfo) and [texttemplate](https://plot.ly/python/reference/#funnel-texttemplate) have the same functionality when you want to determine 'just' the trace information on the graph. +The following example shows how to show date by setting [axis.type](https://plotly.com/python/reference/#layout-yaxis-type) in [funnel charts](https://plotly.com/python/funnel-charts/). +As you can see [textinfo](https://plotly.com/python/reference/#funnel-textinfo) and [texttemplate](https://plotly.com/python/reference/#funnel-texttemplate) have the same functionality when you want to determine 'just' the trace information on the graph. ```python from plotly import graph_objects as go @@ -606,4 +606,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#layout-annotations for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-annotations for more information and chart attribute options! diff --git a/doc/python/tick-formatting.md b/doc/python/tick-formatting.md index bd9d0221c5d..8321f3290d1 100644 --- a/doc/python/tick-formatting.md +++ b/doc/python/tick-formatting.md @@ -194,5 +194,5 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout-xaxis for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-xaxis for more information and chart attribute options! diff --git a/doc/python/time-series.md b/doc/python/time-series.md index eb2c163b2ad..feb2b71a91b 100644 --- a/doc/python/time-series.md +++ b/doc/python/time-series.md @@ -35,7 +35,7 @@ jupyter: ### Time Series Plot with `datetime` Objects ### -Time series can be represented using either `plotly.express` functions (`px.line`, `px.scatter`) or `plotly.graph_objects` charts objects (`go.Scatter`). For more examples of such charts, see the documentation of [line and scatter plots](https://plot.ly/python/line-and-scatter/). +Time series can be represented using either `plotly.express` functions (`px.line`, `px.scatter`) or `plotly.graph_objects` charts objects (`go.Scatter`). For more examples of such charts, see the documentation of [line and scatter plots](https://plotly.com/python/line-and-scatter/). Plotly auto-sets the axis type to a date format when the corresponding data are either ISO-formatted date strings or if they're a [date pandas column](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html) or [datetime NumPy array](https://docs.scipy.org/doc/numpy/reference/arrays.datetime.html). @@ -128,4 +128,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#layout-xaxis-rangeslider and
    https://plot.ly/python/reference/#layout-xaxis-rangeselector for more information and chart attribute options! +See https://plotly.com/python/reference/#layout-xaxis-rangeslider and
    https://plotly.com/python/reference/#layout-xaxis-rangeselector for more information and chart attribute options! diff --git a/doc/python/tree-plots.md b/doc/python/tree-plots.md index 26fe30e8ebd..7f834e31d04 100644 --- a/doc/python/tree-plots.md +++ b/doc/python/tree-plots.md @@ -137,4 +137,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/ for more information and chart attribute options and http://igraph.org/python/ for more information about the igraph package! +See https://plotly.com/python/reference/ for more information and chart attribute options and http://igraph.org/python/ for more information about the igraph package! diff --git a/doc/python/treemaps.md b/doc/python/treemaps.md index af02fc9dc65..2d73b895bbb 100644 --- a/doc/python/treemaps.md +++ b/doc/python/treemaps.md @@ -33,7 +33,7 @@ jupyter: thumbnail: thumbnail/treemap.png --- -[Treemap charts](https://en.wikipedia.org/wiki/Treemapping) visualize hierarchical data using nested rectangles. Same as [Sunburst](https://plot.ly/python/sunburst-charts/) the hierarchy is defined by [labels](https://plot.ly/python/reference/#treemap-labels) (`names` for `px.treemap`) and [parents](https://plot.ly/python/reference/#treemap-parents) attributes. Click on one sector to zoom in/out, which also displays a pathbar in the upper-left corner of your treemap. To zoom out you can use the path bar as well. +[Treemap charts](https://en.wikipedia.org/wiki/Treemapping) visualize hierarchical data using nested rectangles. Same as [Sunburst](https://plotly.com/python/sunburst-charts/) the hierarchy is defined by [labels](https://plotly.com/python/reference/#treemap-labels) (`names` for `px.treemap`) and [parents](https://plotly.com/python/reference/#treemap-parents) attributes. Click on one sector to zoom in/out, which also displays a pathbar in the upper-left corner of your treemap. To zoom out you can use the path bar as well. ### Basic Treemap with plotly.express @@ -154,10 +154,10 @@ fig.show() This example uses the following attributes: -1. [values](https://plot.ly/python/reference/#treemap-values): sets the values associated with each of the sectors. -2. [textinfo](https://plot.ly/python/reference/#treemap-textinfo): determines which trace information appear on the graph that can be 'text', 'value', 'current path', 'percent root', 'percent entry', and 'percent parent', or any combination of them. -3. [pathbar](https://plot.ly/python/reference/#treemap-pathbar): a main extra feature of treemap to display the current path of the visible portion of the hierarchical map. It may also be useful for zooming out of the graph. -4. [branchvalues](https://plot.ly/python/reference/#treemap-branchvalues): determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. In the example below Eva = 65, which is equal to 14 + 12 + 10 + 2 + 6 + 6 + 1 + 4. +1. [values](https://plotly.com/python/reference/#treemap-values): sets the values associated with each of the sectors. +2. [textinfo](https://plotly.com/python/reference/#treemap-textinfo): determines which trace information appear on the graph that can be 'text', 'value', 'current path', 'percent root', 'percent entry', and 'percent parent', or any combination of them. +3. [pathbar](https://plotly.com/python/reference/#treemap-pathbar): a main extra feature of treemap to display the current path of the visible portion of the hierarchical map. It may also be useful for zooming out of the graph. +4. [branchvalues](https://plotly.com/python/reference/#treemap-branchvalues): determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. In the example below Eva = 65, which is equal to 14 + 12 + 10 + 2 + 6 + 6 + 1 + 4. When set to "remainder", items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves. ```python @@ -200,7 +200,7 @@ fig.show() There are three different ways to change the color of the sectors in Treemap: -1. [marker.colors](https://plot.ly/python/reference/#treemap-marker-colors), 2) [colorway](https://plot.ly/python/reference/#treemap-colorway), 3) [colorscale](https://plot.ly/python/reference/#treemap-colorscale). The following examples show how to use each of them. +1. [marker.colors](https://plotly.com/python/reference/#treemap-marker-colors), 2) [colorway](https://plotly.com/python/reference/#treemap-colorway), 3) [colorscale](https://plotly.com/python/reference/#treemap-colorscale). The following examples show how to use each of them. ```python import plotly.graph_objects as go @@ -332,7 +332,7 @@ fig.show() ### Nested Layers in Treemap -The following example uses hierarchical data that includes layers and grouping. Treemap and [Sunburst](https://plot.ly/python/sunburst-charts/) charts reveal insights into the data, and the format of your hierarchical data. [maxdepth](https://plot.ly/python/reference/#treemap-maxdepth) attribute sets the number of rendered sectors from the given level. +The following example uses hierarchical data that includes layers and grouping. Treemap and [Sunburst](https://plotly.com/python/sunburst-charts/) charts reveal insights into the data, and the format of your hierarchical data. [maxdepth](https://plotly.com/python/reference/#treemap-maxdepth) attribute sets the number of rendered sectors from the given level. ```python import plotly.graph_objects as go @@ -391,4 +391,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#treemap for more information and chart attribute options! +See https://plotly.com/python/reference/#treemap for more information and chart attribute options! diff --git a/doc/python/troubleshooting.md b/doc/python/troubleshooting.md index 7598a60c357..5435312a7c5 100644 --- a/doc/python/troubleshooting.md +++ b/doc/python/troubleshooting.md @@ -37,7 +37,7 @@ jupyter: ### Version Problems -In order to follow the examples in this documentation, you should have the latest version of `plotly` installed (4.x), as detailed in the [Getting Started](/python/getting-started) guide. This documentation (under https://plot.ly/python) is incompatible with `plotly` version 3.x, for which the documentation is available under https://plot.ly/python/v3. +In order to follow the examples in this documentation, you should have the latest version of `plotly` installed (4.x), as detailed in the [Getting Started](/python/getting-started) guide. This documentation (under https://plotly.com/python) is incompatible with `plotly` version 3.x, for which the documentation is available under https://plotly.com/python/v3. ### Import Problems diff --git a/doc/python/v4-migration.md b/doc/python/v4-migration.md index 052671fac73..9a3ad776557 100644 --- a/doc/python/v4-migration.md +++ b/doc/python/v4-migration.md @@ -39,7 +39,7 @@ Upgrading to version 4 of `plotly` is a matter of following the instructions in ### Getting Help -If you encounter issues in upgrading from version 3 to version 4, please reach out in our [Community Forum](https://community.plot.ly/c/api/python) or if you've found an issue or regression in version 4, please report a [Github Issue](https://github.com/plotly/plotly.py/issues/new) +If you encounter issues in upgrading from version 3 to version 4, please reach out in our [Community Forum](https://community.plotly.com/c/api/python) or if you've found an issue or regression in version 4, please report a [Github Issue](https://github.com/plotly/plotly.py/issues/new) ### Online features (`plotly.plotly`) moved to `chart-studio` package diff --git a/doc/python/violin.md b/doc/python/violin.md index 3427f852fa8..7f6be074e98 100644 --- a/doc/python/violin.md +++ b/doc/python/violin.md @@ -36,9 +36,9 @@ jupyter: ## Violin Plot with Plotly Express -A [violin plot](https://en.wikipedia.org/wiki/Violin_plot) is a statistical representation of numerical data. It is similar to a [box plot](https://plot.ly/python/box-plots/), with the addition of a rotated [kernel density](https://en.wikipedia.org/wiki/Kernel_density_estimation) plot on each side. +A [violin plot](https://en.wikipedia.org/wiki/Violin_plot) is a statistical representation of numerical data. It is similar to a [box plot](https://plotly.com/python/box-plots/), with the addition of a rotated [kernel density](https://en.wikipedia.org/wiki/Kernel_density_estimation) plot on each side. -See also the [list of other statistical charts](https://plot.ly/python/statistical-charts/). +See also the [list of other statistical charts](https://plotly.com/python/statistical-charts/). ### Basic Violin Plot with Plotly Express @@ -88,7 +88,7 @@ fig.show() ## Violin Plot with go.Violin -If Plotly Express does not provide a good starting point, you can use the more generic function `go.Violin` from `plotly.graph_objects`. All the options of `go.Violin` are documented in the reference https://plot.ly/python/reference/#violin +If Plotly Express does not provide a good starting point, you can use the more generic function `go.Violin` from `plotly.graph_objects`. All the options of `go.Violin` are documented in the reference https://plotly.com/python/reference/#violin #### Basic Violin Plot @@ -260,4 +260,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#violin for more information and chart attribute options! +See https://plotly.com/python/reference/#violin for more information and chart attribute options! diff --git a/doc/python/visualizing-mri-volume-slices.md b/doc/python/visualizing-mri-volume-slices.md index 846fc3e93ff..63bf99e0627 100644 --- a/doc/python/visualizing-mri-volume-slices.md +++ b/doc/python/visualizing-mri-volume-slices.md @@ -140,5 +140,5 @@ Here's where you can find her: #### Reference -For additional information and help setting up a slider in an animation, see https://plot.ly/python/gapminder-example/. For more documentation on creating animations with Plotly, see https://plot.ly/python/#animations. +For additional information and help setting up a slider in an animation, see https://plotly.com/python/gapminder-example/. For more documentation on creating animations with Plotly, see https://plotly.com/python/#animations. diff --git a/doc/python/waterfall-charts.md b/doc/python/waterfall-charts.md index 70236cfe1e7..cee1f3dcef8 100644 --- a/doc/python/waterfall-charts.md +++ b/doc/python/waterfall-charts.md @@ -57,7 +57,7 @@ fig.show() ``` ### Multi Category Waterfall Chart -This example uses the [waterfallgroupgap attribute](https://plot.ly/python/reference/#layout-waterfallgroupgap), which sets a gap between bars. +This example uses the [waterfallgroupgap attribute](https://plotly.com/python/reference/#layout-waterfallgroupgap), which sets a gap between bars. ```python import plotly.graph_objects as go @@ -88,7 +88,7 @@ fig.show() ``` ### Setting Marker Size and Color -This example uses [decreasing, increasing, and total](https://plot.ly/python/reference/#waterfall-increasing) attributes to customize the bars. +This example uses [decreasing, increasing, and total](https://plotly.com/python/reference/#waterfall-increasing) attributes to customize the bars. ```python import plotly.graph_objects as go @@ -129,4 +129,4 @@ fig.show() ``` #### Reference -See https://plot.ly/python/reference/#waterfall for more information and chart attribute options! +See https://plotly.com/python/reference/#waterfall for more information and chart attribute options! diff --git a/doc/python/webgl-vs-svg.md b/doc/python/webgl-vs-svg.md index ff11ace247f..9885259874a 100644 --- a/doc/python/webgl-vs-svg.md +++ b/doc/python/webgl-vs-svg.md @@ -38,7 +38,7 @@ For larger datasets, or for a clearer visualization of the density of points, it is also possible to use [datashader](/python/datashader/). #### Compare WebGL and SVG -Checkout [this notebook](https://plot.ly/python/compare-webgl-svg) to compare WebGL and SVG scatter plots with 75,000 random data points +Checkout [this notebook](https://plotly.com/python/compare-webgl-svg) to compare WebGL and SVG scatter plots with 75,000 random data points #### WebGL with Plotly Express @@ -149,4 +149,4 @@ fig.show() ### Reference -See https://plot.ly/python/reference/#scattergl for more information and chart attribute options! +See https://plotly.com/python/reference/#scattergl for more information and chart attribute options! diff --git a/doc/python/wind-rose-charts.md b/doc/python/wind-rose-charts.md index f2596fa4120..1ed4fda77b3 100644 --- a/doc/python/wind-rose-charts.md +++ b/doc/python/wind-rose-charts.md @@ -92,4 +92,4 @@ fig.show() #### Reference -See https://plot.ly/python/reference/#barpolar for more information and chart attribute options! +See https://plotly.com/python/reference/#barpolar for more information and chart attribute options! From d35b61b1c66a97c89f1f3c0fc002bb9bd69e65ef Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 09:17:43 +0100 Subject: [PATCH 61/79] try to fix tests by changing plotly urls --- .../tests/test_optional/test_matplotlylib/test_plot_mpl.py | 6 +++--- packages/python/chart-studio/chart_studio/utils.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/tests/test_optional/test_matplotlylib/test_plot_mpl.py b/packages/python/chart-studio/chart_studio/tests/test_optional/test_matplotlylib/test_plot_mpl.py index a4b2bf52a5a..8ca36145216 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_optional/test_matplotlylib/test_plot_mpl.py +++ b/packages/python/chart-studio/chart_studio/tests/test_optional/test_matplotlylib/test_plot_mpl.py @@ -23,7 +23,7 @@ @pytest.mark.matplotlib class PlotMPLTest(TestCase): def setUp(self): - py.sign_in("PlotlyImageTest", "786r5mecv0", plotly_domain="https://plot.ly") + py.sign_in("PlotlyImageTest", "786r5mecv0", plotly_domain="https://plotly.com") def test_update_type_error(self): fig, ax = plt.subplots() @@ -45,7 +45,7 @@ def test_update(self): title = "new title" update = {"layout": {"title": title}} url = py.plot_mpl(fig, update=update, filename="nosetests", auto_open=False) - un = url.replace("https://plot.ly/~", "").split("/")[0] - fid = url.replace("https://plot.ly/~", "").split("/")[1] + un = url.replace("https://plotly.com/~", "").split("/")[0] + fid = url.replace("https://plotly.com/~", "").split("/")[1] pfig = py.get_figure(un, fid) assert pfig["layout"]["title"]["text"] == title diff --git a/packages/python/chart-studio/chart_studio/utils.py b/packages/python/chart-studio/chart_studio/utils.py index f2fc92c1c15..62c747b1cb2 100644 --- a/packages/python/chart-studio/chart_studio/utils.py +++ b/packages/python/chart-studio/chart_studio/utils.py @@ -34,8 +34,8 @@ "with 'https':\n\n\n" "import plotly\n" "plotly.tools.set_config_file(\n" - " plotly_domain='https://plot.ly',\n" - " plotly_api_domain='https://api.plot.ly'\n" + " plotly_domain='https://plotly.com',\n" + " plotly_api_domain='https://api.plotly.com'\n" ")\n\n\n" "If you are using On-Premise then you will need to use your company's " "domain and api_domain urls:\n\n\n" @@ -46,7 +46,7 @@ ")\n\n\n" "Make sure to replace `your-company.com` with the URL of your Plotly " "On-Premise server.\nSee " - "https://plot.ly/python/getting-started/#special-instructions-for-plotly-onpremise-users " + "https://plotly.com/python/getting-started/#special-instructions-for-plotly-onpremise-users " "for more help with getting started with On-Premise." ) From 0a2458f311cbe34289ce08bd2c5ee545e037b492 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 09:34:54 +0100 Subject: [PATCH 62/79] still debugging --- packages/python/chart-studio/chart_studio/files.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/files.py b/packages/python/chart-studio/chart_studio/files.py index ca04978d080..453c18b6f8c 100644 --- a/packages/python/chart-studio/chart_studio/files.py +++ b/packages/python/chart-studio/chart_studio/files.py @@ -18,9 +18,9 @@ "stream_ids": [], }, CONFIG_FILE: { - "plotly_domain": "https://plot.ly", - "plotly_streaming_domain": "stream.plot.ly", - "plotly_api_domain": "https://api.plot.ly", + "plotly_domain": "https://plotly.com", + "plotly_streaming_domain": "stream.plotly.com", + "plotly_api_domain": "https://api.plotly.com", "plotly_ssl_verification": True, "plotly_proxy_authorization": False, "world_readable": True, From 5d01da6cc024c0ef68def191c0fb87e8f28cb7e3 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 09:44:57 +0100 Subject: [PATCH 63/79] debug --- .../tests/test_core/test_tools/test_file_tools.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_file_tools.py b/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_file_tools.py index 81b66f6e9b8..db994d931c3 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_file_tools.py +++ b/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_file_tools.py @@ -80,8 +80,8 @@ def test_reset_config_file(self): tools.reset_config_file() config = tools.get_config_file() - self.assertEqual(config["plotly_domain"], "https://plot.ly") - self.assertEqual(config["plotly_streaming_domain"], "stream.plot.ly") + self.assertEqual(config["plotly_domain"], "https://plotly.com") + self.assertEqual(config["plotly_streaming_domain"], "stream.plotly.com") def test_get_credentials_file(self): From faebf31b2243226db95c918735ea9b5ea129ca9c Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 10:56:22 +0100 Subject: [PATCH 64/79] sed transfo --- .../python/chart-studio/chart_studio/exceptions.py | 4 ++-- packages/python/chart-studio/chart_studio/tools.py | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/exceptions.py b/packages/python/chart-studio/chart_studio/exceptions.py index b63a7057258..675edff9103 100644 --- a/packages/python/chart-studio/chart_studio/exceptions.py +++ b/packages/python/chart-studio/chart_studio/exceptions.py @@ -37,7 +37,7 @@ def __str__(self): "column to Plotly before you can assign it to '{reference}'.\n" "To upload, try `plotly.plotly.grid_objs.upload` or " "`plotly.plotly.grid_objs.append_column`.\n" - "Questions? chris@plot.ly" + "Questions? chris@plotly.com" ) NON_UNIQUE_COLUMN_MESSAGE = ( @@ -65,7 +65,7 @@ def __init__(self): ">>> import plotly.tools as tls\n" ">>> tls.set_credentials_file(username='username', " "api_key='api-key')\n\n" - "For more help, see https://plot.ly/python.\n" + "For more help, see https://plotly.com/python.\n" ) super(PlotlyLocalCredentialsError, self).__init__(message) diff --git a/packages/python/chart-studio/chart_studio/tools.py b/packages/python/chart-studio/chart_studio/tools.py index 87b23546b33..c27dcb71252 100644 --- a/packages/python/chart-studio/chart_studio/tools.py +++ b/packages/python/chart-studio/chart_studio/tools.py @@ -73,7 +73,7 @@ def ensure_local_plotly_files(): "local configuration files. No problem though! You'll " "just have to sign-in using 'plotly.plotly.sign_in()'. " "For help with that: 'help(plotly.plotly.sign_in)'." - "\nQuestions? Visit https://support.plot.ly" + "\nQuestions? Visit https://support.plotly.com" ) @@ -155,9 +155,9 @@ def set_config_file( ): """Set the keyword-value pairs in `~/.plotly/.config`. - :param (str) plotly_domain: ex - https://plot.ly - :param (str) plotly_streaming_domain: ex - stream.plot.ly - :param (str) plotly_api_domain: ex - https://api.plot.ly + :param (str) plotly_domain: ex - https://plotly.com + :param (str) plotly_streaming_domain: ex - stream.plotly.com + :param (str) plotly_api_domain: ex - https://api.plotly.com :param (bool) plotly_ssl_verification: True = verify, False = don't verify :param (bool) plotly_proxy_authorization: True = use plotly proxy auth creds :param (bool) world_readable: True = public, False = private @@ -386,7 +386,7 @@ def embed(file_owner_or_url, file_id=None, width="100%", height=525): get_config_defaults()["plotly_domain"] != session.get_session_config()["plotly_domain"] ): - feedback_contact = "Visit support.plot.ly" + feedback_contact = "Visit support.plotly.com" else: # different domain likely means enterprise From 5d2803f5cfed7a6a51e1f458d6201385ec012b62 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 11:21:17 +0100 Subject: [PATCH 65/79] more changes --- .../tests/test_core/test_tools/test_get_embed.py | 8 ++++---- .../tests/test_plot_ly/test_get_figure/test_get_figure.py | 2 +- .../test_plot_ly/test_get_requests/test_get_requests.py | 2 +- .../tests/test_plot_ly/test_grid/test_grid.py | 2 +- .../tests/test_plot_ly/test_meta/test_meta.py | 2 +- .../test_spectacle_presentation.py | 2 +- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_get_embed.py b/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_get_embed.py index 77709176e50..6aedf87bb62 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_get_embed.py +++ b/packages/python/chart-studio/chart_studio/tests/test_core/test_tools/test_get_embed.py @@ -9,12 +9,12 @@ def test_get_valid_embed(): - url = "https://plot.ly/~PlotBot/82/" + url = "https://plotly.com/~PlotBot/82/" tls.get_embed(url) def test_get_invalid_embed(): - url = "https://plot.ly/~PlotBot/a/" + url = "https://plotly.com/~PlotBot/a/" with pytest.raises(PlotlyError): tls.get_embed(url) @@ -25,7 +25,7 @@ def test_get_embed_url_with_share_key(self): # Check the embed url for url with share_key included get_embed_return = tls.get_embed( - "https://plot.ly/~neda/6572" + "?share_key=AH4MyPlyDyDWYA2cM2kj2m" + "https://plotly.com/~neda/6572" + "?share_key=AH4MyPlyDyDWYA2cM2kj2m" ) expected_get_embed = ( '" ).format( - plotly_rest_url="https://" + "plot.ly", + plotly_rest_url="https://" + "plotly.com", file_owner="neda", file_id="6572", share_key="AH4MyPlyDyDWYA2" + "cM2kj2m", diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py index b0c4ca68ba2..86154d9a520 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py @@ -47,7 +47,7 @@ def test_get_figure(self): def test_get_figure_with_url(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/13183/" + url = "https://plotly.com/~PlotlyImageTest/13183/" py.sign_in(un, ak) py.get_figure(url) diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_requests/test_get_requests.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_requests/test_get_requests.py index 1f7c96369f3..7dee479f560 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_requests/test_get_requests.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_requests/test_get_requests.py @@ -20,7 +20,7 @@ "plotly-platform": "pythonz", } -server = "https://plot.ly" +server = "https://plotly.com" class GetRequestsTest(PlotlyTestCase): diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_grid/test_grid.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_grid/test_grid.py index ac542e70fb7..1bf6f06ec78 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_grid/test_grid.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_grid/test_grid.py @@ -34,7 +34,7 @@ class GridTest(PlotlyTestCase): _grid_id = "chris:3043" _grid = Grid([]) _grid.id = _grid_id - _grid_url = "https://plot.ly/~chris/3043/my-grid" + _grid_url = "https://plotly.com/~chris/3043/my-grid" def setUp(self): super(GridTest, self).setUp() diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_meta/test_meta.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_meta/test_meta.py index 2af3ff9df3c..777598c3060 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_meta/test_meta.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_meta/test_meta.py @@ -54,6 +54,6 @@ def test_upload_meta_with_grid(self): + "https://github.com/plotly/python-api/issues/263" ) def test_metadata_to_nonexistent_grid(self): - non_exist_meta_url = "https://local.plot.ly/~GridTest/999999999" + non_exist_meta_url = "https://local.plotly.com/~GridTest/999999999" with self.assertRaises(PlotlyRequestError): py.meta_ops.upload(self._meta, grid_url=non_exist_meta_url) diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py index 087e7c81662..a241bfea35d 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py @@ -61,7 +61,7 @@ def test_invalid_code_language(self): ) def test_expected_pres(self): - markdown_string = "# title\n---\ntransition: zoom, fade, fade\n# Colors\nColors are everywhere around us.\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nImage(https://raw.githubusercontent.com/jackparmer/gradient-backgrounds/master/moods1.png)\n```python\nx=1\n```\n---\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\nPlotly(https://plot.ly/~AdamKulidjian/3564/)\n---\n" + markdown_string = "# title\n---\ntransition: zoom, fade, fade\n# Colors\nColors are everywhere around us.\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nImage(https://raw.githubusercontent.com/jackparmer/gradient-backgrounds/master/moods1.png)\n```python\nx=1\n```\n---\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\nPlotly(https://plotly.com/~AdamKulidjian/3564/)\n---\n" my_pres = pres.Presentation(markdown_string, style="moods", imgStretch=True) From fc442221f37b5a46c5e18c91e61c008fd6c11df1 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Thu, 26 Mar 2020 12:02:45 +0100 Subject: [PATCH 66/79] Patch 7 (#2297) * Update custom-buttons.md Set the 'updatemenu method' link directly to the method instead of the page header. * Update custom-buttons.md Bolded phrases and additional explanation in the "methods" section. --- doc/python/custom-buttons.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/python/custom-buttons.md b/doc/python/custom-buttons.md index 33c76ec9218..09594b8a454 100644 --- a/doc/python/custom-buttons.md +++ b/doc/python/custom-buttons.md @@ -34,10 +34,10 @@ jupyter: --- #### Methods -The [updatemenu method](https://plot.ly/python/reference/#layout-updatemenus-buttons-method) determines which [plotly.js function](https://plot.ly/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: -- `"restyle"`: modify data or data attributes -- `"relayout"`: modify layout attributes -- `"update"`: modify data **and** layout attributes +The [updatemenu method](https://plot.ly/python/reference/#layout-updatemenus-items-updatemenu-buttons-items-button-method) determines which [plotly.js function](https://plot.ly/javascript/plotlyjs-function-reference/) will be used to modify the chart. There are 4 possible methods: +- `"restyle"`: modify **data** or data attributes +- `"relayout"`: modify **layout** attributes +- `"update"`: modify **data and layout** attributes; combination of `"restyle"` and `"relayout"` - `"animate"`: start or pause an [animation](https://plot.ly/python/#animations)) From 302f7d8860ffa602e6f28cc000e683d609fb0c88 Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 12:22:13 +0100 Subject: [PATCH 67/79] up --- .../chart_studio/plotly/plotly.py | 28 +++++++++---------- .../presentation_objs/presentation_objs.py | 2 +- .../test_get_figure/test_get_figure.py | 10 +++---- .../test_spectacle_presentation.py | 16 +++++------ 4 files changed, 28 insertions(+), 28 deletions(-) diff --git a/packages/python/chart-studio/chart_studio/plotly/plotly.py b/packages/python/chart-studio/chart_studio/plotly/plotly.py index 2df1bb5ad0a..07e8d2e1f0d 100644 --- a/packages/python/chart-studio/chart_studio/plotly/plotly.py +++ b/packages/python/chart-studio/chart_studio/plotly/plotly.py @@ -448,7 +448,7 @@ def get_figure(file_owner_or_url, file_id=None, raw=False): pass a valid plotly url as the first argument. Examples: - fig = get_figure('https://plot.ly/~chris/1638') + fig = get_figure('https://plotly.com/~chris/1638') fig = get_figure('chris', 1638) Note, if you're using a file_owner string as the first argument, you MUST @@ -574,7 +574,7 @@ class Stream: Every viewer of the graph sees the same data at the same time. View examples and tutorials here: - https://plot.ly/python/streaming/ + https://plotly.com/python/streaming/ Stream example: # Initialize a streaming graph @@ -602,7 +602,7 @@ def __init__(self, stream_id): For more help, see: `help(plotly.plotly.Stream)` or see examples and tutorials here: - https://plot.ly/python/streaming/ + https://plotly.com/python/streaming/ """ self.stream_id = stream_id @@ -664,7 +664,7 @@ def open(self): For more help, see: `help(plotly.plotly.Stream)` or see examples and tutorials here: - https://plot.ly/python/streaming/ + https://plotly.com/python/streaming/ """ streaming_specs = self.get_streaming_specs() @@ -746,7 +746,7 @@ def close(self): For more help, see: `help(plotly.plotly.Stream)` or see examples and tutorials here: - https://plot.ly/python/streaming/ + https://plotly.com/python/streaming/ """ try: @@ -771,7 +771,7 @@ def get(figure_or_data, format="png", width=None, height=None, scale=None): - figure_or_data: The figure dict-like or data list-like object that describes a plotly figure. Same argument used in `py.plot`, `py.iplot`, - see https://plot.ly/python for examples + see https://plotly.com/python for examples - format: 'png', 'svg', 'jpeg', 'pdf', 'emf' - width: output width - height: output height @@ -798,7 +798,7 @@ def get(figure_or_data, format="png", width=None, height=None, scale=None): "package currently only supports png, svg, jpeg, and pdf. " "Learn more about image exporting, and the currently " "supported file types here: " - "https://plot.ly/python/static-image-export/" + "https://plotly.com/python/static-image-export/" ) if scale is not None: try: @@ -839,7 +839,7 @@ def ishow(cls, figure_or_data, format="png", width=None, height=None, scale=None - figure_or_data: The figure dict-like or data list-like object that describes a plotly figure. Same argument used in `py.plot`, `py.iplot`, - see https://plot.ly/python for examples + see https://plotly.com/python for examples - format: 'png', 'svg', 'jpeg', 'pdf' - width: output width - height: output height @@ -883,7 +883,7 @@ def save_as( - figure_or_data: The figure dict-like or data list-like object that describes a plotly figure. Same argument used in `py.plot`, `py.iplot`, - see https://plot.ly/python for examples + see https://plotly.com/python for examples - filename: The filepath to save the image to - format: 'png', 'svg', 'jpeg', 'pdf', 'emf' - width: output width @@ -1135,7 +1135,7 @@ def append_columns(cls, columns, grid=None, grid_url=None): from plotly.grid_objs import Grid, Column import plotly.plotly as py - grid_url = 'https://plot.ly/~chris/3143' + grid_url = 'https://plotly.com/~chris/3143' column_1 = Column([1, 2, 3], 'time') py.grid_ops.append_columns([column_1], grid_url=grid_url) ``` @@ -1204,7 +1204,7 @@ def append_rows(cls, rows, grid=None, grid_url=None): from plotly.grid_objs import Grid import plotly.plotly as py - grid_url = 'https://plot.ly/~chris/3143' + grid_url = 'https://plotly.com/~chris/3143' row = [1, 5] py.grid_ops.append_rows([row], grid=grid_url) @@ -1276,7 +1276,7 @@ def delete(cls, grid=None, grid_url=None): ``` import plotly.plotly as py - grid_url = 'https://plot.ly/~chris/3' + grid_url = 'https://plotly.com/~chris/3' py.grid_ops.delete(grid_url=grid_url) ``` @@ -1334,7 +1334,7 @@ def upload(cls, meta, grid=None, grid_url=None): ``` import plotly.plotly as py - grid_url = 'https://plot.ly/~chris/3143' + grid_url = 'https://plotly.com/~chris/3143' meta = {'experment': 'GaAs'} @@ -1371,7 +1371,7 @@ def parse_grid_id_args(grid, grid_url): "grid: a plotly.graph_objs.Grid object that has already\n" " been uploaded to Plotly.\n\n" "grid_url: the url where the grid can be accessed on\n" - " Plotly, e.g. 'https://plot.ly/~chris/3043'\n\n" + " Plotly, e.g. 'https://plotly.com/~chris/3043'\n\n" ) elif len(supplied_arg_names) > 1: raise exceptions.InputError( diff --git a/packages/python/chart-studio/chart_studio/presentation_objs/presentation_objs.py b/packages/python/chart-studio/chart_studio/presentation_objs/presentation_objs.py index eee6616e088..d96599110f2 100644 --- a/packages/python/chart-studio/chart_studio/presentation_objs/presentation_objs.py +++ b/packages/python/chart-studio/chart_studio/presentation_objs/presentation_objs.py @@ -939,7 +939,7 @@ class Presentation(dict): Default = True. For examples see the documentation:\n - https://plot.ly/python/presentations-api/ + https://plotly.com/python/presentations-api/ """ def __init__(self, markdown_string=None, style="moods", imgStretch=True): diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py index 86154d9a520..429315c1d91 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_get_figure/test_get_figure.py @@ -54,7 +54,7 @@ def test_get_figure_with_url(self): def test_get_figure_invalid_1(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/a/" + url = "https://plotly.com/~PlotlyImageTest/a/" py.sign_in(un, ak) with self.assertRaises(exceptions.PlotlyError): py.get_figure(url) @@ -62,7 +62,7 @@ def test_get_figure_invalid_1(self): def test_get_figure_invalid_2(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/-1/" + url = "https://plotly.com/~PlotlyImageTest/-1/" py.sign_in(un, ak) with self.assertRaises(exceptions.PlotlyError): py.get_figure(url) @@ -71,7 +71,7 @@ def test_get_figure_invalid_2(self): def test_get_figure_invalid_3(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/2/" + url = "https://plotly.com/~PlotlyImageTest/2/" py.sign_in(un, ak) with self.assertRaises(ValueError): py.get_figure(url) @@ -79,7 +79,7 @@ def test_get_figure_invalid_3(self): def test_get_figure_does_not_exist(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/1000000000/" + url = "https://plotly.com/~PlotlyImageTest/1000000000/" py.sign_in(un, ak) with self.assertRaises(_plotly_utils.exceptions.PlotlyError): py.get_figure(url) @@ -97,6 +97,6 @@ class TestBytesVStrings(PlotlyTestCase): def test_proper_escaping(self): un = "PlotlyImageTest" ak = "786r5mecv0" - url = "https://plot.ly/~PlotlyImageTest/13185/" + url = "https://plotly.com/~PlotlyImageTest/13185/" py.sign_in(un, ak) py.get_figure(url) diff --git a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py index a241bfea35d..9cf5af55f2d 100644 --- a/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py +++ b/packages/python/chart-studio/chart_studio/tests/test_plot_ly/test_spectacle_presentation/test_spectacle_presentation.py @@ -255,7 +255,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 280.0, "left": 0.0, @@ -322,7 +322,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -339,7 +339,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -356,7 +356,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -373,7 +373,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -390,7 +390,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -407,7 +407,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, @@ -424,7 +424,7 @@ def test_expected_pres(self): "props": { "frameBorder": 0, "scrolling": "no", - "src": "https://plot.ly/~AdamKulidjian/3564/.embed?link=false", + "src": "https://plotly.com/~AdamKulidjian/3564/.embed?link=false", "style": { "height": 96.57142857142857, "left": 400.0, From def8d815979f8ce53160dc67dc7028ff43e7e50f Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Thu, 26 Mar 2020 14:26:04 +0100 Subject: [PATCH 68/79] Update contributing notes (#2290) * update * updated contributing notes * code pr in template * pinning orca * add doc requirement --- .github/pull_request_template.md | 15 +- README.md | 14 +- contributing.md | 468 +++++++------------------------ release.md | 364 ++++++++++++++++++++++++ 4 files changed, 485 insertions(+), 376 deletions(-) create mode 100644 release.md diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index f9fe15214d1..842cffab482 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -1,5 +1,10 @@ diff --git a/README.md b/README.md index 2f3f38f953b..15cccbc38a9 100644 --- a/README.md +++ b/README.md @@ -8,6 +8,14 @@ + + User forum + + + + + + PyPI Downloads @@ -45,7 +53,7 @@ Read about what's new in [plotly.py v4](https://medium.com/plotly/plotly-py-4-0- ## Overview -[plotly.py](https://plot.ly/d3-js-for-python-and-pandas-charts/) is an interactive, open-source, and browser-based graphing library for Python :sparkles: +[plotly.py](https://plot.ly/python) is an interactive, open-source, and browser-based graphing library for Python :sparkles: Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. @@ -61,12 +69,12 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is --- - [Online Documentation](https://plot.ly/python) -- [Contributing](contributing.md) +- [Contributing to plotly](contributing.md) - [Changelog](CHANGELOG.md) - [Code of Conduct](CODE_OF_CONDUCT.md) - [Version 4 Migration Guide](https://plot.ly/python/next/v4-migration/) - [New! Announcing Dash 1.0](https://medium.com/plotly/welcoming-dash-1-0-0-f3af4b84bae) -- [Community](https://community.plot.ly/c/api/python) +- [Community forum](https://community.plot.ly/c/api/python) --- diff --git a/contributing.md b/contributing.md index 5af030b6ce8..38839255c68 100644 --- a/contributing.md +++ b/contributing.md @@ -1,23 +1,105 @@ # Contributing -Thank you for contributing to plotly.py! +Thank you for contributing to plotly.py! We are actively looking for +diverse contributors, with diverse background and skills. + +This guide start by a general description of the different ways to contribute +to plotly.py, then we explain some technical aspects of preparing your +contribution. ## Code of Conduct -Check out the [Code of Conduct](CODE_OF_CONDUCT.md). Don't tl:dr; it, but the general idea is to be nice. +Please check out the [Code of Conduct](CODE_OF_CONDUCT.md). Don't tl:dr; it, +but the general idea is to be nice. + +## What are the different ways to contribute? + +There are many ways to contribute to plotly.py. It helps to understand first +the structure of the code and of the repository. + +- the `codegen` (package in `packages/python/plotly/codegen`): all the code + inside `plotly.graph_objects` is generated from the plotly javascript API + (the "schema"). The `codegen` package is where the code generation is done. + Most of the codegen code concerns the generation of docstrings. Traces and + Layout classes have a direct correspondence with their Javascript + counterpart. Additional methods are defined for the `Figure` object, such as + `update_layout`, `add_trace`, etc. + +- the `plotly.express` package (usually imported as `px`) is a high-level + functional API. Its code is in `packages/python/plotly/express`. Most + functions of `plotly.express` call the internal `_make_figure` function + in `_core.py`. More generally, the internals of `px` consist of general + functions taking care of building the figure (defining subplots, traces + or frames, for example), with special cases for different traces handled + within these functions. There is also subsequent code reuse for `px` + docstrings, in particular for documenting parameters. + +- the `plotly.figure_factory` module provides Python "recipes" for building + advanced visualizations, such as Gantt charts, annotated heatmaps, etc. + Figure factories are one of the easiest entry points into plotly.py, since + they consist of Python-only code, with standalone, well-separated functions. + However, please note that some of the figure factories become less relevant + as we are introducing more features into `plotly.express`. Some issues in the + tracker are labeled "figure_factory" and can be good issues to work on. More + instructions on figure factories are found + [here](packages/python/plotly/plotly/figure_factory/README.md). + +- other pure-Python submodules are: `plotly.io` (low-level interface for + displaying, reading and writing figures), `plotly.subplots` (helper function + for layout of multi-plot figures) + +- tests are found in `packages/python/plotly/plotly/tests`. Different + directories correspond to different test jobs (with different dependency sets) + run in continuous integration. These jobs are configured in + `packages/python/plotly/tox.ini`, which itself is used in the Circle CI + configuration file `.circleci/config.yml`. More is explained about tests + in the following "Technical aspects" section. + +- the **documentation** is part of this repository. Its structure and some + explanations are described [here](doc/README.md). The documentation, in + particular example-based tutorials, is a great place to start contributing. + The contribution process is also more lightweight, since you can modify + tutorial notebooks without setting up an environment, etc. + We maintain a wishlist of examples to add on + https://github.com/plotly/plotly.py/issues/1965. If you have writing skills, + the wording of existing examples can also be improved in places. + +Contributing code or documentation are not the only way to contribute! You can +also contribute to the project by + +- reporting bugs (see below). + +- submitting feature requests (maybe we'll convince you to contribute it as a + pull request!). + +- helping other users on the [community forum](https://community.plot.ly/). + Join the list of [nice people](https://community.plot.ly/u) helping other + plotly users :-). + +We also recommend reading the great +[how to contribute to open source](https://opensource.guide/how-to-contribute/) +guide. ## Have a Bug Report? -Open an issue! Go to https://github.com/plotly/plotly.py/issues. It's possible that your issue was already addressed. If it wasn't, open it. We also accept PRs; take a look at the steps below for instructions on how to do this. +Open an issue! Go to https://github.com/plotly/plotly.py/issues. It's possible that your issue was already addressed. If it wasn't, open it. We also accept pull requests; take a look at the steps below for instructions on how to do this. ## Have Questions about Plotly? -Check out our Support App: https://support.plot.ly/libraries/python or Community Forum: https://community.plot.ly/. +Check out our Community Forum: https://community.plot.ly/. ## Want to improve the plotly documentation? Thank you! Instructions on how to contribute to the documentation are given [here](doc/contributing.md). Please also read the next section if you need to setup a development environment. +## How to contribute - Technical Aspects + +Below we explain the technical aspects of contributing. It is not strictly necessary to follow all points (for example, you will not write tests when writing documentation, most of the time), but we want to make sure that you know how to deal with most cases. + +Note that if you are modifying a single documentation page, you can do it +directly on Github by clicking on the "Edit this page on GitHub" link, without +cloning the repository. + ## Setup a Development Environment ### Fork, Clone, Setup Your Version of the Plotly Python API @@ -31,6 +113,9 @@ git clone https://github.com/your_github_username/plotly.py.git cd plotly.py ``` +Note: if you're just getting started with git, there exist great resources to +learn and become confident about git, like http://try.github.io/. + ### Create a virtual environment for plotly development You can use either [conda][conda-env] or [virtualenv][virtualenv] to create a virtual environment for plotly development, e.g. @@ -54,6 +139,10 @@ conda activate plotly-dev $ pip install -e packages/python/chart-studio/ $ pip install -e packages/python/plotly-geo/ +This will ensure that the installed packages links to your local development +directory, meaning that all changes you make reflect directly in your +environment (don't forget to restart the Jupyter kernel though!). + ### ipywidgets development install Run the following commands in your virtual environment to use the @@ -68,6 +157,7 @@ To make plotly plots show up in JupyterLab, you also need to [install the plotly [plotly-jl]: https://plot.ly/python/getting-started/#jupyterlab-support-python-35 ### Configure black code formatting + This repo uses the [Black](https://black.readthedocs.io/en/stable/) code formatter, and the [pre-commit](https://pre-commit.com/) library to manage a git commit hook to run Black prior to each commit. Both pre-commit and black are included in the @@ -106,7 +196,8 @@ git checkout -b my-dev-branch ### Pull Request When Ready -Once you've made your changes (and hopefully written some tests...), make that pull request! +Once you've made your changes (and hopefully written some tests, see below for more about testing...), +make that pull request! ## Update to a new version of Plotly.js @@ -212,370 +303,3 @@ You're *strongly* encouraged to write tests that check your added functionality. When you write a new test anywhere under the `tests` directory, if your PR gets accepted, that test will run in a virtual machine to ensure that future changes don't break your contributions! Test accounts include: `PythonTest`, `PlotlyImageTest`, and `PlotlyStageTest`. - -## Release process - plotly package - -This is the release process for releasing `plotly.py` version `X.Y.Z` with -`plotlywidget`/`jupyterlab-plotly` version `A.B.C`. - -Note: The `plotlywidget` instructions must be followed if any change -has been made in the `packages/javascript` directory source code, OR if the version of -plotly.js has been updated. If neither of these is the case, there's no need -to increment the `plotlywidget` version or to publish a new version to npm. - -### Create a release branch -After all of the functionality for the release has been merged into master, -create a branch named `release_X.Y.Z`. This branch will become the -final version - -### Finalize changelog -Review the contents of `packages/python/plotly/CHANGELOG.md`. We try to follow -the [keepachangelog](https://keepachangelog.com/en/1.0.0/) guidelines. -Make sure the changelog includes the version being published at the top, along -with the expected publication date. - -Use the `Added`, `Changed`, `Deprecated`, `Removed`, `Fixed`, and `Security` -labels for all changes to plotly.py. If the version of plotly.js has -been updated, include this as the first `Updated` entry. Call out any -noteable changes as sub-bullets (new trace types in particular), and provide -a link to the plotly.js CHANGELOG. - -As the first entry in the changelog, include a `JupyterLab Versions` section. -Here, document the versions of `plotlywidget`, -`@jupyter-widgets/jupyterlab-manager`, `jupyterlab`, and -`@jupyterlab/plotly-extension` that are known to be compatible with this -version of `plotly.py`. - -Note: Use the official (not release candidate) versions in the CHANGELOG. - -### Update README.md installation instructions - -Update the installation instructions in the README to the new versions of all -of the dependencies. Use the release candidate versions, this way we can point -people to the README of the `release_X.Y.Z` as the instructions for trying out -the release candidate. - -Note that the conda installation instructions must include -"-c plotly/lable/test" rather than "-c plotly" in order to install the -release candidate version. - -Update the `doc/python/getting-started.md` file with the same version numbers. - -Commit Changelog, README and getting-started updates. - -### Bump to release candidate version - 1) Manually update the plotlywidget version to `A.B.C-rc.1` in the files -specified below. - - - `packages/python/plotly/plotly/_widget_version.py`: - + Update `__frontend_version__` to `^A.B.C-rc.1` (Note the `^` prefix) - - `packages/javascript/plotlywidget/package.json` - + Update `"version"` to `A.B.C-rc.1` - + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` - + Run `rm -rf node_modules && npm install && npm run build` - - `packages/javascript/jupyterlab-plotly/package.json` - + Update `"version"` to `A.B.C-rc.1` - + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` - + Run `rm -rf node_modules && npm install && npm run build` - - 2) Commit the changes - - 3) Tag this commit on the release branch as `vX.Y.Zrc1` and `widget-vA.B.C-rc.1` - -In both cases `rc` is the semantic versioning code for Release Candidate. - -The number 1 means that this is the first release candidate, this number can -be incremented if we need to publish multiple release candidates. -Note that the `npm` suffix is `-rc.1` and the PyPI suffix is `rc1`. - -Publishing `plotly.py` and `plotlywidget` as release candidates -allows us to go through the publication process, and test that the -installed packages work properly before general users will get them by -default. It also gives us the opportunity to ask specific users to test -that their bug reports are in fact resolved before we pull the trigger -on the official release. - -### Publish release candidate to PyPI -To upload to PyPI you'll also need to have `twine` installed: -```bash -(plotly_dev) $ pip install twine -``` - -And, you'll need the credentials file `~/.pypirc`. Request access from -@jonmmease and @chriddyp. Then, from inside the repository: - -```bash -(plotly_dev) $ cd packages/python/plotly -(plotly_dev) $ git checkout release_X.Y.Z -(plotly_dev) $ git stash -(plotly_dev) $ rm -rf dist -(plotly_dev) $ python setup.py sdist bdist_wheel -(plotly_dev) $ rm dist/*dirty* -(plotly_dev) $ twine upload dist/plotly-X.Y.Zrc1* -``` - -Note: this will intentionally fail if your current git tree is dirty, because we want the tag -to reflect what is being released, and the version number comes from the tag and the dirty-state. - - -### Publish release candidate of `plotlywidget` and `jupyterlab-plotly` to NPM -Now, publish the release candidate of the `plotlywidget` NPM package. - -```bash -cd ./packages/javascript/plotlywidget -npm run build && npm publish --access public --tag next -``` - -The `--tag next` part ensures that users won't install this version unless -they explicitly ask for the version or for the version wtih the `next` tag. - -Do the same in the `jupyterlab-plotly` directory. - -### Publish release candidate to plotly anaconda channel -To publish package to the plotly anaconda channel you'll need to have the -anaconda or miniconda distribution installed, and you'll need to have the -`anaconda-client` package installed. - -```bash -(plotly_dev) $ conda config --set anaconda_upload no -(plotly_dev) $ conda build recipe/ -``` - -Next run `anaconda login` and enter the credentials for the plotly anaconda -channel. - -Then upload artifacts to the anaconda channel using the test label. Using the test -label will ensure that people will only download the release candidate version -if they explicitly request it. - -``` -$ anaconda upload --label test /path/to/anaconda3/conda-bld/noarch/plotly-*.tar.bz2 -``` - -Then logout with `anaconda logout` - -### Manually test the release candidate -Create a fresh virtual environment (or conda environment) and install -the release candidate by following the new `README.md` instructions -(the instructions updated above to include the release candidate versions) - -Run through the example notebooks at -https://github.com/jonmmease/plotly_ipywidget_notebooks using the classic -notebook and JupyterLab. Make sure `FigureWidget` objects are displayed as -plotly figures, and make sure the in-place updates and callbacks work. - -If appropriate, ask users who have submitted bug reports or feature -requests that are resolved in this version to try out the release candidate. - -If problems are found in the release candidate, fix them on the release -branch and then publish another release candidate with the candidate number -incremented. - -### Finalize CHANGELOG and README -Update CHANGELOG with release date and update README with final versions. - -In the conda installation instructions, be sure to change the -"-c plotly/label/test" argument to "-c plotly" - -Update the doc/python/getting-started.md file with the same version numbers. - -Commit Changelog, README and getting-started updates. - -### Finalize versions -When no problems are identified in the release candidate, remove the -release candidate suffix from the following version strings: - - - `plotly/_widget_version.py`: - + Update `__frontend_version__` to `^A.B.C` (Note the `^` prefix) - - `packages/javascript/plotlywidget/package.json` - + Update `"version"` to `A.B.C` - + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` - + Run `rm -rf node_modules && npm install && npm run build` - - `packages/javascript/jupyterlab-plotly/package.json` - + Update `"version"` to `A.B.C` - + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` - + Run `rm -rf node_modules && npm install && npm run build` - - Run `git diff` and ensure that only the files you modified and the build artifacts have changed - - Ensure that the diff in `package-lock.json` seems sane - - Commit and push to the release branch. - -### Merge release into master -Make sure the integration tests are passing on the release branch, then merge -it into master on GitHub. - -Make sure tests also pass on master, then update your local master, -tag this merge commit as `vX.Y.Z` (e.g. `v3.1.1`) and `widget-vA.B.C` - -push the tag. - -```bash -(plotly_dev) $ git checkout master -(plotly_dev) $ git stash -(plotly_dev) $ git pull origin master -(plotly_dev) $ git tag vX.Y.Z -(plotly_dev) $ git push origin vX.Y.Z -(plotly_dev) $ git tag widget-vA.B.C -(plotly_dev) $ git push origin widget-vA.B.C -``` - -### Publishing to PYPI - -Publish the final version to PyPI - -```bash -(plotly_dev) $ cd packages/python/plotly -(plotly_dev) $ rm -rf dist -(plotly_dev) $ python setup.py sdist bdist_wheel -(plotly_dev) $ rm dist/*dirty* -(plotly_dev) $ twine upload dist/plotly-X.Y.Z* -``` - -Note: this will intentionally fail if your current git tree is dirty, because we want the tag -to reflect what is being released, and the version number comes from the tag and the dirty-state. - -After it has uploaded, move to another environment and double+triple check that you are able to upgrade ok: -```bash -$ pip install plotly --upgrade -``` - -And ask one of your friends to do it too. Our tests should catch any issues, but you never know. - -<3 Team Plotly - -### Publish widget library to npm -Finally, publish the final version of the widget library to npm with: - -```bash -cd packages/javascript/jupyterlab-plotly -npm run build && npm publish --access public -cd packages/javascript/plotlywidget -npm run build && npm publish --access public -``` - -### Publishing to the plotly conda channel -Follow the anaconda upload instructions as described for the release candidate -above, except: - - - Do not include the `--label test` argument when uploading - -``` -$ anaconda upload /path/to/anaconda3/conda-bld/noarch/plotly-*.tar.bz2 -``` - -### Add GitHub Release entry -Go to https://github.com/plotly/plotly.py/releases and "Draft a new release" - -Enter the vX.Y.Z tag - -Make "Release title" the same string as the tag. - -Copy changelog section for this version as the "Describe this release" - -### Upgrade doc requirements and API doc - -Files to be updated: -- `doc/apidoc/conf.py` with new version number -- `doc/requirements.txt` -- `binder/requirements.txt` - -### Synchronize master and doc-prod branches - -doc-prod should already have been merged on a regular basis into master, but -start doing it first. Then merge master into doc-prod to deploy the doc related -to features in the release. - -### Post announcement -Post a simple announcement to the Plotly Python forum, with links to the -README installation instructions and to the CHANGELOG. - -## Release process - plotly-geo package -The `plotly-geo` package contains the shape file resources used by plotly.py. -These files are relatively large and change infrequently so it is useful -to release them in a separate package. - -### Update version -Update the version of the `plotly-geo` package in -`packages/python/plotly-geo/setup.py`. - -This version is not intended to match the version of plotly.py. - -### Update CHANGELOG -Add a new entry to the CHANGELOG at `packages/python/plotly-geo/CHANGELOG.md` -and commit the changes. - -### Tag Release -Create a new tag for the release - -```bash -(plotly_dev) $ git checkout master -(plotly_dev) $ git stash -(plotly_dev) $ git pull origin master -(plotly_dev) $ git tag plotly-geo-vX.Y.Z -(plotly_dev) $ git push origin plotly-geo-vX.Y.Z -``` - -### Publishing to PYPI -Publish the final version to PyPI - -```bash -(plotly_dev) $ cd packages/python/plotly-geo -(plotly_dev) $ python setup.py sdist bdist_wheel -(plotly_dev) $ twine upload dist/plotly-geo-X.Y.Z.tar.gz -(plotly_dev) $ twine upload dist/plotly_geo-X.Y.Z-py3-none-any.whl -``` - -### Publish to plotly anaconda channel -From `packages/python/plotly-geo`, build the conda packge -```bash -(plotly_dev) $ conda build recipe/ -``` - -Then upload to the plotly anaconda channel as described above - -## Release process - chart-studio package -The `chart-studio` package contains the utilities for interacting with -Chart Studio (both Cloud or On-Prem). - -### Update version -Update the version of the `chart-studio` package in -`packages/python/chart-studio/setup.py`. - -This version is not intended to match the version of plotly.py. - -### Update CHANGELOG -Add a new entry to the CHANGELOG at `packages/python/chart-studio/CHANGELOG.md` -and commit the changes. - -### Tag Release -Create a new tag for the release - -```bash -(plotly_dev) $ git checkout master -(plotly_dev) $ git stash -(plotly_dev) $ git pull origin master -(plotly_dev) $ git tag chart-studio-vX.Y.Z -(plotly_dev) $ git push origin chart-studio-vX.Y.Z -``` - -### Publishing to PYPI -Publish the final version to PyPI - -```bash -(plotly_dev) $ cd packages/python/chart-studio -(plotly_dev) $ python setup.py sdist bdist_wheel -(plotly_dev) $ twine upload dist/chart-studio-X.Y.Z.tar.gz -(plotly_dev) $ twine upload dist/chart_studio-X.Y.Z-py3-none-any.whl -``` - -### Publish to plotly anaconda channel -From `packages/python/plotly-geo`, build the conda packge -```bash -(plotly_dev) $ conda build recipe/ -``` - -Then upload to the plotly anaconda channel as described above - -## Contributing to the Figure Factories -If you are interested in contributing to the ever-growing Plotly figure factory library in Python, check out the [documentation][ff-home] to learn how. - -[ff-home]: packages/python/plotly/plotly/figure_factory/README.md diff --git a/release.md b/release.md new file mode 100644 index 00000000000..e76d2d7b19f --- /dev/null +++ b/release.md @@ -0,0 +1,364 @@ + +# How to release plotly packages + +## Release process - plotly package + +This is the release process for releasing `plotly.py` version `X.Y.Z` with +`plotlywidget`/`jupyterlab-plotly` version `A.B.C`. + +Note: The `plotlywidget` instructions must be followed if any change +has been made in the `packages/javascript` directory source code, OR if the version of +plotly.js has been updated. If neither of these is the case, there's no need +to increment the `plotlywidget` version or to publish a new version to npm. + +### Create a release branch +After all of the functionality for the release has been merged into master, +create a branch named `release_X.Y.Z`. This branch will become the +final version + +### Finalize changelog +Review the contents of `packages/python/plotly/CHANGELOG.md`. We try to follow +the [keepachangelog](https://keepachangelog.com/en/1.0.0/) guidelines. +Make sure the changelog includes the version being published at the top, along +with the expected publication date. + +Use the `Added`, `Changed`, `Deprecated`, `Removed`, `Fixed`, and `Security` +labels for all changes to plotly.py. If the version of plotly.js has +been updated, include this as the first `Updated` entry. Call out any +noteable changes as sub-bullets (new trace types in particular), and provide +a link to the plotly.js CHANGELOG. + +As the first entry in the changelog, include a `JupyterLab Versions` section. +Here, document the versions of `plotlywidget`, +`@jupyter-widgets/jupyterlab-manager`, `jupyterlab`, and +`@jupyterlab/plotly-extension` that are known to be compatible with this +version of `plotly.py`. + +Note: Use the official (not release candidate) versions in the CHANGELOG. + +### Update README.md installation instructions + +Update the installation instructions in the README to the new versions of all +of the dependencies. Use the release candidate versions, this way we can point +people to the README of the `release_X.Y.Z` as the instructions for trying out +the release candidate. + +Note that the conda installation instructions must include +"-c plotly/lable/test" rather than "-c plotly" in order to install the +release candidate version. + +Update the `doc/python/getting-started.md` file with the same version numbers. + +Commit Changelog, README and getting-started updates. + +### Bump to release candidate version + 1) Manually update the plotlywidget version to `A.B.C-rc.1` in the files +specified below. + + - `packages/python/plotly/plotly/_widget_version.py`: + + Update `__frontend_version__` to `^A.B.C-rc.1` (Note the `^` prefix) + - `packages/javascript/plotlywidget/package.json` + + Update `"version"` to `A.B.C-rc.1` + + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` + + Run `rm -rf node_modules && npm install && npm run build` + - `packages/javascript/jupyterlab-plotly/package.json` + + Update `"version"` to `A.B.C-rc.1` + + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` + + Run `rm -rf node_modules && npm install && npm run build` + + 2) Commit the changes + + 3) Tag this commit on the release branch as `vX.Y.Zrc1` and `widget-vA.B.C-rc.1` + +In both cases `rc` is the semantic versioning code for Release Candidate. + +The number 1 means that this is the first release candidate, this number can +be incremented if we need to publish multiple release candidates. +Note that the `npm` suffix is `-rc.1` and the PyPI suffix is `rc1`. + +Publishing `plotly.py` and `plotlywidget` as release candidates +allows us to go through the publication process, and test that the +installed packages work properly before general users will get them by +default. It also gives us the opportunity to ask specific users to test +that their bug reports are in fact resolved before we pull the trigger +on the official release. + +### Publish release candidate to PyPI +To upload to PyPI you'll also need to have `twine` installed: +```bash +(plotly_dev) $ pip install twine +``` + +And, you'll need the credentials file `~/.pypirc`. Request access from +@jonmmease and @chriddyp. Then, from inside the repository: + +```bash +(plotly_dev) $ cd packages/python/plotly +(plotly_dev) $ git checkout release_X.Y.Z +(plotly_dev) $ git stash +(plotly_dev) $ rm -rf dist +(plotly_dev) $ python setup.py sdist bdist_wheel +(plotly_dev) $ rm dist/*dirty* +(plotly_dev) $ twine upload dist/plotly-X.Y.Zrc1* +``` + +Note: this will intentionally fail if your current git tree is dirty, because we want the tag +to reflect what is being released, and the version number comes from the tag and the dirty-state. + + +### Publish release candidate of `plotlywidget` and `jupyterlab-plotly` to NPM +Now, publish the release candidate of the `plotlywidget` NPM package. + +```bash +cd ./packages/javascript/plotlywidget +npm run build && npm publish --access public --tag next +``` + +The `--tag next` part ensures that users won't install this version unless +they explicitly ask for the version or for the version wtih the `next` tag. + +Do the same in the `jupyterlab-plotly` directory. + +### Publish release candidate to plotly anaconda channel +To publish package to the plotly anaconda channel you'll need to have the +anaconda or miniconda distribution installed, and you'll need to have the +`anaconda-client` package installed. + +```bash +(plotly_dev) $ conda config --set anaconda_upload no +(plotly_dev) $ conda build recipe/ +``` + +Next run `anaconda login` and enter the credentials for the plotly anaconda +channel. + +Then upload artifacts to the anaconda channel using the test label. Using the test +label will ensure that people will only download the release candidate version +if they explicitly request it. + +``` +$ anaconda upload --label test /path/to/anaconda3/conda-bld/noarch/plotly-*.tar.bz2 +``` + +Then logout with `anaconda logout` + +### Manually test the release candidate +Create a fresh virtual environment (or conda environment) and install +the release candidate by following the new `README.md` instructions +(the instructions updated above to include the release candidate versions) + +Run through the example notebooks at +https://github.com/jonmmease/plotly_ipywidget_notebooks using the classic +notebook and JupyterLab. Make sure `FigureWidget` objects are displayed as +plotly figures, and make sure the in-place updates and callbacks work. + +If appropriate, ask users who have submitted bug reports or feature +requests that are resolved in this version to try out the release candidate. + +If problems are found in the release candidate, fix them on the release +branch and then publish another release candidate with the candidate number +incremented. + +### Finalize CHANGELOG and README +Update CHANGELOG with release date and update README with final versions. + +In the conda installation instructions, be sure to change the +"-c plotly/label/test" argument to "-c plotly" + +Update the doc/python/getting-started.md file with the same version numbers. + +Commit Changelog, README and getting-started updates. + +### Finalize versions +When no problems are identified in the release candidate, remove the +release candidate suffix from the following version strings: + + - `plotly/_widget_version.py`: + + Update `__frontend_version__` to `^A.B.C` (Note the `^` prefix) + - `packages/javascript/plotlywidget/package.json` + + Update `"version"` to `A.B.C` + + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` + + Run `rm -rf node_modules && npm install && npm run build` + - `packages/javascript/jupyterlab-plotly/package.json` + + Update `"version"` to `A.B.C` + + Ensure you're using `node` version 8 and `npm` version 6 to minimize diffs to `package-lock.json` + + Run `rm -rf node_modules && npm install && npm run build` + - Run `git diff` and ensure that only the files you modified and the build artifacts have changed + - Ensure that the diff in `package-lock.json` seems sane + - Commit and push to the release branch. + +### Merge release into master +Make sure the integration tests are passing on the release branch, then merge +it into master on GitHub. + +Make sure tests also pass on master, then update your local master, +tag this merge commit as `vX.Y.Z` (e.g. `v3.1.1`) and `widget-vA.B.C` + +push the tag. + +```bash +(plotly_dev) $ git checkout master +(plotly_dev) $ git stash +(plotly_dev) $ git pull origin master +(plotly_dev) $ git tag vX.Y.Z +(plotly_dev) $ git push origin vX.Y.Z +(plotly_dev) $ git tag widget-vA.B.C +(plotly_dev) $ git push origin widget-vA.B.C +``` + +### Publishing to PYPI + +Publish the final version to PyPI + +```bash +(plotly_dev) $ cd packages/python/plotly +(plotly_dev) $ rm -rf dist +(plotly_dev) $ python setup.py sdist bdist_wheel +(plotly_dev) $ rm dist/*dirty* +(plotly_dev) $ twine upload dist/plotly-X.Y.Z* +``` + +Note: this will intentionally fail if your current git tree is dirty, because we want the tag +to reflect what is being released, and the version number comes from the tag and the dirty-state. + +After it has uploaded, move to another environment and double+triple check that you are able to upgrade ok: +```bash +$ pip install plotly --upgrade +``` + +And ask one of your friends to do it too. Our tests should catch any issues, but you never know. + +<3 Team Plotly + +### Publish widget library to npm +Finally, publish the final version of the widget library to npm with: + +```bash +cd packages/javascript/jupyterlab-plotly +npm run build && npm publish --access public +cd packages/javascript/plotlywidget +npm run build && npm publish --access public +``` + +### Publishing to the plotly conda channel +Follow the anaconda upload instructions as described for the release candidate +above, except: + + - Do not include the `--label test` argument when uploading + +``` +$ anaconda upload /path/to/anaconda3/conda-bld/noarch/plotly-*.tar.bz2 +``` + +### Add GitHub Release entry +Go to https://github.com/plotly/plotly.py/releases and "Draft a new release" + +Enter the vX.Y.Z tag + +Make "Release title" the same string as the tag. + +Copy changelog section for this version as the "Describe this release" + +### Upgrade doc requirements and API doc + +Files to be updated: +- `doc/apidoc/conf.py` with new version number +- `doc/requirements.txt` +- `binder/requirements.txt` + +### Synchronize master and doc-prod branches + +doc-prod should already have been merged on a regular basis into master, but +start doing it first. Then merge master into doc-prod to deploy the doc related +to features in the release. + +### Post announcement +Post a simple announcement to the Plotly Python forum, with links to the +README installation instructions and to the CHANGELOG. + +## Release process - plotly-geo package +The `plotly-geo` package contains the shape file resources used by plotly.py. +These files are relatively large and change infrequently so it is useful +to release them in a separate package. + +### Update version +Update the version of the `plotly-geo` package in +`packages/python/plotly-geo/setup.py`. + +This version is not intended to match the version of plotly.py. + +### Update CHANGELOG +Add a new entry to the CHANGELOG at `packages/python/plotly-geo/CHANGELOG.md` +and commit the changes. + +### Tag Release +Create a new tag for the release + +```bash +(plotly_dev) $ git checkout master +(plotly_dev) $ git stash +(plotly_dev) $ git pull origin master +(plotly_dev) $ git tag plotly-geo-vX.Y.Z +(plotly_dev) $ git push origin plotly-geo-vX.Y.Z +``` + +### Publishing to PYPI +Publish the final version to PyPI + +```bash +(plotly_dev) $ cd packages/python/plotly-geo +(plotly_dev) $ python setup.py sdist bdist_wheel +(plotly_dev) $ twine upload dist/plotly-geo-X.Y.Z.tar.gz +(plotly_dev) $ twine upload dist/plotly_geo-X.Y.Z-py3-none-any.whl +``` + +### Publish to plotly anaconda channel +From `packages/python/plotly-geo`, build the conda packge +```bash +(plotly_dev) $ conda build recipe/ +``` + +Then upload to the plotly anaconda channel as described above + +## Release process - chart-studio package +The `chart-studio` package contains the utilities for interacting with +Chart Studio (both Cloud or On-Prem). + +### Update version +Update the version of the `chart-studio` package in +`packages/python/chart-studio/setup.py`. + +This version is not intended to match the version of plotly.py. + +### Update CHANGELOG +Add a new entry to the CHANGELOG at `packages/python/chart-studio/CHANGELOG.md` +and commit the changes. + +### Tag Release +Create a new tag for the release + +```bash +(plotly_dev) $ git checkout master +(plotly_dev) $ git stash +(plotly_dev) $ git pull origin master +(plotly_dev) $ git tag chart-studio-vX.Y.Z +(plotly_dev) $ git push origin chart-studio-vX.Y.Z +``` + +### Publishing to PYPI +Publish the final version to PyPI + +```bash +(plotly_dev) $ cd packages/python/chart-studio +(plotly_dev) $ python setup.py sdist bdist_wheel +(plotly_dev) $ twine upload dist/chart-studio-X.Y.Z.tar.gz +(plotly_dev) $ twine upload dist/chart_studio-X.Y.Z-py3-none-any.whl +``` + +### Publish to plotly anaconda channel +From `packages/python/plotly-geo`, build the conda packge +```bash +(plotly_dev) $ conda build recipe/ +``` + +Then upload to the plotly anaconda channel as described above. From 44f4d6f7f7450c2d2cc38e316cbe60fa3003875f Mon Sep 17 00:00:00 2001 From: Antoine Roy-Gobeil Date: Fri, 20 Mar 2020 13:29:02 -0400 Subject: [PATCH 69/79] bump orca version to 1.3.1 --- .circleci/create_conda_optional_env.sh | 2 +- README.md | 2 +- packages/python/plotly/plotly/io/_orca.py | 5 ++++- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/.circleci/create_conda_optional_env.sh b/.circleci/create_conda_optional_env.sh index 78c79940828..c27cd43db3d 100755 --- a/.circleci/create_conda_optional_env.sh +++ b/.circleci/create_conda_optional_env.sh @@ -19,5 +19,5 @@ if [ ! -d $HOME/miniconda/envs/circle_optional ]; then requests nbformat six retrying psutil pandas decorator pytest mock nose poppler xarray scikit-image ipython jupyter ipykernel ipywidgets # Install orca into environment - $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca=1.2.1 + $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca==1.3.1 fi diff --git a/README.md b/README.md index 15cccbc38a9..d5571505786 100644 --- a/README.md +++ b/README.md @@ -161,7 +161,7 @@ installation of the plotly [orca](https://github.com/plotly/orca) command line u These dependencies can both be installed using conda: ``` -conda install -c plotly plotly-orca==1.2.1 psutil +conda install -c plotly plotly-orca==1.3.1 psutil ``` Or, `psutil` can be installed using pip... diff --git a/packages/python/plotly/plotly/io/_orca.py b/packages/python/plotly/plotly/io/_orca.py index 96f3ec5d6f8..500674b6281 100644 --- a/packages/python/plotly/plotly/io/_orca.py +++ b/packages/python/plotly/plotly/io/_orca.py @@ -1429,7 +1429,10 @@ def ensure_server(): # specified port. DEVNULL = open(os.devnull, "wb") with orca_env(): - orca_state["proc"] = subprocess.Popen(cmd_list, stdout=DEVNULL) + stderr = DEVNULL if "CI" in os.environ else None # fix for CI + orca_state["proc"] = subprocess.Popen( + cmd_list, stdout=DEVNULL, stderr=stderr + ) # Update orca.status so the user has an accurate view # of the state of the orca server From 313ee4d3cd51904cad67ee68bf84c49262db0fec Mon Sep 17 00:00:00 2001 From: Antoine Roy-Gobeil Date: Fri, 20 Mar 2020 15:47:01 -0400 Subject: [PATCH 70/79] update baseline for Orca 1.3.1 --- .../test_orca/images/linux/failed/fig1.eps | 2723 +++-- .../tests/test_orca/images/linux/fig1.eps | 2405 ++-- .../tests/test_orca/images/linux/latexfig.eps | 4696 ++++++-- .../tests/test_orca/images/linux/topofig.eps | 9663 ++++++++++++++--- 4 files changed, 14268 insertions(+), 5219 deletions(-) diff --git a/packages/python/plotly/plotly/tests/test_orca/images/linux/failed/fig1.eps b/packages/python/plotly/plotly/tests/test_orca/images/linux/failed/fig1.eps index 99ff8d27f49..f46e4ec9cce 100644 --- a/packages/python/plotly/plotly/tests/test_orca/images/linux/failed/fig1.eps +++ b/packages/python/plotly/plotly/tests/test_orca/images/linux/failed/fig1.eps @@ -1,10 +1,10 @@ %!PS-Adobe-3.0 EPSF-3.0 %Produced by poppler pdftops version: 0.65.0 (http://poppler.freedesktop.org) -%%Creator: Chromium +%%Creator: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) orca/1.3.0 Chrome/76.0.3809.146 Electron/6.1.7 Safari/537.36 %%LanguageLevel: 2 %%DocumentSuppliedResources: (atend) %%BoundingBox: 0 0 529 379 -%%HiResBoundingBox: 0 0 529 379 +%%HiResBoundingBox: 0 0 528.95996 378.95999 %%DocumentSuppliedResources: (atend) %%EndComments %%BeginProlog @@ -447,13 +447,13 @@ xpdf begin pdfStartPage %%EndPageSetup gsave -[528.96 0 0 378.96 0 0] concat +[528.72 0 0 378.72 0 0] concat /DeviceRGB setcolorspace << /ImageType 1 - /Width 2204 - /Height 1579 - /ImageMatrix [2204 0 0 -1579 0 1579] + /Width 2203 + /Height 1578 + /ImageMatrix [2203 0 0 -1578 0 1578] /BitsPerComponent 8 /Decode [0 1 0 1 0 1] /DataSource currentfile @@ -517,1486 +517,1245 @@ V&F?Q)R6C_nZa#f[2X+r)mR'qn\H2"`>im>*3ma.n^/@3eK&Y_*O4E@n_kNDjW8F+ nhD@E2'[-%,I0HWnj+NV73lnF,dL,inkg\g<@)Zg-*gf&nmNk#AL;G3-F.J8no6$4 FXM3T-aJ.Jnpr2EKd^tu.'eg\nrY@VPppaA.C,Knnt@NgV(-Mb.^H0+o!']#[4?:. /$ci=o"ck4`@Q&O/@*MOo$K$EeLbgp/[F1ao&22VjXtT<0!ajso'n@goe1@]0=(O0 -o)UO$"YanI+2RjsiVFY&&0I)P0qnJ!JbU1p'i>)R4rXo3=+5oBie)h6NrYsgW -5[it>+nINHs$h_W+q!QZAA`#3W32BdG[62hSV^)u;X#!r5#+@AMh2+$4F+5m,! 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+419.414 188.62622 l +414.70505 195.7774 l +413.55283 194.63591 l +416.07156 190.61212 l +419.78833 183.55023 l +424.56522 182.19551 l +429.93686 179.50226 l +435.74582 179.98663 l +h +f +Q +Q +Q showpage %%PageTrailer pdfEndPage From b48b41a89d9b695785a031e4e574de4240a1e45a Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Thu, 26 Mar 2020 20:20:10 -0400 Subject: [PATCH 71/79] Closes #2319 --- contributing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/contributing.md b/contributing.md index 38839255c68..98275b44f34 100644 --- a/contributing.md +++ b/contributing.md @@ -90,7 +90,7 @@ Check out our Community Forum: https://community.plot.ly/. ## Want to improve the plotly documentation? -Thank you! Instructions on how to contribute to the documentation are given [here](doc/contributing.md). Please also read the next section if you need to setup a development environment. +Thank you! Instructions on how to contribute to the documentation are given [here](doc/README.md). Please also read the next section if you need to setup a development environment. ## How to contribute - Technical Aspects From 44f61a8fe59439744fd6baa508545de1b6a85490 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 11:08:09 -0400 Subject: [PATCH 72/79] Port cufflinks --- doc/python/cufflinks.md | 166 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 166 insertions(+) create mode 100644 doc/python/cufflinks.md diff --git a/doc/python/cufflinks.md b/doc/python/cufflinks.md new file mode 100644 index 00000000000..d0c582aba5c --- /dev/null +++ b/doc/python/cufflinks.md @@ -0,0 +1,166 @@ +--- +jupyter: + jupytext: + notebook_metadata_filter: all + text_representation: + extension: .md + format_name: markdown + format_version: "1.2" + jupytext_version: 1.3.1 + kernelspec: + display_name: Python 3 + language: python + name: python3 + language_info: + codemirror_mode: + name: ipython + version: 3 + file_extension: .py + mimetype: text/x-python + name: python + nbconvert_exporter: python + pygments_lexer: ipython3 + version: 3.6.8 + plotly: + description: + Cufflinks is a third-party wrapper library around Plotly, inspired by the Pandas .plot() API. + display_as: file_settings + language: python + layout: base + name: Cufflinks + order: 31 + page_type: example_index + permalink: python/cufflinks/ + thumbnail: thumbnail/plotly-express.png +--- + +### Introduction + +[Cufflinks](https://github.com/santosjorge/cufflinks) is a third-party wrapper library around Plotly, maintained by [Santos Jorge](https://github.com/santosjorge). + +When you import cufflinks, all [Pandas](https://pandas.pydata.org/) data frames and series objects have a new method attached to them called `.iplot()` which has a similar API to Pandas' built-in `.plot()` method. + +By passing the `asFigure=True` argument to `.iplot()`, Cufflinks works similarly to [Plotly Express](/python/plotly-express/), by returning [customizable `go.Figure` objects](/python/styling-plotly-express/) which are compatible with [Dash](https://dash.plot.ly)'s [`dcc.Graph` component](https://dash.plotly.com/dash-core-components/graph). Cufflinks also adds a `.figure()` method which has the same signature as `.iplot()` except that it has `asFigure=True` set as the default. + +This page shows some high-level examples of how to use Cufflinks, and more examples and documentation are available in the [Cufflinks Github repository](https://github.com/santosjorge/cufflinks). + +> Issues and questions regarding Cufflinks should be [raised in the Cufflinks repository](https://github.com/santosjorge/cufflinks/issues/new). + +```python +import cufflinks as cf +import pandas as pd +import numpy as np + +df = pd.DataFrame(np.random.randn(1000, 2), columns=['A', 'B']).cumsum() +fig = df.iplot(asFigure=True, xTitle="The X Axis", yTitle="The Y Axis", title="The Figure Title") +fig.show() +``` + +Cufflinks has a `datagen` module for generating demo data. + +```python +import cufflinks as cf + +df = cf.datagen.lines() +fig = df.iplot(asFigure=True) +fig.show() +df.head() +``` + +### Scatter Plots + +```python +import cufflinks as cf +import pandas as pd +import numpy as np + +df = pd.DataFrame(np.random.randn(1000, 2), columns=['A', 'B']).cumsum() +fig = df.iplot(asFigure=True, x='A', y='B', mode='markers') +fig.show() +``` + +### Bar Charts + +```python +import cufflinks as cf +import pandas as pd +df = pd.DataFrame(np.random.rand(10, 4), columns=['A', 'B', 'C', 'D']) +fig = df.iplot(asFigure=True, kind="bar") +fig.show() +``` + +### Histograms + +```python +import cufflinks as cf +import pandas as pd +df = pd.DataFrame({'a': np.random.randn(1000) + 1, + 'b': np.random.randn(1000), + 'c': np.random.randn(1000) - 1}) + +fig = df.iplot(asFigure=True, kind="histogram") +fig.show() +``` + +### Box Plots + +```python +import cufflinks as cf +import pandas as pd +df = pd.DataFrame({'a': np.random.randn(1000) + 1, + 'b': np.random.randn(1000), + 'c': np.random.randn(1000) - 1}) + +fig = df.iplot(asFigure=True, kind="box") +fig.show() +``` + +### Subplots + +```python +import cufflinks as cf + +df=cf.datagen.lines(4) +fig = df.iplot(asFigure=True, subplots=True, shape=(4,1), shared_xaxes=True, fill=True) +fig.show() +``` + +```python +import cufflinks as cf + +df=cf.datagen.lines(4) +fig = df.iplot(asFigure=True, subplots=True, subplot_titles=True, legend=False) +fig.show() +``` + +### Line and Box Annotations + +```python +import cufflinks as cf + +df=cf.datagen.lines(4) +fig = df.iplot(asFigure=True, hline=[2,4],vline=['2015-02-10']) +fig.show() +``` + +```python +import cufflinks as cf + +df=cf.datagen.lines(4) +fig = df.iplot(asFigure=True, hspan=[(-1,1),(2,5)]) +fig.show() +``` + +```python +import cufflinks as cf + +df=cf.datagen.lines(4) +fig = df.iplot(asFigure=True, + vspan={'x0':'2015-02-15','x1':'2015-03-15', + 'color':'rgba(30,30,30,0.3)','fill':True,'opacity':.4}) +fig.show() +``` + +### More Examples + +More documentation and examples for Cufflinks can be found in its [Github repository](https://github.com/santosjorge/cufflinks). From e7b31d5328e50f3a5a6fff8908437e75ccca6ce4 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 11:13:00 -0400 Subject: [PATCH 73/79] requirements --- binder/requirements.txt | 1 + doc/requirements.txt | 1 + 2 files changed, 2 insertions(+) diff --git a/binder/requirements.txt b/binder/requirements.txt index 46cdd67d0f0..7322ecb9308 100644 --- a/binder/requirements.txt +++ b/binder/requirements.txt @@ -14,3 +14,4 @@ networkx scikit-image datashader pyarrow +cufflinks==0.17.3 diff --git a/doc/requirements.txt b/doc/requirements.txt index 868b71ee72d..0df715ec0a0 100644 --- a/doc/requirements.txt +++ b/doc/requirements.txt @@ -24,3 +24,4 @@ pathlib python-frontmatter datashader pyarrow +cufflinks==0.17.3 From 1995e2d019b7bdd46682882ab5e6c9aaa5db1ca3 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 11:36:07 -0400 Subject: [PATCH 74/79] fix ci check --- doc/python/cufflinks.md | 1 - 1 file changed, 1 deletion(-) diff --git a/doc/python/cufflinks.md b/doc/python/cufflinks.md index d0c582aba5c..f9cd5ca41cc 100644 --- a/doc/python/cufflinks.md +++ b/doc/python/cufflinks.md @@ -29,7 +29,6 @@ jupyter: layout: base name: Cufflinks order: 31 - page_type: example_index permalink: python/cufflinks/ thumbnail: thumbnail/plotly-express.png --- From 031f6cdf8c8c3736e3d23274838cc64c6f7a440d Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 12:14:45 -0400 Subject: [PATCH 75/79] Update doc/python/cufflinks.md Co-Authored-By: Emmanuelle Gouillart --- doc/python/cufflinks.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/python/cufflinks.md b/doc/python/cufflinks.md index f9cd5ca41cc..10d5348cf97 100644 --- a/doc/python/cufflinks.md +++ b/doc/python/cufflinks.md @@ -138,7 +138,7 @@ fig.show() import cufflinks as cf df=cf.datagen.lines(4) -fig = df.iplot(asFigure=True, hline=[2,4],vline=['2015-02-10']) +fig = df.iplot(asFigure=True, hline=[2,4], vline=['2015-02-10']) fig.show() ``` From 67bab5922223a9077f042349c09dec5511737619 Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 12:14:51 -0400 Subject: [PATCH 76/79] Update doc/python/cufflinks.md Co-Authored-By: Emmanuelle Gouillart --- doc/python/cufflinks.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/python/cufflinks.md b/doc/python/cufflinks.md index 10d5348cf97..5683bfcd422 100644 --- a/doc/python/cufflinks.md +++ b/doc/python/cufflinks.md @@ -51,7 +51,8 @@ import pandas as pd import numpy as np df = pd.DataFrame(np.random.randn(1000, 2), columns=['A', 'B']).cumsum() -fig = df.iplot(asFigure=True, xTitle="The X Axis", yTitle="The Y Axis", title="The Figure Title") +fig = df.iplot(asFigure=True, xTitle="The X Axis", + yTitle="The Y Axis", title="The Figure Title") fig.show() ``` From bd9d8492de5152757f9948d6cfeb58df0b94e3f6 Mon Sep 17 00:00:00 2001 From: Sylwia Mielnicka Date: Fri, 27 Mar 2020 17:19:30 +0100 Subject: [PATCH 77/79] Update sankey-diagram.md (#2291) * Update sankey-diagram.md Add colorful links to the Sankey diagram. * Apply suggestions from code review More complex Sankey diagram with colored links - setting the link color in one line, add the comment why 'magenta' is changed to its rgba value. Co-Authored-By: Emmanuelle Gouillart * Change paragraph title to 'More complex Sankey diagram with colored links' Co-authored-by: Emmanuelle Gouillart --- doc/python/sankey-diagram.md | 17 +++++++++++++---- 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/doc/python/sankey-diagram.md b/doc/python/sankey-diagram.md index 83ac4faded0..a0801aa05b2 100644 --- a/doc/python/sankey-diagram.md +++ b/doc/python/sankey-diagram.md @@ -62,15 +62,23 @@ fig.update_layout(title_text="Basic Sankey Diagram", font_size=10) fig.show() ``` -### More complex Sankey diagram +### More complex Sankey diagram with colored links -```python inputHidden=false outputHidden=false +```python import plotly.graph_objects as go import urllib, json url = 'https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json' response = urllib.request.urlopen(url) data = json.loads(response.read()) + +# override gray link colors with 'source' colors +opacity = 0.4 +# change 'magenta' to its 'rgba' value to add opacity +data['data'][0]['node']['color'] = ['rgba(255,0,255, 0.8)' if color == "magenta" else color for color in data['data'][0]['node']['color']] +data['data'][0]['link']['color'] = [data['data'][0]['node']['color'][src].replace("0.8", str(opacity)) + for src in data['data'][0]['link']['source']] + fig = go.Figure(data=[go.Sankey( valueformat = ".0f", valuesuffix = "TWh", @@ -87,8 +95,9 @@ fig = go.Figure(data=[go.Sankey( source = data['data'][0]['link']['source'], target = data['data'][0]['link']['target'], value = data['data'][0]['link']['value'], - label = data['data'][0]['link']['label'] - ))]) + label = data['data'][0]['link']['label'], + color = data['data'][0]['link']['color'] +))]) fig.update_layout(title_text="Energy forecast for 2050
    Source: Department of Energy & Climate Change, Tom Counsell via     Mike Bostock", font_size=10) From a4b600d4ad855160e7793d77ba7213a623f044ad Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Fri, 27 Mar 2020 16:47:01 -0400 Subject: [PATCH 78/79] mapbox name fix --- doc/python/mapbox-layers.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/python/mapbox-layers.md b/doc/python/mapbox-layers.md index fcf56c61367..35a2ebbdb0a 100644 --- a/doc/python/mapbox-layers.md +++ b/doc/python/mapbox-layers.md @@ -56,7 +56,7 @@ Mapbox tile maps are composed of various layers, of three different types: #### Mapbox Access Tokens and When You Need Them -The word "mapbox" in the trace names and `layout.mapbox` refers to the Mapbox.js open-source library, which is integrated into Plotly.py. If your basemap in `layout.mapbox.style` uses data from the Mapbox _service_, then you will need to register for a free account at https://mapbox.com/ and obtain a Mapbox Access token. This token should be provided in `layout.mapbox.access_token` (or, if using Plotly Express, via the `px.set_mapbox_access_token()` configuration function). +The word "mapbox" in the trace names and `layout.mapbox` refers to the Mapbox GL JS open-source library, which is integrated into Plotly.py. If your basemap in `layout.mapbox.style` uses data from the Mapbox _service_, then you will need to register for a free account at https://mapbox.com/ and obtain a Mapbox Access token. This token should be provided in `layout.mapbox.access_token` (or, if using Plotly Express, via the `px.set_mapbox_access_token()` configuration function). > If your `layout.mapbox.style` does not use data from the Mapbox service, you do _not_ need to register for a Mapbox account. From d0b8f9f5492d8c71798dd018e04eba97543f5a9b Mon Sep 17 00:00:00 2001 From: Nicolas Kruchten Date: Mon, 30 Mar 2020 10:17:20 -0400 Subject: [PATCH 79/79] missing pieces from previous commit --- .circleci/create_conda_optional_env.sh | 4 ---- doc/python/heatmaps.md | 6 +----- 2 files changed, 1 insertion(+), 9 deletions(-) diff --git a/.circleci/create_conda_optional_env.sh b/.circleci/create_conda_optional_env.sh index f9c60dd9c2b..c27cd43db3d 100755 --- a/.circleci/create_conda_optional_env.sh +++ b/.circleci/create_conda_optional_env.sh @@ -19,9 +19,5 @@ if [ ! -d $HOME/miniconda/envs/circle_optional ]; then requests nbformat six retrying psutil pandas decorator pytest mock nose poppler xarray scikit-image ipython jupyter ipykernel ipywidgets # Install orca into environment -<<<<<<< HEAD $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca==1.3.1 -======= - $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca==1.2.1 ->>>>>>> doc-prod fi diff --git a/doc/python/heatmaps.md b/doc/python/heatmaps.md index 240f0b389c2..a4d401698fb 100644 --- a/doc/python/heatmaps.md +++ b/doc/python/heatmaps.md @@ -81,11 +81,7 @@ fig.show() ### Heatmap with Categorical Axis Labels -<<<<<<< HEAD -In this example we also show how to ignore [hovertext](https://plot.ly/python/hover-text-and-formatting/) when we have [missing values](https://plot.ly/python/missing_values) in the data by setting the [hoverongaps](https://plot.ly/python/reference/#heatmap-hoverongaps) to False. -======= -In this example we also show how to ignore [hovertext](https://plotly.com/python/hover-text-and-formatting/) when we have [missing values](https://plotly.com/python/missing_values) in the data by setting the [hoverongaps](https://plotly.com/python/reference/#heatmap-hoverongaps) to False. ->>>>>>> doc-prod +In this example we also show how to ignore [hovertext](https://plotly.com/python/hover-text-and-formatting/) when we have [missing values](https://plotly.com/python/missing_values) in the data by setting the [hoverongaps](https://plotly.com/python/reference/#heatmap-hoverongaps) to False. ```python import plotly.graph_objects as go