Merge branch 'master' of https://github.com/plotly/plotly.py into interchange-protocol

Author: anmyachev

.circleci/config.yml

@@ -432,7 +432,7 @@ jobs:
     resource_class: xlarge
     docker:
       # specify the version you desire here
-      # use `-browsers` prefix for selenium tests, e.g. `3.6.1-browsers`
+      # use `-browsers` prefix for selenium tests, for example, `3.6.1-browsers`
       - image: cimg/python:3.7-browsers
 
     steps:

CHANGELOG.md

@@ -2,7 +2,21 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
-## [UNRELEASED]
+## [5.15.0] - 2023-06-08
+
+### Updated
+  - Updated Plotly.js from version 2.20.0 to version 2.24.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2241----2023-06-07) for more information. Notable changes include:
+    - Add pattern to pie, funnelarea, sunburst, icicle and treemap traces [[#6601](https://github.com/plotly/plotly.js/pull/6601), [#6619](https://github.com/plotly/plotly.js/pull/6619), [#6622](https://github.com/plotly/plotly.js/pull/6622), [#6626](https://github.com/plotly/plotly.js/pull/6626), [#6627](https://github.com/plotly/plotly.js/pull/6627), [#6628](https://github.com/plotly/plotly.js/pull/6628), [#6629](https://github.com/plotly/plotly.js/pull/6629)], with thanks to @thierryVergult for the contribution!
+    - Add `texttemplate` to shape.label for parametric shapes i.e. line, rect and circle [[#6527](https://github.com/plotly/plotly.js/pull/6527)],
+   with thanks to the [Volkswagen](https://www.volkswagenag.com) Center of Excellence for Battery Systems for sponsoring development!
+    - Add strict option to custom bundle command [[#6557](https://github.com/plotly/plotly.js/pull/6557)],
+   with thanks to @CallumNZ for the contribution!
+    - Add `legend` references to traces and `legend2`, `legend3`, etc. to layout,
+   also add `visible` to legend i.e. to allow positioning multiple legends on a graph [[#6535](https://github.com/plotly/plotly.js/pull/6535)],
+   this feature was anonymously sponsored: thank you to our sponsor!
+    - Add `legend.xref` and `legend.yref` to enable container-referenced positioning of legends [[#6589](https://github.com/plotly/plotly.js/pull/6589)], with thanks to [Gamma Technologies](https://www.gtisoft.com/) for sponsoring the related development.
+    - Add `colorbar.xref` and `colorbar.yref` to enable container-referenced positioning of colorbars [[#6593](https://github.com/plotly/plotly.js/pull/6593)], with thanks to [Gamma Technologies](https://www.gtisoft.com/) for sponsoring the related development.
+  - `px` methods now accept data-frame-like objects that support a `to_pandas()` method, such as polars, cudf, vaex etc
 
 ### Fixed
   - Fixed another compatibility issue with Pandas 2.0, just affecting `px.*(line_close=True)` [[#4190](https://github.com/plotly/plotly.py/pull/4190)]
@@ -13,6 +27,8 @@ This project adheres to [Semantic Versioning](http://semver.org/).
   - Remove `use_2to3` setuptools arg, which is invalid in the latest Python and setuptools versions [[#4206](https://github.com/plotly/plotly.py/pull/4206)]
   - Fix [#4066](https://github.com/plotly/plotly.py/issues/4066) JupyterLab v4 giving tiny default graph height [[#4227](https://github.com/plotly/plotly.py/pull/4227)]
   - Fixed issue with `colors.n_colors` where generated RGB color values were not being constrained to stay between 0 and 255 [[#4110](https://github.com/plotly/plotly.py/pull/4110)]
+  - Fix streamline figure factory with recent versions of Numpy
+  - Fix issue with shapes and annotations not drawing on correct axis [[#4177](https://github.com/plotly/plotly.py/pull/4177)]
 
 ## [5.14.1] - 2023-04-05
 

README.md

@@ -33,7 +33,7 @@
 
 ## Quickstart
 
-`pip install plotly==5.14.1`
+`pip install plotly==5.15.0`
 
 Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
 
@@ -78,13 +78,13 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
 plotly.py may be installed using pip...
 
 ```
-pip install plotly==5.14.1
+pip install plotly==5.15.0
 ```
 
 or conda.
 
 ```
-conda install -c plotly plotly=5.14.1
+conda install -c plotly plotly=5.15.0
 ```
 
 ### JupyterLab Support
@@ -106,7 +106,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install jupyterlab-plotly@5.14.1 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install jupyterlab-plotly@5.15.0 @jupyter-widgets/jupyterlab-manager
 ```
 
 Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.

binder/requirements.txt

@@ -1,5 +1,5 @@
 jupytext
-plotly==5.14.1
+plotly==5.15.0
 jupyter
 notebook
 pandas==1.0.3

doc/apidoc/conf.py

@@ -28,7 +28,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "5.14.1"
+release = "5.15.0"
 
 
 # -- General configuration ---------------------------------------------------

doc/python/colorscales.md

@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.10.9
+    version: 3.10.11
   plotly:
     description: How to set, create and control continuous color scales and color
       bars in scatter, bar, map and heatmap figures.
@@ -632,6 +632,36 @@ fig = go.Figure(go.Heatmap(
 fig.show()
 ```
 
+### Positioning Colorbars
+
+Colorbars can be positioned by specifying x and y coordinates. By default, the x and y values are "paper" coordinates, which refer to the plot area. You can also use coordinates based on the "container" by setting `xref="container"` or `yref="container"`. The following example uses a container reference for the x position.
+
+See the positioning section of [the figure data structure page](/python/figure-structure/#positioning-with-paper-container-coordinates-or-axis-domain-coordinates) for more details on "paper" vs "container" coordinates.
+
+```python
+import plotly.graph_objects as go
+
+import urllib
+import json
+
+# Load heatmap data
+response = urllib.request.urlopen(
+    "https://raw.githubusercontent.com/plotly/datasets/master/custom_heatmap_colorscale.json")
+dataset = json.load(response)
+
+# Create and show figure
+fig = go.Figure(go.Heatmap(
+    z=dataset["z"],
+    colorbar=dict(
+        x=0.2,
+        xref="container",
+        title="Surface Heat"
+    )
+))
+
+fig.show()
+```
+
 ### Reference
 
 See https://plotly.com/python/reference/ for more information and chart attribute options!

doc/python/funnel-charts.md

@@ -5,10 +5,10 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: '1.2'
-      jupytext_version: 1.3.0
+      format_version: '1.3'
+      jupytext_version: 1.14.6
   kernelspec:
-    display_name: Python 3
+    display_name: Python 3 (ipykernel)
     language: python
     name: python3
   plotly:
@@ -200,6 +200,28 @@ fig.update_layout(
 fig.show()
 ```
 
+### Pattern Fills
+
+*New in 5.15*
+
+Funnel area charts support [patterns](/python/pattern-hatching-texture/) (also known as hatching or texture) in addition to color. In this example, we add a pattern to the second stage of the funnel.
+
+```python
+from plotly import graph_objects as go
+
+colors = ["gold", "gold", "lightgreen", "lavender"]
+
+fig = go.Figure(
+    go.Funnelarea(
+        labels=["Interview 1", "Interview 2", "Test", "Final Stage"],
+        values=[100, 70, 40, 20],
+        textfont_size=20,
+        marker=dict(colors=colors, pattern=dict(shape=["", "/", "", ""])),
+    )
+)
+fig.show()
+```
+
 #### Reference
 
 See [function reference for `px.(funnel)`](https://plotly.com/python-api-reference/generated/plotly.express.funnel) or https://plotly.com/python/reference/funnel/ and https://plotly.com/python/reference/funnelarea/ for more information and chart attribute options!

doc/python/getting-started.md

@@ -58,13 +58,13 @@ We also encourage you to join the [Plotly Community Forum](http://community.plot
 `plotly` may be installed using `pip`:
 
 ```
-$ pip install plotly==5.14.1
+$ pip install plotly==5.15.0
 ```
 
 or `conda`:
 
 ```
-$ conda install -c plotly plotly=5.14.1
+$ conda install -c plotly plotly=5.15.0
 ```
 This package contains everything you need to write figures to standalone HTML files.
 
@@ -152,7 +152,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install jupyterlab-plotly@5.14.1 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install jupyterlab-plotly@5.15.0 @jupyter-widgets/jupyterlab-manager
 ```
 
 Please check out our [Troubleshooting guide](/python/troubleshooting/) if you run into any problems with JupyterLab, particularly if you are using multiple python environments inside Jupyter.

doc/python/icicle-charts.md

@@ -5,10 +5,10 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: '1.2'
-      jupytext_version: 1.4.2
+      format_version: '1.3'
+      jupytext_version: 1.14.6
   kernelspec:
-    display_name: Python 3
+    display_name: Python 3 (ipykernel)
     language: python
     name: python3
   language_info:
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.7.7
+    version: 3.10.11
   plotly:
     description: How to make Icicle Charts.
     display_as: basic
@@ -418,6 +418,30 @@ fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
 fig.show()
 ```
 
+### Pattern Fills
+
+*New in 5.15*
+
+Icicle charts support [patterns](/python/pattern-hatching-texture/) (also known as hatching or texture) in addition to color. In this example, we apply a pattern to all chart sections. We also configure the `size` and `solidity` of the pattern.
+
+```python
+import plotly.graph_objects as go
+
+fig = go.Figure(
+    go.Icicle(
+        labels=["Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"],
+        parents=["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve"],
+        values=[10, 14, 12, 10, 2, 6, 6, 4, 4],
+        root_color="lightgrey",
+        textfont_size=20,
+        marker=dict(pattern=dict(shape="|", size=5, solidity=0.9)),
+    )
+)
+
+fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
+fig.show()
+```
+
 ### Set the Direction of Icicle charts
 
 As mentioned above, Icicle charts can grow in one of four directions. Icicle charts have a `tiling` attribute and this has two attributes: `orientation` and `flip`. `orientation` takes either `h` (horiztonal) or `v` (vertical) and `flip` takes either `x` or `y`. You can use these two attributes in combination to create each of the four cardinal directions: left, right, top, bottom.

doc/python/legend.md

@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.8.8
+    version: 3.10.11
   plotly:
     description: How to configure and style the legend in Plotly with Python.
     display_as: file_settings
@@ -638,6 +638,43 @@ fig.show()
 
 ```
 
+### Positioning Legends
+
+In the previous example, we position the second legend by specifying x and y values. By default, these values are based on the width and height of the plot area. It is also possible to specify values that reference the container width and height by setting "xref=container" and "yref="container" (the default values are "xref=paper" and "yref="paper"). When set to "container", the margin grows so the legend and plot don't overlap.
+
+```python
+import plotly.graph_objects as go
+from plotly import data
+
+df = data.gapminder()
+
+df_germany = df.loc[(df.country.isin(["Germany"]))]
+df_france = df.loc[(df.country.isin(["France"]))]
+df_uk = df.loc[(df.country.isin(["United Kingdom"]))]
+
+fig = go.Figure(
+    data=[
+        go.Scatter(x=df_germany.year, y=df_germany.gdpPercap, name="Germany"),
+        go.Scatter(x=df_france.year, y=df_france.gdpPercap, name="France"),
+        go.Scatter(x=df_uk.year, y=df_uk.gdpPercap, name="UK"),
+    ],
+    layout=dict(
+        title="GDP Per Capita",
+        legend={
+            "x": 0.9,
+            "y": 0.9,
+            "xref": "container",
+            "yref": "container",
+            "bgcolor": "Gold",
+            "title": {"text": "By continent"},
+        },
+    ),
+)
+
+fig.show()
+
+```
+
 #### Reference
 
 See https://plotly.com/python/reference/layout/#layout-legend for more information!

doc/python/pattern-hatching-texture.md

@@ -6,7 +6,7 @@ jupyter:
       extension: .md
       format_name: markdown
       format_version: '1.3'
-      jupytext_version: 1.13.7
+      jupytext_version: 1.14.6
   kernelspec:
     display_name: Python 3 (ipykernel)
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.9.7
+    version: 3.10.11
   plotly:
     description: How to use patterns (also known as hatching or texture) with bar
       charts.
@@ -34,9 +34,9 @@ jupyter:
     thumbnail: thumbnail/pattern.png
 ---
 
-*New in v5.0*
+*New in 5.0, with support for pie, sunburst, icicle, funnelarea, and treemap charts in 5.15*
 
-[Bar charts](/python/bar-charts/), [histograms](/python/histograms/), [polar bar charts](/python/wind-rose-charts/) and [area charts](/python/filled-area-plots/) have large markers or areas which support not only a fill color, but also an optional **pattern** (also known as "hatching" or "texture"). This can be used for a variety of reasons:
+[Bar charts](/python/bar-charts/), [histograms](/python/histograms/), [polar bar charts](/python/wind-rose-charts/), [area charts](/python/filled-area-plots/), [pie charts](/python/pie-charts), [sunburst charts](/python/sunburst-charts), [funnelarea charts](/python/funnel-charts), [icicle charts](/python/icicle-charts/), and [treemap charts](/python/treemaps), have large markers or areas which support not only a fill color, but also an optional **pattern** (also known as "hatching" or "texture"). This can be used for a variety of reasons:
 
 * to double-encode variables (i.e. using both color and pattern) to improve accessibility for visually-impaired end-users
 * to encode an additional variable beyond just using color
@@ -79,7 +79,7 @@ In the charts above, the first value of the variable assigned `pattern_shape` ge
 
 Here we use `pattern_shape_sequence` to replace the defaults and include a pattern-shape for the first variable:
 
-```python tags=[]
+```python
 import plotly.express as px
 df = px.data.medals_long()