No colors functions in ff utils

plotly/colors.py

@@ -77,6 +77,7 @@
 
 import decimal
 from numbers import Number
+import six
 
 from plotly import exceptions
 
@@ -203,19 +204,17 @@
         [0.8784313725490196, '#addc30'], [0.9411764705882353, '#d8e219'],
         [1, '#fde725']
     ],
-
     'Cividis': [
-        [0.000000, 'rgb(0,32,76)'], [0.058824, 'rgb(0,42,102)'], 
-        [0.117647, 'rgb(0,52,110)'], [0.176471, 'rgb(39,63,108)'], 
-        [0.235294, 'rgb(60,74,107)'], [0.294118, 'rgb(76,85,107)'], 
-        [0.352941, 'rgb(91,95,109)'], [0.411765, 'rgb(104,106,112)'], 
-        [0.470588, 'rgb(117,117,117)'], [0.529412, 'rgb(131,129,120)'], 
-        [0.588235, 'rgb(146,140,120)'], [0.647059, 'rgb(161,152,118)'], 
-        [0.705882, 'rgb(176,165,114)'], [0.764706, 'rgb(192,177,109)'], 
-        [0.823529, 'rgb(209,191,102)'], [0.882353, 'rgb(225,204,92)'], 
+        [0.000000, 'rgb(0,32,76)'], [0.058824, 'rgb(0,42,102)'],
+        [0.117647, 'rgb(0,52,110)'], [0.176471, 'rgb(39,63,108)'],
+        [0.235294, 'rgb(60,74,107)'], [0.294118, 'rgb(76,85,107)'],
+        [0.352941, 'rgb(91,95,109)'], [0.411765, 'rgb(104,106,112)'],
+        [0.470588, 'rgb(117,117,117)'], [0.529412, 'rgb(131,129,120)'],
+        [0.588235, 'rgb(146,140,120)'], [0.647059, 'rgb(161,152,118)'],
+        [0.705882, 'rgb(176,165,114)'], [0.764706, 'rgb(192,177,109)'],
+        [0.823529, 'rgb(209,191,102)'], [0.882353, 'rgb(225,204,92)'],
         [0.941176, 'rgb(243,219,79)'], [1.000000, 'rgb(255,233,69)']
     ]
-
 }
 
 
@@ -245,62 +244,105 @@ def color_parser(colors, function):
             return new_color_list
 
 
-def validate_colors(colors):
+def validate_colors(colors, colortype='tuple'):
     """
-    Validates color(s) and returns an error for invalid color(s)
-
-    :param (str|tuple|list) colors: either a plotly scale name, an rgb or hex
-        color, a color tuple or a list/tuple of colors
+    Validates color(s) and returns a list of color(s) of a specified type
     """
-    colors_list = []
+    from numbers import Number
+    if colors is None:
+        colors = DEFAULT_PLOTLY_COLORS
 
-    # if colors is a single color, put into colors_list
     if isinstance(colors, str):
         if colors in PLOTLY_SCALES:
-            return
+            colors_list = colorscale_to_colors(PLOTLY_SCALES[colors])
+            # TODO: fix _gantt.py/_scatter.py so that they can accept the
+            # actual colorscale and not just a list of the first and last
+            # color in the plotly colorscale. In resolving this issue we
+            # will be removing the immediate line below
+            colors = [colors_list[0]] + [colors_list[-1]]
         elif 'rgb' in colors or '#' in colors:
-            colors_list.append(colors)
+            colors = [colors]
         else:
             raise exceptions.PlotlyError(
-                'If your colors variable is a string, it must be a '
-                'Plotly scale, an rgb color or a hex color.'
-            )
+                "If your colors variable is a string, it must be a "
+                "Plotly scale, an rgb color or a hex color.")
 
     elif isinstance(colors, tuple):
         if isinstance(colors[0], Number):
-            colors_list = [colors]
+            colors = [colors]
         else:
-            colors_list = list(colors)
-
-    if isinstance(colors, dict):
-        colors_list.extend(colors.values())
-
-    elif isinstance(colors, list):
-        colors_list = colors
+            colors = list(colors)
 
-    # Validate colors in colors_list
-    for j, each_color in enumerate(colors_list):
+    # convert color elements in list to tuple color
+    for j, each_color in enumerate(colors):
         if 'rgb' in each_color:
-            each_color = color_parser(
-                each_color, unlabel_rgb
-            )
+            each_color = color_parser(each_color, unlabel_rgb)
             for value in each_color:
                 if value > 255.0:
                     raise exceptions.PlotlyError(
-                        'Whoops! The elements in your rgb colors '
-                        'tuples cannot exceed 255.0.'
+                        "Whoops! The elements in your rgb colors "
+                        "tuples cannot exceed 255.0."
                     )
-        elif '#' in each_color:
-            each_color = color_parser(
-                each_color, hex_to_rgb
-            )
-        elif isinstance(each_color, tuple):
+            each_color = color_parser(each_color, unconvert_from_RGB_255)
+            colors[j] = each_color
+
+        if '#' in each_color:
+            each_color = color_parser(each_color, hex_to_rgb)
+            each_color = color_parser(each_color, unconvert_from_RGB_255)
+
+            colors[j] = each_color
+
+        if isinstance(each_color, tuple):
             for value in each_color:
                 if value > 1.0:
                     raise exceptions.PlotlyError(
-                        'Whoops! The elements in your colors tuples '
-                        'cannot exceed 1.0.'
+                        "Whoops! The elements in your colors tuples "
+                        "cannot exceed 1.0."
+                    )
+            colors[j] = each_color
+
+    if colortype == 'rgb' and not isinstance(colors, six.string_types):
+        for j, each_color in enumerate(colors):
+            rgb_color = color_parser(each_color, convert_to_RGB_255)
+            colors[j] = color_parser(rgb_color, label_rgb)
+
+    return colors
+
+
+def validate_colors_dict(colors, colortype='tuple'):
+    """
+    Validates dictioanry of color(s)
+    """
+    # validate each color element in the dictionary
+    for key in colors:
+        if 'rgb' in colors[key]:
+            colors[key] = color_parser(colors[key], unlabel_rgb)
+            for value in colors[key]:
+                if value > 255.0:
+                    raise exceptions.PlotlyError(
+                        "Whoops! The elements in your rgb colors "
+                        "tuples cannot exceed 255.0."
                     )
+            colors[key] = color_parser(colors[key], unconvert_from_RGB_255)
+
+        if '#' in colors[key]:
+            colors[key] = color_parser(colors[key], hex_to_rgb)
+            colors[key] = color_parser(colors[key], unconvert_from_RGB_255)
+
+        if isinstance(colors[key], tuple):
+            for value in colors[key]:
+                if value > 1.0:
+                    raise exceptions.PlotlyError(
+                        "Whoops! The elements in your colors tuples "
+                        "cannot exceed 1.0."
+                    )
+
+    if colortype == 'rgb':
+        for key in colors:
+            colors[key] = color_parser(colors[key], convert_to_RGB_255)
+            colors[key] = color_parser(colors[key], label_rgb)
+
+    return colors
 
 
 def convert_colors_to_same_type(colors, colortype='rgb', scale=None,
@@ -324,7 +366,6 @@ def convert_colors_to_same_type(colors, colortype='rgb', scale=None,
     :rtype (tuple) (colors_list, scale) if scale is None in the function call,
         then scale will remain None in the returned tuple
     """
-    #if colors_list is None:
     colors_list = []
 
     if colors is None and return_default_colors is True:
@@ -462,6 +503,22 @@ def validate_scale_values(scale):
             )
 
 
+def validate_colorscale(colorscale):
+    """Validate the structure, scale values and colors of colorscale."""
+    if not isinstance(colorscale, list):
+        # TODO Write tests for these exceptions
+        raise exceptions.PlotlyError("A valid colorscale must be a list.")
+    if not all(isinstance(innerlist, list) for innerlist in colorscale):
+        raise exceptions.PlotlyError(
+            "A valid colorscale must be a list of lists."
+        )
+    colorscale_colors = colorscale_to_colors(colorscale)
+    scale_values = colorscale_to_scale(colorscale)
+
+    validate_scale_values(scale_values)
+    validate_colors(colorscale_colors)
+
+
 def make_colorscale(colors, scale=None):
     """
     Makes a colorscale from a list of colors and a scale

plotly/figure_factory/_2d_density.py

@@ -3,6 +3,7 @@
 from numbers import Number
 
 from plotly import exceptions
+import plotly.colors as clrs
 from plotly.figure_factory import utils
 from plotly.graph_objs import graph_objs
 
@@ -100,12 +101,12 @@ def create_2d_density(x, y, colorscale='Earth', ncontours=20,
             "Both lists 'x' and 'y' must be the same length."
         )
 
-    colorscale = utils.validate_colors(colorscale, 'rgb')
+    colorscale = clrs.validate_colors(colorscale, 'rgb')
     colorscale = make_linear_colorscale(colorscale)
 
     # validate hist_color and point_color
-    hist_color = utils.validate_colors(hist_color, 'rgb')
-    point_color = utils.validate_colors(point_color, 'rgb')
+    hist_color = clrs.validate_colors(hist_color, 'rgb')
+    point_color = clrs.validate_colors(point_color, 'rgb')
 
     trace1 = graph_objs.Scatter(
         x=x, y=y, mode='markers', name='points',

plotly/figure_factory/_annotated_heatmap.py

@@ -1,6 +1,7 @@
 from __future__ import absolute_import
 
 from plotly import exceptions, optional_imports
+import plotly.colors as clrs
 from plotly.figure_factory import utils
 from plotly.graph_objs import graph_objs
 from plotly.validators.heatmap import ColorscaleValidator
@@ -123,7 +124,7 @@ def to_rgb_color_list(color_str, default):
     if 'rgb' in color_str:
         return [int(v) for v in color_str.strip('rgb()').split(',')]
     elif '#' in color_str:
-        return utils.hex_to_rgb(color_str)
+        return clrs.hex_to_rgb(color_str)
     else:
         return default
 

plotly/figure_factory/_bullet.py

@@ -3,7 +3,8 @@
 import collections
 import math
 
-from plotly import colors, exceptions, optional_imports
+from plotly import exceptions, optional_imports
+import plotly.colors as clrs
 from plotly.figure_factory import utils
 
 import plotly
@@ -12,15 +13,9 @@
 pd = optional_imports.get_module('pandas')
 
 
-def is_sequence(obj):
-    return (isinstance(obj, collections.Sequence) and
-            not isinstance(obj, str))
-
-
 def _bullet(df, markers, measures, ranges, subtitles, titles, orientation,
             range_colors, measure_colors, horizontal_spacing,
             vertical_spacing, scatter_options, layout_options):
-
     num_of_lanes = len(df)
     num_of_rows = num_of_lanes if orientation == 'h' else 1
     num_of_cols = 1 if orientation == 'h' else num_of_lanes
@@ -78,7 +73,7 @@ def _bullet(df, markers, measures, ranges, subtitles, titles, orientation,
     for row in range(num_of_lanes):
         # ranges bars
         for idx in range(len(df.iloc[row]['ranges'])):
-            inter_colors = colors.n_colors(
+            inter_colors = clrs.n_colors(
                 range_colors[0], range_colors[1],
                 len(df.iloc[row]['ranges']), 'rgb'
             )
@@ -104,7 +99,7 @@ def _bullet(df, markers, measures, ranges, subtitles, titles, orientation,
 
         # measures bars
         for idx in range(len(df.iloc[row]['measures'])):
-            inter_colors = colors.n_colors(
+            inter_colors = clrs.n_colors(
                 measure_colors[0], measure_colors[1],
                 len(df.iloc[row]['measures']), 'rgb'
             )
@@ -261,7 +256,7 @@ def create_bullet(data, markers=None, measures=None, ranges=None,
             "'pandas' must be installed for this figure factory."
         )
 
-    if is_sequence(data):
+    if utils.is_sequence(data):
         if not all(isinstance(item, dict) for item in data):
             raise exceptions.PlotlyError(
                 'Every entry of the data argument list, tuple, etc must '
@@ -275,7 +270,7 @@ def create_bullet(data, markers=None, measures=None, ranges=None,
 
     # make DataFrame from data with correct column headers
     col_names = ['titles', 'subtitle', 'markers', 'measures', 'ranges']
-    if is_sequence(data):
+    if utils.is_sequence(data):
         df = pd.DataFrame(
             [
                 [d[titles] for d in data] if titles else [''] * len(data),
@@ -317,8 +312,8 @@ def create_bullet(data, markers=None, measures=None, ranges=None,
                     "Both 'range_colors' or 'measure_colors' must be a list "
                     "of two valid colors."
                 )
-            colors.validate_colors(colors_list)
-            colors_list = colors.convert_colors_to_same_type(colors_list,
+            clrs.validate_colors(colors_list)
+            colors_list = clrs.convert_colors_to_same_type(colors_list,
                                                              'rgb')[0]
 
     # default scatter options

plotly/figure_factory/_county_choropleth.py

@@ -1,4 +1,5 @@
-from plotly import colors, exceptions, optional_imports
+from plotly import exceptions, optional_imports
+import plotly.colors as clrs
 
 from plotly.figure_factory import utils
 
@@ -641,14 +642,14 @@ def create_choropleth(fips, values, scope=['usa'], binning_endpoints=None,
 
     if not colorscale:
         colorscale = []
-        viridis_colors = colors.colorscale_to_colors(
-            colors.PLOTLY_SCALES['Viridis']
+        viridis_colors = clrs.colorscale_to_colors(
+            clrs.PLOTLY_SCALES['Viridis']
         )
-        viridis_colors = colors.color_parser(
-            viridis_colors, colors.hex_to_rgb
+        viridis_colors = clrs.color_parser(
+            viridis_colors, clrs.hex_to_rgb
         )
-        viridis_colors = colors.color_parser(
-            viridis_colors, colors.label_rgb
+        viridis_colors = clrs.color_parser(
+            viridis_colors, clrs.label_rgb
         )
         viri_len = len(viridis_colors) + 1
         viri_intervals = utils.endpts_to_intervals(
@@ -665,18 +666,18 @@ def create_choropleth(fips, values, scope=['usa'], binning_endpoints=None,
             intermed = ((L - viri_intervals[idx][0]) /
                         (viri_intervals[idx][1] - viri_intervals[idx][0]))
 
-            float_color = colors.find_intermediate_color(
+            float_color = clrs.find_intermediate_color(
                 viridis_colors[idx],
                 viridis_colors[idx],
                 intermed,
                 colortype='rgb'
             )
 
             # make R,G,B into int values
-            float_color = colors.unlabel_rgb(float_color)
-            float_color = colors.unconvert_from_RGB_255(float_color)
-            int_rgb = colors.convert_to_RGB_255(float_color)
-            int_rgb = colors.label_rgb(int_rgb)
+            float_color = clrs.unlabel_rgb(float_color)
+            float_color = clrs.unconvert_from_RGB_255(float_color)
+            int_rgb = clrs.convert_to_RGB_255(float_color)
+            int_rgb = clrs.label_rgb(int_rgb)
 
             colorscale.append(int_rgb)