plotly.colors package

For a list of colors available in plotly.colors, please see

Color scales and sequences are available within the following namespaces

  • cyclical

  • diverging

  • qualitative

  • sequential

plotly.colors.color_parser(colors, function)

Takes color(s) and a function and applies the function on the color(s)

In particular, this function identifies whether the given color object is an iterable or not and applies the given color-parsing function to the color or iterable of colors. If given an iterable, it will only be able to work with it if all items in the iterable are of the same type - rgb string, hex string or tuple

plotly.colors.colorscale_to_colors(colorscale)

Extracts the colors from colorscale as a list

plotly.colors.colorscale_to_scale(colorscale)

Extracts the interpolation scale values from colorscale as a list

plotly.colors.convert_colors_to_same_type(colors, colortype='rgb', scale=None, return_default_colors=False, num_of_defualt_colors=2)

Converts color(s) to the specified color type

Takes a single color or an iterable of colors, as well as a list of scale values, and outputs a 2-pair of the list of color(s) converted all to an rgb or tuple color type, aswell as the scale as the second element. If colors is a Plotly Scale name, then ‘scale’ will be forced to the scale from the respective colorscale and the colors in that colorscale will also be coverted to the selected colortype. If colors is None, then there is an option to return portion of the DEFAULT_PLOTLY_COLORS

Parameters
  • colors ((str|tuple|list)) – either a plotly scale name, an rgb or hex color, a color tuple or a list/tuple of colors

  • scale ((list)) – see docs for validate_scale_values()

:rtype (tuple) (colors_list, scale) if scale is None in the function call,

then scale will remain None in the returned tuple

plotly.colors.convert_colorscale_to_rgb(colorscale)

Converts the colors in a colorscale to rgb colors

A colorscale is an array of arrays, each with a numeric value as the first item and a color as the second. This function specifically is converting a colorscale with tuple colors (each coordinate between 0 and 1) into a colorscale with the colors transformed into rgb colors

plotly.colors.convert_dict_colors_to_same_type(colors_dict, colortype='rgb')

Converts a colors in a dictioanry of colors to the specified color type

Parameters

colors_dict ((dict)) – a dictioanry whose values are single colors

plotly.colors.convert_to_RGB_255(colors)

Multiplies each element of a triplet by 255

Each coordinate of the color tuple is rounded to the nearest float and then is turned into an integer. If a number is of the form x.5, then if x is odd, the number rounds up to (x+1). Otherwise, it rounds down to just x. This is the way rounding works in Python 3 and in current statistical analysis to avoid rounding bias

Parameters

rgb_components ((list)) – grabs the three R, G and B values to be returned as computed in the function

plotly.colors.find_intermediate_color(lowcolor, highcolor, intermed, colortype='tuple')

Returns the color at a given distance between two colors

This function takes two color tuples, where each element is between 0 and 1, along with a value 0 < intermed < 1 and returns a color that is intermed-percent from lowcolor to highcolor. If colortype is set to ‘rgb’, the function will automatically convert the rgb type to a tuple, find the intermediate color and return it as an rgb color.

plotly.colors.hex_to_rgb(value)

Calculates rgb values from a hex color code.

Parameters

value ((string)) – Hex color string

Rtype (tuple) (r_value, g_value, b_value)

tuple of rgb values

plotly.colors.label_rgb(colors)

Takes tuple (a, b, c) and returns an rgb color ‘rgb(a, b, c)’

plotly.colors.make_colorscale(colors, scale=None)

Makes a colorscale from a list of colors and a scale

Takes a list of colors and scales and constructs a colorscale based on the colors in sequential order. If ‘scale’ is left empty, a linear- interpolated colorscale will be generated. If ‘scale’ is a specificed list, it must be the same legnth as colors and must contain all floats For documentation regarding to the form of the output, see https://plot.ly/python/reference/#mesh3d-colorscale

Parameters

colors ((list)) – a list of single colors

plotly.colors.n_colors(lowcolor, highcolor, n_colors, colortype='tuple')

Splits a low and high color into a list of n_colors colors in it

Accepts two color tuples and returns a list of n_colors colors which form the intermediate colors between lowcolor and highcolor from linearly interpolating through RGB space. If colortype is ‘rgb’ the function will return a list of colors in the same form.

plotly.colors.named_colorscales()

Returns lowercased names of built-in continuous colorscales.

plotly.colors.unconvert_from_RGB_255(colors)

Return a tuple where each element gets divided by 255

Takes a (list of) color tuple(s) where each element is between 0 and 255. Returns the same tuples where each tuple element is normalized to a value between 0 and 1

plotly.colors.unlabel_rgb(colors)

Takes rgb color(s) ‘rgb(a, b, c)’ and returns tuple(s) (a, b, c)

This function takes either an ‘rgb(a, b, c)’ color or a list of such colors and returns the color tuples in tuple(s) (a, b, c)

plotly.colors.validate_colors(colors, colortype='tuple')

Validates color(s) and returns a list of color(s) of a specified type

plotly.colors.validate_colors_dict(colors, colortype='tuple')

Validates dictioanry of color(s)

plotly.colors.validate_colorscale(colorscale)

Validate the structure, scale values and colors of colorscale.

plotly.colors.validate_scale_values(scale)

Validates scale values from a colorscale

Parameters

scale ((list)) – a strictly increasing list of floats that begins with 0 and ends with 1. Its usage derives from a colorscale which is a list of two-lists (a list with two elements) of the form [value, color] which are used to determine how interpolation weighting works between the colors in the colorscale. Therefore scale is just the extraction of these values from the two-lists in order

Submodules

plotly.colors.carto module

Color sequences and scales from CARTO’s CartoColors

Learn more at https://github.com/CartoDB/CartoColor

CARTOColors are made available under a Creative Commons Attribution license: https://creativecommons.org/licenses/by/3.0/us/

plotly.colors.cmocean module

Color scales from the cmocean project

Learn more at https://matplotlib.org/cmocean/

cmocean is made available under an MIT license: https://github.com/matplotlib/cmocean/blob/master/LICENSE.txt

plotly.colors.colorbrewer module

Color scales and sequences from the colorbrewer 2 project

Learn more at http://colorbrewer2.org

colorbrewer is made available under an Apache license: http://colorbrewer2.org/export/LICENSE.txt

plotly.colors.cyclical module

Cyclical color scales are appropriate for continuous data that has a natural cyclical structure, such as temporal data (hour of day, day of week, day of year, seasons) or complex numbers or other phase data.

plotly.colors.cyclical.swatches(template=None)
Parameters

template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name or definition.

Returns

fig – A Figure object. This figure demonstrates the color scales and sequences in this module, as stacked bar charts.

Return type

graph_objects.Figure containing the displayed image

plotly.colors.cyclical.swatches_cyclical(template=None)
Parameters

template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name or definition.

Returns

fig – A Figure object. This figure demonstrates the color scales and sequences in this module, as polar bar charts.

Return type

graph_objects.Figure containing the displayed image

plotly.colors.diverging module

Diverging color scales are appropriate for continuous data that has a natural midpoint other otherwise informative special value, such as 0 altitude, or the boiling point of a liquid. The color scales in this module are mostly meant to be passed in as the color_continuous_scale argument to various functions, and to be used with the color_continuous_midpoint argument.

plotly.colors.diverging.swatches(template=None)
Parameters

template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name or definition.

Returns

fig – A Figure object. This figure demonstrates the color scales and sequences in this module, as stacked bar charts.

Return type

graph_objects.Figure containing the displayed image

plotly.colors.qualitative module

Qualitative color sequences are appropriate for data that has no natural ordering, such as categories, colors, names, countries etc. The color sequences in this module are mostly meant to be passed in as the color_discrete_sequence argument to various functions.

plotly.colors.qualitative.swatches(template=None)
Parameters

template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name or definition.

Returns

fig – A Figure object. This figure demonstrates the color scales and sequences in this module, as stacked bar charts.

Return type

graph_objects.Figure containing the displayed image

plotly.colors.sequential module

Sequential color scales are appropriate for most continuous data, but in some cases it can be helpful to use a plotly.colors.diverging or plotly.colors.cyclical scale instead. The color scales in this module are mostly meant to be passed in as the color_continuous_scale argument to various functions.

plotly.colors.sequential.swatches(template=None)
Parameters

template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name or definition.

Returns

fig – A Figure object. This figure demonstrates the color scales and sequences in this module, as stacked bar charts.

Return type

graph_objects.Figure containing the displayed image