Hi! I’m working with Python 3 in Jupyter Notebook from the Anaconda distribution. I have a pie chart and I wold like to set the colours of my plot putting them into a list: colors = [‘#FEBFB3’, ‘#E1396C’, ‘#96D38C’, ‘#D0F9B1’] Where can I find a list of the colours’ codes? Thank you! Edit by Plotly: Check out how we used Plotly Studio to build an app that shows all the Plotly color scales.

The list of named colors is the list of CSS named colors, for which a reference can be found here: - CSS | MDN Edit by Plotly: to make it easier to see a quick overview of all Plotly color scales, check out this Plotly Studio app.

Hi @silviamorins You can find plotly’s default colors here: [image] Discrete Over 13 examples of Discrete Colors including changing color, size, log axes, and more in Python. [image] Built-in Detailed examples of Built-in Continuous Color Scales including changing color, size, log axes, and more in Python.

Hi @silviamorins, These are Plotly default colors: [ '#1f77b4', # muted blue '#ff7f0e', # safety orange '#2ca02c', # cooked asparagus green '#d62728', # brick red '#9467bd', # muted purple '#8c564b', # chestnut brown '#e377c2', # raspberry yogurt pink '#7f7f7f', # middle gray '#bcbd22', # curry yellow-green '#17becf' # blue-teal ] or with their rgb code: DEFAULT_PLOTLY_COLORS=['rgb(31, 119, 180)', 'rgb(255, 127, 14)', 'rgb(44, 160, 44)', 'rgb(214, 39, 40)', 'rgb(148, 103, 189)', 'rgb(140, 86, 75)', 'rgb(227, 119, 194)', 'rgb(127, 127, 127)', 'rgb(188, 189, 34)', 'rgb(23, 190, 207)'] Named css colors: CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen Example: import plotly.graph_objs as go labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen'] values = [2500, 1053, 3125, 930] colors = ['aliceblue', 'aqua', 'aquamarine', 'darkturquoise'] trace = go.Pie(labels=labels, values=values, hoverinfo='label+percent', textinfo='value', textfont=dict(size=20), marker=dict(colors=colors, line=dict(color='rgb(100,100,100)', width=1) ) ) fw=go.FigureWidget(data=[trace]) fw [pie-chart-css-colors]

Thank you, this is exactly what I was looking for! However, is there a way in which I can assign the colours to the elements of the list “labels”? I’m plotting two times the same elements to different values, and plotly sorts the colours how he wants.

Thanks for the list of available colours above. I made a simple table based on the list to quickly see what the colours look like: def show_named_plotly_colours(): """ function to display to user the colours to match plotly's named css colours. Reference: #https://community.plotly.com/t/plotly-colours-list/11730/3 Returns: plotly dataframe with cell colour to match named colour name """ s=''' aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen ''' li=s.split(',') li=[l.replace('\n','') for l in li] li=[l.replace(' ','') for l in li] import pandas as pd import plotly.graph_objects as go df=pd.DataFrame.from_dict({'colour': li}) fig = go.Figure(data=[go.Table( header=dict( values=["Plotly Named CSS colours"], line_color='black', fill_color='white', align='center', font=dict(color='black', size=14) ), cells=dict( values=[df.colour], line_color=[df.colour], fill_color=[df.colour], align='center', font=dict(color='black', size=11) )) ]) fig.show() [image]

The built-in color scales are shown here: https://plotly.com/python/builtin-colorscales/ More information is also available regarding continuous color here https://plotly.com/python/colorscales/ and discrete color here https://plotly.com/python/discrete-color/ :slight_smile:

Thanks for the info, but I have yet another question. How would I convert to rgb a color like “green” programmatically? I understand I can go get the above mentioned link and extract it from there but is there any functionality in plotly to do so? For example this px.colors.convert_colors_to_same_type(['red', 'blue', (0, 0.5, 1)], ) returns: ([‘red’, ‘blue’, ‘rgb(0, 128, 255)’], None) Which I don’t think is the intended output I"m looking for something like px.colors.to_rgb(“reed”) → ‘rgb(255, 0, 0)’ Thanks for reading

Hi Obviously you found the answer but I thought maybe below also be useful: import plotly as plt for i in plt.colors.DEFAULT_PLOTLY_COLORS: print(i)

updating with new path to plotly colors - packages/python/plotly/templategen/utils/colors.py

Link to the list of colors: https://github.com/plotly/plotly.py/blob/master/packages/python/plotly/templategen/utils/colors.py (old link was broken)

Hello everyone :wave: I’d like to share my latest Dash app - Color Scale Selection . :rainbow: This tool is designed to provide an interactive way to select and visualize color scales for plots. This is the first part of a multi-page application, which represents all the sequential color scales. [image] Thanks to PyCafe, which provides an easy way to create and share Python applications!

Plotly colours list

📊 Plotly Python

bcd July 13, 2018, 7:38am 2

Hi @silviamorins

You can find plotly’s default colors here:

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Plotly colours list

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