plotly color name python

1def show_named_plotly_colours():
2    """
3    function to display to user the colours to match plotly's named
4    css colours.
5
6    Reference:
7        #https://community.plotly.com/t/plotly-colours-list/11730/3
8
9    Returns:
10        plotly dataframe with cell colour to match named colour name
11
12    """
13    s='''
14        aliceblue, antiquewhite, aqua, aquamarine, azure,
15        beige, bisque, black, blanchedalmond, blue,
16        blueviolet, brown, burlywood, cadetblue,
17        chartreuse, chocolate, coral, cornflowerblue,
18        cornsilk, crimson, cyan, darkblue, darkcyan,
19        darkgoldenrod, darkgray, darkgrey, darkgreen,
20        darkkhaki, darkmagenta, darkolivegreen, darkorange,
21        darkorchid, darkred, darksalmon, darkseagreen,
22        darkslateblue, darkslategray, darkslategrey,
23        darkturquoise, darkviolet, deeppink, deepskyblue,
24        dimgray, dimgrey, dodgerblue, firebrick,
25        floralwhite, forestgreen, fuchsia, gainsboro,
26        ghostwhite, gold, goldenrod, gray, grey, green,
27        greenyellow, honeydew, hotpink, indianred, indigo,
28        ivory, khaki, lavender, lavenderblush, lawngreen,
29        lemonchiffon, lightblue, lightcoral, lightcyan,
30        lightgoldenrodyellow, lightgray, lightgrey,
31        lightgreen, lightpink, lightsalmon, lightseagreen,
32        lightskyblue, lightslategray, lightslategrey,
33        lightsteelblue, lightyellow, lime, limegreen,
34        linen, magenta, maroon, mediumaquamarine,
35        mediumblue, mediumorchid, mediumpurple,
36        mediumseagreen, mediumslateblue, mediumspringgreen,
37        mediumturquoise, mediumvioletred, midnightblue,
38        mintcream, mistyrose, moccasin, navajowhite, navy,
39        oldlace, olive, olivedrab, orange, orangered,
40        orchid, palegoldenrod, palegreen, paleturquoise,
41        palevioletred, papayawhip, peachpuff, peru, pink,
42        plum, powderblue, purple, red, rosybrown,
43        royalblue, saddlebrown, salmon, sandybrown,
44        seagreen, seashell, sienna, silver, skyblue,
45        slateblue, slategray, slategrey, snow, springgreen,
46        steelblue, tan, teal, thistle, tomato, turquoise,
47        violet, wheat, white, whitesmoke, yellow,
48        yellowgreen
49        '''
50    li=s.split(',')
51    li=[l.replace('\n','') for l in li]
52    li=[l.replace(' ','') for l in li]
53
54    import pandas as pd
55    import plotly.graph_objects as go
56
57    df=pd.DataFrame.from_dict({'colour': li})
58    fig = go.Figure(data=[go.Table(
59      header=dict(
60        values=["Plotly Named CSS colours"],
61        line_color='black', fill_color='white',
62        align='center', font=dict(color='black', size=14)
63      ),
64      cells=dict(
65        values=[df.colour],
66        line_color=[df.colour], fill_color=[df.colour],
67        align='center', font=dict(color='black', size=11)
68      ))
69    ])
70
71    fig.show()
72