Plotly

go.Pie.py

import plotly.express as px
import plotly.graph_objs as go
from plotly.subplots import make_subplots

fig = make_subplots(
    rows=1,
    cols=3,
    subplot_titles=("구독 유지 비율", "선호 난이도", "구독 유형"),
    specs=[[{"type": "domain"}, {"type": "domain"}, {"type": "domain"}]],
)


df = train.groupby("target").count()
f = go.Pie(
    labels=df.index,
    values=df["user_id"],
    text=df["user_id"],
    name="구독 유지",
    texttemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
    textposition="auto",
    hovertemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
)
fig.add_trace(f, row=1, col=1)


df = train.groupby("preferred_difficulty_level").count()
f = go.Pie(
    labels=df.index,
    values=df["user_id"],
    text=df["user_id"],
    name="선호 난이도",
    texttemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
    textposition="auto",
    hovertemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
)
fig.add_trace(f, row=1, col=2)


df = train.groupby("subscription_type").count()
f = go.Pie(
    labels=df.index,
    values=df["user_id"],
    text=df["user_id"],
    name="구독 유형",
    texttemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
    textposition="auto",
    hovertemplate="<b>%{label}</b><br>%{value}<br>(%{percent})",
)
fig.add_trace(f, row=1, col=3)

fig.update_traces(hole=0.3)
fig.update_layout(title_text="<b>범주형 비율</b>", showlegend=False)
fig.show()


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()

show_named_plotly_colours()