在绘图中向堆积条形图添加计数百分比

Given the following chart created in plotly.

我想添加每个块内 M 和 F 类别的每个计数的百分比值。

用于生成该图的代码。

arr = np.array([
        ['Dog', 'M'], ['Dog', 'M'], ['Dog', 'F'], ['Dog', 'F'],
        ['Cat', 'F'], ['Cat', 'F'], ['Cat', 'F'], ['Cat', 'M'],
        ['Fox', 'M'], ['Fox', 'M'], ['Fox', 'M'], ['Fox', 'F'],
        ['Dog', 'F'], ['Dog', 'F'], ['Cat', 'F'], ['Dog', 'M']
    ])

df = pd.DataFrame(arr, columns=['A', 'G'])

fig = px.histogram(df, x="A", color='G', barmode="stack")
fig.update_layout(height=400, width=800)

fig.show()

据我所知，Plotly 中的直方图没有文本属性。但是您可以自己生成条形图，然后通过文本属性添加百分比。

import numpy as np
import pandas as pd
import plotly.express as px

arr = np.array([
        ['Dog', 'M'], ['Dog', 'M'], ['Dog', 'F'], ['Dog', 'F'],
        ['Cat', 'F'], ['Cat', 'F'], ['Cat', 'F'], ['Cat', 'M'],
        ['Fox', 'M'], ['Fox', 'M'], ['Fox', 'M'], ['Fox', 'F'],
        ['Dog', 'F'], ['Dog', 'F'], ['Cat', 'F'], ['Dog', 'M']
    ])

df = pd.DataFrame(arr, columns=['A', 'G'])

df_g = df.groupby(['A', 'G']).size().reset_index()
df_g['percentage'] = df.groupby(['A', 'G']).size().groupby(level=0).apply(lambda x: 100 * x / float(x.sum())).values
df_g.columns = ['A', 'G', 'Counts', 'Percentage']

px.bar(df_g, x='A', y=['Counts'], color='G', text=df_g['Percentage'].apply(lambda x: '{0:1.2f}%'.format(x)))