python 如何在图Plotly，Python的一侧获得分布

你可以使用subplots，然后在你的go.Scatter音迹旁边放置一个单边的小提琴曲线图.为了使该图更易于阅读，我添加了secondary yaxis，这样小提琴曲线图中的yAxis刻度线不会位于散布曲线图和小提琴曲线图之间，并且我减小了两个曲线图之间的间距.

一个有用的提示是，在Ploly中，默认的yAxis范围是[min-range/16, max+range/16]，我用它来手动设置小提琴绘图的范围，使其与散布相匹配.

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

from plotly.graph_objs.scatter.marker import Line
import numpy as np

## use a sample timeseries data set
df = px.data.stocks()

y_testing = df.set_index('date')
y_testing.drop(columns=['AAPL', 'AMZN', 'FB', 'NFLX', 'MSFT'], inplace=True)

np.random.seed(42)
for i in range(20):
    y_testing[f'GOOG_{i}'] = y_testing['GOOG'] + np.random.normal(loc=0.0, scale=0.05, size=len(y_testing))


fig = make_subplots(rows=1, cols=2, column_widths=[0.8, 0.2], horizontal_spacing=0.01, specs=[[{"secondary_y": False}, {"secondary_y": True}]])

fig.add_trace(go.Scatter(
    x=y_testing.index,
    y=y_testing.iloc[:, 0]
    ),row=1, col=1
)

for i in range(1, len(y_testing.columns)-1):
    fig.add_trace(go.Scatter(
        x=y_testing.index,
        y=y_testing.iloc[:, i]
    ),row=1, col=1
)

fig.add_trace(go.Violin(
        y=y_testing.iloc[-1],
        side='positive'
    ),row=1, col=2, secondary_y=True,
)

## determine yaxis range for the scatter
y_testing_min = y_testing.min().min()
y_testing_max = y_testing.max().max()
y_testing_range = y_testing_max - y_testing_min
y_range = [y_testing_min - y_testing_range/16, y_testing_max + y_testing_range/16]
fig.update_yaxes(range=y_range, secondary_y=True)

fig.show()