Plotly:如何使用 Plotly Express 组合散点图和线图?

2023-09-28Python开发问题
24

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问题描述

Plotly Express 有一种直观的方式,可以用最少的代码行提供预先格式化的绘图;有点像 Seaborn 是如何为 matplotlib 做的.

可以在 Plotly 上添加绘图轨迹,以在现有线图上获得散点图.但是,我在 Plotly Express 中找不到这样的功能.

是否可以在 Plotly Express 中结合散点图和折线图?

解决方案

你可以使用:

fig3 = go.Figure(data=fig1.data + fig2.data)

fig1fig2 是使用

Plotly Express has an intuitive way to provide pre-formatted plotly plots with minimal lines of code; sort of how Seaborn does it for matplotlib.

It is possible to add traces of plots on Plotly to get a scatter plot on an existing line plot. However, I couldn't find such a functionality in Plotly Express.

Is it possible to combine a scatter and line graph in Plotly Express?

解决方案

You can use:

fig3 = go.Figure(data=fig1.data + fig2.data)

Where fig1 and fig2 are built using px.line() and px.scatter(), respectively. And fig3 is, as you can see, built using plotly.graph_objects.

Some details:

One approach that I use alot is building two figures fig1 and fig2 using plotly.express and then combine them using their data attributes together with a go.Figure / plotly.graph_objects object like this:

import plotly.express as px
import plotly.graph_objects as go
df = px.data.iris()

fig1 = px.line(df, x="sepal_width", y="sepal_length")
fig1.update_traces(line=dict(color = 'rgba(50,50,50,0.2)'))

fig2 = px.scatter(df, x="sepal_width", y="sepal_length", color="species")

fig3 = go.Figure(data=fig1.data + fig2.data)
fig3.show()

Plot:

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