How to set up multiple subplots with grouped legends using Plotly in Python?

Plotly – How to show legend in single-trace scatterplot with plotly express?

Last Updated : 28 Feb, 2022

In this article let’s see how to show legend in single-trace scatterplot with plotly express. A ‘trace’ is the name given to each plot inside the chart. Generally in plotly legend is not visible for single trace scatter plots.

Example:

In the below, example packages and data are imported and a single trace scatter plot is plotted using px.scatter(). fig.layout.showlegend= True doesn’t work in this case so we need to enable showlegend by using this code fig[‘data’][0][‘showlegend’]=True. fig[‘data’][0][‘name’]=’Humidity’ says that name of the only variable in the legend is ‘Humidity’.

To view and download the CSV file used click here.

Python3

# import packages and libraries 
import pandas as pd 
from matplotlib import pyplot as plt 
import numpy as np 
import plotly.express as px 
  
# reading the dataset 
df = pd.read_csv('weather.csv', encoding='UTF-8') 
  
# creating a scatterplot 
fig = px.scatter(df, x="Temperature", y='Humidity', 
                 trendline='ols', trendline_color_override='red') 
  
  
fig['data'][0]['showlegend'] = True
fig['data'][0]['name'] = 'Humidity'
  
fig.show() 

Output:

Before setting legend

After setting legend.

How to set up multiple subplots with grouped legends using Plotly in Python?

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