How To Place Legend Outside the Plot with Seaborn 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 Place Legend Outside the Plot with Seaborn in Python?

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