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'] = Truefig['data'][0]['name'] = 'Humidity' fig.show() |
Output:
Before setting legend
After setting legend.
