How to add a legend to a Matplotlib plot in Python

1 min

As you will see, you probably will need to add legends to your plots.

Matplotlib will add a legend, every time you make a plot with the label parameter and then call the axes.legend() function.

Here is an example

# For our example dataframe
import pandas as pd
# For our plot
import matplotlib.pyplot as plt

# Generating sample data
df = pd.DataFrame({"col1":range(10)})

# Creating a canvas for our plots
fig, axes = plt.subplots(1,1, figsize=(12,6))

# We plot with a label parameter that will be in our legend.
axes.plot(df["col1"], label="Column 1")
# We tell matplotlib we want a legend on our main plot

# We make our canvas tidy and clean

# We show the graph
How to add a legend to a Matplotlib plot in Python

Here you are! You now know how to add a legend to your plot.

More on plots

If you want to know more about how to add labels, plot different types of plots, etc... check out the other articles I wrote on the topic, just here :

Matplotlib - The Python You Need
We gathered the only Python essentials that you will probably ever need.