How to make multiple plots on the same figure in Matplotlib in Python

1 min

Matplotlib is a must when you need to plot data.

Using the matplotlib.pyplot.subplots() method you can specify the number of plots you want in your figure.

Here is an example

# DataFrame library
import pandas as pd
# Graphing library
import maptplotlib.pyplot as plt

df = pd.DataFrame({"col1":range(0,10),
				   "col2":range(0,10)})

# We define the main canvas with 2 rows and 1 column
# and a height of 12 inches and a width of 6 inches
fig, axes = plt.subplots(2,1, figsize=(12,6))

# We plot the col1 on the first plot
axes[0].plot(df["col1"])

# We graph the col2 on the second plot
axes[1].plot(df["col2"])

# To make the plot nice and tidy
fig.tight_layout()

# We show the plot
plt.show()
How to do multiple plot on the same figure in Matplotlib

Here you are! You now know how to make multiple plots on the same figure in Matplotlib in Python.