How to Export Matplotlib Plot with Transparent Background in Python?

Last Updated : 28 Nov, 2021

In this article, we will discuss how to export a Matplotlib plot with Transparent background in Python.

After plotting the data, if we want to export the plot, then we have to use savefig() function.

Syntax:

savefig('plot_name.png', transparent=True)

where

plot_name is the image name given to our plot which is plotted from the data
transparent is used to get the transparent background when it set to true

Example 1: Python code to create the plot with 2 data points of the dataframe and export it

Python3

#import matplotlib
import matplotlib.pyplot as plt

#import pandas
import pandas as pd

# create a dataframe with 2 columns
data = pd.DataFrame({'data1': [1, 2, 3, 4, 21],
                     'data2': [6, 7, 8, 9, 10]})

# plot one by one
plt.plot(data['data1'])

plt.plot(data['data2'])


# set y label
plt.ylabel('Distance')

# set x label
plt.xlabel('Time')

# set title
plt.title('Travelling')

# display plot
plt.show()

# export it
plt.savefig('image.png', transparent=True)

Output:

Example 2 : Python code to create the plot with 3 data points of the dataframe and export it

Python3

#import matplotlib
import matplotlib.pyplot as plt

#import pandas
import pandas as pd

# create a dataframe with 2 columns
data = pd.DataFrame({'data1': [1, 2, 3, 4, 21], 
                     'data2': [6, 7, 8, 9, 10],
                     'data3': [56, 7, 8, 41, 10]})

# plot one by one
plt.plot(data['data1'])
plt.plot(data['data2'])
plt.plot(data['data3'])

# set y label
plt.ylabel('Distance')

# set x label
plt.xlabel('Time')

# set title
plt.title('Travelling')

# display plot
plt.show()

# export it
plt.savefig('image.png', transparent=True)