Matplotlib.pyplot.savefig() in Python

Matplotlib.pyplot.savefig() in Python

Matplotlib is highly useful visualization library in Python. It is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. Visualization plays a very important role as it helps us to understand huge chunks of data and extract knowledge.


As the name suggests savefig() method is used to save the figure created after plotting data. The figure created can be saved to our local machines by using this method.


Syntax: savefig(fname, dpi=None, facecolor=’w’, edgecolor=’w’, orientation=’portrait’, papertype=None, format=None, transparent=False, bbox_inches=None, pad_inches=0.1, frameon=None, metadata=None)


fname Filename .png for image, .pdf for pdf format.
File location can also be specified here.
dpi Number of dots per inch.(picture quality)
papertype Paper type could be “a0 to a10”, “executive”,
“b0 to b10”, “letter”, “legal”, “ledger”.
format File format such as .png, .pdf.
facecolor and edgecolor Default as White.
bbox_inches Set it as “tight” for proper fit of the saved figure.
pad_inches Padding around the saved figure.
transparent Makes background of the picture transparent.
Orientation Landscape or Portrait.

Example 1:

# importing required modules 
import matplotlib.pyplot as plt
# creating plotting data
xaxis =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
yaxis =[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# plotting 
plt.plot(xaxis, yaxis)
# saving the file.Make sure you 
# use savefig() before show().

Output :

Example 2:

# importing the modules 
import matplotlib.pyplot as plt
# creating data and plotting a histogram
x =[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
# saving the figure.
            bbox_inches ="tight",
            pad_inches = 1,
            transparent = True,
            facecolor ="g",
            edgecolor ='w',
            orientation ='landscape')

Output :

Last Updated on March 17, 2022 by admin

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