Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.savefig() method
The savefig() method figure module of matplotlib library is used to save the current figure.
Syntax: savefig(self, fname, *, transparent=None, **kwargs)
Parameters: This method accept the following parameters that are discussed below:
- fname :This parameter is the file name string.
Returns: This method does not returns any value.
Below examples illustrate the matplotlib.figure.Figure.savefig() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.cm as cm import matplotlib.mlab as mlab import matplotlib.pyplot as plt fig, ax = plt.subplots() s = ax.scatter([ 1 , 2 , 3 ], [ 4 , 5 , 6 ]) fig.savefig( 'scatter.svg' ) fig.suptitle( """matplotlib.figure.Figure.savefig() function Example\n\n""" , fontweight = "bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.cm as cm import matplotlib.mlab as mlab import matplotlib.pyplot as plt fig, ax = plt.subplots() delta = 0.025 x = y = np.arange( - 3.0 , 3.0 , delta) X, Y = np.meshgrid(x, y) Z1 = np.exp( - X * * 2 - Y * * 2 ) Z2 = np.exp( - (X - 1 ) * * 2 - (Y - 1 ) * * 2 ) Z = (Z1 - Z2) * 2 im = ax.imshow(Z, interpolation = 'bilinear' , cmap = cm.gray, origin = 'lower' , extent = [ - 3 , 3 , - 3 , 3 ]) fig.savefig( 'image.svg' ) fig.suptitle( """matplotlib.figure.Figure.savefig() function Example\n\n""" , fontweight = "bold") plt.show() |
Output: