Matplotlib.axis.Axis.get_rasterized() function in Python
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Axis.get_rasterized() Function
The Axis.get_rasterized() function in axis module of matplotlib library is used to get whether the artist is to be rasterized..
Syntax: Axis.get_rasterized(self)
Parameters: This method does not accepts any parameter.
Return value: This method return whether the artist is to be rasterized.
Below examples illustrate the matplotlib.axis.Axis.get_rasterized() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
d = np.arange( 100 ).reshape( 10 , 10 )
xx, yy = np.meshgrid(np.arange( 11 ), np.arange( 11 ))
fig, ax = plt.subplots()
ax.set_aspect( 1 )
m = ax.pcolormesh(xx, yy, d)
if Axis.get_rasterized(m) = = None :
Axis.set_rasterized(m, True )
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.gridspec as gridspec
import numpy as np
arr = np.arange( 100 ).reshape(( 10 , 10 ))
norm = mcolors.Normalize(vmin = 0. , vmax = 100. )
pc_kwargs = { 'cmap' : 'plasma' , 'norm' : norm}
fig, ax = plt.subplots( )
im = ax.pcolormesh(arr, * * pc_kwargs)
fig.colorbar(im, ax = ax, shrink = 0.6 )
if Axis.get_rasterized(im) = = None :
Axis.set_rasterized(im, False )
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Last Updated :
08 Jun, 2020
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...