Matplotlib.axes.Axes.pcolor() in Python
Last Updated :
13 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.pcolor() Function
The Axes.pcolor() function in axes module of matplotlib library is also used to create a pseudocolor plot with a non-regular rectangular grid
Syntax: Axes.pcolor(self, *args, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, data=None, **kwargs)
pcolor([X, Y, ] C, **kwargs)
Parameters: This method accept the following parameters that are described below:
- C : This parameter contains the values in 2D array which are to be color-mapped.
- X, Y: These parameter are the coordinates of the quadrilateral corners.
- cmap : This parameter is a colormap instance or registered colormap name.
- norm : This parameter is the Normalize instance scales the data values to the canonical colormap range [0, 1] for mapping to colors
- vmin, vmax : These parameter are optional in nature and they are colorbar range.
- edgecolors : This parameter is a ccolor of the edges. {‘none’, None, ‘face’, color, color sequence}
- alpha : This parameter is a intensity of the color.
- snap : This parameter is used to snap the mesh to pixel boundaries.
Returns: This returns the collection.
Below examples illustrate the matplotlib.axes.Axes.pcolor() function in matplotlib.axes:
Example-1:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
Z = np.random.rand( 6 , 30 )
fig, ax0 = plt.subplots()
ax0.pcolor(Z)
ax0.set_title( 'matplotlib.axes.Axes.pcolor() Examples' )
plt.show()
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Output:
Example-2:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
Z = np.random.rand( 16 , 30 )
fig, (ax0, ax1) = plt.subplots( 2 , 1 )
c = ax0.pcolor(Z)
c = ax1.pcolor(Z, edgecolors = 'k' , linewidths = 1 )
ax1.set_title( '2.Example with edges' )
ax0.set_title('matplotlib.axes.Axes.pcolor() \
Examples\n1.Example with no edges')
plt.show()
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Output:
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