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.matshow() Function
The Axes.matshow() function in axes module of matplotlib library is also used to plot the values of a 2D matrix or array as color-coded image.
Syntax:
Axes.matshow(self, Z, **kwargs)Parameters: This method accept the following parameters that are described below:
- z: This parameter contains the matrix which is to be displayed.
Returns: This returns the following:
- image : This returns the AxesImage
Below examples illustrate the matplotlib.axes.Axes.imshow() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm dx, dy = 0.015, 0.05y, x = np.mgrid[slice(-4, 4 + dy, dy), slice(-4, 4 + dx, dx)] z = (1 - x / 3. + x ** 5 + y ** 5) * np.exp(-x ** 2 - y ** 2) z = z[:-1, :-1] z_min, z_max = -np.abs(z).max(), np.abs(z).max() fig, ax = plt.subplots() c = ax.matshow(z, cmap ='Greens', vmin = z_min, vmax = z_max, extent =[x.min(), x.max(), y.min(), y.max()], interpolation ='nearest', origin ='lower') fig.colorbar(c, ax = ax) ax.set_title('matplotlib.axes.Axes.matshow() Examples\n') plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np def samplemat(dims): """Make a matrix with all zeros and increasing elements on the diagonal""" aa = np.zeros(dims) for i in range(min(dims)): aa[i, i] = np.sin(i**3)**2 + i**3 return aa # Display matrix fig, ax = plt.subplots() ax.matshow(samplemat((9, 9)), cmap ="Accent") ax.set_title('matplotlib.axes.Axes.matshow() Examples\n') plt.show() |
Output:
