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.set_rasterization_zorder() Function
The Axes.set_rasterization_zorder() function in axes module of matplotlib library is used to return y formatted as an y-value.
Syntax: Axes.set_rasterization_zorder(self, z)
Parameters:
z : This parameter is the zorder below which artists are rasterized.Return value: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_rasterization_zorder() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function 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) m.set_zorder(-15) ax.set_rasterization_zorder(-5) fig.suptitle('matplotlib.axes.Axes.set_rasterization_zorder()\ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt xx = np.random.rand(16, 30) fig, (ax3, ax4) = plt.subplots(1, 2) m = ax3.pcolor(xx) m.set_zorder(-20) ax3.set_title("No Rasterization") m = ax4.pcolor(xx) m.set_zorder(-20) ax4.set_rasterization_zorder(-10) ax4.set_title("Rasterization z$<-10$") fig.suptitle('matplotlib.axes.Axes.set_rasterization_zorder()\ function Example', fontweight ="bold") plt.show() |
Output:
