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.get_rasterization_zorder() Function
The Axes.get_rasterization_zorder() function in axes module of matplotlib library is used to return the zorder value below which artists will be rasterized.
Syntax: Axes.get_rasterization_zorder(self)
Parameters: This method does not accepts any parameters.
Returns: This method return the zorder value below which artists will be rasterized.
Below examples illustrate the matplotlib.axes.Axes.get_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) w = ax.get_rasterization_zorder() ax.text( 2, 9.5, "Rasterization Zorder Value : " + str(w)) fig.suptitle('matplotlib.axes.Axes.get_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) w = ax3.get_rasterization_zorder() ax3.set_title("Rasterization Zorder Value : " + str(w)) m = ax4.pcolor(xx) m.set_zorder(-20) ax4.set_rasterization_zorder(-10) w = ax4.get_rasterization_zorder() ax4.set_title("Rasterization Zorder Value : " + str(w)) fig.suptitle('matplotlib.axes.Axes.get_rasterization_zorder()\ function Example', fontweight ="bold") plt.show() |
Output:
