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_frame_on() Function
The Axes.set_frame_on() function in axes module of matplotlib library is used to set whether the axes rectangle patch is drawn or not.
Syntax: Axes.set_axis_on(self)
Parameters: This method accept only one parameters.
b: This parameter contains a boolean value and it is used for drawing the axes rectangle patch. Returns:This method does not returns anything.
Note: If True is used, it does not effect any thing.
Below examples illustrate the matplotlib.axes.Axes.set_frame_on() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange(-5, 5, 0.01) y1 = -3 * x*x + 10 * x + 10y2 = 3 * x*x + x fig, ax = plt.subplots() ax.plot(x, y1, x, y2, color ='black') ax.fill_between(x, y1, y2, where = y2 >y1, facecolor ='green', alpha = 0.8) ax.fill_between(x, y1, y2, where = y2 <= y1, facecolor ='black', alpha = 0.8) ax.set_frame_on(False) ax.set_title('matplotlib.axes.Axes.set_frame_on() Example') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange(16) y = np.sin(x / 3) fig, ax = plt.subplots() ax.step(x, y + 2, label ='pre (default)') ax.plot(x, y + 2, 'o--', color ='black', alpha = 0.3) ax.step(x, y + 1, where ='mid', label ='mid') ax.plot(x, y + 1, 'o--', color ='black', alpha = 0.3) ax.step(x, y, where ='post', label ='post') ax.plot(x, y, 'o--', color ='black', alpha = 0.3) ax.grid(axis ='x', color ='0.95') ax.legend(title ='Parameter where:') ax.set_frame_on(False) ax.set_title('matplotlib.axes.Axes.set_frame_on() Example') plt.show() |
Output:
