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_axisbelow() Function
The Axes.set_axisbelow() function in axes module of matplotlib library is used to set whether axis ticks and gridlines are above or below most artists.
Syntax: Axes.set_axisbelow(self, b)
Parameters: This method accept only one parameters.
b: This parameter contains a boolean value and it’s possible values are : True, False or “line”. Returns:This method does not returns anything.
Below examples illustrate the matplotlib.axes.Axes.set_axisbelow() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np # Random test data np.random.seed(19680801) all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)] labels = ['x1', 'x2', 'x3', 'x4', 'x5'] fig, ax = plt.subplots() bplot = ax.boxplot(all_data, vert = True, patch_artist = True, labels = labels) colors = ['lightpink', 'lightblue', 'lightgreen', "lightgrey", "yellow"] for patch, color in zip(bplot['boxes'], colors): patch.set_facecolor(color) ax.yaxis.grid(True, color ="green", lw = 2) ax.set_axisbelow(True) ax.set_xlabel('Samples') ax.set_ylabel('Observed values') ax.set_title('matplotlib.axes.Axes.set_axisbelow() \ Example\n', fontsize = 12, fontweight ='bold') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np # Random test data np.random.seed(19680801) all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)] labels = ['x1', 'x2', 'x3', 'x4', 'x5'] fig, ax = plt.subplots() bplot = ax.boxplot(all_data, vert = True, patch_artist = True, labels = labels) colors = ['lightpink', 'lightblue', 'lightgreen', "lightgrey", "yellow"] for patch, color in zip(bplot['boxes'], colors): patch.set_facecolor(color) ax.yaxis.grid(True, color ="green", lw = 2) ax.set_axisbelow(False) ax.set_xlabel('Samples') ax.set_ylabel('Observed values') ax.set_title('matplotlib.axes.Axes.set_axisbelow()\ Example\n', fontsize = 12, fontweight ='bold') plt.show() |
Output:
