Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Axis.set_label() Function
The Axis.set_label() function in axis module of matplotlib library is used to set the label that will be displayed in the legend.
Syntax: Axis.set_label(self, s)
Parameters: This method accepts the following parameters.
- s: This parameter is converted to a string by calling str.
Return value: This method return the picking behavior of the artist.
Below examples illustrate the matplotlib.axis.Axis.set_label() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np from matplotlib.collections import EllipseCollection x = np.arange(5) y = np.arange(7) X, Y = np.meshgrid(x**2, y**3) XY = np.column_stack((X.ravel(), Y.ravel())) fig, ax = plt.subplots() ec = EllipseCollection(5, 7, 5, units ='y', offsets = XY * 0.5, transOffset = ax.transData, cmap ="plasma") ec.set_array((X * Y + X * X).ravel()) ax.add_collection(ec) ax.autoscale_view() ax.set_xlabel('X') ax.set_ylabel('y') cbar = plt.colorbar(ec) cbar.set_label('X + Y') fig.suptitle('matplotlib.axis.Axis.set_label() \ function Example\n', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np np.random.seed(19680801) n = 100000x = np.random.standard_normal(n) y = 2 * np.random.standard_normal(n) z =[1, 2, 3, 4] fig, ax = plt.subplots() hb = ax.hexbin(x, y, gridsize = 50, bins ='log', cmap ='bone') cb = fig.colorbar(hb, ax = ax) cb.set_label('log') fig.suptitle('matplotlib.axis.Axis.set_label() \ function Example\n', fontweight ="bold") plt.show() |
Output:
