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.get_minorticklabels() Function
The Axis.get_minorticklabels() function in axis module of matplotlib library is used to get the list of Text instances for the minor ticklabels.
Syntax: Axis.get_minorticklabels(self)
Parameters: This method does not accepts any parameter.
Return value: This method returns the list of Text instances for the minor ticklabels.
Below examples illustrate the matplotlib.axis.Axis.get_minorticklabels() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function import numpy as np from matplotlib.axis import Axis import matplotlib.pyplot as plt import matplotlib.ticker as ticker np.random.seed( 19680801 ) fig, ax = plt.subplots() ax.plot( 100 * np.random.rand( 20 )) Axis.set_minor_locator(ax.xaxis, ticker.MultipleLocator( 1 )) print ( "Value of get_minorticklabels() :" ) for i in ax.xaxis.get_minorticklabels(): print (i) plt.title("Matplotlib.axis.Axis.get_minorticklabels()\n\ Function Example", fontsize = 12 , fontweight = 'bold' ) plt.show() |
Output:
Value of get_minorticklabels() : Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '') Text(0, 0, '')
Example 2:
Python3
# Implementation of matplotlib function import numpy as np from matplotlib.axis import Axis import matplotlib.pyplot as plt import matplotlib.ticker as ticker fig, ax = plt.subplots() ax.plot(np.random.rand( 1000 ), 'go' ) Axis.set_minor_locator(ax.yaxis, ticker.MultipleLocator( 1 )) print ( "Value of get_minorticklabels() :" ) for i in ax.yaxis.get_minorticklabels(): print (i) plt.title("Matplotlib.axis.Axis.get_minorticklabels()\n\ Function Example", fontsize = 12 , fontweight = 'bold' ) plt.show() |
Output:
Value of get_minorticklabels() : Text(0, 0, '') Text(0, 0, '')