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_label_position() Function
The Axis.get_label_position() function in axis module of matplotlib library is used to get the label position.
Syntax: Axis.get_label_position(self)
Parameters: This method does not accepts any parameter.
Return value: This method returns the label position.
Below examples illustrate the matplotlib.axis.Axis.get_label_position() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt fig, ax2 = plt.subplots(sharex = True) fig.subplots_adjust(left=0.2, wspace=0.6) box = dict(facecolor='green', pad=5, alpha=0.2) ax2.plot(20*np.random.rand(10)) ax2.xaxis.set_label_text('X - Label', bbox=box) ax2.set_xlim(0, 10) print("Position of Label :",ax2.xaxis.get_label_position()) fig.suptitle("Matplotlib.axis.Axis.get_label_position()\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
Position of Label : bottom
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt fig, (ax1, ax2) = plt.subplots(2, 1, sharex = True) fig.subplots_adjust(left=0.2, wspace=0.6) box = dict(facecolor='green', pad=5, alpha=0.2) np.random.seed(19680801) ax1.plot(2*np.random.rand(10)) ax1.set_title('Label is not aligned') ax1.yaxis.set_label_text('Default', bbox=box) ax1.set_ylim(0, 20) print("Position of Label in Axes 1 :", ax1.yaxis.get_label_position()) ax2.set_title('\nLabel is aligned') ax2.plot(20*np.random.rand(10)) ax2.yaxis.set_label_text('Adjusted', bbox=box) ax2.yaxis.set_label_position('right') ax2.set_ylim(0, 20) print("Position of Label in Axes 2 :", ax2.yaxis.get_label_position()) fig.suptitle("Matplotlib.axis.Axis.get_label_position()\ Function Example", fontsize = 12, fontweight ='bold') plt.show() |
Output:
Position of Label in Axes 1 : left Position of Label in Axes 2 : right
