Matplotlib.axis.Axis.set_label_position() function in Python
Last Updated :
05 Jun, 2020
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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_position() Function
The Axis.set_label_position() function in axis module of matplotlib library is used to set the label position.
Syntax: Axis.set_label_position(self, position)
Parameters: This method accepts the following parameters.
- position: This parameter is the position of label {'top', 'bottom','left','right'}.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axis.Axis.set_label_position() function in matplotlib.axis:
Example 1:
# 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.set_xlabel('X - Label', bbox=box)
ax2.set_xlim(0, 10)
ax2.xaxis.set_label_position("top")
fig.suptitle("Matplotlib.axis.Axis.set_label_position()\
Function Example", fontsize = 12, fontweight ='bold')
plt.show()
Output:
Example 2:
# 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.set_ylabel('Default', bbox=box)
ax1.set_ylim(0, 20)
ax2.set_title('\nLabel is aligned')
ax2.plot(20*np.random.rand(10))
ax2.set_ylabel('Adjusted', bbox=box)
ax2.set_ylim(0, 20)
ax2.yaxis.set_label_position("right")
fig.suptitle("Matplotlib.axis.Axis.set_label_position()\
Function Example", fontsize = 12, fontweight ='bold')
plt.show()
Output:
