Matplotlib.axes.Axes.get_xlabel() in Python

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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.get_xlabel() Function

The Axes.get_xlabel() function in axes module of matplotlib library is used to get the xlabel text string.

Syntax: Axes.get_xlabel(self)

Parameters: This method does not accepts any parameters.

Return: This function return the xlabel text string.

Below examples illustrate the matplotlib.axes.Axes.get_xlabel() function in matplotlib.axes:

Example 1:

import matplotlib.pyplot as plt 
import numpy as np 
   
t = np.arange(0.01, 5.0, 0.01) 
s = np.exp(-t) 
   
fig, ax = plt.subplots() 
   
ax.plot(t, s) 
ax.set_xlim(5, 0) 
ax.set_xlabel('Display X-axis Label', fontweight ='bold') 
ax.grid(True) 
  
w = ax.get_xlabel() 
ax.set_xlabel("") 
ax.text(3.5, 0.5, "Previously assigned X-Label : \n\n"+str(w),  
        fontsize = 12) 
fig.suptitle("matplotlib.axes.Axes.get_xlabel() function \ 
Example\n", fontweight ="bold") 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.cbook as cbook 
   
with cbook.get_sample_data('goog.npz') as datafile: 
    price_data = np.load(datafile)['price_data'].view(np.recarray) 
      
# get the most recent 250 trading days 
price_data = price_data[-250:]   
   
delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1] 
   
volume = (25 * price_data.volume[:-2] / price_data.volume[0])**2
close = (0.03 * price_data.close[:-2] / 0.03 * price_data.open[:-2])**2
   
fig, ax = plt.subplots() 
ax.scatter(delta1[:-1], delta1[1:], 
           c = close, s = volume,  
           alpha = 0.5) 
   
ax.set_xlabel(r'X-axis contains $\Delta_i$ values', 
              fontweight ='bold') 
ax.grid(True) 
  
w = ax.get_xlabel() 
ax.set_xlabel("") 
ax.set_ylabel(w) 
ax.text(-0.1, 0.1, "Previously assigned X-Label is now\ 
Assigned to Y-Label", fontsize = 12, fontweight ="bold") 
  
fig.suptitle("matplotlib.axes.Axes.get_xlabel() \ 
function Example\n", fontweight ="bold") 
plt.show() 