Matplotlib.axes.Axes.get_xlabel() in Python
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()
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Output:
Example 2:
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)
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()
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Output:
Last Updated :
19 Apr, 2020
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