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])**2close = (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() |
Output:
