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.set_xlabel() Function
The Axes.set_xlabel() function in axes module of matplotlib library is used to set the label for the x-axis.
Syntax: Axes.set_xlabel(self, xlabel, fontdict=None, labelpad=None, **kwargs)
Parameters: This method accepts the following parameters.
- xlabel : This parameter is the label text.
- labelpad : This parameter is the spacing in points from the axes bounding box including ticks and tick labels.
Returns:This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.set_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 ) ax.set_title('matplotlib.axes.Axes.set_xlabel()\ Examples\n ', fontsize = 14, 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 ]) * * 3 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 ) fig.suptitle( 'matplotlib.axes.Axes.set_xlabel() Examples\n' , fontsize = 14 , fontweight = 'bold' ) plt.show() |
Output: