Matplotlib.axes.Axes.get_xticklabels() in Python

19 Apr, 2020
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.
The Axes.get_xticklabels() function in axes module of matplotlib library is used to return the x ticks labels as a list of Text instances.
Syntax:Axes.get_xticklabels(self, minor=False, which=None)
Parameters: This method accepts the following parameters.
minor : This parameter is used whether set major ticklabels or to set minor ticklabels
which : This parameter is used to selects which ticklabels to return.
Return value: This method returns a list of Text instances.
Below examples illustrate the matplotlib.axes.Axes.get_xticklabels() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib.patches import Polygon          def func(x):    return (x - 4) * (x - 6) * (x - 5) + 100          a, b = 2, 9  # integral limitsx = np.linspace(0, 10)y = func(x)     fig, ax = plt.subplots()ax.plot(x, y, "k", linewidth = 2)ax.set_ylim(bottom = 0)     # Make the shaded regionix = np.linspace(a, b)iy = func(ix)verts = [(a, 0), *zip(ix, iy), (b, 0)]poly = Polygon(verts, facecolor ='green',               edgecolor ='0.5', alpha = 0.4)ax.add_patch(poly)     ax.text(0.5 * (a + b), 30,        r"$\int_a ^ b f(x)\mathrm{d}x$",        horizontalalignment ='center',        fontsize = 20)     fig.text(0.9, 0.05, '$x$')fig.text(0.1, 0.9, '$y$')     ax.spines['right'].set_visible(False)ax.spines['top'].set_visible(False)   ax.set_xticks((a, b-a, b))ax.set_xticklabels(('$a$', '$valx$', '$b$'))  w = ax.get_xticklabels()strr = str(list(w))ax.text(3.4, 200, "xticklabels values : ",        fontweight ="bold")ax.text(1, 185, strr, fontweight ="bold")    fig.suptitle('matplotlib.axes.Axes.get_xticklabels() \function Example\n\n', fontweight ="bold")fig.canvas.draw()plt.show()
Output:
Example 2:
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as plt     # Fixing random state for reproducibilitynp.random.seed(19680801)     x = np.linspace(0, 2 * np.pi, 100)y = np.sin(x)y2 = y + 0.2 * np.random.normal(size = x.shape)     fig, ax = plt.subplots()ax.plot(x, y)ax.plot(x, y2)    ax.set_xticks([0, np.pi, 2 * np.pi])ax.set_xticklabels(['0', r'$pi$', r'2$pi$'])     ax.spines['left'].set_bounds(-1, 1)ax.spines['right'].set_visible(False)ax.spines['top'].set_visible(False)  w = ax.get_xticklabels()strr = str(list(w))ax.text(2.5, 0, "xticklabels values : ",         fontweight ="bold")ax.text(1, -0.2, strr, fontweight ="bold")    fig.suptitle('matplotlib.axes.Axes.get_xticklabels()\ function Example\n\n', fontweight ="bold")fig.canvas.draw()plt.show()
Output:
Python-matplotlib
Python
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