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_xminorticklabels() Function
The Axes.get_xminorticklabels() function in axes module of matplotlib library is used to return the minor x ticks labels.
Syntax: Axes.get_xminorticklabels(self)
Parameters: This method does not accepts any parameters.
Return value: This method returns a list of Text instances.
Below examples illustrate the matplotlib.axes.Axes.get_xminorticklabels() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Polygon def func(x): return (x - 4) * (x - 6) * (x - 5) + 100 a, b = 2, 9 # integral limits x = 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 region ix = 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_xminorticklabels() # print(list(w)) strr = str(list(w)) ax.text(2.5, 200, "xminorticklabels values : "+strr, fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_xminorticklabels() \ function Example\n\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt # Fixing random state for reproducibility np.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_xminorticklabels() # print(list(w)) strr = str(list(w)) ax.text(2, 0, "xminorticklabels values : "+strr, fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_xminorticklabels()\ function Example\n\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
