Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
matplotlib.axis.Axis.get_ticklocs() Function
The Axis.get_ticklocs() function in axis module of matplotlib library is used to get the array of tick locations in data coordinates.
Syntax: Axis.get_ticklocs(self, minor=False)
Parameters: This method accepts the following parameters.
- minor : This parameter contains the boolean value. If True return the minor ticklocs, else return the major ticklocs.
Return value: This method returns the array of tick locations in data coordinates.
Below examples illustrate the matplotlib.axis.Axis.get_ticklocs() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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(('$a$', '$valx$', '$b$')) fig.suptitle('Matplotlib.axis.Axis.get_ticklocs()\n\ Function Example', fontweight ="bold") ax.grid() print("Value of get_ticklocs() :") for i in ax.xaxis.get_ticklocs(): print(i) plt.show() |
Output:
Value of get_ticklocs() : 2 7 9
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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) print("Value of get_ticklocs() :") for i in ax.xaxis.get_ticklocs(): print(i) fig.suptitle('Matplotlib.axis.Axis.get_ticklocs()\n\ Function Example', fontweight ="bold") ax.grid() plt.show() |
Output:
Value of get_ticklocs() : 0.0 3.141592653589793 6.283185307179586
