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.set_ticks() Function
The Axis.set_ticks() function in axis module of matplotlib library is used to set the locations of the tick marks from sequence ticks.
Syntax: Axis.set_ticks(self, ticks, \*, minor=False)
Parameters: This method accepts the following parameters.
- ticks : This parameter is the sequence of floats.
- minor : This parameter contains the bool value.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.set_ticks() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = np.linspace(0,2*np.pi,100) y = 2*np.sin(x) ax = fig.add_subplot() ax.plot(x,y) ax.yaxis.set_ticks([1,2,3,4,5,6,7]) ax.grid() fig.suptitle("""matplotlib.axis.Axis.set_ticks() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = np.linspace(-np.pi, np.pi, 100) y = 2 * np.sin(x) ax = fig.add_subplot() ax.set_title('centered spines') ax.plot(x, y) ax.spines['left'].set_position('center') ax.spines['right'].set_color('none') ax.spines['bottom'].set_position('center') ax.spines['top'].set_color('none') ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') ax.xaxis.set_ticks([-3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5, 3]) ax.grid() fig.suptitle("""matplotlib.axis.Axis.set_ticks() function Example\n""", fontweight ="bold") plt.show() |
Output:
