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# Matplotlib.axis.Axis.set_ticks() function in Python

• Last Updated : 08 Jun, 2020

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 functionfrom matplotlib.axis import Axisimport matplotlib.pyplot as pltimport 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 functionfrom matplotlib.axis import Axisimport matplotlib.pyplot as pltimport 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:

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