Matplotlib.axis.Axis.set_ticks() function in Python
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
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
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(
, fontweight = "bold")
plt.show()
|
Output:
Last Updated :
08 Jun, 2020
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