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Matplotlib.axis.Axis.set_units() function in Python

Last Updated : 08 Jun, 2020
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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_units() Function

The Axis.set_units() function in axis module of matplotlib library is used to set the units for axis. 
 

Syntax: Axis.set_units(self, u) 

Parameters: This method accepts the following parameters. 

  • u: This parameter is the units tag.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Axis.set_units() function in matplotlib.axis:

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import random
import matplotlib.lines as lines
import matplotlib.patches as patches
import matplotlib.text as text
import matplotlib.collections as collections
  
from basic_units import cm, inch
import numpy as np
import matplotlib.pyplot as plt
  
fig, ax = plt.subplots()
ax.xaxis.set_units(cm)
ax.yaxis.set_units(cm)
  
np.random.seed(19680801)
  
line = lines.Line2D([2*cm, 8*cm], [0*cm, 2.5*cm],
                    lw=2, color='green', axes=ax)
ax.add_line(line)
  
t = text.Text(3*cm, 2.5*cm,
              'Line 1',
              ha='left',
              va='bottom',
              axes=ax,
              color='red')
ax.add_artist(t)
  
ax.set_xlim(-1*cm, 10*cm)
ax.set_ylim(-1*cm, 10*cm)
  
ax.grid(True)
  
fig.suptitle("""matplotlib.axis.Axis.set_units()
function Example\n""", fontweight ="bold")  
      
plt.show()


Output: 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
from basic_units import secs
  
# create masked array
data = (1, 2, 3, 4, 5, 6, 7, 8)
mask = (1, 0, 1, 0, 0, 0, 1, 0)
xsecs = secs * np.ma.MaskedArray(data, mask, float)
  
fig, ax1 = plt.subplots()
  
ax1.scatter(xsecs, xsecs)
ax1.yaxis.set_units(secs)
  
ax1.grid()
  
fig.suptitle("""matplotlib.axis.Axis.set_units()
function Example\n""", fontweight ="bold")  
      
plt.show()


Output: 

 



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