Matplotlib.axis.Axis.update_units() 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.update_units() Function

The Axis.update_units() function in axis module of matplotlib library is used to introspect data for units converter and update the axis.converter instance if necessary. 

Syntax: Axis.update_units(self, data) 

Parameters: This method accepts the following parameters. 

• data: This parameter is the data to be update.

Return value: This method return True if data is registered for unit conversion. 

Below examples illustrate the matplotlib.axis.Axis.update_units() 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


np.random.seed(10**7)
geeks = np.random.randn(100)

fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
         normed = True,
         maxlags = 80, lw = 3)

ax.grid(True)

prop = {'xticks': np.array([-100., -50.,
                            0., 50., 100.]),
        'yticks': np.array([-0.2,  0.2,
                            0.6, 1., 1.4]),
        'ylabel': None, 'xlabel': None}

ax.update(prop)

w = Axis.update_units(ax.xaxis,[1,2,3,4,5])
print(w)

fig.suptitle("""matplotlib.axis.Axis.update_units()
function Example\n""", fontweight ="bold")

plt.show()

Output:

False

Example 2

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt


xx = np.random.rand(16, 30)

fig, ax = plt.subplots()

m = ax.pcolor(xx)
m.set_zorder(-20)

w = Axis.update_units(ax.xaxis,[1,2,3,4,5])
print(w)

fig.suptitle("""matplotlib.axis.Axis.update_units()
function Example\n""", fontweight ="bold")

plt.show()

Output:

False