Matplotlib.axis.Axis.update_units() function in Python
Last Updated :
21 Dec, 2022
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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.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:
# 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
# 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
