Matplotlib.axis.Axis.update_units() function in Python
Last Updated :
21 Dec, 2022
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
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(
, fontweight = "bold")
plt.show()
|
Output:
False
Example 2
Python3
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(
, fontweight = "bold")
plt.show()
|
Output:
False
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