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 functionfrom matplotlib.axis import Axisimport matplotlib.pyplot as plt import numpy as np np.random.seed(10**7) neveropen = np.random.randn(100) fig, ax = plt.subplots() ax.acorr(neveropen, 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 functionfrom matplotlib.axis import Axisimport 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
