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.have_units() Function
The Axis.have_units() function in axis module of matplotlib library is used to check whether the units are set on any axis.
Syntax: Axis.have_units(self)
Parameters: This method does not accepts any parameter.
Return value: This method return True if units are set on any axis.
Below examples illustrate the matplotlib.axis.Axis.have_units() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt fig, axs = plt.subplots() axs.plot([ 1 , 2 , 3 ]) axs.set_title( "Units are set on any axis : " + str (axs.xaxis.have_units())) fig.suptitle('matplotlib.axis.Axis.have_units() \ function Example\n', fontweight = "bold" ) plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt fig, ax1 = plt.subplots( ) ax1.set_xscale( "log" ) ax1.set_yscale( "log" ) ax1.set_adjustable( "datalim" ) ax1.plot([ 1 , 3 , 34 , 4 , 46 , 3 , 7 , 45 , 10 ], [ 1 , 9 , 27 , 8 , 29 , 84 , 78 , 19 , 48 ], "o-" , color = "green" ) ax1.set_xlim( 1e - 1 , 1e2 ) ax1.set_ylim( 1 , 1e2 ) w = Axis.have_units(ax1.yaxis) print ( "Value Return by have_units() :" , w) fig.suptitle('matplotlib.axis.Axis.have_units() \ function Example\n', fontweight = "bold" ) plt.show() |
Output: