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.Tick.have_units() Function
The Tick.have_units() function in axis module of matplotlib library is used to check whether the units are set on any axis.
Syntax: Tick.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.Tick.have_units() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse delta = 15.0 angles = np.arange(0, 360 + delta, delta) ells = [Ellipse((2, 2), 5, 2, a) for a in angles] fig, ax = plt.subplots() for e in ells: Tick.set_clip_box(e, ax.bbox) e.set_facecolor("green") e.set_alpha(0.05) ax.add_artist(e) plt.xlim(-1, 5) plt.ylim(-1, 5) ax.set_title("Units are set on any axis : " +str(Tick.have_units(ax.xaxis))) fig.suptitle('matplotlib.axis.Tick.have_units() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick 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 = Tick.have_units(ax1.yaxis) print("Value Return by have_units() :", w) fig.suptitle('matplotlib.axis.Tick.have_units() \ function Example', fontweight ="bold") plt.show() |
Output:
Value Return by have_units() : False
