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.set_units() Function
The Axis.set_units() function in axis module of matplotlib library is used to set the units for axis.
Syntax: Axis.set_units(self, u)
Parameters: This method accepts the following parameters.
- u: This parameter is the units tag.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.set_units() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import random import matplotlib.lines as lines import matplotlib.patches as patches import matplotlib.text as text import matplotlib.collections as collections from basic_units import cm, inch import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_units(cm) ax.yaxis.set_units(cm) np.random.seed(19680801) line = lines.Line2D([2*cm, 8*cm], [0*cm, 2.5*cm], lw=2, color='green', axes=ax) ax.add_line(line) t = text.Text(3*cm, 2.5*cm, 'Line 1', ha='left', va='bottom', axes=ax, color='red') ax.add_artist(t) ax.set_xlim(-1*cm, 10*cm) ax.set_ylim(-1*cm, 10*cm) ax.grid(True) fig.suptitle("""matplotlib.axis.Axis.set_units() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt from basic_units import secs # create masked array data = (1, 2, 3, 4, 5, 6, 7, 8) mask = (1, 0, 1, 0, 0, 0, 1, 0) xsecs = secs * np.ma.MaskedArray(data, mask, float) fig, ax1 = plt.subplots() ax1.scatter(xsecs, xsecs) ax1.yaxis.set_units(secs) ax1.grid() fig.suptitle("""matplotlib.axis.Axis.set_units() function Example\n""", fontweight ="bold") plt.show() |
Output:
