Matplotlib.axis.Axis.set_units() function in Python
Last Updated :
08 Jun, 2020
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
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
from basic_units import secs
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(
, fontweight = "bold")
plt.show()
|
Output:
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