Matplotlib.axes.Axes.fill() in Python
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.fill() Function
The Axes.fill() function in axes module of matplotlib library is used to plot filled polygons.
Syntax:
Axes.fill(self, *args, data=None, **kwargs)
Parameters: This method accept the following parameters that are described below:
- *args: These parameter are the lists of x and y positions of its nodes, optionally followed by a color specifier.
- data: This parameter is an optional parameter and it is an object with labelled data.
Returns: This returns the list of Polygon.
Below examples illustrate the matplotlib.axes.Axes.fill() function in matplotlib.axes:
Example-1:
import numpy as np
from matplotlib import patches
import matplotlib.pyplot as plt
x = np.array([ 1 , 4 , 1 , 4 ])
y = np.array([ 1 , 1 , 4 , 4 ])
fig, ax1 = plt.subplots()
ax1.fill(x, y, facecolor = 'green' )
ax1.set_title( 'matplotlib.axes.Axes.fill Example 1' )
plt.show()
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Output:
Example-2:
import numpy as np
from matplotlib import patches
import matplotlib.pyplot as plt
theta = np.deg2rad(np.arange( 0.0 , 360.0 , 1.0 ))
x = 0.5 * np.cos(theta)
y = 0.5 * np.sin(theta)
fig, (ax1, ax2, ax3) = plt.subplots( 1 , 3 , figsize = ( 9 , 3 ),
subplot_kw = { 'aspect' : 'equal' },
sharey = True )
ax1.fill(x, y, facecolor = 'green' )
ax1.set_title( 'Fig 1' )
ax2.fill(x, y, facecolor = 'green' , edgecolor = 'black' ,
linewidth = 4 )
ax2.set_title( 'Fig 2' )
ax3.fill(x, y, facecolor = 'none' , edgecolor = 'green' ,
linewidth = 4 )
ax3.set_title( 'Fig 3' )
plt.show()
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Output:
Last Updated :
13 Apr, 2020
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