Matplotlib.axes.Axes.clabel() in Python

Matplotlib.axes.Axes.fill() in Python

Last Updated : 13 Apr, 2020

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:

# Implementation of matplotlib function 
       
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() 

Output:

Example-2:

# Implementation of matplotlib function 
       
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() 

Output:

Matplotlib.axes.Axes.clabel() in Python

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