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:
