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_between() Function
The Axes.fill_between() function in axes module of matplotlib library is used to fill the area between two horizontal curves.
Syntax: Axes.fill_between(self, x, y1, y2=0, where=None, interpolate=False, step=None, *, data=None, **kwargs)
Parameters: This method accept the following parameters that are described below:
- x: This parameter contains the horizontal coordinates of the data points which are used to define the curves.
- y1: This parameter contains the y coordinates of the data points which are used to define the first curves
- y2: This parameter contains the y coordinates of the data points which are used to define the second curves. It is an optional with default value of 0.
- where: This parameter is an optional parameter. And it is used to exclude some horizontal regions from being filled.
- interpolate: This parameter is also an optional parameter. And it is the linewidth of the errorbar lines with default value NONE.
- step: This parameter is also an optional parameter. And it is used to define if the filling should be a step function or not.
Returns: This returns a PolyCollection containing the plotted polygons.
Below examples illustrate the matplotlib.axes.Axes.fill_between() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange( - 5 , 5 , 0.01 ) y1 = - 3 * x * x + 10 * x + 10 y2 = 3 * x * x + x fig, ax = plt.subplots() ax.plot(x, y1, x, y2, color = 'black' ) ax.fill_between(x, y1, y2, where = y2 >y1, facecolor = 'green' , alpha = 0.8 ) ax.fill_between(x, y1, y2, where = y2 < = y1, facecolor = 'black' , alpha = 0.8 ) ax.set_title( 'matplotlib.axes.Axes.fill_between Example1' ) plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange( 0.0 , 2 , 0.01 ) y1 = np.sin( 2 * np.pi * x) y2 = 0.8 * np.sin( 4 * np.pi * x) fig, (ax1, ax2, ax3, ax4) = plt.subplots( 4 , 1 , sharex = True , figsize = ( 6 , 6 )) ax1.fill_between(x, y1, facecolor = 'green' ) ax1.set_title( 'Fill_Between y1 and 0' ) ax2.fill_between(x, y1, 1 , facecolor = 'green' ) ax2.set_title( 'Fill_Between y1 and 1' ) ax3.fill_between(x, y1, y2, facecolor = 'green' ) ax3.set_title( 'Fill_Between y1 and y2' ) ax3.set_xlabel( 'x' ) fig.tight_layout() ax4.fill_between(x, y1, y2, where = y2 < = y1, facecolor = 'green' ) ax4.set_title( 'Fill_Between y1 and y2 with condition y2 <= y1 ' ) ax4.set_xlabel( 'x' ) fig.tight_layout() plt.show() |
Output: