Matplotlib.pyplot.fill_between() in Python

Last Updated : 25 Apr, 2025

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.

matplotlib.pyplot.fill_between()

The matplotlib.pyplot.fill_between() is used to fill area between two horizontal curves. Two points (x, y1) and (x, y2) define the curves. this creates one or more polygons describing the filled areas. The ‘where’ parameter can be used to selectively fill some areas. By default, edges connect the given points directly. The ‘step’ parameter is used if the filling needs to be a step function.

Syntax: matplotlib.pyplot.fill_between(x, y1, y2=0, where=None, step=None, interpolate=False, *, data=None, **kwargs) Parameters:

x: It is array of length N. These are the y coordinates of the nodes that define the curves.
y1:It is an array of length N or a scalar. This represents the x coordinates of the nodes that define the first curve.
y2: It is an array of length N and is optional in nature. Its default value is 0. This represents the x coordinates of the nodes that define the second curve.
where: it is an array of boolean values of length N. It is defined if there is a need to exclude some vertical regions from being filled. It is important to note that this definition means that an isolated true value in between two false values is where it will not do the filling. Adjacent False values results in not filling both sides of the True value.
interpolate: It is an optional parameter that accepts boolean values. It is only relevant if where is used and two curves are crossing each other. Semantically where if generally used for y1>y2 or similar cases. By default the filled regions will be placed at the x-array positions defining a filled polygonal area. The section of x that has the intersection are simply clipped. Setting this parameter to True results in calculation of the actual point of intersection and extends to the filled regions till the points.
step: This is an optional parameter that accepts one of the three values namely, ‘pre’, ‘post’ and ‘mid’. This is used to specify where the steps will occur.
pre: From every y position the x value is continued constantlyto the left, ie, the interval (x[i-1], x[i]) has the value y[i].
post:From every y position the x value is continued constantly to the right, ie, the interval (x[i], x[i+1]) has the value y[i].
mid: Half way between the x positions these steps occur.

Returns: It returns a plotted polygon from the PolyCollection.

other Parameters: **kwargs contains keywords from PolyCollection that controls the polygon properties;

Property	Description
agg_filter	a filter function that takes a (m, n, 3) float array and a dpi value that returns a (m, n, 3) array
alpha	float or None
animated	bool
array	ndarray
capstyle	{‘butt’, ’round’, ‘projecting’}
clim	a length 2 sequence of floats; may be overridden in methods that have vmin and vmax kwargs.
cmap	colormap or registered colormap
antialiased or aa or antialiaseds	bool or sequence of bools
clip_box	Bbox
clip_on	bool
clip_path	[(Path, Transform)\|Patch\|None]
color	color or sequence of rgba tuples
contains	callable
edgecolor or ec or edgecolors	color or sequence of colors or ‘face’
facecolor or fc or facecolors	color or sequence of colors
figure	figure
gid	str
hatch	{‘/’, ‘\’, ‘\|’, ‘-‘, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’}
in_layout	bool
joinstyle	{‘miter’, ’round’, ‘bevel’}
linestyle or ls or linestyles or dashes	{‘-‘, ‘–‘, ‘-.’, ‘:’, ”, (offset, on-off-seq), …}
linewidth or linewidths or lw	float or sequence of floats
norm	Normalize
offset_position	{‘screen’, ‘data’}
offsets	float or sequence of floats
path_effects	AbstractPathEffect
picker	None or bool or float or callable
pickradius	unknown
path_effects	AbstractPathEffect
picker	float or callable[[Artist, Event], Tuple[bool, dict]]
pickradius	float
rasterized	bool or None
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
transform	matplotlib.transforms.Transform
url	str
urls	List[str] or None
visible	bool
xdata	1D array
zorder	float

Example 1:

Python3

import matplotlib.pyplot as plt
import numpy as np
 
x = np.arange(0,10,0.1)
 
# plotting the lines
a1 = 4 - 2*x
a2 = 3 - 0.5*x
a3 = 1 -x
 
# The upper edge of
# polygon
a4 = np.minimum(a1, a2)
 
# Setting the y-limit
plt.ylim(0, 5)
 
# Plot the lines
plt.plot(x, a1,
        x, a2,
        x, a3)
 
# Filling between line a3 
# and line a4
plt.fill_between(x, a3, a4, color='green',
                 alpha=0.5)
plt.show()

Output: python-matplotlib-find-between-1 Example 2:

Python3

import matplotlib.pyplot as plt
import numpy as np
 
 
a = np.linspace(0,2*3.14,50)
b = np.sin(a)
 
plt.fill_between(a, b, 0,
                 where = (a > 2) & (a <= 3),
                 color = 'g')
plt.plot(a,b)