How to shade region under the curve in matplotlib
PythonNumpyMatplotlibPython Problem Overview
I want to use matplotlib to illustrate the definite integral between two regions: x_0, and x_1.
How can I shade a region under a curve in matplotlib from x=-1, to x=1 given the following plot
import numpy as np
from matplotlib import pyplot as plt
def f(t):
return t * t
t = np.arange(-4,4,1/40.)
plt.plot(t,f(t))
Python Solutions
Solution 1 - Python
The final answer I came up with is to use fill_between
.
I thought there would have been a simple shade between type method, but this does exactly what I want.
section = np.arange(-1, 1, 1/20.)
plt.fill_between(section,f(section))
Solution 2 - Python
Solution 3 - Python
A good way to do this a way that fit our datas is to use the fill_between
function from pyplot.
To fill the desired area under the curve, i recommend using the where
argument that provide a filter that fit your data:
import numpy as np
from matplotlib import pyplot as plt
def f(t):
return t * t
t = np.arange(-4,4,1/40)
#Print the curve
plt.plot(t,f(t))
#Fill under the curve
plt.fill_between(
x= t,
y1= f(t),
where= (-1 < t)&(t < 1),
color= "b",
alpha= 0.2)
plt.show()
You can play around with alpha (opacity) et color to make it look better. Here is the desired result :
The document of fill_between is available here : https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.pyplot.fill_between.html