numpy.trapz() function | Python

numpy.trapz() function integrate along the given axis using the composite trapezoidal rule.

Syntax : numpy.trapz(y, x = None, dx = 1.0, axis = -1)

Parameters :
y : [array_like] Input array to integrate.
x : [array_like, optional] The sample points corresponding to the y values. If x is None, the sample points are assumed to be evenly spaced dx apart. The default is None.
dx : [scalar, optional] The spacing between sample points when x is None. The default is 1.
axis : [int, optional] The axis along which to integrate.



Return :
trapz: [float] Definite integral as approximated by trapezoidal rule.

Code #1 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python program explaining
# numpy.trapz() function
  
# importing numpy as geek  
import numpy as geek
  
y = [1, 2, 3, 4]
  
gfg = geek.trapz( y )
  
print (gfg)

chevron_right


Output :

7.5

 
Code #2 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python program explaining
# numpy.trapz() function
  
# importing numpy as geek  
import numpy as geek
  
y = [1, 2, 3, 4]
x = [5, 6, 7, 8]
  
gfg = geek.trapz(y, x)
  
print (gfg)

chevron_right


Output :

7.5

 
Code #3 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python program explaining
# numpy.trapz() function
  
# importing numpy as geek  
import numpy as geek
  
y = [1, 2, 3, 4]
  
  
gfg = geek.trapz(y, dx = 2)
  
print (gfg)

chevron_right


Output :

15.0



My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.


Article Tags :

Be the First to upvote.


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.