NumPy Tutorial · NumPy ufunc

ufunc Products

Learn all about ufunc Products in this comprehensive tutorial.

5 min read advanced

Products

To find the product of the elements in an array, use the prod() function.

python

import numpy as nparr = np.array([1, 2, 3, 4])val_1 = np.prod(arr)print(val_1)

Note: Returns: 24 because 1*2*3*4 = 24

python

import numpy as nparr1 = np.array([1, 2, 3, 4])arr2 = np.array([5, 
  6, 7, 8])val_1 = np.prod([arr1, arr2])print(val_1)

Note: Returns: 40320 because 1*2*3*4*5*6*7*8 = 40320

If you specify axis=1, NumPy will return the product of each array.

python

import numpy as nparr1 = np.array([1, 2, 3, 4])arr2 = np.array([5, 
  6, 7, 8])newarr = np.prod([arr1, arr2], axis=1)print(newarr)

Note: Returns: [24 1680]

Cummulative product means taking the product partially.

E.g. The partial product of [1, 2, 3, 4] is [1, 1*2, 1*2*3, 1*2*3*4] = [1, 2, 6, 24]

Perfom partial sum with the cumprod() function.

python

import numpy as nparr = np.array([5, 
  6, 7, 8])newarr = np.cumprod(arr)
print(newarr)

Note: Returns: [5 30 210 1680]

2 questions

Which of the following is true about ufunc Products?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with ufunc Products?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.