Generate five random numbers from the normal distribution using NumPy

In Numpy we are provided with the module called random module that allows us to work with random numbers. The random module provides different methods for data distribution. In this article, we have to create an array of specified shape and fill it random numbers or values such that these values are part of a normal distribution or Gaussian distribution. This distribution is also called the Bell Curve this is because of its characteristics shape.

To generate five random numbers from the normal distribution we will use numpy.random.normal() method of the random module.  

Syntax: numpy.random.normal(loc = 0.0, scale = 1.0, size = None) 

Parameters:

loc: Mean of distribution



scale: Standard derivation 

size: Resultant shape.
If size argument is empty then by default single value is returned.

Example 1:

Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing module
import numpy as np
  
  
# numpy.random.normal() method
r = np.random.normal(size=5)
  
# printing numbers
print(r)

chevron_right


Output :

[ 0.27491897 -0.18001994 -0.01783066  1.07701319 -0.11356911]

Example 2:

Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing module
import numpy as np
  
  
# numpy.random.normal() method
random_array = np.random.normal(0.0, 1.0, 5)
  
# printing 1D array with random numbers
print("1D Array with random values : \n", random_array)

chevron_right


Output :

1D Array with random values :
[ 0.14559212  1.97263406  1.11170937 -0.88192442  0.8249291 ]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

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 :

1


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