Skip to content
Related Articles

Related Articles

Improve Article

numpy.full() in Python

  • Last Updated : 29 Nov, 2018
Geek Week

numpy.full(shape, fill_value, dtype = None, order = ‘C’) : Return a new array with the same shape and type as a given array filled with a fill_value.
Parameters :

shape      : Number of rows
order      : C_contiguous or F_contiguous
dtype      : [optional, float(by Default)] Data type of returned array.  
fill_value : [bool, optional] Value to fill in the array.

Returns :

ndarray




# Python Programming illustrating
# numpy.full method
  
import numpy as geek
  
a = geek.full([2, 2], 67, dtype = int)
print("\nMatrix a : \n", a)
  
c = geek.full([3, 3], 10.1)
print("\nMatrix c : \n", c)

Output :


Matrix a : 
 [[67 67]
 [67 67]]

Matrix c : 
 [[ 10.1  10.1  10.1]
 [ 10.1  10.1  10.1]
 [ 10.1  10.1  10.1]]

References :
https://docs.scipy.org/doc/numpy/reference/generated/numpy.full.html#numpy.full
Note :
These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them
.
This article is contributed by Mohit Gupta_OMG 😀. 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 write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

 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. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :