numpy.full() in Python

numpy.full() in Python

Last Updated : 09 Mar, 2022

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

# 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 online IDE's, so run them on your systems to explore them .

numpy.full() in Python

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Mohit Gupta

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