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
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
.
Last Updated :
09 Mar, 2022
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...