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://numpy.org/doc/stable/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
.