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 :
ndarrayPython
# 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 .
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