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
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