numpy.full_like() in Python The full_like() method of Python numpy class returns a full array with the same shape and type as a given array. Syntax
numpy.full_like(a, fill_value, dtype=None, order='K', subok=True)
Parameter shape :This parameter represents the number of rowsorder :The order parameter can be either C_contiguous or F_contiguous.dtype :It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.subok :It is used to make subclass of ‘a’ or not. It is an optional parameter, and by default, it is Boolean. Return This method returns a new array(ndarray). Example 1
# Python Programming giving an example for
# numpy.full_like() method
importnumpy as numpy
n = numpy.arange(10, dtype = int).reshape(2, 5)
print("Object1 before full_like : \n", n)
# using full_like
print("\nObject2 after full_like : \n", numpy.full_like(n, 10.0))
Output Object1 before full_like :
[[0 1 2 3 4]
[5 6 7 8 9]]
Object2 after full_like :
[[10 10 10 10 10]
[10 10 10 10 10]]
