numpy.ones_like() in Python

The one_like() method of Python numpy class returns an array of ones with the same shape and type as the specified array.



The numpy.ones_like() method consists of four parameters, which are as follows:

arrray : It indicates the array_like input.

subok  : It is an optional Boolean argument that is used to make a subclass of type ‘a’ or not. By default, it is true.

order  : The order parameter can be either C_contiguous or F_contiguous. C order means that operating row-rise on the array will be slightly quicker

FORTRAN-contiguous order in memory (the first index varies the fastest). F order means that column-wise operations will be faster.

dtype  : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.


This method returns the array with the specified shape, order and datatype.

Example 1


Pin It on Pinterest

Share This