numpy.full_like() in Python Last Updated : 09 Mar, 2022 Comments Improve Suggest changes Like Article Like Report The numpy.full_like() function return a new array with the same shape and type as a given array.Syntax : numpy.full_like(a, fill_value, dtype = None, order = 'K', subok = True) Parameters : shape : Number of rows order : C_contiguous or F_contiguous dtype : [optional, float(by Default )] Data type of returned array. subok : [bool, optional] to make subclass of a or not Returns : ndarray Python # Python Programming illustrating # numpy.full_like method import numpy as geek x = geek.arange(10, dtype = int).reshape(2, 5) print("x before full_like : \n", x) # using full_like print("\nx after full_like : \n", geek.full_like(x, 10.0)) y = geek.arange(10, dtype = float).reshape(2, 5) print("\n\ny before full_like : \n", x) # using full_like print("\ny after full_like : \n", geek.full_like(y, 0.01)) Output : x before full_like : [[0 1 2 3 4] [5 6 7 8 9]] x after full_like : [[10 10 10 10 10] [10 10 10 10 10]] y before full_like : [[0 1 2 3 4] [5 6 7 8 9]] y after full_like : [[ 0.01 0.01 0.01 0.01 0.01] [ 0.01 0.01 0.01 0.01 0.01]] References : https://docs.scipy.org/doc/numpy/reference/generated/numpy.full_like.html#numpy.full_like Note : These codes won’t run on online IDE's. So please, run them on your systems to explore the working. Comment More infoAdvertise with us Next Article numpy.full_like() in Python M Mohit Gupta Improve Article Tags : Python Practice Tags : python Similar Reads numpy.empty_like() in Python numpy.empty_like(a, dtype = None, order = 'K', subok = True) : Return a new array with the same shape and type as a given array. Parameters : shape : Number of rows order : C_contiguous or F_contiguous dtype : [optional, float(by Default)] Data type of returned array. subok : [bool, optional] to mak 1 min read numpy.find() in Python numpy.core.defchararray.find(arr, substring, start=0, end=None): Finds the lowest index of the sub-string in the specified range. Parameters: arr : array-like or string to be searched. substring : substring to search for. start, end : [int, optional] Range to search in. Returns : An integer array wi 1 min read numpy.ones_like() in Python The numpy.one_like() function returns an array of given shape and type as a given array, with ones. Syntax: numpy.ones_like(array, dtype = None, order = 'K', subok = True) Parameters : array : array_like input subok : [optional, boolean]If true, then newly created array will be sub-class of array; o 2 min read numpy.index() in Python numpy.core.defchararray.index(arr, substring, start=0, end=None): Finds the lowest index of the sub-string in the specified range But if substring is not found, it raises ValueError. Parameters: arr : array-like or string to be searched. substring : substring to search for. start, end : [int, option 1 min read Numpy str_len() function numpy.char.str_len(arr) function is used for doing string operations in numpy. It returns the length of every string element wise. Parameters: arr : array_like of str or unicode.Input array. Returns : [ndarray] Output Array of integer. Code #1 : Python3 # Python program explaining # numpy.char.str_l 1 min read Like