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_OMG 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 Python | numpy.lookfor() method With the help of numpy.lookfor() method, we can get the information about the module in the numpy by using numpy.lookfor() method. Syntax : numpy.lookfor(module_name) Return : Return the information about the module. Example #1 : In this example we can see that by using numpy.lookfor() method, we ar 1 min read numpy.typename() function – Python numpy.typename() function return a description for the given data type code. Syntax : numpy.typename(char) Parameters : char : [str] Data type code. Return : [str] Description of the input data type code. Code #1 : Python3 # Python program explaining # numpy.typename() function # importing numpy as 2 min read re.fullmatch() function in Python re.fullmatch() returns a match object if and only if the entire string matches the pattern. Otherwise, it will return None. The flag at the end is optional and can be used to ignore cases etc. Syntax: re.fullmatch(pattern, string, flags=0) Parameters: pattern: the regular expression pattern that you 1 min read re.findall() in Python re.findall() method in Python helps us find all pattern occurrences in a string. It's like searching through a sentence to find every word that matches a specific rule. We can do this using regular expressions (regex) to create the pattern and then use re.findall() to get a list of matches.Let's say 2 min read numpy string operations | index() function numpy.core.defchararray.index(arr, sub, start=0, end=None) is another function for doing string operations in numpy. It returns the lowest index in the string where substring sub is found for each element in arr. It returns value error if sub is not contained within the range [start, end]. Parameter 2 min read Like