numpy.fromstring() function – Python Last Updated : 18 Aug, 2020 Comments Improve Suggest changes Like Article Like Report numpy.fromstring() function create a new one-dimensional array initialized from text data in a string. Syntax : numpy.fromstring(string, dtype = float, count = -1, sep = ' ') Parameters : string : [str] A string that contained the data. dtype : [data-type, optional] Data-type of the array. Default data type is float. count : [int, optional] Number of items to read. If this is negative (the default), the count will be determined from the length of the data. sep : [str, optional] The string separating numbers in the data. Return : [ndarray] Return the constructed array. Code #1 : Python3 # Python program explaining # numpy.fromstring() function # importing numpy as geek import numpy as geek gfg = geek.fromstring('1 2 3 4 5', dtype = float, sep = ' ') print(gfg) Output : [1. 2. 3. 4. 5.] Code #2 : Python3 # Python program explaining # numpy.fromstring() function # importing numpy as geek import numpy as geek gfg = geek.fromstring('1 2 3 4 5 6', dtype = int, sep = ' ') print(gfg) Output : [1 2 3 4 5 6] Comment More infoAdvertise with us Next Article Python str() function S sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads Python str() function The str() function in Python is an in-built function that takes an object as input and returns its string representation. It can be used to convert various data types into strings, which can then be used for printing, concatenation, and formatting. Letâs take a simple example to converting an Intege 3 min read Python str() function The str() function in Python is an in-built function that takes an object as input and returns its string representation. It can be used to convert various data types into strings, which can then be used for printing, concatenation, and formatting. Letâs take a simple example to converting an Intege 3 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 Numpy - String Functions & Operations NumPy String functions belong to the numpy.char module and are designed to perform element-wise operations on arrays. These functions can help to handle and manipulate string data efficiently.Table of ContentString OperationsString Information String Comparison In this article, weâll explore the var 5 min read Numpy string operations | rindex() function numpy.core.defchararray.rindex() function, raises ValueError when the substring sub is not found. Calls str.rindex element-wise. Syntax : numpy.core.defchararray.rindex(arr, sub, start = 0, end = None) Parameters : arr : [array-like of str or unicode] Array-like of str . sub : [str or unicode] Input 1 min read numpy string operations | split() function numpy.core.defchararray.split(arr, sep=None, maxsplit=None) is another function for doing string operations in numpy.It returns a list of the words in the string, using sep as the delimiter string for each element in arr. Parameters: arr : array_like of str or unicode.Input array. sep : [ str or uni 2 min read Like