numpy.defchararray.center() in Python Last Updated : 18 Feb, 2022 Comments Improve Suggest changes Like Article Like Report numpy.core.defchararray.center(arr, width, fillchar): Centers the element of the string element-wise. Parameters: arr : array-like or string. width : Length of resulting string. fillchar : Padding character. Default is space.Returns : Copy of array with centered string. Code #1: Python3 # Python Program illustrating # numpy.char.center() method import numpy as np arr1 = ['eAAAa', 'ttttds', 'AAtAAt'] print ("arr1 : ", arr1) print ("\narr1 : ", np.char.center(arr1, 7, fillchar ='z')) print ("\narr1 : ", np.char.center(arr1, [9, 9, 11], fillchar =['z', '1', '3'])) print ("\narr1 : ", np.char.center(arr1, 11, fillchar ='z')) Output: arr1 : ['eAAAa', 'ttttds', 'AAtAAt'] centered arr1 : ['zeAAAaz' 'zttttds' 'zAAtAAt'] centered arr1 : ['zzeAAAazz' '11ttttds1' '333AAtAAt33'] centered arr1 : ['zzzeAAAazzz' 'zzzttttdszz' 'zzzAAtAAtzz'] Code #2: Python3 # Python Program illustrating # numpy.char.center() method import numpy as np arr2 = ['11sf', 'sdsf2', '1111f2'] print ("arr2 : ", arr2) # Will throw Error print ("\narr2 : ", np.char.center(arr2)) Output: arr2 : ['11sf', 'sdsf2', '1111f2'] TypeError: center() missing 1 required positional argument: 'width' Comment More infoAdvertise with us Next Article numpy.defchararray.center() in Python mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-String Operation Practice Tags : python Similar Reads numpy.defchararray.decode() in Python numpy.core.defchararray.decode(arr, encoding): This numpy function decode the string(object) based on the specified codec. Parameters: arr : array-like or string. encoding : [str] Name of codec being followed. error : Specifying how to handle error. Returns : Decoded string Code: Python3 1== # Pytho 1 min read numpy.defchararray.add() in Python numpy.core.defchararray.add(arr1, arr2): Concatenates two strings element-wise. Parameters: arr1 : array-like or string. arr2 : array-like or string. Returns : Concatenates String. Code #1: Python3 1== # Python Program illustrating # numpy.char.add() method import numpy as np arr1 = ['vdteteAAAa', ' 1 min read numpy.defchararray.capitalize() in Python numpy.core.defchararray.multiply(arr, n): Capitalizes the first letter of string element-wise. Parameters: arr : array-like or string. Returns : Capitalized first letter of the string. Code #1: Python3 1== # Python Program illustrating # numpy.char.capitalize() method import numpy as np arr1 = ['eAA 1 min read numpy.defchararray.encode() in Python numpy.core.defchararray.encode(arr, encoding): This numpy function encodes the string(object) based on the specified codec. Parameters: arr : array-like or string. encoding : [str] Name of encoding being followed. error : Specifying how to handle error. Returns : Encoded string Code:Â Python3 # Pyth 1 min read numpy.defchararray.multiply() in Python numpy.core.defchararray.multiply(arr, n): Concatenates strings 'n' times element-wise. Parameters: arr : array-like or string. n : [array-like] no. of times we want to concatenate. Returns : Concatenated String 'n' times element-wise. Code #1: Python3 1== # Python Program illustrating # numpy.char.m 1 min read numpy.asarray() in Python numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and arrays. Syntax : numpy.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a 2 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read numpy.array_str() in Python numpy.array_str()function is used to represent the data of an array as a string. The data in the array is returned as a single string. This function is similar to array_repr, the difference being that array_repr also returns information on the kind of array and its data type. Syntax : numpy.array_st 2 min read numpy.array_repr() in Python numpy.array_repr()function is used to convert an array to a string. Syntax : numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) Parameters : arr : [array_like] Input array. max_line_width : [int, optional] The maximum number of columns the string should span. Newline cha 2 min read Python | Numpy numpy.ndarray.__lshift__() With the help of Numpy numpy.ndarray.__lshift__() method, we can get the elements that is left shifted by the value that is provided as a parameter in numpy.ndarray.__lshift__() method. Syntax: ndarray.__lshift__($self, value, /) Return: self<<value Example #1 : In this example we can see that 1 min read Like