numpy.core.defchararray.translate(arr, table, deletechars=None)
is another function for doing string operations in numpy. For each element in arr, it returns a copy of the string where all characters occurring in the optional argument deletechars are removed, and the remaining characters have been mapped through the given translation table. If there are more than one values to be translated, a dictionary is passed to maketrans function to create a translation table.
Parameters:
arr : array_like of str or unicode.Input array.
table : Translate mapping specified to perform translations.
deletechars : String type, characters to be deleted.Returns : [ndarray] Output array of str or unicode with translated values.
Code #1 :
# Python program explaining # numpy.core.defchararray.translate() method # importing numpy import numpy as geek # input array in_arr = geek.array([ 'Weeks' , 'our' , 'Weeks' ]) print ( "Input original array : " , in_arr) # creating dictionary for translation table trans_dict = { "W" : "G" , "o" : "f" , "u" : "o" } # creating translation table from dictionary trans_table = "Wou" .maketrans(trans_dict) out_arr = geek.core.defchararray.translate(in_arr, trans_table, deletechars = "None" ) print ( "Output translated array: " , out_arr) |
Input original array : ['Weeks' 'our' 'Weeks'] Output translated array: ['Geeks' 'for' 'Geeks']