numpy.core.defchararray.lstrip(arr, chars=None)
is another function for doing string operations in numpy. It returns a copy with the leading characters removed for each element in arr.
Parameters:
arr : array_like of str or unicode.
char : [str or unicode, optional] the set of characters to be removed. If omitted or None, it removes whitespace. The chars argument is not a prefix or suffix; it is all combinations of its values which we want to strip.Returns : [ndarray] Output array of str or unicode, depending on input type.
Code #1 :
# Python program explaining # numpy.char.lstrip() method import numpy as geek
# input arrays in_arr = geek.array([ 'Sun' , ' Moon ' , 'Star' ])
print ( "Input array : " , in_arr)
out_arr = geek.char.lstrip(in_arr)
# whitespace removed from arr[1] # as we have set chars = None print ( "Output array: " , out_arr)
|
Output:
Input array : ['Sun' ' Moon ' 'Star'] Output array: ['Sun' 'Moon' 'Star']
Code #2 :
# Python program explaining # numpy.char.lstrip() method import numpy as geek
# input arrays in_arr = geek.array([ 'Geeks' , 'For' , 'Geeks' ] )
print ( "Input array : " , in_arr)
out_arr = geek.char.lstrip(in_arr, chars = 'G' )
# 'G' removed from arr[0] and arr[2] # as we have set chars ='G' print ( "Output array: " , out_arr)
|
Output:
Input array : ['Geeks' 'For' 'Geeks'] Output array: ['eeks' 'For' 'eeks']
Code #3 :
# Python program explaining # numpy.char.lstrip() method import numpy as geek
# input arrays in_arr = geek.array([ 'Geeks' , 'For' , 'Geeks' ] )
print ( "Input array : " , in_arr)
out_arr = geek.char.lstrip(in_arr, chars = 's' )
print ( "Output array: " , out_arr)
# Arrays remain unchanged as there are # no strings which start with 's' |
Output:
Input array : ['Geeks' 'For' 'Geeks'] Output array: ['Geeks' 'For' 'Geeks']