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operations with empty strings | rsplit () function

numpy.core.defchararray.rsplit (arr, sep = None, maxsplit = None) — another function to do string operations in numpy. Returns a list of words in a string, using sep as the separator string for each element in arr. The rsplit () method splits each element of the string array into a list starting from the right, while the split () method splits each element of the string array starting from the left.

Parameters:
arr: array_like of str or unicode.Input array.
sep: [str or unicode, optional] specifies the separator to use when splitting the string.
maxsplit: [int, optional] how many maximum splits to do.

Returns: [ndarray] Output Array containing of list objects.

Code # 1:

# Python program explaining
# numpy.char.rsplit () method

 
# numpy imports

imp ort numpy as geek

 
# input array

in_arr = geek.array ([ ’geeks for geeks’ ])

print ( "Input array:" , in_arr ) 

 
# output array

out_arr = geek.char.rsplit (in_arr)

print ( "Output splitted array:" , out_arr) 

Output:

 Input array: [’geeks for geeks’] Output splitted array: [ [’geeks’,’ for’, ’geeks’]] 

Code # 2:

# Python program explaining
# numpy.char.rsplit () method

  
# numpy import

import numpy as geek

 
# input array

in_arr = geek.array ([ ’Num-py’ , ’ Py-th-on’ , ’Pan-das’ ])

print ( "Input array:"  , in_arr) 

 

 
# output array

out_arr = geek.char.rsplit (in_arr, sep = ’ -’ )

print ( "Output splitted array:" , out_arr) 

Output :

 Input array: [’Num-py’’ Py-th-on’ ’Pan -das’] Output splitted array: [[’Num’,’ py’] [’Py’,’ th’, ’on’] [’ Pan’, ’das’]] 

Code # 3:

# Python program explaining
# nu mpy.char.rsplit () method

 
# numpy import

import numpy as geek

 
# input array

in_arr = geek.array ([ ’ Num-py’ , ’Py-th-on’ , ’ Pan-das’ ])

print ( "Input array:" , in_arr) 

 

 
# output array at maximum splitting
# of each item array is equal to 1

out_arr = geek. char.rsplit (in_arr, sep = ’-’ , maxsplit = 1 )

print ( "Output splitted array:" , out_arr) 

Exit:

 Input array: [’Num-py’’ Py-th-on’ ’Pan-das’] Output splitted array: [[’ Num’, ’py’] [’ Py-th’, ’on’] [’ Pan’, ’das’]] 

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