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`]]