How to split the element of a given NumPy array with spaces?
To split the elements of a given array with spaces we will use numpy.char.split(). It is a function for doing string operations in NumPy. It returns a list of the words in the string, using sep as the delimiter string for each element in arr.
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 : how many maximum splits to do.
Returns : [ndarray] Output Array containing of list objects.
Example 1:
Python3
import numpy as np
array = np.array([ 'PHP C# Python C Java C++' ], dtype = np. str )
print (array)
sparr = np.char.split(array)
print (sparr)
|
Output :
['PHP C# Python C Java C++']
[list(['PHP', 'C#', 'Python', 'C', 'Java', 'C++'])]
Time Complexity: O(1) – The time complexity of importing a module is considered constant time.
Auxiliary Space: O(1) – The original array and split array are both stored in memory, which does not change with the size of the input. Therefore, the auxiliary space is constant.
Example 2:
Python3
import numpy as np
array = np.array([ 'Geeks For Geeks' ], dtype = np. str )
print (array)
sparr = np.char.split(array)
print (sparr)
|
Output:
['Geeks For Geeks']
[list(['Geeks', 'For', 'Geeks'])]
Time complexity: O(n), where n is the length of the input array.
Auxiliary space: O(n), where n is the length of the input array.
Example 3:
Python3
import numpy as np
array = np.array([ 'DBMS OOPS DS' ], dtype = np. str )
print (array)
sparr = np.char.split(array)
print (sparr)
|
Output:
['DBMS OOPS DS']
[list(['DBMS', 'OOPS', 'DS'])]
The time complexity of the code is O(n), where n is the length of the input string.
The auxiliary space complexity of the code is O(n),
Last Updated :
23 Feb, 2023
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