NumPy String: numpy.char.split() function

Last update on March 29 2023 09:22:59 (UTC/GMT +8 hours)

numpy.char.split() function

The numpy.char.split() function is used to split the string element-wise based on a specified delimiter or separator.

This function is useful in -

Cleaning and preprocessing text data for natural language processing tasks.
Separating data elements from raw text data files such as CSV files or log files

Syntax:

numpy.char.split(a, sep=None, maxsplit=None)

Parameters:

Name	Description	Required / Optional
a: array_like of str or unicode	Input an array_like of string or unicode.	Required
sep	If sep is not specified or None, any whitespace string is a separator.	Optional
maxsplit	If maxsplit is given, at most maxsplit splits are done.	Optional

Return value:

Array of list objects.

Example: Splitting a string into words using numpy.char.split()

>>> import numpy as np
>>> a = np.char.split('the quick brown fox')
>>> a
array(list(['the', 'quick', 'brown', 'fox']), dtype=object)

In the above example the numpy.char.split() function splits a string into individual words and the resulting output is an array of strings, where each string represents a word.

Example: Splitting a string with numpy.char.split()

>>> import numpy as np
>>> a = np.char.split('the:quick:brown:fox', ':')
>>> print(a)
['the', 'quick', 'brown', 'fox']

In the above example, the function numpy.char.split() splits the string 'the:quick:brown:fox' using ':' as a separator and returns a list of the resulting strings. The separator ':' is passed as an argument to the function to specify the splitting point.

Pictorial Presentation:

NumPy String operation: split() function

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