NumPy String: numpy.char.partition() function

numpy.char.partition() function

The numpy.char.partition() function is used to partition the elements of a string array or a single string around a specified separator (substring).

This function is useful in -

• Text processing: In natural language processing or text analysis tasks, we may need to split string arrays into parts based on a specific separator for further analysis, manipulation, or processing.
• Data preprocessing: When working with data containing string arrays, we may need to partition the elements based on a specific separator to extract meaningful information or to restructure the data for further analysis.
• Data cleaning: In some cases, we may need to correct inconsistencies within a dataset by partitioning string elements around a specific separator and extracting relevant information

Syntax:

numpy.char.partition(a, sep)

Parameters:

Return value:

Output array of str or unicode, depending on input type. The output array will have an extra dimension with 3 elements per input element.

Example: Partitioning strings using NumPy char.partition()

import numpy as np
x = "Python Exercises, Practice, Solution"
print("Original string:")
print(x)
print("\nHere separator is 'Practice'")
print(np.char.partition(x, 'Practice'))
print("\nHere separator is 'Exercises'")
print(np.char.partition(x, 'Exercises'))
print("\nHere separator is ','")
print(np.char.partition(x, ','))

Output:

Original string:
Python Exercises, Practice, Solution

Here separator is 'Practice'
['Python Exercises, ' 'Practice' ', Solution']

Here separator is 'Exercises'
['Python ' 'Exercises' ', Practice, Solution']

Here separator is ','
['Python Exercises' ',' ' Practice, Solution'] 

In the above example, the numpy.char.partition() function is used to demonstrate how to partition a string around different specified separators using NumPy.

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