NumPy: partition() function

numpy.core.defchararray.partition() function

The numpy.core.defchararray.partition() function is used to partition each element in a around sep.
Calls str.partition element-wise.
For each element in a, split the element as the first occurrence of sep, and return 3 strings containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return 3 strings containing the string itself, followed by two empty strings.

Version: 1.15.0

Syntax:

numpy.core.defchararray.partition(a, sep)

Parameter:

Return value:

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

Note:

The 'chararray' class exists for backwards compatibility with Numarray, it is not recommended for new development. Starting from numpy 1.4, if one needs arrays of strings, it is recommended to use arrays of 'dtype' 'object_', 'string_' or 'unicode_', and use the free functions in the 'numpy.char' module for fast vectorized string operations.

Some methods will only be available if the corresponding string method is available in your version of Python.

The preferred alias for 'defchararray' is 'numpy.char'.

Example: numpy.partition() function

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'] 

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