NumPy: split() function
numpy.core.defchararray.split() function
For each element in a given array numpy.core.defchararray.split() function returns a list of the lines in the element, breaking at line boundaries.
Calls str.splitlines element-wise.
Version: 1.15.0
Syntax:
numpy.core.defchararray.split(a, sep=None, maxsplit=None)
Parameter:
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:
out [ndarray] Array of list objects.
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-1: numpy.split() function
>>> import numpy as np
>>> a = np.char.split('the quick brown fox')
>>> a
array(list(['the', 'quick', 'brown', 'fox']), dtype=object)
Example-2: numpy.split() function
>>> import numpy as np
>>> a = np.char.split('the:quick:brown:fox', ':')
>>> print(a)
['the', 'quick', 'brown', 'fox']
Pictorial Presentation:
Python - NumPy Code Editor:
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