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NumPy char | split method

NumPy
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Char
schedule Jul 1, 2022
Last updated
local_offer PythonNumPy
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Numpy's np.char.split(~) method takes as input an array of strings, and applies Python's split(~) method on each string. The split() method partitions a string with specified delimiter (i.e. separator).

Note that the original array is left intact, and a brand new copy of the array is returned.

Parameters

1. a | array-like

The input array whose strings you want converted to uppercase.

2. seplink | str or unicode | optional

The separator to use to split up the string. By default, sep=" " (i.e. a single space).

3. maxsplitlink | int | optional

The maximum number of splits to perform. The total number of partitions would be maxsplit+1. By default, there is no max limit set.

Return Value

A Numpy array of lists that contain the partitioned strings.

Examples

Splitting by space

To split by space, don't specify sep:

np.char.split(["Hello there", "I am a cat"])
array([list(['Hello', 'there']), list(['I', 'am', 'a', 'cat'])], dtype=object)

Notice how the return value is a Numpy array of lists containing the partitioned strings.

Specifying a delimiter

To split by comma:

np.char.split(["Hello,there", "I,am,a,cat"], sep = ',')
array([list(['Hello', 'there']), list(['I', 'am', 'a', 'cat'])], dtype=object)

Specifying maxsplit

Suppose we wanted to make a maximum of 2 splits:

np.char.split(["I am a cat"], maxsplit=2)
array([list(['I', 'am', 'a cat'])], dtype=object)

Without maxsplit, we would have obtained 4 partitions (i.e. 3 splits).

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Published by Isshin Inada
Edited by 0 others
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