`numpy.char:array`

source: build-install/usr/lib/python3.14/site-packages/numpy/_core/defchararray.py :1213

Signature

   def     array (    obj    ,    itemsize    =  None   ,    copy    =  True   ,    unicode    =  None   ,    order    =  None     )

Summary

Create a chararray.

Extended Summary

Versus a NumPy array of dtype bytes_ or str_, this class adds the following functionality:

values automatically have whitespace removed from the end when indexed
comparison operators automatically remove whitespace from the end when comparing values
vectorized string operations are provided as methods (e.g. chararray.endswith <numpy.char.chararray.endswith>) and infix operators (e.g. +, *, %)

Parameters

obj : array of str or unicode-like

itemsize : int, optional

itemsize is the number of characters per scalar in the resulting array. If itemsize is None, and obj is an object array or a Python list, the itemsize will be automatically determined. If itemsize is provided and obj is of type str or unicode, then the obj string will be chunked into itemsize pieces.

copy : bool, optional

If true (default), then the object is copied. Otherwise, a copy will only be made if __array__ returns a copy, if obj is a nested sequence, or if a copy is needed to satisfy any of the other requirements (itemsize, unicode, order, etc.).

unicode : bool, optional

When true, the resulting chararray can contain Unicode characters, when false only 8-bit characters. If unicode is None and obj is one of the following:

a chararray,
an ndarray of type str_ or bytes_
a Python str or bytes object,

then the unicode setting of the output array will be automatically determined.

order : {'C', 'F', 'A'}, optional

Specify the order of the array. If order is 'C' (default), then the array will be in C-contiguous order (last-index varies the fastest). If order is 'F', then the returned array will be in Fortran-contiguous order (first-index varies the fastest). If order is 'A', then the returned array may be in any order (either C-, Fortran-contiguous, or even discontiguous).

Examples

import numpy as np
char_array = np.char.array(['hello', 'world', 'numpy','array'])
char_array