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numpy.core.defchararray.array(obj, itemsize=None, copy=True, unicode=None, order=None)[source] -
Create a
chararray.Note
This class is provided for numarray backward-compatibility. New code (not concerned with numarray compatibility) should use arrays of type
string_orunicode_and use the free functions innumpy.charfor fast vectorized string operations instead.Versus a regular Numpy array of type
strorunicode, 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.
str.endswith) and infix operators (e.g.+, *, %)
Parameters: obj : array of str or unicode-like
itemsize : int, optional
itemsizeis the number of characters per scalar in the resulting array. Ifitemsizeis None, andobjis an object array or a Python list, theitemsizewill be automatically determined. Ifitemsizeis provided andobjis of type str or unicode, then theobjstring will be chunked intoitemsizepieces.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
chararraycan contain Unicode characters, when false only 8-bit characters. If unicode isNoneandobjis one of the following:- a
chararray, - an ndarray of type
strorunicode - a Python str or unicode 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).
numpy.core.defchararray.array()
2025-01-10 15:47:30
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