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numpy.char.array
- char.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
-
- objarray of str or unicode-like
- itemsizeint, 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. - copybool, 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.). - unicodebool, optional
-
When true, the resulting
chararraycan contain Unicode characters, when false only 8-bit characters. If unicode is None andobjis one of the following: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).
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https://numpy.org/doc/1.23/reference/generated/numpy.char.array.html