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Legacy fixed-width string functionality

doc/source/reference/routines.char.rst

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.. _routines.char:

Legacy fixed-width string functionality

.. currentmodule:: numpy.char

.. module:: numpy.char

.. legacy::

The string operations in this module are planned to be deprecated in the future, and the numpy.char.chararray class is deprecated in NumPy 2.5. Use numpy.strings instead.

The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_. For example

.. try_examples::

import numpy as np np.char.capitalize(["python", "numpy"]) array(['Python', 'Numpy'], dtype='<U6') np.char.add(["num", "doc"], ["py", "umentation"]) array(['numpy', 'documentation'], dtype='<U13')

The methods in this module are based on the methods in :py:mod:string

String operations

.. autosummary:: :toctree: generated/

add multiply mod capitalize center decode encode expandtabs join ljust lower lstrip partition replace rjust rpartition rsplit rstrip split splitlines strip swapcase title translate upper zfill

Comparison

Unlike the standard numpy comparison operators, the ones in the char module strip trailing whitespace characters before performing the comparison.

.. autosummary:: :toctree: generated/

equal not_equal greater_equal less_equal greater less compare_chararrays

String information

.. autosummary:: :toctree: generated/

count endswith find index isalpha isalnum isdecimal isdigit islower isnumeric isspace istitle isupper rfind rindex startswith str_len

Convenience class

.. autosummary:: :toctree: generated/

array asarray chararray