numpy 1.22.4 Pypi GitHub Homepage
Other Docs
BackRef
note

The :None:None:`chararray` class exists for backwards compatibility with Numarray, it is not recommended for new development. Starting from numpy 1.4, if one needs arrays of strings, it is recommended to use arrays of :None:None:`dtype` :None:None:`object_`, :None:None:`string_` or :None:None:`unicode_`, and use the free functions in the :None:None:`numpy.char` module for fast vectorized string operations.

Some methods will only be available if the corresponding string method is available in your version of Python.

The preferred alias for defchararray is numpy.char .

This module contains a set of functions for vectorized string operations and methods.

This module contains a set of functions for vectorized string operations and methods.

note

The :None:None:`chararray` class exists for backwards compatibility with Numarray, it is not recommended for new development. Starting from numpy 1.4, if one needs arrays of strings, it is recommended to use arrays of :None:None:`dtype` :None:None:`object_`, :None:None:`string_` or :None:None:`unicode_`, and use the free functions in the :None:None:`numpy.char` module for fast vectorized string operations.

Some methods will only be available if the corresponding string method is available in your version of Python.

The preferred alias for defchararray is numpy.char .

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.core.defchararray

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /numpy/core/defchararray.py#0
type: <class 'module'>
Commit: