Main namespaces

Regular/recommended user-facing namespaces for general use:

• numpy
• numpy.exceptions
• numpy.fft
• numpy.linalg
• numpy.polynomial
• numpy.random
• numpy.strings
• numpy.testing
• numpy.typing

Special-purpose namespaces

• numpy.ctypeslib - interacting with NumPy objects with ctypes
• numpy.dtypes - dtype classes (typically not used directly by end users)
• numpy.emath - mathematical functions with automatic domain
• numpy.lib - utilities & functionality which do not fit the main namespace
• numpy.rec - record arrays (largely superseded by dataframe libraries)
• numpy.version - small module with more detailed version info

Legacy namespaces

Prefer not to use these namespaces for new code. There are better alternatives and/or this code is deprecated or isn’t reliable.

• numpy.char - legacy string functionality, only for fixed-width strings
• numpy.distutils (deprecated) - build system support
• numpy.f2py - Fortran binding generation (usually used from the command line only)
• numpy.ma - masked arrays (not very reliable, needs an overhaul)
• numpy.matlib (pending deprecation) - functions supporting matrix instances