numpy.show_config#

numpy.show_config()[source]#

Show libraries in the system on which NumPy was built.

Print information about various resources (libraries, library directories, include directories, etc.) in the system on which NumPy was built.

See also

get_include: Returns the directory containing NumPy C header files.

Notes

Classes specifying the information to be printed are defined in the numpy.distutils.system_info module.

Information may include:
- language: language used to write the libraries (mostly C or f77)
- libraries: names of libraries found in the system
- library_dirs: directories containing the libraries
- include_dirs: directories containing library header files
- src_dirs: directories containing library source files
- define_macros: preprocessor macros used by distutils.setup
- baseline: minimum CPU features required
- found: dispatched features supported in the system
- not found: dispatched features that are not supported in the system
NumPy BLAS/LAPACK Installation Notes

Installing a numpy wheel (pip install numpy or force it via pip install numpy --only-binary :numpy: numpy) includes an OpenBLAS implementation of the BLAS and LAPACK linear algebra APIs. In this case, library_dirs reports the original build time configuration as compiled with gcc/gfortran; at run time the OpenBLAS library is in site-packages/numpy.libs/ (linux), or site-packages/numpy/.dylibs/ (macOS), or site-packages/numpy/.libs/ (windows).

Installing numpy from source (pip install numpy --no-binary numpy) searches for BLAS and LAPACK dynamic link libraries at build time as influenced by environment variables NPY_BLAS_LIBS, NPY_CBLAS_LIBS, and NPY_LAPACK_LIBS; or NPY_BLAS_ORDER and NPY_LAPACK_ORDER; or the optional file ~/.numpy-site.cfg. NumPy remembers those locations and expects to load the same libraries at run-time. In NumPy 1.21+ on macOS, ‘accelerate’ (Apple’s Accelerate BLAS library) is in the default build-time search order after ‘openblas’.

Examples

>>> import numpy as np
>>> np.show_config()
blas_opt_info:
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']

numpy.get_include

numpy.deprecate