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.
Returns the directory containing NumPy C header files.
Classes specifying the information to be printed are defined in the
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
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 numpyor 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_dirsreports the original build time configuration as compiled with gcc/gfortran; at run time the OpenBLAS library is in
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’.
>>> 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']