SciPy: A scientific computing package for Python

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Documentation is available in the docstrings and

online at https://docs.scipy.org.

Contents

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SciPy imports all the functions from the NumPy namespace, and in

addition provides:

Subpackages

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Using any of these subpackages requires an explicit import. For example,

``import scipy.cluster``.

::

cluster --- Vector Quantization / Kmeans

fftpack --- Discrete Fourier Transform algorithms

integrate --- Integration routines

interpolate --- Interpolation Tools

io --- Data input and output

linalg --- Linear algebra routines

linalg.blas --- Wrappers to BLAS library

linalg.lapack --- Wrappers to LAPACK library

misc --- Various utilities that don't have

another home.

ndimage --- n-dimensional image package

odr --- Orthogonal Distance Regression

optimize --- Optimization Tools

signal --- Signal Processing Tools

sparse --- Sparse Matrices

sparse.linalg --- Sparse Linear Algebra

sparse.linalg.dsolve --- Linear Solvers

sparse.linalg.dsolve.umfpack --- :Interface to the UMFPACK library:

Conjugate Gradient Method (LOBPCG)

sparse.linalg.eigen --- Sparse Eigenvalue Solvers

sparse.linalg.eigen.lobpcg --- Locally Optimal Block Preconditioned

Conjugate Gradient Method (LOBPCG)

spatial --- Spatial data structures and algorithms

special --- Special functions

stats --- Statistical Functions

Utility tools

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::

test --- Run scipy unittests

show_config --- Show scipy build configuration

show_numpy_config --- Show numpy build configuration

__version__ --- Scipy version string

__numpy_version__ --- Numpy version string