123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123 |
- """
- SciPy: A scientific computing package for Python
- ================================================
- Documentation is available in the docstrings and
- online at https://docs.scipy.org.
- Contents
- --------
- SciPy imports all the functions from the NumPy namespace, and in
- addition provides:
- Subpackages
- -----------
- 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
- signal.windows --- Window functions
- 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
- -------------
- ::
- 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
- """
- from __future__ import division, print_function, absolute_import
- __all__ = ['test']
- from numpy import show_config as show_numpy_config
- if show_numpy_config is None:
- raise ImportError(
- "Cannot import scipy when running from numpy source directory.")
- from numpy import __version__ as __numpy_version__
- # Import numpy symbols to scipy name space
- import numpy as _num
- linalg = None
- from numpy import *
- from numpy.random import rand, randn
- from numpy.fft import fft, ifft
- from numpy.lib.scimath import *
- # Allow distributors to run custom init code
- from . import _distributor_init
- __all__ += _num.__all__
- __all__ += ['randn', 'rand', 'fft', 'ifft']
- del _num
- # Remove the linalg imported from numpy so that the scipy.linalg package can be
- # imported.
- del linalg
- __all__.remove('linalg')
- # We first need to detect if we're being called as part of the scipy
- # setup procedure itself in a reliable manner.
- try:
- __SCIPY_SETUP__
- except NameError:
- __SCIPY_SETUP__ = False
- if __SCIPY_SETUP__:
- import sys as _sys
- _sys.stderr.write('Running from scipy source directory.\n')
- del _sys
- else:
- try:
- from scipy.__config__ import show as show_config
- except ImportError:
- msg = """Error importing scipy: you cannot import scipy while
- being in scipy source directory; please exit the scipy source
- tree first, and relaunch your python interpreter."""
- raise ImportError(msg)
- from scipy.version import version as __version__
- from scipy._lib._version import NumpyVersion as _NumpyVersion
- if _NumpyVersion(__numpy_version__) < '1.8.2':
- import warnings
- warnings.warn("Numpy 1.8.2 or above is recommended for this version of "
- "scipy (detected version %s)" % __numpy_version__,
- UserWarning)
- del _NumpyVersion
- from scipy._lib._ccallback import LowLevelCallable
- from scipy._lib._testutils import PytestTester
- test = PytestTester(__name__)
- del PytestTester
|