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124 lines
4.2 KiB
Python
124 lines
4.2 KiB
Python
6 years ago
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"""
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SciPy: A scientific computing package for Python
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================================================
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Documentation is available in the docstrings and
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online at https://docs.scipy.org.
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Contents
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--------
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SciPy imports all the functions from the NumPy namespace, and in
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addition provides:
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Subpackages
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-----------
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Using any of these subpackages requires an explicit import. For example,
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``import scipy.cluster``.
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::
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cluster --- Vector Quantization / Kmeans
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fftpack --- Discrete Fourier Transform algorithms
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integrate --- Integration routines
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interpolate --- Interpolation Tools
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io --- Data input and output
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linalg --- Linear algebra routines
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linalg.blas --- Wrappers to BLAS library
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linalg.lapack --- Wrappers to LAPACK library
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misc --- Various utilities that don't have
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another home.
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ndimage --- n-dimensional image package
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odr --- Orthogonal Distance Regression
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optimize --- Optimization Tools
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signal --- Signal Processing Tools
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signal.windows --- Window functions
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sparse --- Sparse Matrices
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sparse.linalg --- Sparse Linear Algebra
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sparse.linalg.dsolve --- Linear Solvers
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sparse.linalg.dsolve.umfpack --- :Interface to the UMFPACK library:
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Conjugate Gradient Method (LOBPCG)
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sparse.linalg.eigen --- Sparse Eigenvalue Solvers
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sparse.linalg.eigen.lobpcg --- Locally Optimal Block Preconditioned
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Conjugate Gradient Method (LOBPCG)
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spatial --- Spatial data structures and algorithms
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special --- Special functions
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stats --- Statistical Functions
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Utility tools
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-------------
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::
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test --- Run scipy unittests
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show_config --- Show scipy build configuration
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show_numpy_config --- Show numpy build configuration
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__version__ --- Scipy version string
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__numpy_version__ --- Numpy version string
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"""
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from __future__ import division, print_function, absolute_import
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__all__ = ['test']
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from numpy import show_config as show_numpy_config
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if show_numpy_config is None:
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raise ImportError(
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"Cannot import scipy when running from numpy source directory.")
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from numpy import __version__ as __numpy_version__
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# Import numpy symbols to scipy name space
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import numpy as _num
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linalg = None
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from numpy import *
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from numpy.random import rand, randn
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from numpy.fft import fft, ifft
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from numpy.lib.scimath import *
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# Allow distributors to run custom init code
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from . import _distributor_init
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__all__ += _num.__all__
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__all__ += ['randn', 'rand', 'fft', 'ifft']
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del _num
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# Remove the linalg imported from numpy so that the scipy.linalg package can be
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# imported.
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del linalg
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__all__.remove('linalg')
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# We first need to detect if we're being called as part of the scipy
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# setup procedure itself in a reliable manner.
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try:
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__SCIPY_SETUP__
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except NameError:
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__SCIPY_SETUP__ = False
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if __SCIPY_SETUP__:
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import sys as _sys
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_sys.stderr.write('Running from scipy source directory.\n')
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del _sys
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else:
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try:
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from scipy.__config__ import show as show_config
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except ImportError:
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msg = """Error importing scipy: you cannot import scipy while
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being in scipy source directory; please exit the scipy source
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tree first, and relaunch your python interpreter."""
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raise ImportError(msg)
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from scipy.version import version as __version__
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from scipy._lib._version import NumpyVersion as _NumpyVersion
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if _NumpyVersion(__numpy_version__) < '1.8.2':
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import warnings
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warnings.warn("Numpy 1.8.2 or above is recommended for this version of "
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"scipy (detected version %s)" % __numpy_version__,
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UserWarning)
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del _NumpyVersion
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from scipy._lib._ccallback import LowLevelCallable
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from scipy._lib._testutils import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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