numpy

All Samples(18615) | Call(2) | Derive(0) | Import(18613)

NumPy
=====

Provides
  1. An array object of arbitrary homogeneous items
  2. Fast mathematical operations over arrays
  3. Linear Algebra, Fourier Transforms, Random Number Generation

How to use the documentation
----------------------------(more...)

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/tsa/examples/try_ld_nitime.py scikits.statsmodels(Download)

'''Levinson Durbin recursion adjusted from nitime
 
'''
 
import numpy as np

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/tsa/examples/ex_mle_garch.py scikits.statsmodels(Download)

 
 
import numpy as np
from numpy.testing import assert_almost_equal

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/tsa/examples/ex_mle_arma.py scikits.statsmodels(Download)

"""
 
import numpy as np
from numpy.testing import assert_almost_equal

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/tsa/examples/example_var.py scikits.statsmodels(Download)

"""
Look at some macro plots, then do some VARs and IRFs.
"""
 
import numpy as np

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/try_interchange.py scikits.statsmodels(Download)

"""
 
import numpy as np
import scikits.timeseries as ts

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/findow_1.py scikits.statsmodels(Download)

"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/findow_0.py scikits.statsmodels(Download)

"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py scikits.statsmodels(Download)

"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/n/i/nipy-HEAD/nipy/labs/group/tests/test_spatial_relaxation_onesample.py nipy(Download)

# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import numpy as np
 
from ..spatial_relaxation_onesample import multivariate_stat

src/n/i/nipy-HEAD/nipy/externals/transforms3d/tests/samples.py nipy(Download)

import numpy as np
 
from ..utils import inique, permuted_signs, permuted_with_signs
 
from ..taitbryan import euler2mat

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