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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/t/statsmodels-0.5.0/statsmodels/sandbox/examples/thirdparty/findow_1.py   statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/t/statsmodels-0.5.0/statsmodels/sandbox/examples/thirdparty/findow_0.py   statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/t/statsmodels-0.5.0/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py   statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/n/u/nupic-HEAD/examples/prediction/data/extra/firstOrder/raw/makeDataset.py   nupic(Download)
"""
 
import numpy
from nupic.data.file import File
 

src/c/v/cvxpy-HEAD/cvxpy/tests/test_examples.py   cvxpy(Download)
from cvxpy import *
import cvxpy.interface as intf
import numpy as np
from base_test import BaseTest
import cvxopt
    def test_readme_examples(self):
        import cvxopt
        import numpy
 
        # Problem data.
        ####################################################
 
        import numpy as np
        import cvxopt
        from multiprocessing import Pool
    def test_portfolio_problem(self):
        """Test portfolio problem that caused dcp_attr errors.
        """
        import numpy as np
        import scipy.sparse as sp
    def test_intro(self):
        """Test examples from cvxpy.org introduction.
        """
        import numpy
 

src/p/y/PyAstronomy-HEAD/src/modelSuite/XTran/palTrans/exampleSanity.py   PyAstronomy(Download)
    from PyAstronomy.modelSuite import palTrans
    import matplotlib.pylab as mpl
    import numpy
 
    # Create a PalLC instance
    from PyAstronomy.modelSuite import palTrans
    import matplotlib.pylab as mpl
    import numpy
 
    # Create a PalLC instance
    from PyAstronomy.modelSuite import palTrans
    import matplotlib.pylab as mpl
    import numpy
 
    # Create a PalLC_Rebin instance

src/s/t/statsmodels-HEAD/statsmodels/tsa/vector_ar/tests/example_svar.py   statsmodels(Download)
import numpy as np
import statsmodels.api as sm
from statsmodels.tsa.api import VAR, SVAR
import matplotlib.pyplot as plt
import statsmodels.tsa.vector_ar.util as util

src/s/t/statsmodels-HEAD/statsmodels/sandbox/tsa/examples/try_ld_nitime.py   statsmodels(Download)
 
from statsmodels.compat.python import range
import numpy as np
 
from statsmodels.tsa.stattools import acovf

src/s/t/statsmodels-HEAD/statsmodels/sandbox/tsa/examples/ex_mle_garch.py   statsmodels(Download)
 
from __future__ import print_function
import numpy as np
from numpy.testing import assert_almost_equal
 

src/s/t/statsmodels-HEAD/statsmodels/sandbox/tsa/examples/ex_mle_arma.py   statsmodels(Download)
"""
from __future__ import print_function
import numpy as np
from numpy.testing import assert_almost_equal
 

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