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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-HEAD/statsmodels/sandbox/tsa/examples/example_var.py   statsmodels(Download)
"""
Look at some macro plots, then do some VARs and IRFs.
"""
 
import numpy as np

src/s/t/statsmodels-HEAD/statsmodels/sandbox/examples/thirdparty/try_interchange.py   statsmodels(Download)
"""
from statsmodels.compat.python import lrange, zip
import numpy as np
import scikits.timeseries as ts
 

src/s/t/statsmodels-HEAD/statsmodels/sandbox/examples/thirdparty/findow_1.py   statsmodels(Download)
"""
from statsmodels.compat.python import lzip
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

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

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

src/p/y/PyAstronomy-HEAD/src/modelSuite/exampleSanity.py   PyAstronomy(Download)
  def sanity_KeplerEllipseModel(self):
    from PyAstronomy.modelSuite import KeplerEllipseModel
    import numpy as np
    import matplotlib.pylab as plt
 
    """
    from PyAstronomy import modelSuite as ms
    import numpy as np
    import matplotlib.pylab as plt
 
    """
    from PyAstronomy import modelSuite as ms
    import numpy as np
    import matplotlib.pylab as plt
 
    """
    from PyAstronomy import modelSuite as ms
    import numpy as np
    import matplotlib.pylab as plt
 
  def sanity_RotBroadProfileExample(self):
    """
      Example of rotational broadening.
    """
    import numpy as np

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

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