numpy.info()
  • References/Python/NumPy/Routines/NumPy-specific help functions

numpy.info(object=None, maxwidth=76, output=', mode 'w' at 0x402ae078>, toplevel='numpy')

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numpy.add()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.add(x1, x2[, out]) = Add arguments element-wise.

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matrix.getfield()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

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numpy.union1d()
  • References/Python/NumPy/Routines/Set routines

numpy.union1d(ar1, ar2)

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generic.put()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.put() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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numpy.cov()
  • References/Python/NumPy/Routines/Statistics

numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None)

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numpy.random.standard_t()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.standard_t(df, size=None) Draw samples from a standard Student?s t distribution with df degrees

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numpy.format_parser()
  • References/Python/NumPy/Routines/Data type routines

class numpy.format_parser(formats, names, titles, aligned=False, byteorder=None)

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broadcast.shape
  • References/Python/NumPy/Routines/Array manipulation routines/numpy.broadcast

broadcast.shape Shape of broadcasted result. Examples

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ndarray.prod()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

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