numpy.ma.prod()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements

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MaskedArray.var()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.var(axis=None, dtype=None, out=None, ddof=0)

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MaskedArray.sum()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.sum(axis=None, dtype=None, out=None)

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Chebyshev.
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

Chebyshev.__call__(arg)

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dtype.fields
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.fields Dictionary of named fields defined for this data type, or None. The dictionary is indexed

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numpy.unravel_index()
  • References/Python/NumPy/Routines/Indexing routines

numpy.unravel_index(indices, dims, order='C') Converts a flat index or array of flat indices into a tuple of coordinate

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numpy.polynomial.hermite.hermcompanion()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermcompanion(c)

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numpy.polynomial.polynomial.polyval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyval(x, c, tensor=True)

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numpy.ma.masked_equal()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.masked_equal(x, value, copy=True)

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chararray.splitlines()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.splitlines(keepends=None)

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