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

numpy.ma.expand_dims(x, axis)

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ndarray.flags
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.flags Information about the memory layout of the array. Notes The

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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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numpy.copyto()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.copyto(dst, src, casting='same_kind', where=None) Copies values from one array to another, broadcasting as necessary.

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__iadd__(other)

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numpy.ravel()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.ravel(a, order='C')

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

numpy.polynomial.hermite.hermx = array([ 0. , 0.5])

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numpy.linalg.lstsq()
  • References/Python/NumPy/Routines/Linear algebra

numpy.linalg.lstsq(a, b, rcond=-1)

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numpy.polynomial.hermite_e.hermetrim()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermetrim(c, tol=0)

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

dtype.str The array-protocol typestring of this data-type object.

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