recarray.prod()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

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

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

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

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

MaskedArray.__and__ x.__and__(y) <==> x&y

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

ndarray.__oct__() <==> oct(x)

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recarray.squeeze()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

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

matrix.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in a to maintain

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matrix.flat
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.flat A 1-D iterator over the array. This is a

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

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

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record.itemset()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

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

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

MaskedArray.__getslice__(i, j)

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