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

ndarray.__int__() <==> int(x)

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recarray.data
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.data Python buffer object pointing to the start of the array?s data.

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

matrix.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max or

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

recarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this

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

MaskedArray.take(indices, axis=None, out=None, mode='raise')

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

ndarray.__getitem__ x.__getitem__(y) <==> x[y]

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dtype.itemsize
  • References/Python/NumPy/Array objects/Data type objects

dtype.itemsize The element size of this data-type object. For 18 of the 21 types this number is fixed by the data-type

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

matrix.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element (i[0]

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

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

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

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

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