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

ndarray.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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generic.itemsize
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.itemsize length of one element in bytes

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

ndarray.item(*args) Copy an element of an array to a standard Python scalar and return it.

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

ndarray.__gt__ x.__gt__(y) <==> x>y

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

recarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

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

matrix.setflags(write=None, align=None, uic=None) Set array flags WRITEABLE, ALIGNED, and UPDATEIFCOPY, respectively.

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generic.real
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.real real part of scalar

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

recarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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

MaskedArray.view(dtype=None, type=None)

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

dtype.__reduce__()

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