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

ndarray.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

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numpy.ma.masked
  • References/Python/NumPy/Array objects/Masked arrays

In addition to the

2025-01-10 15:47:30
ndarray.prod()
  • References/Python/NumPy/Array objects/The N-dimensional array

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

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

generic.getfield() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from

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

ndarray.__reduce__() For pickling.

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

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

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

matrix.getT()

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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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