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

recarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to

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

ndarray.__str__() <==> str(x)

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

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

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

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

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

generic.base base object

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

record.newbyteorder(new_order='S') Return a new

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

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

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

recarray.all(axis=None, out=None, keepdims=False) Returns True if all elements evaluate to True. Refer to

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

recarray.field(attr, val=None)

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

MaskedArray.flat Flat version of the array.

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