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

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

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

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

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

MaskedArray.itemsize Length of one array element in bytes. Examples

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

static MaskedArray.__new__(data=None, mask=False, dtype=None, copy=False, subok=True, ndmin=0, fill_value=None, keep_mask=True

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

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

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

matrix.repeat(repeats, axis=None) Repeat elements of an array. Refer to

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

matrix.I Returns the (multiplicative) inverse of invertible self.

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

ndarray.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.__iadd__ x.__iadd__(y) <==> x+=y

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

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

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