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

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

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

generic.flags integer value of flags

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record.flat
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.flat a 1-d view of scalar

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

ndarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements along

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

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

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

ndarray.__setslice__ x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported

2025-01-10 15:47:30
recarray.real
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.real The real part of the array. See also

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

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

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

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

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

ndarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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