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

MaskedArray.__truediv__(other)

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

MaskedArray.base Base object if memory is from some other object. Examples The base

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

matrix.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy.load

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

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

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

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

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

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

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

matrix.ndim Number of array dimensions. Examples >>>

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

record.imag imaginary part of scalar

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

matrix.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

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

MaskedArray.product(axis=None, dtype=None, out=None)

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