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

matrix.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

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

MaskedArray.astype(newtype)

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

matrix.H Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self)

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

MaskedArray.__imod__ x.__imod__(y) <==> x%=y

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

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

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

MaskedArray.__oct__() <==> oct(x)

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

matrix.any(axis=None, out=None)

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

ndarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

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

ndarray.__getitem__ x.__getitem__(y) <==> x[y]

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