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

matrix.copy(order='C') Return a copy of the array.

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

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

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

recarray.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2 interchanged

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

matrix.setfield(val, dtype, offset=0) Put a value into a specified place in a field defined by a data-type. Place

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

matrix.flags Information about the memory layout of the array. Notes The

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

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

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

generic.__reduce__()

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

matrix.fill(value) Fill the array with a scalar value.

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

ndarray.argmax(axis=None, out=None) Return indices of the maximum values along the given axis. Refer to

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