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

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

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

ndarray.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices. Refer

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

ndarray.argmin(axis=None, out=None) Return indices of the minimum values along the given axis of a. Refer

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

ndarray.conj() Complex-conjugate all elements. Refer to numpy.conjugate for full documentation.

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

ndarray.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full

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

ndarray.__len__() <==> len(x)

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

ndarray.__isub__ x.__isub__(y) <==> x-=y

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

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

ndarray.__mul__ x.__mul__(y) <==> x*y

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

ndarray.__setstate__(version, shape, dtype, isfortran, rawdata) For unpickling.

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