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

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

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

matrix.T Returns the transpose of the matrix. Does not conjugate! For the complex conjugate transpose, use

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

ndarray.resize(new_shape, refcheck=True) Change shape and size of array in-place.

2025-01-10 15:47:30
generic.item()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

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

2025-01-10 15:47:30
matrix.resize()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.resize(new_shape, refcheck=True) Change shape and size of array in-place.

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

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

2025-01-10 15:47:30
MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__add__(other)

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

recarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect

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

MaskedArray.__array_wrap__(obj, context=None)

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

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

2025-01-10 15:47:30