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

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

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

matrix.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

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

record.setfield()

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

record.conj()

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

matrix.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

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

recarray.sort(axis=-1, kind='quicksort', order=None) Sort an array, in-place.

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

recarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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

matrix.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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

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

2025-01-10 15:47:30