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

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

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

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

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

matrix.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer to

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

recarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to

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

matrix.nbytes Total bytes consumed by the elements of the array. Notes Does not include

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

matrix.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

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

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

2025-01-10 15:47:30
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

2025-01-10 15:47:30
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

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

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

2025-01-10 15:47:30