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

recarray.nonzero() Return the indices of the elements that are non-zero. Refer to

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

recarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

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

recarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

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

recarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

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

recarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer

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

recarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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

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

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

recarray.dtype Data-type of the array?s elements.

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

recarray.data Python buffer object pointing to the start of the array?s data.

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

recarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this

2025-01-10 15:47:30