record.base
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.base base object

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

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

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

MaskedArray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load

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

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

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

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

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

recarray.argmax(axis=None, out=None) Return indices of the maximum values along the given axis. Refer to

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

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

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

ndarray.__invert__ x.__invert__() <==> ~x

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

MaskedArray.__ifloordiv__(other)

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

ndarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer

2025-01-10 15:47:30