ndarray.itemsize
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.itemsize Length of one array element in bytes. Examples

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

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

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

MaskedArray.ndim Number of array dimensions. Examples

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

ndarray.__repr__() <==> repr(x)

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

MaskedArray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string

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

matrix.conj() Complex-conjugate all elements. Refer to numpy.conjugate for full documentation.

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

MaskedArray.__iand__ x.__iand__(y) <==> x&=y

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

ndarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis.

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

MaskedArray.__rxor__ x.__rxor__(y) <==> y^x

2025-01-10 15:47:30