matrix.compress()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

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

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

matrix.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of the

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

matrix.all(axis=None, out=None)

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

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

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

MaskedArray.astype(newtype)

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__irshift__ x.__irshift__(y) <==> x>>=y

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recarray.strides
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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

ndarray.__contains__ x.__contains__(y) <==> y in x

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

generic.real real part of scalar

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MaskedArray.nbytes
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.nbytes Total bytes consumed by the elements of the array. Notes Does

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