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

ndarray.__or__ x.__or__(y) <==> x|y

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generic.resize()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

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

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

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

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Datetimes and Timedeltas
  • References/Python/NumPy/Array objects

New in version 1.7.0. Starting in NumPy 1.7, there are core array data types which natively

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

recarray.base Base object if memory is from some other object. Examples The base of an

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

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

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

record.searchsorted() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars

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

record.strides tuple of bytes steps in each dimension

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

ndarray.__array__(|dtype) ? reference if type unchanged, copy otherwise. Returns either a new reference to self if dtype

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

generic.__array_priority__ Array priority.

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