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• numpy.ndarray.strides

  ...NumPy reference Array objects The N-dimensional array (ndarray) numpy.ndarray.strides...

• numpy.ndarray.strides (Python attribute, in numpy.ndarray.strides)
• Array iterator API

  ...; NpyIter* iter; NpyIter_IterNextFunc *iternext; char** dataptr; npy_intp nonzero_count; npy_intp* strideptr,* innersizeptr; /* Handle zero-sized arrays specially */ if (PyArray_SIZE(self) == 0) { retur...

• Beyond the basics

  ...could write). The major purpose of array iterators is to encapsulate iteration over N-dimensional arrays with arbitrary strides. They are used in many, many places in the NumPy source code itself. If you already know your array is contiguou...

• How to extend NumPy

  ...ion of code that actually performs the computation. If you are writing the algorithm, then I recommend that you use the stride information contained in the array to access the elements of the array (the PyArray_GetPtr macros make this painl...

• How to index ndarrays

  ...NumPy user guide NumPy how-tos How to index ndarrays

• Indexing on ndarrays

  ...NumPy user guide NumPy fundamentals Indexing on ndarrays

• Internal organization of NumPy arrays

  ...ffer). The number of dimensions and the size of each dimension. The separation between elements for each dimension (the stride). This does not have to be a multiple of the element size. The byte order of the data (which may not be the nativ...

• Interoperability with NumPy

  ...provide both a high-level API for operations on array-structured data and a concrete implementation of the API based on strided in-RAM storage. While this API is powerful and fairly general, its concrete implementation has limitations. As d...

• Memory alignment

  ...ry item in the array is at a memory location consistent with dtype.alignment, which is the case if the data ptr and all strides of the array are multiples of that alignment. The align keyword of the dtype constructor, which only affects Str...

• Memory management in NumPy

  ...anagement in NumPy The numpy.ndarray is a python class. It requires additional memory allocations to hold numpy.ndarray.strides, numpy.ndarray.shape and numpy.ndarray.data attributes. These attributes are specially allocated after creating...

• NumPy 1.10.0 Release Notes

  ...s has been changed from x.y.z.dev-githash to x.y.z.dev0+githash (note the +) in order to comply with PEP 440. relaxed stride checking NPY_RELAXED_STRIDE_CHECKING is now true by default. UPDATE: In 1.10.2 the default value of NPY_RELAXED_...

• NumPy 1.11.0 Release Notes

  ...es The following changes are scheduled for Numpy 1.12.0. Support for Python 2.6, 3.2, and 3.3 will be dropped. Relaxed stride checking will become the default. See the 1.8.0 release notes for a more extended discussion of what this change...

• NumPy 1.12.0 Release Notes

  ...rather than have special exceptions for the integer units. If you need negative powers, use an inexact type. Relaxed stride checking is the default This will have some impact on code that assumed that F_CONTIGUOUS and C_CONTIGUOUS were m...

• NumPy 1.13.0 Release Notes

  ...ote that NumPy allocation will not show up in tracemalloc of earlier Python versions. NumPy may be built with relaxed stride checking debugging Setting NPY_RELAXED_STRIDES_DEBUG=1 in the environment when relaxed stride checking is enabled...

• NumPy 1.17.0 Release Notes

  ...rmation. In that case switching to writeable was never allowed. This has now been fixed. C API changes dimension or stride input arguments are now passed by npy_intp const* Previously these function arguments were declared as the more s...

• NumPy 1.19.0 Release Notes

  ...uld return a scalar of the np.dtype that was passed in. (gh-15840) The numpy.ndarray constructor no longer interprets strides=() as strides=None The former has changed to have the expected meaning of setting numpy.ndarray.strides to (), w...

• NumPy 1.21.0 Release Notes

  ...in question are: _ctypes.get_data (use _ctypes.data instead) _ctypes.get_shape (use _ctypes.shape instead) _ctypes.get_strides (use _ctypes.strides instead) _ctypes.get_as_parameter (use _ctypes._as_parameter_ instead) (gh-19031) Expir...

• NumPy 1.22.3 Release Notes
• NumPy 1.23.0 Release Notes
• NumPy 1.25.0 Release Notes
• NumPy 1.8.0 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy 2.0.0 Release Notes
• NumPy C code explanations
• numpy.char.chararray.flags
• numpy.char.chararray.strides
• numpy.i: a SWIG interface file for NumPy
• numpy.info
• numpy.lib.stride_tricks
• numpy.lib.stride_tricks.as_strided
• numpy.lib.stride_tricks.sliding_window_view
• numpy.ma.masked_array.flags
• numpy.ma.masked_array.strides
• numpy.ma.MaskedArray.flags
• numpy.ma.MaskedArray.strides
• numpy.matrix
• numpy.matrix.flags
• numpy.matrix.ravel
• numpy.matrix.strides
• numpy.memmap.flags
• numpy.memmap.strides
• numpy.ndarray
• numpy.ndarray.ctypes
• numpy.ndarray.flags
• numpy.ndarray.setflags
• numpy.ndarray.strides
• numpy.polynomial.chebyshev.chebdomain
• numpy.polynomial.chebyshev.chebone
• numpy.polynomial.chebyshev.chebx
• numpy.polynomial.chebyshev.chebzero
• numpy.polynomial.hermite.hermdomain
• numpy.polynomial.hermite.hermone
• numpy.polynomial.hermite.hermx
• numpy.polynomial.hermite.hermzero
• numpy.polynomial.hermite_e.hermedomain
• numpy.polynomial.hermite_e.hermeone
• numpy.polynomial.hermite_e.hermex
• numpy.polynomial.hermite_e.hermezero
• numpy.polynomial.laguerre.lagdomain