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- numpy.record.data
...numpy.record.data...
- numpy.record.data (Python attribute, in numpy.record.data)
- Array API
...ity must take precedence over public relations, for Nature cannot be fooled. — Richard P. Feynman Array structure and data access These macros access the PyArrayObject structure members and are defined in ndarraytypes.h. The input argumen...
- Array creation routines
...fill_value[, dtype, order, ...]) Return a full array with the same shape and type as a given array. From existing data array(object[, dtype, copy, order, subok, ...]) Create an array. asarray(a[, dtype, order, device, copy, like])...
- Data type objects (
dtype
)...NumPy reference Array objects Data type objects (dtype)...
- Miscellaneous
...DLLs avoids API/reference counting issues good numpy support: arrays have all these in their ctypes attribute: a.ctypes.data a.ctypes.data_as a.ctypes.shape a.ctypes.shape_as a.ctypes.strides a.ctypes.strides_as Minuses: can’t use for...
- NumPy 1.10.0 Release Notes
...can now be used with periodic functions np.interp now has a new parameter period that supplies the period of the input data xp. In such case, the input data is properly normalized to the given period and one end point is added to each extr...
- NumPy 1.12.0 Release Notes
...preserved, instead of being reordered to match that of the directories. Deprecations Assignment of ndarray object’s data attribute Assigning the ‘data’ attribute is an inherently unsafe operation as pointed out in gh-7083. Such a capabi...
- NumPy 1.13.0 Release Notes
...ng numpy.unique. The original behaviour is recovered if axis=None (default). np.gradient now supports unevenly spaced data Users can now specify a not-constant spacing for data. In particular np.gradient can now take: A single scalar to...
- NumPy 1.16.0 Release Notes
...addition of: PyUFuncObject.core_dim_flags PyUFuncObject.core_dim_sizes PyUFuncObject.identity_value PyUFunc_FromFuncAndDataAndSignatureAndIdentity New Features Integrated squared error (ISE) estimator added to histogram This method (bi...
- NumPy 1.20.0 Release Notes
...he deprecation warning. The third column lists alternative NumPy names which may occasionally be preferential. See also Data types for additional details. Deprecated name Identical to NumPy scalar type names numpy.bool bool numpy.bool_...
- numpy.char.chararray.view
...numpy.char.chararray.view method char.chararray.view([dtype][, type]) New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which...
- numpy.lib.format
...h array. Capabilities Can represent all NumPy arrays including nested record arrays and object arrays. Represents the data in its native binary form. Supports Fortran-contiguous arrays directly. Stores all of the necessary information to...
- numpy.ma.masked_array.toflex
...nsforms a masked array into a flexible-type array. The flexible type array that is returned will have two fields: the _data field stores the _data part of the array. the _mask field stores the _mask part of the array. Parameters: None...
- numpy.ma.masked_array.torecords
...nsforms a masked array into a flexible-type array. The flexible type array that is returned will have two fields: the _data field stores the _data part of the array. the _mask field stores the _mask part of the array. Parameters: None...
- numpy.ma.MaskedArray.toflex
...nsforms a masked array into a flexible-type array. The flexible type array that is returned will have two fields: the _data field stores the _data part of the array. the _mask field stores the _mask part of the array. Parameters: None...
- numpy.ma.MaskedArray.torecords
...nsforms a masked array into a flexible-type array. The flexible type array that is returned will have two fields: the _data field stores the _data part of the array. the _mask field stores the _mask part of the array. Parameters: None...
- numpy.matrix.view
...numpy.matrix.view method matrix.view([dtype][, type]) New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which...
- numpy.memmap.view
...numpy.memmap.view method memmap.view([dtype][, type]) New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which...
- numpy.ndarray.view
...numpy.ndarray.view method ndarray.view([dtype][, type]) New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which...
- numpy.rec.array
- numpy.rec.fromarrays
- numpy.rec.fromfile
- numpy.rec.fromrecords
- numpy.rec.fromstring
- numpy.recarray
- numpy.recarray.view
- numpy.record
- numpy.record.data
- NumPy: the absolute basics for beginners
- Standard array subclasses
- Structured arrays
- System configuration
- The
numpy.ma
module - Typing (
numpy.typing
) - Array objects
- Glossary
- Indexing on
ndarrays