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• numpy.recarray.dtype

  ...numpy.recarray.dtype...

• numpy.recarray.dtype (Python attribute, in numpy.recarray.dtype)
• NumPy 1.10.0 Release Notes

  ...correlate. Future Changes In array comparisons like arr1 == arr2, many corner cases involving strings or structured dtypes that used to return scalars now issue FutureWarning or DeprecationWarning, and in the future will be change to ei...

• NumPy 1.10.2 Release Notes

  ...s Relaxed stride checking is no longer the default There were back compatibility problems involving views changing the dtype of multidimensional Fortran arrays that need to be dealt with over a longer timeframe. Fix swig bug in numpy.i R...

• NumPy 1.14.0 Release Notes

  ...s. We will not be dropping support for those arrays, but they are not compatible with PyPy. Future Changes np.issubdtype will stop downcasting dtype-like arguments. It might be expected that issubdtype(np.float32, 'float64') and issubd...

• NumPy 1.18.0 Release Notes

  ...t, but with no fields. The old behavior can be retained with: dropped_arr = drop_fields(arr, ['a', 'b']) if dropped_arr.dtype.names == (): dropped_arr = None converting the empty recarray to None (gh-14510) numpy.argmin/argmax/min/m...

• NumPy 1.25.0 Release Notes

  ...NumPy 1.25.0 Release Notes The NumPy 1.25.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There has also been work to prepare for the future...

• numpy.asanyarray

  ...numpy.asanyarray numpy.asanyarray(a, dtype=None, order=None, *, device=None, copy=None, like=None) Convert the input to an ndarray, but pass ndarray subclass...

• numpy.asarray

  ...numpy.asarray numpy.asarray(a, dtype=None, order=None, *, device=None, copy=None, like=None) Convert the input to an array. Parameters: aarray_likeIn...

• 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 parame...

• numpy.ma.masked_array.filled

  ...e.g., the data part of the masked array is a recarray, filled returns a recarray: >>> x = np.array([(-1, 2), (-3, 4)], dtype='i8,i8').view(np.recarray) >>> m = np.ma.array(x, mask=[(True, False), (False, True)]) >>> m.filled() rec.array([(...

• numpy.ma.MaskedArray.filled

  ...e.g., the data part of the masked array is a recarray, filled returns a recarray: >>> x = np.array([(-1, 2), (-3, 4)], dtype='i8,i8').view(np.recarray) >>> m = np.ma.array(x, mask=[(True, False), (False, True)]) >>> m.filled() rec.array([(...

• 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 parame...

• 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 parame...

• 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 parame...

• numpy.rec.array

  ...numpy.rec.array rec.array(obj, dtype=None, shape=None, offset=0, strides=None, formats=None, names=None, titles=None, aligned=False, byteorder=None, co...

• numpy.rec.fromarrays

  ...numpy.rec.fromarrays rec.fromarrays(arrayList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source] Create a record ar...

• numpy.rec.fromfile

  ...numpy.rec.fromfile rec.fromfile(fd, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source] Create a...

• numpy.rec.fromrecords
• numpy.rec.fromstring
• numpy.recarray
• numpy.recarray.astype
• numpy.recarray.byteswap
• numpy.recarray.copy
• numpy.recarray.ctypes
• numpy.recarray.cumprod
• numpy.recarray.cumsum
• numpy.recarray.dtype
• numpy.recarray.fill
• numpy.recarray.getfield
• numpy.recarray.imag
• numpy.recarray.item
• numpy.recarray.itemsize
• numpy.recarray.mean
• numpy.recarray.nbytes
• numpy.recarray.partition
• numpy.recarray.prod
• numpy.recarray.real
• numpy.recarray.setfield
• numpy.recarray.size
• numpy.recarray.sort
• numpy.recarray.std
• numpy.recarray.strides
• numpy.recarray.sum
• numpy.recarray.tobytes
• numpy.recarray.trace
• numpy.recarray.var
• numpy.recarray.view
• Record Arrays (numpy.rec)
• Standard array subclasses
• Structured arrays
• Typing (numpy.typing)
• Glossary
• Importing data with genfromtxt