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  • Array objects
    • The N-dimensional array (ndarray)
    • Scalars
    • Data type objects (dtype)
      • numpy.dtype
      • numpy.dtype.type
      • numpy.dtype.kind
      • numpy.dtype.char
      • numpy.dtype.num
      • numpy.dtype.str
      • numpy.dtype.name
      • numpy.dtype.itemsize
      • numpy.dtype.byteorder
      • numpy.dtype.fields
      • numpy.dtype.names
      • numpy.dtype.subdtype
      • numpy.dtype.shape
      • numpy.dtype.hasobject
      • numpy.dtype.flags
      • numpy.dtype.isbuiltin
      • numpy.dtype.isnative
      • numpy.dtype.descr
      • numpy.dtype.alignment
      • numpy.dtype.base
      • numpy.dtype.metadata
      • numpy.dtype.newbyteorder
      • numpy.dtype.__reduce__
      • numpy.dtype.__setstate__
      • numpy.dtype.__class_getitem__
      • numpy.dtype.__ge__
      • numpy.dtype.__gt__
      • numpy.dtype.__le__
      • numpy.dtype.__lt__
    • Indexing routines
    • Iterating over arrays
    • Standard array subclasses
    • Masked arrays
    • The array interface protocol
    • Datetimes and Timedeltas
  • Array API Standard Compatibility
  • Constants
  • Universal functions (ufunc)
  • Routines
  • Typing (numpy.typing)
  • Global state
  • NumPy C-API
  • CPU/SIMD Optimizations
  • NumPy security
  • NumPy and SWIG
  • NumPy reference
  • Data type objects (dtype)
  • numpy.dtype....

numpy.dtype.__setstate__#

method

dtype.__setstate__()#

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numpy.dtype.__reduce__

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numpy.dtype.__class_getitem__

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  • dtype.__setstate__

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