iinfo.min
  • References/Python/NumPy/Routines/Data type routines/numpy.iinfo

iinfo.min Minimum value of given dtype.

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iinfo.max
  • References/Python/NumPy/Routines/Data type routines/numpy.iinfo

iinfo.max Maximum value of given dtype.

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numpy.dtype
  • References/Python/NumPy/Routines/Data type routines

class numpy.dtype

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numpy.common_type()
  • References/Python/NumPy/Routines/Data type routines

numpy.common_type(*arrays)

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numpy.issubsctype()
  • References/Python/NumPy/Routines/Data type routines

numpy.issubsctype(arg1, arg2)

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numpy.can_cast()
  • References/Python/NumPy/Routines/Data type routines

numpy.can_cast(from, totype, casting = 'safe') Returns True if cast between data types can occur according to the casting rule

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dtype.fields
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.fields Dictionary of named fields defined for this data type, or None. The dictionary is indexed

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dtype.names
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.names Ordered list of field names, or None if there are no fields. The names are ordered according

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numpy.min_scalar_type()
  • References/Python/NumPy/Routines/Data type routines

numpy.min_scalar_type(a) For scalar a, returns the data type with the smallest size and smallest scalar

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numpy.result_type()
  • References/Python/NumPy/Routines/Data type routines

numpy.result_type(*arrays_and_dtypes) Returns the type that results from applying the NumPy type promotion rules to the arguments

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