This is documentation for an old release of NumPy (version 1.5.). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).

Data type routines

can_cast(fromtype, totype)	Returns True if cast between data types can occur without losing precision.
common_type(*arrays)	Return a scalar type which is common to the input arrays.
obj2sctype(rep[, default])

Creating data types

dtype	Create a data type object.
format_parser(formats, names, titles[, ...])	Class to convert formats, names, titles description to a dtype.

Data type information

finfo	Machine limits for floating point types.
iinfo(type)	Machine limits for integer types.
MachAr([float_conv, int_conv, ...])	Diagnosing machine parameters.

Data type testing

issctype(rep)	Determines whether the given object represents a scalar data-type.
issubdtype(arg1, arg2)	Returns True if first argument is a typecode lower/equal in type hierarchy.
issubsctype(arg1, arg2)	Determine if the first argument is a subclass of the second argument.
issubclass_(arg1, arg2)
find_common_type(array_types, scalar_types)	Determine common type following standard coercion rules.

Miscellaneous

typename(char)	Return a description for the given data type code.
sctype2char(sctype)	Return the string representation of a scalar dtype.
mintypecode(typechars[, typeset, default])	Return the character for the minimum-size type to which given types can be safely cast.