Data type routines

can_cast(from_, to[, casting])	Returns True if cast between data types can occur according to the casting rule.
promote_types(type1, type2)	Returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast.
min_scalar_type(a, /)	For scalar a, returns the data type with the smallest size and smallest scalar kind which can hold its value.
result_type(*arrays_and_dtypes)	Returns the type that results from applying the NumPy type promotion rules to the arguments.
common_type(*arrays)	Return a scalar type which is common to the input arrays.

Creating data types

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

Data type information

finfo(dtype)	Machine limits for floating point types.
iinfo(type)	Machine limits for integer types.

Data type testing

isdtype(dtype, kind)	Determine if a provided dtype is of a specified data type kind.
issubdtype(arg1, arg2)	Returns True if first argument is a typecode lower/equal in type hierarchy.

Miscellaneous

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