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.