# 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.
`obj2sctype`(rep[, default]) | Return the scalar dtype or NumPy equivalent of Python type of an object.

## Creating data types

`dtype`(dtype[, align, copy]) | Create a data type object.
`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.
`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) | Determine if a class is a subclass of a second class.
`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.
`maximum_sctype`(t) | Return the scalar type of highest precision of the same kind as the input.

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