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

Attributes

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.