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 bothtype1 andtype2 may be safely cast.

min_scalar_type(a, /)

For scalara, 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 typekind.

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.