This is documentation for an old release of NumPy (version 1.8.0). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).
Data type routines
can_cast(from, totype, casting = ) |
Returns True if cast between data types can occur according to the |
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 |
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 |
Create a data type object. |
format_parser(formats, names, titles[, ...]) |
Class to convert formats, names, titles description to a dtype. |
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. |