This is documentation for an old release of NumPy (version 1.3.). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).
Data type routines
| can_cast ([from, to]) |
Returns True if cast between data types can occur without losing precision. |
| common_type (*arrays) |
Return the inexact scalar type which is most common in a list of arrays. |
| obj2sctype (rep[, default]) |
|
Creating data types
| dtype (obj[, align, copy]) |
Create a data type object. |
| format_parser |
Class to convert formats, names, titles description to a dtype |
Data type testing
| issctype (rep) |
Determines whether the given object represents a numeric array type. |
| issubdtype (arg1, arg2) |
Returns True if first argument is a typecode lower/equal in type hierarchy. |
| issubsctype (arg1, arg2) |
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| issubclass_ (arg1, arg2) |
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| 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) |
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| mintypecode (typechars[, typeset, default]) |
Return a minimum data type character from typeset that handles all typechars given |
