[ Web Proxy ]

Viewing: https://numpy.org/doc/stable/reference/generated/../generated/../generated/../routines.dtype.html

[Back] [Original]

Data type routines — NumPy v2.5 Manual

Back to top

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.

Creating data types#

dtype(dtype[,align,copy])

--

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 type `kind`.
`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.

previous

numpy.busday_count

next

numpy.can_cast

Web Proxy Viewer | New URL | Original Page