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Diffstat (limited to 'doc/source/reference/ufuncs.rst')
| -rw-r--r-- | doc/source/reference/ufuncs.rst | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/doc/source/reference/ufuncs.rst b/doc/source/reference/ufuncs.rst index dedbf2929..987a2ec15 100644 --- a/doc/source/reference/ufuncs.rst +++ b/doc/source/reference/ufuncs.rst @@ -174,6 +174,13 @@ Casting Rules .. index:: pair: ufunc; casting rules +.. note:: + + In NumPy 1.6.0, a type promotion API was created to encapsulate the + mechansim for determining output types. See the functions + :func:`result_type`, :func:`promote_types`, and + :func:`min_scalar_type` for more details. + At the core of every ufunc is a one-dimensional strided loop that implements the actual function for a specific type combination. When a ufunc is created, it is given a static list of inner loops and a @@ -267,15 +274,14 @@ types, are interpreted accordingly in ufuncs) without worrying about whether the precision of the scalar constant will cause upcasting on your large (small precision) array. - :class:`ufunc` ============== Optional keyword arguments -------------------------- -All ufuncs take optional keyword arguments. These represent rather -advanced usage and will not typically be used by most Numpy users. +All ufuncs take optional keyword arguments. Most of these represent +advanced usage and will not typically be used. .. index:: pair: ufunc; keyword arguments |