8000 Missingdata - Reorganize nditer implementation into a few files by mwiebe · Pull Request #104 · numpy/numpy · GitHub
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Missingdata - Reorganize nditer implementation into a few files #104

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2916465
NEP: missingdata: Start some details about masked iteration
Jul 6, 2011
4c157ec
NEP: missingdata: Add more C API details
Jul 7, 2011
50b13a7
NEP: missingdata: Add copyright info, some more NAMASK iterator clari…
Jul 7, 2011
adaa975
BUG: core: Missed a use of NPY_WRITEABLE in Py3 code when cleaning API
Jul 7, 2011
858aebd
NEP: missingdata: Adjust the parenthetical part of the NA/IGNORE defn
Jul 7, 2011
9e1630e
ENH: nditer: Move construction/copy/destruction to its own implementa…
Jul 7, 2011
2e17d68
ENH: nditer: Move the non-templated API into its own file
Jul 7, 2011
8c14a34
ENH: nditer: Rename nditer.c.src to indicate it has just the template…
Jul 7, 2011
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NEP: missingdata: Add more C API details
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Mark Wiebe committed Jul 7, 2011
commit 4c157ece1e8a2079fb2c49c3cd4d3f3549ccdeb1
28 changes: 27 additions & 1 deletion doc/neps/missing-data.rst
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Expand Up @@ -690,6 +690,22 @@ There are 2 (or 3) flags which must be added to the array flags::
/* To possibly add in a later revision */
NPY_ARRAY_HARDNAMASK

To allow the easy detection of NA support, and whether an array
has any missing values, we add the following functions:

PyDataType_HasNASupport(PyArray_Descr* dtype)
Returns true if this is an NA dtype, or a struct
dtype where every field has NA support.

PyArray_HasNASupport(PyArrayObject* obj)
Returns true if the array dtype has NA support, or
the array has an NA mask.

PyArray_ContainsNA(PyArrayObject* obj)
Returns false if the array has no NA support. Returns
true if the array has NA support AND there is an
NA anywhere in the array.

********************************************
C Iterator API Changes: Iteration With Masks
********************************************
Expand Down Expand Up @@ -737,10 +753,20 @@ Iterator NA-array Features
==========================

NPY_ITER_USE_NAMASK
If the operand has an NA dtype, a mask, or both, this adds a new
If the operand has an NA dtype, an NA mask, or both, this adds a new
virtual operand to the end of the operand list which iterates
over the mask of the particular operand.

NPY_ITER_IGNORE_NAMASK
If an operand has an NA mask, by default the iterator will raise
an exception unless USE_NAMASK is specified. This flag disables that
check, and is intended for cases where one has first checked that
all the elements in the array are not NA using the
PyArray_ContainsNA function.

If the dtype is an NA dtype, this also strips the NA-ness from
the dtype, showing a dtype that does not support NA.

********************
Rejected Alternative
********************
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