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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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 copyright info, some more NAMASK iterator clari… 
…fication
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Mark Wiebe committed Jul 7, 2011
commit 50b13a781c130759fa5da8b9a4f95e3b2e63f387
23 changes: 17 additions & 6 deletions doc/neps/missing-data.rst
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@@ -1,5 +1,7 @@
:Title: Missing Data Functionality in NumPy
:Author: Mark Wiebe <mwwiebe@gmail.com>
:Copyright: Copyright 2011 by Enthought, Inc
:License: CC By-SA 3.0 (http://creativecommons.org/licenses/by-sa/3.0/)
:Date: 2011-06-23

*****************
Expand Down Expand Up @@ -742,6 +744,13 @@ NPY_ITER_ARRAYMASK
can be only one such mask, and there cannot also be a virtual
mask.

As a special case, if the flag NPY_ITER_USE_NAMASK is specified
at the same time, the mask for the operand is used instead
of the operand itself. If the operand has no mask but is
based on an NA dtype, that mask exposed by the iterator converts
into the NA bitpattern when copying from the buffer to the
array.

NPY_ITER_VIRTUALMASK
Indicates that the mask is not an array, but rather created on
the fly by the inner iteration code. This allocates enough buffer
Expand All @@ -752,20 +761,22 @@ NPY_ITER_VIRTUALMASK
Iterator NA-array Features
==========================

We add several new per-operand flags:

NPY_ITER_USE_NAMASK
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
an exception unless NPY_ITER_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.

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

********************
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