| Commit message (Collapse) | Author | Age | Files | Lines |
... | |
|\ \
| | |
| | | |
Add doc for PyArray_FILLWBYTE to tell the ndarray must be c contiguous.
|
| | | |
|
| |/ |
|
| | |
|
|/ |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
The original masked-NA-NEP branch contained a large number of changes
in addition to the core NA support. For example:
- ufunc.__call__ support for where= argument
- nditer support for arbitrary masks (in support of where=)
- ufunc.reduce support for simultaneous reduction over multiple axes
- a new "array assignment API"
- ndarray.diagonal() returning a view in all cases
- bug-fixes in __array_priority__ handling
- datetime test changes
etc. There's no consensus yet on what should be done with the
maskna-related part of this branch, but the rest is generally useful
and uncontroversial, so the goal of this branch is to identify exactly
which code changes are involved in maskna support.
The basic strategy used to create this patch was:
- Remove the new masking-related fields from ndarray, so no arrays
are masked
- Go through and remove all the code that this makes
dead/inaccessible/irrelevant, in a largely mechanical fashion. So
for example, if I saw 'if (PyArray_HASMASK(a)) { ... }' then that
whole block was obviously just dead code if no arrays have masks,
and I removed it. Likewise for function arguments like skipna that
are useless if there aren't any NAs to skip.
This changed the signature of a number of functions that were newly
exposed in the numpy public API. I've removed all such functions from
the public API, since releasing them with the NA-less signature in 1.7
would create pointless compatibility hassles later if and when we add
back the NA-related functionality. Most such functions are removed by
this commit; the exception is PyArray_ReduceWrapper, which requires
more extensive surgery, and will be handled in followup commits.
I also removed the new ndarray.setasflat method. Reason: a comment
noted that the only reason this was added was to allow easier testing
of one branch of PyArray_CopyAsFlat. That branch is now the main
branch, so that isn't an issue. Nonetheless this function is arguably
useful, so perhaps it should have remained, but I judged that since
numpy's API is already hairier than we would like, it's not a good
idea to add extra hair "just in case". (Also AFAICT the test for this
method in test_maskna was actually incorrect, as noted here:
https://github.com/njsmith/numpyNEP/blob/master/numpyNEP.py
so I'm not confident that it ever worked in master, though I haven't
had a chance to follow-up on this.)
I also removed numpy.count_reduce_items, since without skipna it
became trivial.
I believe that these are the only exceptions to the "remove dead code"
strategy.
|
| |
|
| |
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
The various padding functions are exposed as options to a public 'pad'
function. Example:
pad(a, 5, mode='mean')
Current modes are 'constant', 'edge', 'linear_ramp', 'maximum', 'mean',
'median', 'minimum', 'reflect', 'symmetric', 'wrap', and <function>
This commit includes unit tests and doctests and is based on feature
request ticket #655.
|
| |
|
|
|
|
| |
This has been extensively discussed on the mailing list. See #2072.
|
| |
|
|
|
|
|
| |
Also remove swig support for numpy < 1 from numpy.i since it expects
the old macros.
|
|
|
|
|
| |
Add more explanation of what happens in polynomial substitution and also of
its use in casting between types. Clean up some rst glitches.
|
| |
|
| |
|
| |
|
|
|
|
|
| |
The Sphinx markup was incorrect the documentation to the polynomial
convenience classes wasn't being generated.
|
|
|
|
|
| |
This is the first step in cleaning up the polynomial documentation
and writing an instructional section on the convenience classes.
|
| |
|
| |
|
|
|
|
|
|
|
|
| |
for legacy code
These functions now reject inputs with NA, and there are alternative
functions PyArray_AllowNAConverter and PyArray_OutputAllowNAConverter
that functions should use when they intend to support NA.
|
| |
|
|
|
|
| |
From Chris Jordan-Squire
|
|
|
|
| |
From github users xscript and 87.
|
|
|
|
| |
Thanks to chebee7i for the feedback
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
|
|
|
|
|
| |
This function either cheaply returns the product of the sizes of
all the reduction axes, or counts the number of items which will
be used in a reduction operation when skipna is True. Its purpose
is to make it easy to do functions like np.mean and np.std.
|
|
|
|
|
| |
It should also have less memory usage for heterogeneous inputs,
because it no longer makes extra copies in that case.
|
| |
|
| |
|
| |
|
|
|
|
| |
discoverable
|
| |
|
| |
|
| |
|
| |
|
|\ |
|
| | |
|
| | |
|
| | |
|
|/ |
|
| |
|
| |
|
|
|
|
|
|
|
|
| |
These functions expose masked copying routines, with and without
handling of overlapping data. Also deprecated the np.putmask and
PyArray_PutMask functions, because np.copyto supercedes their
functionality. This will need to be discussed on the list during
the pull request review.
|