sha,message,author_date,committer_date,raw_author,raw_committer,repo,author,committer
dc7d733bcc10ce935304d65d03124471661243a3,"Groupby-like API for resampling (#1272)

* Implement basic functionality by adding ""DataArrayResample"" and ""DatasetResample"" subclasses of their equivalent ""GroupBy"" implementation

* Re-factor old resample logic to separate method

* Adding test cases for new api

* Adding more DataArray resample tests

* Adding test_dataset test cases

* Update to use proxy __resample_dim__ on resampling ops

* Re-factor proxy resampling dimension and catch rare error if used as actual resampling dimension name

* BUG: Fixed loss of attrs on DatasetResample even when keep_attrs=True

* Update docs to add information about new resampling api

* Adding 'Whats new' entry

* Tweak auxiliary groupby apply and reduce methods

* Squash bugs from py.test following rebase to master

Un-do _combine temporary debugging output

* Fixing typo in groupby.py

* Add a test for resampling which includes timezones in the datetime stamps

* Rolling back the timezone tests... this will need to be tackled separately

* Re-factored resample into it's own module for easier maintenance

* Adding support for 'count' via old api

* Re-organizing new vs old resampling api tests

* Expanded old-vs-new api tests for Dataset to replace deprecated tests

* Consolidated old reasmpling api tests into new-vs-old for dataarray

* Wrapping old api test invocations with pytest.warns

* Added stub tests for upsampling

* Update documentation with upsampling stub

* Factor out a Resample object and add initial up-sampling methods - bfill, pad, asfreq

* Add interpolation up-sampling to DataArray

* Refine DataArray upsampling interpolation and extend to Dataset

* Fix wrong time dimension length on test cases for upsampling

* First initial revisions to @shoyer's comments; before modifying implementation of DataArrayResample

* Tweaks to resample.py to lean on super-methods

* Implementing interpolation test cases

* BUG: Fix asfreq only returning 1D data in nd case

* Add pad/asfreq upsampling tests

* Add a check if old/new api is mixed; remove old api details from resample docstring

* Fix an old bug in datetime components of timeseries doc

* Tweaking time-series doc

* Added what's new entry

* Drop existing non-dimension coordinates along resample dimension

* Update seaborn to v0.8 to fix issues with default plot styles

* nearest-neighbor up-sampling now relies on re-index instead of interpolate

* Adding nearest upsampling test; tweaked inference of re-indexing dimensions to avoid always having to compute means

* Move what's new entry to breaking changes

* Updating docs in breaking changes with example and link to timeseries page

* BUG: Fixing creating merged coordinates for Dataset upsampling case

* Remove old notice about resampling api updates

* Applying shoyer's clean-up of figuring out valid coords on Dataset up-sampling

* Add note about monotonicity assumption before interpolation

* fix some pep8 and comments

* More informative error message when resampling/interpolating dask arrays

* Fix flake8

* Fixing issues with test cases, including adding one for upsampling dask arrays

* Clean up scipy imports

* Adding additional tweaks to cover scipy/numpy dependencies in tests",2017-09-22T16:27:35Z,2017-09-22T16:27:35Z,2db87938e25c0bd59007523c53fe1e7aff827892,5f199557d0f8f69fbea5e027a407146e2669a812,13221727,,
8f6a68e3f821689203bce2bce52b412e9fe70b5c,"Add DatetimeAccessor for accessing datetime fields via `.dt` attribute (#1356)

* Add DatetimeAccessor for accessing datetime fields via `.dt` attribute

* Cleaning up unit tests

* Cleaning up comments and warnings in accessors

* Indirectly access pandas tslib through Series accessors

* Re-factor injection of datetime field accessor properties

* Undo loop/injection of _get_date_field accessors

* Remove public-facing dt property

* Remove extra 'field' argument from _tslib_field_accessor

* Added support for dask arrays

* Added dask test cases
Fixed a bug where data wasn't computed in correct order

* Simplified _get_date_field for both dask/numpy arrays; additional code review cleanups

* Fixing flake8 complaints

* Adding whats-new entry

* Updated timeseries docs with note about dt accessor

* Moved season accessor to DatetimeAccessor

* Re-factor virtual variable logic to lean on DateTimeAccessor

* Added ""Returns"" documentation to _get_date_field
Fixed imports to facilitate more direct implementation of DateTimeAccessor as a property in DataArray
Moved _access_through_series to a top-level function in accessors.py so that dask serialization will hopefully work a bit better

* Adding timestamp accessor

* Hard-coding expected dtypes for each datetime field

* Fix typo in non-datetime virtual variable access

* Update What's New and timeseries docs",2017-04-29T01:18:58Z,2017-04-29T01:18:58Z,2db87938e25c0bd59007523c53fe1e7aff827892,f10b21bed2846b879806f87039b77245b18e7671,13221727,,1217238