sha,message,author_date,committer_date,raw_author,raw_committer,repo,author,committer
96dde664eda26a76f934151dd10dc02f6cb0000b,"Use profile mechanism, not no-op mutation (#2442)",2018-09-26T23:47:27Z,2018-09-26T23:47:27Z,06d09e827b2c2c43d09db36e525014c3eca83a8f,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238
6456df4e9d103a75231d0ea43bb87250ad8745a6,Starter property-based test suite (#1972),2018-03-20T12:40:11Z,2018-03-20T12:40:11Z,06d09e827b2c2c43d09db36e525014c3eca83a8f,b0f4ce5150c3c23b1766db99ba73f575ddfc0e71,13221727,12229877,10050469
9accae01b5b4018e05385269780708bcf8048d16,Fix RGB imshow with X or Y dim of size one (#1967),2018-03-08T23:51:45Z,2018-03-08T23:51:45Z,06d09e827b2c2c43d09db36e525014c3eca83a8f,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238
93a4039f6c6eb765f5b2dc1ba286b263a931dac6,"Use correct dtype for RGB image alpha channel (#1893)

* Fix alpha channel logic for integer RGB images

* Use named argument for concat axis",2018-02-12T22:12:12Z,2018-02-12T22:12:12Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,b0f4ce5150c3c23b1766db99ba73f575ddfc0e71,13221727,12229877,10050469
65e5f05938dc40c6e169377f8c0b6e7774d96866,"Read small integers as float32, not float64 (#1840)

* Read small integers as float32, not float64

AKA the ""I just wasted 4.6 TB of memory"" patch.

* Tests now include a clean flake8 run",2018-01-23T20:15:28Z,2018-01-23T20:15:28Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,5f199557d0f8f69fbea5e027a407146e2669a812,13221727,12229877,
6aa225f5dae9cc997e232c11a63072923c8c0238,"Normalisation for RGB imshow (#1819)

* Normalisation for RGB imshow

* Add test for error checking",2018-01-19T05:01:06Z,2018-01-19T05:01:06Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,5f199557d0f8f69fbea5e027a407146e2669a812,13221727,12229877,
0d69bf9dbf281f0f0f48ac2fadda61a82533aac3,"Make `flake8 xarray` pass (#1824)

* autoflake

autoflake --in-place xarray/*.py xarray/*/*.py

* autopep8

autopep8 --in-place --max-line-length 120 --global-config setup.cfg xarray/*.py xarray/*/*.py

* manual checking

* flake8 entire codebase

* fixup test

* Xarray is now flake8-clean with dask settings

* Fix all flake8 issues under default settings",2018-01-14T20:49:20Z,2018-01-14T20:49:20Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238
289f95a25c08796532807c669bbb5e12a79270c2,"Support RGB[A] arrays in plot.imshow() (#1796)

* Allow RGB plots from DataArray.plot.imshow

* Allow RGB[A] dim for imshow to be in any order

Includes new `rgb` keyword to tell imshow about that dimension, and much
error handling in inference.

* Use true RGB color for Rasterio gallery page

* Add whats-new entry",2018-01-11T03:14:35Z,2018-01-11T03:14:35Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238
cb161a1fbc9771d30ff4a7fc7e7b51a14122ab42,"Plot nans (#1782)

* Fix formatting

* Cross-reference matplotlib docs for plot methods

* Handle all-NaN data in plot.imshow

* Handle array dim with size one in plt.imshow

* Add whats-new entry",2017-12-15T17:31:38Z,2017-12-15T17:31:38Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238
b3f0376188f741a043ac06aba8efdff4e62cc592,Simplify imports for docs build,2017-10-24T06:08:23Z,2017-10-25T03:36:31Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
66e2b455419bd2923c82955e6932eaa02e65d570,Update comparison to Pandas,2017-10-24T04:29:27Z,2017-10-25T03:36:30Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
a53958a770d417f52b3353c8395e8bf139485933,Fix Zenodo links in FAQ,2017-10-24T04:07:00Z,2017-10-25T01:36:55Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
85d12e493be7813b97738e3761dd1ebb7f0ccd2d,Use intersphinx for Numba cross-reference,2017-10-23T12:02:42Z,2017-10-25T01:36:54Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
626627e5252ad34f631aca322b21c3fa4471ce0d,Update Sphinx config,2017-10-23T11:22:51Z,2017-10-25T01:36:53Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
2f2678a4db9027b90fa28358ee80cea8ae84e214,Ignore temporary files from docs build,2017-10-23T11:09:40Z,2017-10-25T01:36:51Z,aaefe47480151b633500e7cd79b8d9a2627cf362,aaefe47480151b633500e7cd79b8d9a2627cf362,13221727,12229877,12229877
d08efaf902cae5e5f28afff7d6f8182e35a53f46,"Shorter repr for attributes (#1322)

* Shorter repr for attributes

NetCDF files often have tens of attributes, including multi-paragraph
summaries or the full modification history of the file.  It's great to
have this available in the .attrs, but we can truncate it substantially
in the repr!  Hopefully this will stop people writing `data.attrs = {}`
and discarding metadata in interactive workflows for the sake of cleaner
output.

* Add test for attribute repr",2017-04-03T00:47:44Z,2017-04-03T00:47:44Z,3ce4a2c03644349db2459c99f8b3abfb25e90fed,f10b21bed2846b879806f87039b77245b18e7671,13221727,12229877,1217238