pydata / xarray / 6279
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shoyer 
Feature: N-dimensional auto_combine (#2553)

* concatenates along a single dimension

* Wrote function to find correct tile_IDs from nested list of datasets

* Wrote function to check that combined_tile_ids structure is valid

* Added test of 2d-concatenation

* Tests now check that dataset ordering is correct

* Test concatentation along a new dimension

* Started generalising auto_combine to N-D by integrating the N-D concatentation algorithm

* All unit tests now passing

* Fixed a failing test which I didn't notice because I don't have pseudoNetCDF

* Began updating open_mfdataset to handle N-D input

* Refactored to remove duplicate logic in open_mfdataset & auto_combine

* Implemented Shoyers suggestion in #2553 to rewrite the recursive nested list traverser as an iterator

* --amend

* Now raises ValueError if input not ordered correctly before concatenation

* Added some more prototype tests defining desired behaviour more clearly

* Now raises informative errors on invalid forms of input

* Refactoring to alos merge along each dimension

* Refactored to literally just apply the old auto_combine along each dimension

* Added unit tests for open_mfdatset

* Removed TODOs

* Removed format strings

* test_get_new_tile_ids now doesn't assume dicts are ordered

* Fixed failing tests on python3.5 caused by accidentally assuming dict was ordered

* Test for getting new tile id

* Fixed itertoolz import so that it's compatible with older versions

* Increased test coverage

* Added toolz as an explicit dependency to pass tests on python2.7

* Updated 'what's new'

* No longer attempts to shortcut all concatenation at once if concat_dims=None

* Rewrote using itertools.groupby instead of toolz.itertoolz.groupby to remove hidden dependency on toolz

* Fixed erroneous removal of utils import

* Updated docstrings to include an example of multidimensional concatenation

* Clarified auto_comb... (continued)

26964 of 27870 relevant lines covered (96.75%)

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Jobs
ID Job ID Ran Files Coverage
1 6279.1 (CONDA_ENV=py27-min) 102
65.69
 Travis Job 6279.1
2 6279.2 (CONDA_ENV=py27-cdat+iris+pynio) 102
94.65
 Travis Job 6279.2
3 6279.3 (CONDA_ENV=py35) 102
92.78
 Travis Job 6279.3
4 6279.4 (CONDA_ENV=py36) 102
94.61
 Travis Job 6279.4
5 6279.5 (CONDA_ENV=py37) 102
94.61
 Travis Job 6279.5
6 6279.6 (CONDA_ENV=py36-dask-dev) 102
94.24
 Travis Job 6279.6
7 6279.7 (CONDA_ENV=py36-rasterio-0.36) 102
93.01
 Travis Job 6279.7
9 6279.9 (CONDA_ENV=py36-hypothesis) 0
Travis Job 6279.9
13 6279.13 (CONDA_ENV=py36-bottleneck-dev) 102
91.82
 Travis Job 6279.13
16 6279.16 (CONDA_ENV=py36-zarr-dev) 102
89.54
 Travis Job 6279.16
Source Files on build 6279