python - How to merge xArray datasets with conflicting coordinates -

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let's have 2 data sets, each containing different variable of interest , incomplete (but not conflicting) indices:

in [1]: import xarray xr, numpy np in [2]: ages = xr.dataset(           {'ages': (['kid_ids'], np.random.rand((3))*20)},            coords={'kid_names':(['kid_ids'], ['carl','kathy','gail']), 'kid_ids': [10,14,16]}) in [3]: heights = xr.dataset(           {'heights': (['kid_ids'], np.random.rand((3))*160)},            coords={'kid_names':(['kid_ids'], ['carl','keith','gail']), 'kid_ids': [10,13,16]})

this creates 2 data sets seem should merge well:

in [4]: ages out[4]:  <xarray.dataset> dimensions:    (kid_ids: 3) coordinates:   * kid_ids    (kid_ids) int32 10 14 16     kid_names  (kid_ids) <u5 'carl' 'kathy' 'gail' data variables:     ages       (kid_ids) float64 13.28 1.955 4.327 in [5]: heights out[5]:  <xarray.dataset> dimensions:    (kid_ids: 3) coordinates:   * kid_ids    (kid_ids) int32 10 13 16     kid_names  (kid_ids) <u5 'carl' 'keith' 'gail' data variables:     heights    (kid_ids) float64 115.0 38.2 31.65

but don't - attempting ages.merge(heights) causes valueerror:

valueerror: conflicting value variable kid_names: first value: <xarray.variable (kid_ids: 4)> array(['carl', nan, 'kathy', 'gail'], dtype=object) second value: <xarray.variable (kid_ids: 4)> array(['carl', 'keith', nan, 'gail'], dtype=object)

dropping coordinate kid_names solves problem:

in [7]: ages.reset_coords('kid_names', drop=true).merge(           heights.reset_coords('kid_names', drop=true)) out[7]: <xarray.dataset> dimensions:  (kid_ids: 4) coordinates:   * kid_ids  (kid_ids) int64 10 13 14 16 data variables:     ages     (kid_ids) float64 0.4473 nan 6.45 6.787     heights  (kid_ids) float64 78.42 78.43 nan 113.4

it seems though coordinates being handled dataarrays, in non-identical values raise error. shouldn't handled more base coordinates, e.g. extended superset of 2 indices? or there operation should doing?

i'm on python 3.5 using xarray 0.7.2 , numpy 1.10.4

this isn't easy achieve in xarray, should be!

in fact, think should safe merge non-conflicting values under circumstances (unless user requests higher scrutiny).

i opened github issue track this: https://github.com/pydata/xarray/issues/835


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