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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
125708367 MDU6SXNzdWUxMjU3MDgzNjc= 712 DataArrays should display their coordinates in the natural order anntzer 1322974 open 0     13 2016-01-08T22:33:05Z 2020-11-06T18:48:54Z   CONTRIBUTOR      

Consider

``` from collections import * import numpy as np from xray import *

d1 = DataArray(np.empty((2, 2)), coords=OrderedDict([("foo", [0, 1]), ("bar", [0, 1])])) d2 = DataArray(np.empty((2, 2)), coords=OrderedDict([("bar", [0, 1]), ("foo", [0, 1])]))

ds = Dataset({"d1": d1, "d2": d2})

print(ds.d1) print(ds.d2) ```

This outputs

<xray.DataArray 'd1' (foo: 2, bar: 2)> array([[ 6.91516848e-310, 1.64244654e-316], [ 6.91516881e-310, 6.91516881e-310]]) Coordinates: * foo (foo) int64 0 1 * bar (bar) int64 0 1 <xray.DataArray 'd2' (bar: 2, foo: 2)> array([[ 1.59987863e-316, 6.91516883e-310], [ 6.91515690e-310, 2.12670320e-316]]) Coordinates: * foo (foo) int64 0 1 * bar (bar) int64 0 1

I understand that internally both DataArrays use the same coords object and thus the same coords order, but it would be helpful if, when printing d2 by itself, the coordinates were printed in the natural order ("bar", "foo"). In particular, when working interactively, the list of coordinates at the end of the repr is the most easy thing to spot, and thus most helpful to know how to format the call to array.loc[...].

 
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     xarray 13221727 issue
112254767 MDU6SXNzdWUxMTIyNTQ3Njc= 631 Confusing error (or lack thereof) when coordinate and variable share the same name anntzer 1322974 open 0     5 2015-10-19T23:39:22Z 2019-04-19T15:39:55Z   CONTRIBUTOR      

It probably makes sense to prevent dataset to have variables sharing the names of coordinates (what would dataset.varname return?) but currently

Dataset({"a": DataArray(np.zeros((3, 4)), dims=["a", "b"], coords={"a": list("xyz"), "b": list("xyzt")})})

fails with ValueError: an index variable must be defined with 1-dimensional data, and

Dataset({"a": DataArray(np.zeros(3), coords={"a": list("xyz")})})

actually creates an empty dataset using [0, 0, 0] as values for the a coordinate instead of x y z:

<xray.Dataset> Dimensions: (a: 3) Coordinates: * a (a) float64 0.0 0.0 0.0 Data variables: *empty*

 
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     xarray 13221727 issue
112253425 MDU6SXNzdWUxMTIyNTM0MjU= 630 Whether a DataArray is copied when inserted into a Dataset depends on whether coordinates match exactly anntzer 1322974 open 0     16 2015-10-19T23:27:15Z 2019-01-31T18:40:58Z   CONTRIBUTOR      

Consider

``` import numpy as np from xray import *

ds = Dataset({"a": DataArray(np.zeros((3, 4)))}) ds["b"] = b = DataArray(np.zeros((3, 4))) b[0, 0] = 1 print(ds["b"][0, 0]) # ==> prints 1

ds = Dataset({"a": DataArray(np.zeros((3, 4)))}) ds["b"] = b = DataArray(np.zeros((3, 3))) # !!! we implicitly fill the last column with nans. b[0, 0] = 1 print(ds["b"][0, 0]) # ==> prints 0 ```

In the first case, the dataset was modified when the dataarray was modified, but not in the second case.

 
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     xarray 13221727 issue

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