github: issues: 2 rows where type = "issue" and user = 25030860 sorted by updated

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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
199816142	MDU6SXNzdWUxOTk4MTYxNDI=	1197	Problem with creating coords by dict	SpghttCd 25030860	closed	0			7	2017-01-10T13:05:25Z	2017-08-31T19:17:29Z	2017-08-31T19:17:29Z	NONE				IMO there's a problem with using dicts as coords definition for DataArrays. E.g. an array defined by `import xarray as xr` `arr = xr.DataArray(np.zeros([1, 2, 3]), {'x': [1], 'y': [1, 2], 'z': [1, 2, 3]})` will lead to an exception when tried to be indexed like `arr[0, 0, 0]` The error message is `ValueError: conflicting sizes for dimension 'z': length 2 on <this-array> and length 3 on 'z'` As far as I can imagine this is because dicts don't preserve order in python. At least printing the coords shows a different order than used in the definition of `arr`: `arr.coords` `Coordinates:` `* x (x) int32 1` `* z (z) int32 1 2 3` `* y (y) int32 1 2` Using an ordered dict turns out to work: `import collections` `od = collections.OrderedDict([('x', [1]), ('y', [1, 2]), ('z', [1, 2, 3])])` `arr = xr.DataArray(np.zeros([1, 2, 3]), od)` And so does using a list of tuples: `arr = xr.DataArray(np.zeros([1, 2, 3]), [('x', [1]), ('y', [1, 2]), ('z', [1, 2, 3])])` Both lead to `arr[0, 0, 0]` `<xarray.DataArray ()>` `array(0.0)` `Coordinates:` `x int32 1` `y int32 1` `z int32 1` as expected. Detected in WinPython-64bit-3.4.4.1Qt5 with xarray version 0.7.0	{ "url": "https://api.github.com/repos/pydata/xarray/issues/1197/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }		completed	xarray 13221727	issue
204550216	MDU6SXNzdWUyMDQ1NTAyMTY=	1244	wrong decoding of loaded dataset from nc-file	SpghttCd 25030860	closed	0			10	2017-02-01T10:45:43Z	2017-02-06T07:09:28Z	2017-02-06T07:09:28Z	NONE				Hello I just upgraded from xarray 0.7.0 to 0.9.0 and noticed that the data in the variables are decoded wrong in the newer version. With `ds = xr.open_dataset(filename.nc)` in 0.7.0, the resulting dataset was correctly displayed as python <xarray.Dataset> Dimensions: (D1: 3601, X: 5, Z: 5) Coordinates: * D1 (D1) float64 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 ... * Z (Z) float64 1.0 2.0 3.0 4.0 5.0 * X (X) float64 -2.0 -1.0 0.0 1.0 2.0 Data variables: Brad (D1, Z, X) float64 -1.592 0.44 3.032 5.408 4.428 -0.68 0.432 ... Btan (D1, Z, X) float64 -13.33 -12.1 -10.68 -7.524 -4.032 -5.44 ... Bax (D1, Z, X) float64 11.97 12.3 11.7 7.86 3.14 6.112 6.188 5.524 ... T (D1, Z, X) float64 26.79 27.23 26.87 26.75 27.42 27.85 27.19 ... With 0.9.0 the same file shows up the following way python <xarray.Dataset> Dimensions: (D1: 3601, X: 5, Z: 5) Coordinates: * D1 (D1) float64 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 ... * Z (Z) float64 1.0 2.0 3.0 4.0 5.0 * X (X) float64 254.0 255.0 0.0 1.0 2.0 Data variables: Brad (D1, Z, X) float64 32.83 32.77 32.77 57.02 58.94 58.98 58.98 ... Btan (D1, Z, X) float64 33.29 1.835 22.81 16.38 23.33 65.27 15.47 ... Bax (D1, Z, X) float64 11.97 12.3 11.7 7.86 3.14 6.112 6.188 5.524 ... T (D1, Z, X) float64 1.19 1.63 1.27 1.15 1.82 2.25 1.59 1.37 1.33 ... The first thing I guessed was some problem with the decoding according to CF-conventions - but this behaviour is independent from if I used CF-conventions-conform compressing via scale and add_offset or not. Note that both file versions for testing (float64 and integer-compressed) were written with xarray 0.7.0 I hope I didn't miss some important changes between 0.7.0 and 0.9.0, but imho there's no related topic in the changelog, which told me what's the reason here.	{ "url": "https://api.github.com/repos/pydata/xarray/issues/1244/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }		completed	xarray 13221727	issue

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