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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 |
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128528319 | MDU6SXNzdWUxMjg1MjgzMTk= | 722 | All dimmensions become coordinates? | wilhelmsen 242610 | closed | 0 | 4 | 2016-01-25T12:39:57Z | 2016-12-29T01:12:16Z | 2016-12-29T01:12:16Z | NONE | I have a netcdf file that looks like this (ncdump): ``` netcdf filevYpcG2 { dimensions: coor1 = 2 ; dim1 = 2 ; variables: int coor1(coor1) ; coor1:_FillValue = 999999 ; int var1(coor1) ; var1:_FillValue = 999999 ; int var2(dim1) ; var2:units = "unit1" ; var2:_FillValue = 999999 ; var2:attr_name = "variable1" ; // global attributes: :metadata1 = "metadata1" ; data: coor1 = 1, 2 ; var1 = 1, 2 ; var2 = 3, 4 ; } ``` When opening it in xray (xarray) I therefore expect ``` In [1]: import xray; In [2]: filename = "/tmp/filevYpcG2" In [3]: x = xray.open_dataset(filename) In [4]: x Out[4]: <xray.Dataset> Dimensions: (coor1: 2, dim1: 2) Coordinates: * coor1 (coor1) float64 1.0 2.0 * dim1 (dim1) int64 0 1 Data variables: var1 (coor1) float64 1.0 2.0 var2 (dim1) float64 3.0 4.0 Attributes: metadata1: metadata1 In [5]: x.coords Out[5]: Coordinates: * coor1 (coor1) float64 1.0 2.0 * dim1 (dim1) int64 0 1 In [6]: x.dims Out[6]: Frozen(SortedKeysDict({u'coor1': 2, u'dim1': 2})) In [7]: x.data_vars Out[7]: Data variables: var1 (coor1) float64 1.0 2.0 var2 (dim1) float64 3.0 4.0 ``` That is, both Am I wrohg, or is it meant to be like this? |
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completed | xarray 13221727 | issue | ||||||
129843955 | MDU6SXNzdWUxMjk4NDM5NTU= | 734 | Coords that look like ranges are not written in netcdf files. | wilhelmsen 242610 | closed | 0 | 1 | 2016-01-29T18:21:02Z | 2016-01-30T01:04:26Z | 2016-01-30T01:04:26Z | NONE | This may be related to #733, but I am not sure, so I create a new one to keep it clean. It was discovered when creating the second example for #722 . When the Example: ``` In [1]: import xray as xr In [2]: import numpy as np In [3]: var1 = xr.DataArray(np.array([1, 2], np.float64), coords=[np.array([0, 1], np.int64)], dims=["coor1",], name = "var1") In [4]: var2 = xr.DataArray(np.array([3, 4], np.float64), dims=["dim1",], name = "var2") In [5]: ds = xr.Dataset({"var1": var1, "var2": var2}) In [6]: ds Out[6]: <xray.Dataset> Dimensions: (coor1: 2, dim1: 2) Coordinates: * coor1 (coor1) int64 0 1 * dim1 (dim1) int64 0 1 Data variables: var1 (coor1) float64 1.0 2.0 var2 (dim1) float64 3.0 4.0 In [7]: ds.to_netcdf("/tmp/from_xr_2.nc") ``` And then, no ``` $ ncdump /tmp/from_xr_2.nc netcdf from_xr_2 { dimensions: coor1 = 2 ; dim1 = 2 ; variables: double var1(coor1) ; double var2(dim1) ; data: var1 = 1, 2 ; var2 = 3, 4 ; } ``` Change it back: ``` In [8]: var1 = xr.DataArray(np.array([1, 2], np.float64), coords=[np.array([1, 2], np.int64)], dims=["coor1",], name = "var1") In [9]: ds = xr.Dataset({"var1": var1, "var2": var2}) In [10]: ds.to_netcdf("/tmp/from_xr_3.nc") ``` and ``` $ ncdump /tmp/from_xr_3.nc netcdf from_xr_3 { dimensions: coor1 = 2 ; dim1 = 2 ; variables: int64 coor1(coor1) ; double var1(coor1) ; double var2(dim1) ; data: coor1 = 1, 2 ; var1 = 1, 2 ; var2 = 3, 4 ; } ``` That is, when the coords seem like they are similar to a |
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completed | xarray 13221727 | issue |
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