issues

Table actions

2 rows where repo = 13221727, type = "issue" and user = 14136435 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date)

state 2

type 1

  • issue · 2 ✖

repo 1

  • xarray · 2 ✖
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
544375718 MDU6SXNzdWU1NDQzNzU3MTg= 3659 Error concatenating Multiindex variables hazbottles 14136435 open 0     1 2020-01-01T16:36:26Z 2021-07-08T17:43:57Z   CONTRIBUTOR      

MCVE Code Sample

```python

import xarray as xr da = xr.DataArray([0, 1], dims=["location"], coords={"lat": ("location", [10, 11]), "lon": ("location", [20, 21])}).set_index(location=["lat", "lon"]) da2 = xr.DataArray([2, 3], dims=["location"], coords={"lat": ("location", [12, 13]), "lon": ("location", [22, 23])}).set_index(location=["lat", "lon"]) xr.concat([da["location"], da2["location"]], dim="location") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/harry/code/xarray/xarray/core/concat.py", line 135, in concat return f(objs, dim, data_vars, coords, compat, positions, fill_value, join) File "/home/harry/code/xarray/xarray/core/concat.py", line 431, in _dataarray_concat ds = _dataset_concat( File "/home/harry/code/xarray/xarray/core/concat.py", line 384, in _dataset_concat result = Dataset(result_vars, attrs=result_attrs) File "/home/harry/code/xarray/xarray/core/dataset.py", line 541, in init variables, coord_names, dims, indexes = merge_data_and_coords( File "/home/harry/code/xarray/xarray/core/merge.py", line 466, in merge_data_and_coords return merge_core( File "/home/harry/code/xarray/xarray/core/merge.py", line 556, in merge_core assert_unique_multiindex_level_names(variables) File "/home/harry/code/xarray/xarray/core/variable.py", line 2363, in assert_unique_multiindex_level_names raise ValueError("conflicting MultiIndex level name(s):\n%s" % conflict_str) ValueError: conflicting MultiIndex level name(s): 'lat' (location), 'lat' (<this-array>) 'lon' (location), 'lon' (<this-array>) ```

Expected Output

The output should be the same as first concatenating the DataArrays, then extracting the dimension location:

```python

xr.concat([da, da2], dim="location")["location"] <xarray.DataArray 'location' (location: 4)> array([(10, 20), (11, 21), (12, 22), (13, 23)], dtype=object) Coordinates: * location (location) MultiIndex - lat (location) int64 10 11 12 13 - lon (location) int64 20 21 22 23 ```

Problem Description

```python

da["location"] looks like a normal DataArray

location = da["location"] location <xarray.DataArray 'location' (location: 2)> array([(10, 20), (11, 21)], dtype=object) Coordinates: * location (location) MultiIndex - lat (location) int64 10 11 - lon (location) int64 20 21

but in actual fact, the variable._data is a MultiIndex

location.variable._data PandasIndexAdapter(array=MultiIndex([(10, 20), (11, 21)], names=['lat', 'lon']), dtype=dtype('O')) ```

This is why an error is thrown: variable.assert_unique_multiindex_level_names gets passed two variables: location.variable (the DataArray data values), and also location["location"].variable (the coordinate values), which are both MultiIndexes.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: b3d3b4480b7fb63402eb6c02103bb8d6c7dbf93a python: 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.4.0-18362-Microsoft machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.14.1+36.gb3d3b44 pandas: 0.25.3 numpy: 1.18.0 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.9.1 distributed: 2.9.1 matplotlib: None cartopy: None seaborn: None numbagg: None setuptools: 42.0.2.post20191201 pip: 19.3.1 conda: None pytest: 5.3.2 IPython: None sphinx: None 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3659/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue
544371612 MDU6SXNzdWU1NDQzNzE2MTI= 3657 .rename() does not check conflict with multiindex level names hazbottles 14136435 closed 0     0 2020-01-01T15:50:38Z 2020-01-03T12:16:45Z 2020-01-03T12:16:45Z CONTRIBUTOR      

MCVE Code Sample

```python

import xarray as xr ds = xr.Dataset({"x": 42}, {"level0": [0, 1], "level1": [3, 4]}).set_index(mindex=["level0", "level1"]) ds <xarray.Dataset> Dimensions: (mindex: 2) Coordinates: * mindex (mindex) MultiIndex - level0 (mindex) int64 0 1 - level1 (mindex) int64 3 4 Data variables: x int64 42 ds.rename({"x": "level0"}) <xarray.Dataset> Dimensions: (mindex: 2) Coordinates: * mindex (mindex) MultiIndex - level0 (mindex) int64 0 1 - level1 (mindex) int64 3 4 Data variables: level0 int64 42 ```

Expected Output

raise a ValueError("conflicting Multiindex names ...")

Problem Description

Using .rename() you can get into a situation where you have a data variable or coordinate with the same name as a multi-index level name.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: b3d3b4480b7fb63402eb6c02103bb8d6c7dbf93a python: 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.4.0-18362-Microsoft machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.14.1+36.gb3d3b44 pandas: 0.25.3 numpy: 1.18.0 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.9.1 distributed: 2.9.1 matplotlib: None cartopy: None seaborn: None numbagg: None setuptools: 42.0.2.post20191201 pip: 19.3.1 conda: None pytest: 5.3.2 IPython: None sphinx: None 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3657/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);