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 1455395909,I_kwDOAMm_X85Wv5RF,7298,html repr fails for empty cftime arrays,10194086,closed,0,,,1,2022-11-18T16:09:00Z,2024-01-15T21:49:36Z,2024-01-15T21:49:35Z,MEMBER,,,,"### What happened? The html repr of a cftime array wants to display the ""calendar"", which it cannot if it is empty. ### What did you expect to happen? No error. ### Minimal Complete Verifiable Example ```Python import numpy as np import xarray as xr data_obs = np.random.randn(3) time_obs = xr.date_range(""2000-01-01"", periods=3, freq=""YS"", calendar=""noleap"") obs = xr.DataArray(data_obs, coords={""time"": time_obs}) o = obs[:0] xr.core.formatting_html.array_repr(o) ``` ### MVCE confirmation - [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray. - [ ] Complete example — the example is self-contained, including all data and the text of any traceback. - [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result. - [ ] New issue — a search of GitHub Issues suggests this is not a duplicate. ### Relevant log output ```Python ValueError Traceback (most recent call last) Input In [1], in () 8 obs = xr.DataArray(data_obs, coords={""time"": time_obs}) 10 o = obs[:0] ---> 12 xr.core.formatting_html.array_repr(o) File ~/code/xarray/xarray/core/formatting_html.py:318, in array_repr(arr) 316 if hasattr(arr, ""xindexes""): 317 indexes = _get_indexes_dict(arr.xindexes) --> 318 sections.append(index_section(indexes)) 320 sections.append(attr_section(arr.attrs)) 322 return _obj_repr(arr, header_components, sections) File ~/code/xarray/xarray/core/formatting_html.py:195, in _mapping_section(mapping, name, details_func, max_items_collapse, expand_option_name, enabled) 188 expanded = _get_boolean_with_default( 189 expand_option_name, n_items < max_items_collapse 190 ) 191 collapsed = not expanded 193 return collapsible_section( 194 name, --> 195 details=details_func(mapping), 196 n_items=n_items, 197 enabled=enabled, 198 collapsed=collapsed, 199 ) File ~/code/xarray/xarray/core/formatting_html.py:155, in summarize_indexes(indexes) 154 def summarize_indexes(indexes): --> 155 indexes_li = """".join( 156 f""
  • {summarize_index(v, i)}
    • "" 157 for v, i in indexes.items() 158 ) 159 return f"""" File ~/code/xarray/xarray/core/formatting_html.py:156, in (.0) 154 def summarize_indexes(indexes): 155 indexes_li = """".join( --> 156 f""
  • {summarize_index(v, i)}
    • "" 157 for v, i in indexes.items() 158 ) 159 return f"""" File ~/code/xarray/xarray/core/formatting_html.py:140, in summarize_index(coord_names, index) 138 index_id = f""index-{uuid.uuid4()}"" 139 preview = escape(inline_index_repr(index)) --> 140 details = short_index_repr_html(index) 142 data_icon = _icon(""icon-database"") 144 return ( 145 f""
    {name}
    "" 146 f""
    {preview}
    "" (...) 150 f""
    {details}
    "" 151 ) File ~/code/xarray/xarray/core/formatting_html.py:132, in short_index_repr_html(index) 129 if hasattr(index, ""_repr_html_""): 130 return index._repr_html_() --> 132 return f""
    {escape(repr(index))}
    "" File ~/code/xarray/xarray/core/indexes.py:547, in PandasIndex.__repr__(self) 546 def __repr__(self): --> 547 return f""PandasIndex({repr(self.index)})"" File ~/code/xarray/xarray/coding/cftimeindex.py:353, in CFTimeIndex.__repr__(self) 345 end_str = format_times( 346 self.values[-REPR_ELLIPSIS_SHOW_ITEMS_FRONT_END:], 347 display_width, 348 offset=offset, 349 first_row_offset=offset, 350 ) 351 datastr = ""\n"".join([front_str, f""{' '*offset}..."", end_str]) --> 353 attrs_str = format_attrs(self) 354 # oneliner only if smaller than display_width 355 full_repr_str = f""{klass_name}([{datastr}], {attrs_str})"" File ~/code/xarray/xarray/coding/cftimeindex.py:272, in format_attrs(index, separator) 267 def format_attrs(index, separator="", ""): 268 """"""Format attributes of CFTimeIndex for __repr__."""""" 269 attrs = { 270 ""dtype"": f""'{index.dtype}'"", 271 ""length"": f""{len(index)}"", --> 272 ""calendar"": f""'{index.calendar}'"", 273 ""freq"": f""'{index.freq}'"" if len(index) >= 3 else None, 274 } 276 attrs_str = [f""{k}={v}"" for k, v in attrs.items()] 277 attrs_str = f""{separator}"".join(attrs_str) File ~/code/xarray/xarray/coding/cftimeindex.py:698, in CFTimeIndex.calendar(self) 695 """"""The calendar used by the datetimes in the index."""""" 696 from .times import infer_calendar_name --> 698 return infer_calendar_name(self) File ~/code/xarray/xarray/coding/times.py:374, in infer_calendar_name(dates) 371 return sample.calendar 373 # Error raise if dtype is neither datetime or ""O"", if cftime is not importable, and if element of 'O' dtype is not cftime. --> 374 raise ValueError(""Array does not contain datetime objects."") ValueError: Array does not contain datetime objects. ``` ### Anything else we need to know? Bisected to 7379923de756a2bcc59044d548f8ab7a68b91d4e use `_repr_inline_` for indexes that define it. ### Environment
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7298/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 1959175248,I_kwDOAMm_X850xqRQ,8367,`da.xindexes` or `da.indexes` raises an error if there are none (in the repr),10194086,closed,0,,,1,2023-10-24T12:45:12Z,2023-12-06T17:06:16Z,2023-12-06T17:06:16Z,MEMBER,,,,"### What happened? `da.xindexes` or `da.indexes` raises an error when trying to generate the repr if there are no coords (indexes) ### What did you expect to happen? Displaying an empty Mappable? ### Minimal Complete Verifiable Example ```Python xr.DataArray([3, 5]).indexes xr.DataArray([3, 5]).xindexes ``` ### MVCE confirmation - [x] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray. - [x] Complete example — the example is self-contained, including all data and the text of any traceback. - [x] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result. - [x] New issue — a search of GitHub Issues suggests this is not a duplicate. - [x] Recent environment — the issue occurs with the latest version of xarray and its dependencies. ### Relevant log output ```Python Out[9]: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) File ~/.conda/envs/xarray_dev/lib/python3.10/site-packages/IPython/core/formatters.py:708, in PlainTextFormatter.__call__(self, obj) 701 stream = StringIO() 702 printer = pretty.RepresentationPrinter(stream, self.verbose, 703 self.max_width, self.newline, 704 max_seq_length=self.max_seq_length, 705 singleton_pprinters=self.singleton_printers, 706 type_pprinters=self.type_printers, 707 deferred_pprinters=self.deferred_printers) --> 708 printer.pretty(obj) 709 printer.flush() 710 return stream.getvalue() File ~/.conda/envs/xarray_dev/lib/python3.10/site-packages/IPython/lib/pretty.py:410, in RepresentationPrinter.pretty(self, obj) 407 return meth(obj, self, cycle) 408 if cls is not object \ 409 and callable(cls.__dict__.get('__repr__')): --> 410 return _repr_pprint(obj, self, cycle) 412 return _default_pprint(obj, self, cycle) 413 finally: File ~/.conda/envs/xarray_dev/lib/python3.10/site-packages/IPython/lib/pretty.py:778, in _repr_pprint(obj, p, cycle) 776 """"""A pprint that just redirects to the normal repr function."""""" 777 # Find newlines and replace them with p.break_() --> 778 output = repr(obj) 779 lines = output.splitlines() 780 with p.group(): File ~/code/xarray/xarray/core/indexes.py:1659, in Indexes.__repr__(self) 1657 def __repr__(self): 1658 indexes = formatting._get_indexes_dict(self) -> 1659 return formatting.indexes_repr(indexes) File ~/code/xarray/xarray/core/formatting.py:474, in indexes_repr(indexes, max_rows) 473 def indexes_repr(indexes, max_rows: int | None = None) -> str: --> 474 col_width = _calculate_col_width(chain.from_iterable(indexes)) 476 return _mapping_repr( 477 indexes, 478 ""Indexes"", (...) 482 max_rows=max_rows, 483 ) File ~/code/xarray/xarray/core/formatting.py:341, in _calculate_col_width(col_items) 340 def _calculate_col_width(col_items): --> 341 max_name_length = max(len(str(s)) for s in col_items) if col_items else 0 342 col_width = max(max_name_length, 7) + 6 343 return col_width ValueError: max() arg is an empty sequence ``` ### Anything else we need to know? _No response_ ### Environment
    INSTALLED VERSIONS ------------------ commit: ccc8f9987b553809fb6a40c52fa1a8a8095c8c5f python: 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0] python-bits: 64 OS: Linux OS-release: 6.2.0-35-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.14.2 libnetcdf: 4.9.2 xarray: 2023.9.1.dev8+gf6d69a1f pandas: 2.1.1 numpy: 1.24.4 scipy: 1.11.3 netCDF4: 1.6.4 pydap: installed h5netcdf: 1.2.0 h5py: 3.9.0 Nio: None zarr: 2.16.1 cftime: 1.6.2 nc_time_axis: 1.4.1 PseudoNetCDF: 3.2.2 iris: 3.7.0 bottleneck: 1.3.7 dask: 2023.9.2 distributed: None matplotlib: 3.8.0 cartopy: 0.22.0 seaborn: 0.12.2 numbagg: 0.2.2 fsspec: 2023.9.2 cupy: None pint: 0.20.1 sparse: 0.14.0 flox: 0.7.2 numpy_groupies: 0.10.1 setuptools: 68.2.2 pip: 23.2.1 conda: None pytest: 7.4.2 mypy: 1.5.1 IPython: 8.15.0 sphinx: None
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8367/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 1371397741,I_kwDOAMm_X85Rvd5t,7027,"don't apply `weighted`, `groupby`, etc. to `DataArray` without `dims`?",10194086,open,0,,,1,2022-09-13T12:44:34Z,2023-08-26T19:13:39Z,,MEMBER,,,,"### What is your issue? Applying e.g. `ds.weighted(weights).mean()` applies the operation over all `DataArray` objects - even if they don't have the dimensions over which it is applied (or is a scalar variable). I don't think this is wanted. ```python import xarray as xr air = xr.tutorial.open_dataset(""air_temperature"") air.attrs = {} # add variable without dims air[""foo""] = 5 print(""resample"") print(air.resample(time=""MS"").mean(dim=""time"").foo.dims) print(""groupby"") print(air.groupby(""time.year"").mean(dim=""time"").foo.dims) print(""weighted"") print(air.weighted(weights=air.time.dt.year).mean(""lat"").foo.dims) print(""where"") print(air.where(air.air > 5).foo.dims) ``` Results ``` resample ('time',) groupby ('year',) weighted ('time',) ``` Related #6952 - I am sure there are other issues, but couldn't find them quickly... `rolling` and `coarsen` don't seem to do this. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7027/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue 685739084,MDU6SXNzdWU2ODU3MzkwODQ=,4375,allow using non-dimension coordinates in polyfit,10194086,open,0,,,1,2020-08-25T19:40:55Z,2022-04-09T02:58:48Z,,MEMBER,,,," `polyfit` currently only allows to fit along a dimension and not along a non-dimension coordinate (or a virtual coordinate) Example: ```python da = xr.DataArray( [1, 3, 2], dims=[""x""], coords=dict(x=[""a"", ""b"", ""c""], y=(""x"", [0, 1, 2])) ) print(da) da.polyfit(""y"", 1) ``` Output: ```python array([1, 3, 2]) Coordinates: * x (x) in 5 print(da) 6 ----> 7 da.polyfit(""y"", 1) ~/.conda/envs/ipcc_ar6/lib/python3.7/site-packages/xarray/core/dataarray.py in polyfit(self, dim, deg, skipna, rcond, w, full, cov) 3507 """""" 3508 return self._to_temp_dataset().polyfit( -> 3509 dim, deg, skipna=skipna, rcond=rcond, w=w, full=full, cov=cov 3510 ) 3511 ~/.conda/envs/ipcc_ar6/lib/python3.7/site-packages/xarray/core/dataset.py in polyfit(self, dim, deg, skipna, rcond, w, full, cov) 6005 skipna_da = skipna 6006 -> 6007 x = get_clean_interp_index(self, dim, strict=False) 6008 xname = ""{}_"".format(self[dim].name) 6009 order = int(deg) + 1 ~/.conda/envs/ipcc_ar6/lib/python3.7/site-packages/xarray/core/missing.py in get_clean_interp_index(arr, dim, use_coordinate, strict) 246 247 if use_coordinate is True: --> 248 index = arr.get_index(dim) 249 250 else: # string ~/.conda/envs/ipcc_ar6/lib/python3.7/site-packages/xarray/core/common.py in get_index(self, key) 378 """""" 379 if key not in self.dims: --> 380 raise KeyError(key) 381 382 try: KeyError: 'y' ``` **Describe the solution you'd like** Would be nice if that worked. **Describe alternatives you've considered** One could just set the non-dimension coordinate as index, e.g.: `da = da.set_index(x=""y"")` **Additional context** Allowing this *may* be as easy as replacing https://github.com/pydata/xarray/blob/9c85dd5f792805bea319f01f08ee51b83bde0f3b/xarray/core/missing.py#L248 by ``` index = arr[dim] ``` but I might be missing something. Or probably a `use_coordinate` must be threaded through to `get_clean_interp_index` (although I am a bit confused by this argument). ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4375/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue 1150251120,I_kwDOAMm_X85Ej3Bw,6304,add join argument to xr.broadcast?,10194086,open,0,,,1,2022-02-25T09:52:14Z,2022-02-25T21:50:16Z,,MEMBER,,,,"### Is your feature request related to a problem? `xr.broadcast` always does an outer join: https://github.com/pydata/xarray/blob/de965f342e1c9c5de92ab135fbc4062e21e72453/xarray/core/alignment.py#L702 https://github.com/pydata/xarray/blob/de965f342e1c9c5de92ab135fbc4062e21e72453/xarray/core/alignment.py#L768 This is not how the (default) broadcasting (arithmetic join) works, e.g. the following first does an inner join and then broadcasts: ```python import xarray as xr da1 = xr.DataArray([[0, 1, 2]], dims=(""y"", ""x""), coords={""x"": [0, 1, 2]}) da2 = xr.DataArray([0, 1, 2, 3, 4], dims=""x"", coords={""x"": [0, 1, 2, 3, 4]}) da1 + da2 ``` ``` array([[0, 2, 4]]) Coordinates: * x (x) int64 0 1 2 Dimensions without coordinates: y ``` ### Describe the solution you'd like Add a `join` argument to `xr.broadcast`. I would propose to leave the default as is ```python def broadcast(*args, exclude=None, join=""outer""): args = align(*args, join=join, copy=False, exclude=exclude) ``` ### Describe alternatives you've considered - We could make `broadcast` respect `options -> arithmetic_join` but that would be a breaking change and I am not sure how the deprecation should/ would be handled... - We could leave it as is. ### Additional context - `xr.broadcast` should not be used often because this is should happen automatically in most cases - in #6059 I use `broadcast` because I couldn't get it to work otherwise (maybe there is a better way?). However, the ""outer elements"" are immediately discarded again - so it's kind of pointless to do an outer join. ```python import numpy as np import xarray as xr da = xr.DataArray(np.arange(6).reshape(3, 2), coords={""dim_0"": [0, 1, 2]}) w = xr.DataArray([1, 1, 1, 1, 1, 1], coords={""dim_0"": [0, 1, 2, 4, 5, 6]}) da.weighted(w).quantile(0.5) ```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6304/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue 817951965,MDU6SXNzdWU4MTc5NTE5NjU=,4970,minimum version and non-semantic versioning (netCDF4),10194086,closed,0,,,1,2021-02-27T15:33:48Z,2021-03-08T00:20:38Z,2021-03-08T00:20:38Z,MEMBER,,,,"We currently pin netCDF4 to [version 1.5](https://github.com/pydata/xarray/blob/48378c4b11c5c2672ff91396d4284743165b4fbe/ci/requirements/py37-min-all-deps.yml#L28). However, I think netCDF4 does not really follow semantic versioning, e.g. python 2 support was dropped in version 1.5.6. So they may actually be doing something like `1.major.minor[.patch]` - I asked about their versioning scheme in Unidata/netcdf4-python#1090. So I wonder if we would need to pin netCDF to version to version 1.5.4.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4970/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 814806676,MDU6SXNzdWU4MTQ4MDY2NzY=,4945,Upstream CI failing silently,10194086,closed,0,,,1,2021-02-23T20:30:29Z,2021-02-24T08:14:00Z,2021-02-24T08:14:00Z,MEMBER,,,,"The last 5 days our Upstream CI failed silently with a timeout after 6h: https://github.com/pydata/xarray/actions/workflows/upstream-dev-ci.yaml?query=branch%3Amaster+event%3Aschedule This was probably caused by #4934. As mentioned in dask/dask#4934 this is probably dask/dask#6738 which was merged 5 days ago.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4945/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 766450436,MDU6SXNzdWU3NjY0NTA0MzY=,4690,Linux py36-bare-minimum will likely fail,10194086,closed,0,,,1,2020-12-14T13:41:56Z,2020-12-14T19:47:59Z,2020-12-14T19:47:59Z,MEMBER,,,,"The Linux py36-bare-minimum will likely fail with a `TypeError: 'NoneType' object is not callable` due to python/importlib_metadata#270 This could be fixed by adding `typing_extensions` to the CI or maybe they fix that upstream.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4690/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 718869334,MDU6SXNzdWU3MTg4NjkzMzQ=,4502,dask dev upstream test failiures,10194086,closed,0,,,1,2020-10-11T16:12:13Z,2020-10-16T12:17:58Z,2020-10-16T12:17:57Z,MEMBER,,,,"Our upstream tests fail due to a change in dask. The likely culprit is dask/dask#6680 - `dask.array.zeros_like` does now take the `meta` keyword and thus it tries to coerce `str` to a `bool` which fails (and it didn't do before). The following should trigger the error: ```python import xarray as xr import dask da = xr.DataArray(dask.array.array("""")) xr.zeros_like(da, dtype=bool) ``` Note that `zeros_like` is called in `isnull` (which triggered the test failures): https://github.com/pydata/xarray/blob/080caf4246fe2f4d6aa0c5dcb65a99b376fa669b/xarray/core/duck_array_ops.py#L100-L102 **What happened**: ```python /home/vsts/work/1/s/xarray/tests/test_duck_array_ops.py:499: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /home/vsts/work/1/s/xarray/testing.py:139: in compat_variable return a.dims == b.dims and (a._data is b._data or equiv(a.data, b.data)) /home/vsts/work/1/s/xarray/testing.py:36: in _data_allclose_or_equiv return duck_array_ops.array_equiv(arr1, arr2) /home/vsts/work/1/s/xarray/core/duck_array_ops.py:246: in array_equiv flag_array = (arr1 == arr2) | (isnull(arr1) & isnull(arr2)) /home/vsts/work/1/s/xarray/core/duck_array_ops.py:104: in isnull return zeros_like(data, dtype=bool) /home/vsts/work/1/s/xarray/core/duck_array_ops.py:56: in f return wrapped(*args, **kwargs) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/dask/array/creation.py:174: in zeros_like return zeros( /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/dask/array/wrap.py:78: in wrap_func_shape_as_first_arg return Array(dsk, name, chunks, dtype=dtype, meta=kwargs.get(""meta"", None)) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/dask/array/core.py:1083: in __new__ meta = meta_from_array(meta, dtype=dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ x = array('', dtype=' meta = meta.astype(dtype) E ValueError: invalid literal for int() with base 10: '' ``` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4502/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 681627420,MDU6SXNzdWU2ODE2Mjc0MjA=,4352,da.sum(min_count=1) errors for integer data,10194086,closed,0,,,1,2020-08-19T07:52:35Z,2020-10-02T09:28:27Z,2020-10-02T09:28:27Z,MEMBER,,,," **What happened**: `da.sum(min_count=1)` returns a `TypeError` if `da` has an integer dtype. Of course min_count is not necessary for integer data as it cannot contain `NaN`. **What you expected to happen**: `min_count` should be ignored **Minimal Complete Verifiable Example**: ```python import xarray as xr da = xr.DataArray([[1, 2, 3], [4, 5, 6]]) da.sum(min_count=1) ``` **Anything else we need to know?**: Full traceback
    ```python In [37]: da.sum(min_count=1) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in ----> 1 da.sum(min_count=1) ~/code/xarray/xarray/core/common.py in wrapped_func(self, dim, axis, skipna, **kwargs) 44 45 def wrapped_func(self, dim=None, axis=None, skipna=None, **kwargs): ---> 46 return self.reduce(func, dim, axis, skipna=skipna, **kwargs) 47 48 else: ~/code/xarray/xarray/core/dataarray.py in reduce(self, func, dim, axis, keep_attrs, keepdims, **kwargs) 2336 """""" 2337 -> 2338 var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs) 2339 return self._replace_maybe_drop_dims(var) 2340 ~/code/xarray/xarray/core/variable.py in reduce(self, func, dim, axis, keep_attrs, keepdims, allow_lazy, **kwargs) 1591 data = func(input_data, axis=axis, **kwargs) 1592 else: -> 1593 data = func(input_data, **kwargs) 1594 1595 if getattr(data, ""shape"", ()) == self.shape: ~/code/xarray/xarray/core/duck_array_ops.py in f(values, axis, skipna, **kwargs) 310 311 try: --> 312 return func(values, axis=axis, **kwargs) 313 except AttributeError: 314 if not isinstance(values, dask_array_type): ~/code/xarray/xarray/core/duck_array_ops.py in f(*args, **kwargs) 46 else: 47 wrapped = getattr(eager_module, name) ---> 48 return wrapped(*args, **kwargs) 49 50 else: <__array_function__ internals> in sum(*args, **kwargs) TypeError: _sum_dispatcher() got an unexpected keyword argument 'min_count' ```
    **Environment**:
    Output of xr.show_versions() INSTALLED VERSIONS ------------------ commit: a7fb5a9fa1a2b829181ea9e4986b959f315350dd python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-42-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.15.2.dev64+g2542a63f pandas: 0.25.3 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.5.4 pydap: installed h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: 2.3.2 cftime: 1.0.4.2 nc_time_axis: None PseudoNetCDF: installed rasterio: 1.1.0 cfgrib: 0.9.5.4 iris: None bottleneck: 1.2.1 dask: 2.6.0 distributed: 2.6.0 matplotlib: 3.3.1 cartopy: 0.18.0 seaborn: 0.9.0 numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 19.3.1 conda: None pytest: 5.2.2 IPython: 7.17.0 sphinx: None
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4352/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 592629388,MDU6SXNzdWU1OTI2MjkzODg=,3927,use level of a MultiIndex for plotting?,10194086,closed,0,,,1,2020-04-02T13:24:05Z,2020-05-25T16:32:15Z,2020-05-25T16:32:15Z,MEMBER,,,,"It would be nice to be able to use a level of a MultiIndex for plotting. #### MCVE Code Sample ```python import numpy as np import xarray as xr da = xr.DataArray( np.random.randn(10), dims=""x"", coords=dict( a=(""x"", np.arange(10, 20)), b=(""x"", np.arange(1, 11)) ) ) da = da.set_index(x=[""a"", ""b""]) da ``` This creates the following DataArray ```python array([-1.34516338, 0.97644817, -0.24032189, -0.70112418, -0.8686898 , -0.55607078, 0.56618151, 1.62847463, 0.84947296, -0.5775504 ]) Coordinates: * x (x) MultiIndex - a (x) int64 10 11 12 13 14 15 16 17 18 19 - b (x) int64 1 2 3 4 5 6 7 8 9 10 ``` Is there a way to plot a line using one of the levels of the MultiIindex? ```python da.plot(x=""a"") ``` returns ```python ValueError: x must be either None or one of ('x') ``` ```python da.plot() ``` returns ```python TypeError: Plotting requires coordinates to be numeric or dates of type np.datetime64, datetime.datetime, cftime.datetime or pd.Interval. ``` (which makes sense). If `da` is a 2D Variable the error is ```python ValueError: x and y must be coordinate variables ``` #### Expected Output A line plot #### Versions
    Output of `xr.show_versions()` INSTALLED VERSIONS ------------------ commit: b3bafeefbd6e6d70bce505ae1f0d9d5a2b015089 python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-91-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.1 xarray: 0.11.1+335.gb0c336f6 pandas: 0.25.3 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.5.3 pydap: installed h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: 2.3.2 cftime: 1.0.4.2 nc_time_axis: None PseudoNetCDF: installed rasterio: 1.1.0 cfgrib: 0.9.5.4 iris: None bottleneck: 1.2.1 dask: 2.6.0 distributed: 2.6.0 matplotlib: 3.1.2 cartopy: 0.17.0 seaborn: 0.9.0 numbagg: None pint: None setuptools: 41.6.0.post20191101 pip: 19.3.1 conda: None pytest: 5.2.2 IPython: 7.9.0 sphinx: None
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3927/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 539010474,MDU6SXNzdWU1MzkwMTA0NzQ=,3634,"""ValueError: Percentiles must be in the range [0, 100]""",10194086,closed,0,,,1,2019-12-17T11:34:35Z,2019-12-17T13:50:06Z,2019-12-17T13:50:06Z,MEMBER,,,,"#### MCVE Code Sample ```python import xarray as xr da = xr.DataArray([0, 1, 2]) da.quantile(q=50) >>> ValueError: Percentiles must be in the range [0, 100] ``` #### Expected Output ```python ValueError: Quantiles must be in the range [0, 1] ``` #### Problem Description By wrapping `np.nanpercentile` (xref: #3559) we also get the numpy error. However, the error message is wrong as xarray needs it to be in 0..1. BTW: thanks for #3559, makes my life easier! #### Output of ``xr.show_versions()`` --- Edit: uses `nanpercentile` internally.
    INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.12.14-lp151.28.36-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.1 xarray: 0.14.1+28.gf2b2f9f6 (current master) pandas: 0.25.2 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.5.3 pydap: None h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: None cftime: 1.0.4.2 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.1.1 cfgrib: None iris: None bottleneck: 1.2.1 dask: 2.6.0 distributed: 2.6.0 matplotlib: 3.1.2 cartopy: 0.17.0 seaborn: 0.9.0 numbagg: None setuptools: 41.4.0 pip: 19.3.1 conda: None pytest: 5.2.2 IPython: 7.9.0 sphinx: 2.2.1
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3634/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 490229690,MDU6SXNzdWU0OTAyMjk2OTA=,3284,specifying list of colors does not work for me,10194086,closed,0,,,1,2019-09-06T09:36:08Z,2019-09-09T18:31:16Z,2019-09-09T18:31:16Z,MEMBER,,,,"#### MCVE Code Sample ```python import xarray as xr import numpy as np airtemps = xr.tutorial.load_dataset('air_temperature') air = airtemps.air.isel(time=0) levels = np.arange(225, 301, 25) colors = ['#ffffb2', '#fecc5c', '#fd8d3c', '#e31a1c'] # this does not work for me air.plot.pcolormesh(levels=levels, colors=colors) ``` #### Expected Output Should create a plot with the specified colors. According to the the docstring this should work. Or maybe I am doing something wrong here? #### Problem Description Instead I get the following error: ```python /usr/local/Miniconda3-envs/envs/2019/envs/iacpy3_2019/lib/python3.7/site-packages/xarray/plot/utils.py in _process_cmap_cbar_kwargs(func, kwargs, data) 683 # colors is only valid when levels is supplied or the plot is of type 684 # contour or contourf --> 685 if colors and (('contour' not in func.__name__) and (not levels)): 686 raise ValueError(""Can only specify colors with contour or levels"") 687 ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() ``` Instead I use the following, which works: ```python air.plot.pcolormesh(levels=levels, cmap=colors) ``` #### Output of ``xr.show_versions()``
    INSTALLED VERSIONS ------------------ commit: None python: 3.7.1 | packaged by conda-forge | (default, Feb 18 2019, 01:42:00) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.12.14-lp151.28.13-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.12.1 pandas: 0.24.2 numpy: 1.16.2 scipy: 1.2.1 netCDF4: 1.5.0.1 pydap: installed h5netcdf: 0.7.1 h5py: 2.9.0 Nio: None zarr: 2.3.1 cftime: 1.0.3.4 nc_time_axis: 1.2.0 PseudonetCDF: None rasterio: 1.0.22 cfgrib: 0.9.7 iris: 2.2.0 bottleneck: 1.2.1 dask: 1.1.5 distributed: 1.26.1 matplotlib: 3.0.3 cartopy: 0.17.0 seaborn: 0.9.0 setuptools: 41.0.0 pip: 19.0.3 conda: None pytest: 4.4.0 IPython: 7.4.0 sphinx: 2.0.1
    ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3284/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 67343193,MDU6SXNzdWU2NzM0MzE5Mw==,387,Accessing virtual_variables,10194086,closed,0,,,1,2015-04-09T11:41:08Z,2015-04-09T13:45:29Z,2015-04-09T13:45:29Z,MEMBER,,,,"Virtual variables such as time.date can not be accessed by dot notation. ``` In [81]: ts.time.date --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () ----> 1 ts.time.date /home/mathause/.local/lib/python2.7/site-packages/xray/core/common.pyc in __getattr__(self, name) 115 pass 116 raise AttributeError(""%r object has no attribute %r"" % --> 117 (type(self).__name__, name)) 118 119 def __dir__(self): AttributeError: 'DataArray' object has no attribute 'date' ``` Compare ``` ts.__getattr__('time.date') ``` So maybe time.date is not a useful name. time_date? Or don't show these attributes to the user? ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/387/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue