github: issues: 3 rows where repo = 13221727, state = "closed" and user = 5797727 sorted by updated

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id	node_id	number	title	user	state	comments	created_at	updated_at ▲	closed_at	author_association	body	reactions	state_reason	repo	type
786347954	MDU6SXNzdWU3ODYzNDc5NTQ=	4814	Error while loading an HDF file	iuryt 5797727	closed	2	2021-01-14T21:19:34Z	2023-08-14T08:42:46Z	2021-01-22T19:30:48Z	NONE	What happened: I am trying to read a HDF file from MODIS satellite product. Source of the file: https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MOD06_L2/2015/012/MOD06_L2.A2015012.1510.061.2017318235218.hdf and `xr.open_dataset('MOD06_L2.A2015012.1510.061.2017318235218.hdf')` returns Error log ``` --------------------------------------------------------------------------- KeyError Traceback (most recent call last) ~/.local/lib/python3.6/site-packages/xarray/backends/file_manager.py in _acquire_with_cache_info(self, needs_lock) 198 try: --> 199 file = self._cache[self._key] 200 except KeyError: ~/.local/lib/python3.6/site-packages/xarray/backends/lru_cache.py in __getitem__(self, key) 52 with self._lock: ---> 53 value = self._cache[key] 54 self._cache.move_to_end(key) KeyError: [<class 'netCDF4._netCDF4.Dataset'>, ('/project/umd_amit_tandon/iury/data/coldpools/modis/MOD06_L2/2015/001/MOD06_L2.A2015001.0000.061.2017318203346.hdf',), 'r', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False))] During handling of the above exception, another exception occurred: OSError Traceback (most recent call last) <ipython-input-3-3a318c45af2b> in <module>() ----> 1 xr.open_dataset(fnames[0]) ~/.local/lib/python3.6/site-packages/xarray/backends/api.py in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, autoclose, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables, backend_kwargs, use_cftime, decode_timedelta) 507 if engine == "netcdf4": 508 store = backends.NetCDF4DataStore.open( --> 509 filename_or_obj, group=group, lock=lock, *backend_kwargs 510 ) 511 elif engine == "scipy": ~/.local/lib/python3.6/site-packages/xarray/backends/netCDF4_.py in open(cls, filename, mode, format, group, clobber, diskless, persist, lock, lock_maker, autoclose) 356 netCDF4.Dataset, filename, mode=mode, kwargs=kwargs 357 ) --> 358 return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose) 359 360 def _acquire(self, needs_lock=True): ~/.local/lib/python3.6/site-packages/xarray/backends/netCDF4_.py in __init__(self, manager, group, mode, lock, autoclose) 312 self._group = group 313 self._mode = mode --> 314 self.format = self.ds.data_model 315 self._filename = self.ds.filepath() 316 self.is_remote = is_remote_uri(self._filename) ~/.local/lib/python3.6/site-packages/xarray/backends/netCDF4_.py in ds(self) 365 @property 366 def ds(self): --> 367 return self._acquire() 368 369 def open_store_variable(self, name, var): ~/.local/lib/python3.6/site-packages/xarray/backends/netCDF4_.py in _acquire(self, needs_lock) 359 360 def _acquire(self, needs_lock=True): --> 361 with self._manager.acquire_context(needs_lock) as root: 362 ds = _nc4_require_group(root, self._group, self._mode) 363 return ds /opt/conda/lib/python3.6/contextlib.py in __enter__(self) 79 def __enter__(self): 80 try: ---> 81 return next(self.gen) 82 except StopIteration: 83 raise RuntimeError("generator didn't yield") from None ~/.local/lib/python3.6/site-packages/xarray/backends/file_manager.py in acquire_context(self, needs_lock) 185 def acquire_context(self, needs_lock=True): 186 """Context manager for acquiring a file.""" --> 187 file, cached = self._acquire_with_cache_info(needs_lock) 188 try: 189 yield file ~/.local/lib/python3.6/site-packages/xarray/backends/file_manager.py in _acquire_with_cache_info(self, needs_lock) 203 kwargs = kwargs.copy() 204 kwargs["mode"] = self._mode --> 205 file = self._opener(self._args, kwargs) 206 if self._mode == "w": 207 # ensure file doesn't get overriden when opened again netCDF4/_netCDF4.pyx in netCDF4._netCDF4.Dataset.__init__() netCDF4/_netCDF4.pyx in netCDF4._netCDF4._ensure_nc_success() OSError: [Errno -51] NetCDF: Unknown file format: b'/project/umd_amit_tandon/iury/data/coldpools/modis/MOD06_L2/2015/001/MOD06_L2.A2015001.0000.061.2017318203346.hdf' ``` What you expected to happen: Read the HDF file normally. Minimal Complete Verifiable Example: Just `xr.open_dataset('MOD06_L2.A2015012.1510.061.2017318235218.hdf')` Anything else we need to know?: Environment**: Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.6.4 \|Anaconda, Inc.\| (default, Jan 16 2018, 18:10:19) [GCC 7.2.0] python-bits: 64 OS: Linux OS-release: 2.6.32-754.35.1.el6.x86_64 machine: x86_64 processor: byteorder: little LC_ALL: C.UTF-8 LANG: C.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.6.3 xarray: 0.16.1 pandas: 1.1.4 numpy: 1.16.4 scipy: 1.2.0 netCDF4: 1.5.4 pydap: None h5netcdf: 0.8.1 h5py: 2.7.1 Nio: None zarr: None cftime: 1.2.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.2.1 dask: 0.16.1 distributed: 1.20.2 matplotlib: 3.2.2 cartopy: None seaborn: 0.8.1 numbagg: None pint: None setuptools: 38.4.0 pip: 20.2.4 conda: 4.4.10 pytest: 3.3.2 IPython: 6.2.1 sphinx: 1.6.6	{ "url": "https://api.github.com/repos/pydata/xarray/issues/4814/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	completed	xarray 13221727	issue
1521002414	I_kwDOAMm_X85aqKeu	7422	`plot.scatter` only works for declared arguments	iuryt 5797727	closed	2	2023-01-05T16:15:28Z	2023-01-05T22:39:23Z	2023-01-05T22:39:23Z	NONE	What happened? `python ds.plot.scatter("x","y")` returns: ```python KeyError Traceback (most recent call last) File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/core/dataset.py:1340, in Dataset._construct_dataarray(self, name) 1339 try: -> 1340 variable = self._variables[name] 1341 except KeyError: KeyError: None During handling of the above exception, another exception occurred: KeyError Traceback (most recent call last) Cell In[60], line 1 ----> 1 ds.plot.scatter("x","y") File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/plot/accessor.py:1071, in DatasetPlotAccessor.scatter(self, args, kwargs) 1069 @functools.wraps(dataset_plot.scatter) 1070 def scatter(self, args, *kwargs) -> PathCollection \| FacetGrid[DataArray]: -> 1071 return dataset_plot.scatter(self._ds, args,** kwargs) File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/plot/dataset_plot.py:914, in scatter(ds, x, y, z, hue, hue_style, markersize, linewidth, figsize, size, aspect, ax, row, col, col_wrap, xincrease, yincrease, add_legend, add_colorbar, add_labels, add_title, subplot_kws, xscale, yscale, xticks, yticks, xlim, ylim, cmap, vmin, vmax, norm, extend, levels, args, kwargs) 912 del locals_["ds"] 913 locals_.update(locals_.pop("kwargs", {})) --> 914 da = temp_dataarray(ds, y, locals) 916 return da.plot.scatter(locals_.pop("args", ()), *locals_) File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/plot/dataset_plot.py:740, in temp_dataarray(ds, y, locals) 736 coords[key] = ds[key] 738 # The dataarray has to include all the dims. Broadcast to that shape 739 # and add the additional coords: --> 740 _y = ds[y].broadcast_like(ds) 742 return DataArray(_y, coords=coords) File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/core/dataset.py:1431, in Dataset.getitem(self, key) 1429 return self.isel(key) 1430 if utils.hashable(key): -> 1431 return self._construct_dataarray(key) 1432 if utils.iterable_of_hashable(key): 1433 return self._copy_listed(key) File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/core/dataset.py:1342, in Dataset.construct_dataarray(self, name) 1340 variable = self._variables[name] 1341 except KeyError: -> 1342 , name, variable = _get_virtual_variable(self._variables, name, self.dims) 1344 needed_dims = set(variable.dims) 1346 coords: dict[Hashable, Variable] = {} File /autofs/nas1/home/isimoesdesousa/programs/mambaforge/envs/coringa/lib/python3.9/site-packages/xarray/core/dataset.py:174, in _get_virtual_variable(variables, key, dim_sizes) 171 return key, key, variable 173 if not isinstance(key, str): --> 174 raise KeyError(key) 176 split_key = key.split(".", 1) 177 if len(split_key) != 2: KeyError: None ``` What did you expect to happen? To plot the figure: Minimal Complete Verifiable Example ```Python import pandas as pd n = 1000 df = pd.DataFrame() df["x"] = np.random.randn(n) df["y"] = np.random.randn(n) ds = df.to_xarray() this works ds.plot.scatter(x="x",y="y") this doesn't work ds.plot.scatter("x","y") ``` 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, returning the result. [X] New issue — a search of GitHub Issues suggests this is not a duplicate. Relevant log output No response* Anything else we need to know? No response Environment NSTALLED VERSIONS ------------------ commit: None python: 3.9.15 \| packaged by conda-forge \| (main, Nov 22 2022, 15:55:03) [GCC 10.4.0] python-bits: 64 OS: Linux OS-release: 5.15.0-50-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.8.1 xarray: 2022.12.0 pandas: 1.5.2 numpy: 1.24.0 scipy: 1.9.3 netCDF4: 1.6.2 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.2 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.5 dask: 2022.12.1 distributed: 2022.12.1 matplotlib: 3.6.2 cartopy: None seaborn: None numbagg: None fsspec: 2022.11.0 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 65.6.3 pip: 22.3.1 conda: None pytest: None mypy: None IPython: 8.7.0 sphinx: None	{ "url": "https://api.github.com/repos/pydata/xarray/issues/7422/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	completed	xarray 13221727	issue
905452377	MDU6SXNzdWU5MDU0NTIzNzc=	5395	ValueError: unrecognized engine zarr must be one of: ['netcdf4', 'scipy', 'store']	iuryt 5797727	closed	6	2021-05-28T13:53:38Z	2021-12-07T19:44:04Z	2021-05-28T15:09:30Z	NONE	Hi, I am trying to load MUR data from AWS on Google Colab just as Chelle did for her Pangeo tutorial. https://github.com/pangeo-gallery/osm2020tutorial/blob/master/AWS-notebooks/aws_mur_sst_tutorial_long.ipynb What happened: ```python ValueError Traceback (most recent call last) <ipython-input-15-363886c4b27b> in <module>() 1 import xarray as xr 2 ----> 3 ds = xr.open_zarr('https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1',consolidated=True) 2 frames /usr/local/lib/python3.7/dist-packages/xarray/backends/plugins.py in get_backend(engine) 133 if engine not in engines: 134 raise ValueError( --> 135 f"unrecognized engine {engine} must be one of: {list(engines)}" 136 ) 137 backend = engines[engine] ValueError: unrecognized engine zarr must be one of: ['netcdf4', 'scipy', 'store'] ``` What you expected to happen: Load Zarr data from S3. Minimal Complete Verifiable Example: `python import xarray as xr ds = xr.open_zarr('https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1',consolidated=True)` Anything else we need to know?: I am using Google Colab. Environment: Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.10 (default, May 3 2021, 02:48:31) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 5.4.109+ machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.0 libnetcdf: 4.7.4 xarray: 0.18.2 pandas: 1.1.5 numpy: 1.19.5 scipy: 1.4.1 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: 3.1.0 Nio: None zarr: 2.8.3 cftime: 1.5.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2.12.0 distributed: 1.25.3 matplotlib: 3.2.2 cartopy: None seaborn: 0.11.1 numbagg: None pint: None setuptools: 56.1.0 pip: 19.3.1 conda: None pytest: 3.6.4 IPython: 5.5.0 sphinx: 1.8.5	{ "url": "https://api.github.com/repos/pydata/xarray/issues/5395/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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issues

3 rows where repo = 13221727, state = "closed" and user = 5797727 sorted by updated_at descending

What happened?

```python

What did you expect to happen?

Minimal Complete Verifiable Example

this works

this doesn't work

MVCE confirmation

Relevant log output

Anything else we need to know?

Environment

```python

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