html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/5395#issuecomment-988215531,https://api.github.com/repos/pydata/xarray/issues/5395,988215531,IC_kwDOAMm_X8465vjr,916762,2021-12-07T19:44:04Z,2021-12-07T19:44:04Z,NONE,"`zarr` and other formats can be installed with only `xarray[io]` if you don't need all the other bits.
http://xarray.pydata.org/en/stable/getting-started-guide/installing.html#instructions","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,905452377
https://github.com/pydata/xarray/issues/5395#issuecomment-850486324,https://api.github.com/repos/pydata/xarray/issues/5395,850486324,MDEyOklzc3VlQ29tbWVudDg1MDQ4NjMyNA==,5797727,2021-05-28T15:09:30Z,2021-05-28T15:09:30Z,NONE,"> actually, did you try `!pip install xarray[complete]`?
That worked! Thanks!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,905452377
https://github.com/pydata/xarray/issues/5395#issuecomment-850483726,https://api.github.com/repos/pydata/xarray/issues/5395,850483726,MDEyOklzc3VlQ29tbWVudDg1MDQ4MzcyNg==,14808389,2021-05-28T15:05:26Z,2021-05-28T15:05:26Z,MEMBER,"actually, did you try `!pip install xarray[complete]`?","{""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,905452377
https://github.com/pydata/xarray/issues/5395#issuecomment-850480087,https://api.github.com/repos/pydata/xarray/issues/5395,850480087,MDEyOklzc3VlQ29tbWVudDg1MDQ4MDA4Nw==,14808389,2021-05-28T14:59:47Z,2021-05-28T14:59:47Z,MEMBER,"I had to install a few other packages, but it did work for me. Here's what I did:
```bash
mamba env create -n test python=3.7; conda activate test # to get a fresh environment with py37
python -m pip install ipython
ipython
```
```python
In [1]: !pip install zarr xarray fsspec aiohttp requests
In [2]: import xarray as xr
...: ds = xr.open_zarr('https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1',consolidated=True)
```
I don't know anything about Google Colab, though, so there might be something specific you have to do.
output of xr.show_versions()
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 4.19.0-16-amd64
machine: x86_64
processor:
byteorder: little
libhdf5: None
libnetcdf: None
xarray: 0.18.2
pandas: 1.2.4
numpy: 1.20.3
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: 2.8.3
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: None
cartopy: None
seaborn: None
numbagg: None
pint: None
setuptools: 49.6.0.post20210108
pip: 21.1.2
conda: None
pytest: None
IPython: 7.23.1
sphinx: None
```