issue_comments: 507630032
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| 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/3018#issuecomment-507630032 | https://api.github.com/repos/pydata/xarray/issues/3018 | 507630032 | MDEyOklzc3VlQ29tbWVudDUwNzYzMDAzMg== | 21049064 | 2019-07-02T11:10:33Z | 2019-07-02T11:10:33Z | NONE | This is an awesome addition thankyou! I updated my ```python a = np.ones((400)) * 10 a[3:7] = 0.2 a[10:13] = 0.2 p = np.repeat(a, 25).reshape(400, 5, 5) lat = np.arange(0, 5) lon = np.arange(0, 5) time = pd.date_range('2000-01-01', freq='M', periods=p.shape[0]) d = xr.Dataset( {'precip': (['time', 'lat', 'lon'], p)}, coords={ 'lon': lon, 'lat': lat, 'time': time } ) d.groupby('time.month').quantile(q=0.1) ``` gives the error message ``` AttributeError Traceback (most recent call last) <ipython-input-38-276cfe319286> in <module> ----> 1 d.groupby('time.month').quantile(q=0.1) AttributeError: 'DatasetGroupBy' object has no attribute 'quantile' ``` Whereas for the Out[39]: <xarray.DataArray 'precip' (month: 12)> array([10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10.]) Coordinates: * month (month) int64 1 2 3 4 5 6 7 8 9 10 11 12 ``` Is this the expected behaviour? ``` INSTALLED VERSIONS commit: None python: 3.7.0 | packaged by conda-forge | (default, Nov 12 2018, 12:34:36) [Clang 4.0.1 (tags/RELEASE_401/final)] python-bits: 64 OS: Darwin OS-release: 18.2.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.12.2 pandas: 0.24.2 numpy: 1.16.4 scipy: 1.3.0 netCDF4: 1.5.1.2 pydap: None h5netcdf: None h5py: 2.9.0 Nio: None zarr: None cftime: 1.0.3.4 nc_time_axis: None PseudonetCDF: None rasterio: 1.0.17 cfgrib: 0.9.7 iris: None bottleneck: 1.2.1 dask: 1.2.2 distributed: 1.28.1 matplotlib: 3.1.0 cartopy: 0.17.0 seaborn: 0.9.0 numbagg: None setuptools: 41.0.1 pip: 19.1 conda: None pytest: 4.5.0 IPython: 7.1.1 sphinx: 2.0.1 ``` |
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