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 864505158,MDU6SXNzdWU4NjQ1MDUxNTg=,5206,How can I apply Groupby function and still keep the chunks ?,21273359,closed,1,,,1,2021-04-22T03:33:12Z,2021-04-22T17:35:42Z,2021-04-22T17:35:41Z,NONE,,,,"1. I have an 2-dims DataArray which be chunked along 1-dim I apply groupby operation on it, and it breaks out the chunks I expect it keeps the chunk, how can i process it correctly ? 2. Code: ``` da = xr.DataArray(np.arange(120).reshape(24, 5), coords = {""x"": range(24), ""y"":range(5)}, dims = (""x"", ""y"")) da = da.chunk(chunks = {""x"" : 5}) ``` da show: ``` > da xarray.DataArray x: 24y: 5 dask.array Coordinates: x (x) int64 0 1 2 3 4 5 6 ... 18 19 20 21 22 23 y (y) int64 0 1 2 3 4 Attributes: (0) da.groupby(""x"").quantile(0.02, dim = ""y"") ``` Result: ``` xarray.DataArrayx: 24 dask.array Coordinates: quantile () float64 0.02 x (x) int64 0 1 2 3 4 5 6 ... 18 19 20 21 22 23 Attributes: (0) ``` 3. Version of xr:
Details INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:25:08) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 5.8.9-1.el7.elrepo.x86_64 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: 0.17.0 pandas: 1.1.4 numpy: 1.19.1 scipy: 1.5.2 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: 3.2.1 Nio: None zarr: None cftime: 1.4.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.30.0 distributed: 2.30.1 matplotlib: 3.3.2 cartopy: None seaborn: 0.11.0 numbagg: None pint: None setuptools: 49.6.0.post20210108 pip: 21.0.1 conda: None pytest: 6.0.2 IPython: 7.22.0 sphinx: 3.2.1
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5206/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 864494256,MDU6SXNzdWU4NjQ0OTQyNTY=,5205,Clip function with minimum or maximum nan value,21273359,closed,1,,,9,2021-04-22T03:06:24Z,2021-04-22T17:34:59Z,2021-04-22T17:34:58Z,NONE,,,,"Hi team, 1. Concise description about the problem: Clip function with minimum or maximum nan value I see that with 1-dim DataArray, we can clip with minimum or maximum nan value: ```python xx = xr.DataArray([1, 3, 5], dims = ""x"") xx.clip(np.nan, 4) ``` Result: > xarray.DataArrayx: 3 array([1., 3., 4.]) Coordinates: (0) Attributes: (0) But with 2-dims DataArray, if one of two bounds is np.nan, we will receive nan value: ```python da = xr.DataArray(np.arange(18).reshape(3, 6), coords = {""x"": range(3), ""y"":range(6)}, dims = (""x"", ""y"")) lower = xr.DataArray([1, 2, np.nan], coords = {""x"": [0, 1, 2]}, dims = [""x""]) upper = xr.DataArray([4, 10, 14], coords = {""x"": [0, 1, 2]}, dims = [""x""]) lower = xr.broadcast(da, lower)[1] upper = xr.broadcast(da, upper)[1] da.clip(lower, upper) ``` Result: > xarray.DataArrayx: 3y: 6 array([[ 1., 1., 2., 3., 4., 4.], [ 6., 7., 8., 9., 10., 10.], [nan, nan, nan, nan, nan, nan]]) Coordinates: x (x) int64 0 1 2 y (y) int64 0 1 2 3 4 5 Attributes: (0) 2. Describe the solution i would like: The clip function perform well with 2-dims as it done in 1-dims ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5205/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 858671865,MDU6SXNzdWU4NTg2NzE4NjU=,5162,Monthly Rolling,21273359,closed,1,,,3,2021-04-15T09:09:43Z,2021-04-15T21:23:26Z,2021-04-15T21:23:25Z,NONE,,,,"Hi team, I am trying to rolling by Monthly with Xarray DataArray With Pandas Dataframe, i can use: df.rolling(""30D"") or df.rolling(""1M"") How can i do this with Xarray ? Thanks","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5162/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue