issue_comments: 399061170

This data as json

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/pull/2236#issuecomment-399061170 https://api.github.com/repos/pydata/xarray/issues/2236 399061170 MDEyOklzc3VlQ29tbWVudDM5OTA2MTE3MA== 30219501 2018-06-21T10:55:56Z 2018-06-21T11:03:16Z NONE

Hello from me hopefully contributing some needfull things.

At first, I would like to comment that I checked out your code.

I ran the following code example using a datafile uploaded under the following link: https://swiftbrowser.dkrz.de/public/dkrz_c0725fe8741c474b97f291aac57f268f/GregorMoeller/

``` import xarray import matplotlib.pyplot as plt

data = xarray.open_dataset("eObs_gridded_0.22deg_rot_v14.0.TOT_PREC.1950-2016.nc_CutParamTimeUnitCor_FinalEvalGrid") data <xarray.Dataset> Dimensions: (rlat: 136, rlon: 144, time: 153) Coordinates: * rlon (rlon) float32 -22.6 -22.38 -22.16 -21.94 -21.72 -21.5 ... * rlat (rlat) float32 -12.54 -12.32 -12.1 -11.88 -11.66 -11.44 ... * time (time) datetime64[ns] 2006-05-01T12:00:00 ... Data variables: rotated_pole int32 ... TOT_PREC (time, rlat, rlon) float32 ... Attributes: CDI: Climate Data Interface version 1.8.0 (http://m... Conventions: CF-1.6 history: Thu Jun 14 12:34:59 2018: cdo -O -s -P 4 remap... CDO: Climate Data Operators version 1.8.0 (http://m... cdo_openmp_thread_number: 4

data_aggreg = data["TOT_PREC"].resample(time="M").sum(min_count=0) data_aggreg2 = data["TOT_PREC"].resample(time="M").sum(min_count=1) I have recognized that the min_count option at recent state technically only works for DataArrays and not for DataSets. However, more interesting is the fact that the dimensions are destroyed: data_aggreg <xarray.DataArray 'TOT_PREC' (time: 5)> array([ 551833.25 , 465640.09375, 328445.90625, 836892.1875 , 503601.5 ], dtype=float32) Coordinates: * time (time) datetime64[ns] 2006-05-31 2006-06-30 2006-07-31 ... no longitude and latitude survives your operation. If I would use the the sum-operator on the full dataset (where maybe the code was not modified?) I got

data_aggreg = data.resample(time="M").sum() data_aggreg <xarray.Dataset> Dimensions: (rlat: 136, rlon: 144, time: 5) Coordinates: * time (time) datetime64[ns] 2006-05-31 2006-06-30 2006-07-31 ... * rlon (rlon) float32 -22.6 -22.38 -22.16 -21.94 -21.72 -21.5 ... * rlat (rlat) float32 -12.54 -12.32 -12.1 -11.88 -11.66 -11.44 ... Data variables: rotated_pole (time) int64 1 1 1 1 1 TOT_PREC (time, rlat, rlon) float32 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   333248242