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/2912#issuecomment-485505651,https://api.github.com/repos/pydata/xarray/issues/2912,485505651,MDEyOklzc3VlQ29tbWVudDQ4NTUwNTY1MQ==,2014301,2019-04-22T18:32:30Z,2019-04-22T18:36:38Z,NONE,"## Diagnosis
Thank you very much! I found this. For now, I will use the load() option.
### Loading netCDFs
```
In [8]: time ncdat=reformat_LIS_outputs(outlist)
CPU times: user 7.78 s, sys: 220 ms, total: 8 s
Wall time: 8.02 s
```
### Slower export
```
In [6]: time ncdat.to_netcdf('test_slow')
CPU times: user 12min, sys: 8.19 s, total: 12min 9s
Wall time: 12min 14s
```
### Faster export
```
In [9]: time ncdat.load().to_netcdf('test_faster.nc')
CPU times: user 42.6 s, sys: 2.82 s, total: 45.4 s
Wall time: 54.6 s
```
","{""total_count"": 9, ""+1"": 5, ""-1"": 0, ""laugh"": 1, ""hooray"": 1, ""confused"": 0, ""heart"": 1, ""rocket"": 1, ""eyes"": 0}",,435535284
https://github.com/pydata/xarray/issues/2623#issuecomment-449217260,https://api.github.com/repos/pydata/xarray/issues/2623,449217260,MDEyOklzc3VlQ29tbWVudDQ0OTIxNzI2MA==,2014301,2018-12-21T02:13:51Z,2018-12-21T02:13:51Z,NONE,"Arrgh. You're right. Updated Pandas and Numpy and the error went away. Thanks a lot!
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,392816513
https://github.com/pydata/xarray/issues/2623#issuecomment-449213052,https://api.github.com/repos/pydata/xarray/issues/2623,449213052,MDEyOklzc3VlQ29tbWVudDQ0OTIxMzA1Mg==,2014301,2018-12-21T01:57:51Z,2018-12-21T01:57:51Z,NONE,"Here it is:
```
xarray.Dataset {
dimensions:
hru = 17 ;
time = 233 ;
variables:
int64 hru(hru) ;
datetime64[ns] time(time) ;
float64 pptrate(time, hru) ;
pptrate:long_name = precipitation rate (instant) ;
pptrate:units = kg m-2 s-1 ;
int64 hruId(hru) ;
hruId:long_name = ID defining the hydrologic response unit (instant) ;
hruId:units = - ;
float64 averageInstantRunoff(time, hru) ;
int32 nSnow(time, hru) ;
nSnow:long_name = number of snow layers (instant) ;
nSnow:units = - ;
int32 nSoil(time, hru) ;
nSoil:long_name = number of soil layers (instant) ;
nSoil:units = - ;
int32 nLayers(time, hru) ;
nLayers:long_name = total number of layers (instant) ;
nLayers:units = - ;
// global attributes:
:summaVersion = v2.0.0 ;
:buildTime = Mon Mar 26 17:11:28 MDT 2018 ;
:gitBranch = develop-0-gcbbec4a ;
:gitHash = cbbec4a639446a285366339f0a2a9680c7df1ed4 ;
:soilStress = NoahType ;
:stomResist = BallBerry ;
:num_method = itertive ;
:fDerivMeth = analytic ;
:LAI_method = monTable ;
:f_Richards = mixdform ;
:groundwatr = bigBuckt ;
:hc_profile = constant ;
:bcUpprTdyn = nrg_flux ;
:bcLowrTdyn = zeroFlux ;
:bcUpprSoiH = liq_flux ;
:bcLowrSoiH = drainage ;
:veg_traits = CM_QJRMS1988 ;
:canopyEmis = difTrans ;
:snowIncept = lightSnow ;
:windPrfile = logBelowCanopy ;
:astability = louisinv ;
:canopySrad = BeersLaw ;
:alb_method = varDecay ;
:snowLayers = CLM_2010 ;
:compaction = anderson ;
:thCondSnow = jrdn1991 ;
:thCondSoil = funcSoilWet ;
:spatial_gw = localColumn ;
:subRouting = timeDlay ;
:notPopulatedYet = notPopulatedYet ;
}None
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,392816513
https://github.com/pydata/xarray/issues/2623#issuecomment-449167848,https://api.github.com/repos/pydata/xarray/issues/2623,449167848,MDEyOklzc3VlQ29tbWVudDQ0OTE2Nzg0OA==,2014301,2018-12-20T23:13:43Z,2018-12-20T23:13:43Z,NONE,"@shoyer Thank you! Here it is:
```
Traceback (most recent call last):
File ""./concat.py"", line 38, in
ncconcat.to_netcdf(os.path.join(ncdir, finalfile), 'w')
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/core/dataset.py"", line 1222, in to_netcdf
compute=compute)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/backends/api.py"", line 718, in to_netcdf
unlimited_dims=unlimited_dims)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/backends/api.py"", line 761, in dump_to_store
unlimited_dims=unlimited_dims)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/backends/common.py"", line 261, in store
variables, attributes = self.encode(variables, attributes)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/backends/common.py"", line 347, in encode
variables, attributes = cf_encoder(variables, attributes)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/conventions.py"", line 573, in cf_encoder
for k, v in iteritems(variables))
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/conventions.py"", line 573, in
for k, v in iteritems(variables))
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/conventions.py"", line 235, in encode_cf_variable
var = coder.encode(var, name=name)
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/coding/times.py"", line 395, in encode
encoding.pop('calendar', None))
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/xarray/coding/times.py"", line 365, in encode_cf_datetime
num = (pd.DatetimeIndex(dates.ravel()) - ref_date) / time_delta
File ""/glade/u/home/manab/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py"", line 3885, in invalid_op
""{typ}"".format(name=name, typ=type(self)))
TypeError: cannot perform __truediv__ with this index type:
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,392816513