issue_comments: 485505651

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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/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

 
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