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/3632#issuecomment-566454958,https://api.github.com/repos/pydata/xarray/issues/3632,566454958,MDEyOklzc3VlQ29tbWVudDU2NjQ1NDk1OA==,10194086,2019-12-17T09:19:50Z,2019-12-17T09:19:50Z,MEMBER,"Maybe the code here does something similar to what you want:

https://github.com/pydata/xarray/blob/f2b2f9f62ea0f1020262a7ff563bfe74258ffaa1/xarray/core/missing.py#L17

``` python
import numpy as np
import xarray as xr
from xarray.core import missing as xrmissing

data = [0, -2, -2, -2, 0, -2, -2, 0]
da = xr.DataArray(data, coords=dict(time=np.arange(8)), dims=[""time""])
dlt = da < 0
xrmissing._get_nan_block_lengths(dlt.where(~ dlt), ""time"", dlt.time)

```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,538809911