issue_comments: 1562605326

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https://github.com/pydata/xarray/issues/7871#issuecomment-1562605326 https://api.github.com/repos/pydata/xarray/issues/7871 1562605326 IC_kwDOAMm_X85dI3cO 10194086 2023-05-25T09:44:31Z 2023-05-25T09:44:31Z MEMBER

xarray handles nan values and ignores them per default - so you don't need to remove them. For example: ```python import numpy as np import xarray as xr

da = xr.DataArray([1, 2, 3, np.nan]) da.mean() `` If you have precision problems - that might be because you havefloat32` values.

I don't know what goes wrong with your lon values - that is an issue in the reprojection. You could convert them to 0...360 by using

```python

lon_dim = "x" new_lon = np.mod(da[lon_dim], 360) da = da.assign_coords({lon_dim: new_lon}) da.reindex({lon_dim : np.sort(da[lon_dim])})

```

 
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