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  • slevang · 1 ✖

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  • Extracting annual amplitude and phase of xarray dataset for each pixel using xarray.DataArray.curvefit · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1234368670 https://github.com/pydata/xarray/issues/6968#issuecomment-1234368670 https://api.github.com/repos/pydata/xarray/issues/6968 IC_kwDOAMm_X85Jkvie slevang 39069044 2022-09-01T14:34:05Z 2022-09-01T14:34:05Z CONTRIBUTOR

I don't think curvefit works well with datetime coordinates at this point, because everything gets coerced to float by apply_ufunc. Probably room for improvement there. At a minimum you would need to specify good guesses (p0) and/or bounds in terms of datetime64[ns] values.

An easy enough workaround is to assign a separate non-datetime coordinate. This works: ```python ds = xr.tutorial.open_dataset('air_temperature') ds = ds.assign_coords({'day':(ds.time - ds.time[0]) / np.timedelta64(1, 'D')}).swap_dims({'time':'day'})

def periodic_season(x, a0, a1, a2, a3): # periodic function with both phase amplitude and shift parameters return a0 + a1 * np.cos(a2 * x - a3)

dn = ds.curvefit( 'day', func=periodic_season, p0={'a0':275, 'a1':15, 'a2':2*np.pi/365} ) ```

 
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   Extracting annual amplitude and phase of xarray dataset for each pixel using xarray.DataArray.curvefit 1355733363

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