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https://github.com/pydata/xarray/issues/4300#issuecomment-669065910 https://api.github.com/repos/pydata/xarray/issues/4300 669065910 MDEyOklzc3VlQ29tbWVudDY2OTA2NTkxMA== 31700619 2020-08-05T08:44:06Z 2020-08-05T08:44:06Z CONTRIBUTOR

I am also trying to get similar results of scipy curve_fit with xarray and dask. Is there a workaround I can use to fit a sinusoidal function with the current functions/methods? This is the function I use to fit a seasonal trend with scipy: t = 365 def timeseries_function_season (x,a0,a1,a2): return a0+(a1*np.cos(2*np.pi/t*x)+a2*np.sin(2*np.pi/t*x)) timeseries_model_fit,pcov= curve_fit(timeseries_function_season,x,y)

 
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