[Python] Sklearn or Pandas, impute missing values with simple linear regression

I have time series data, and I want to impute the missing data. I cant use mean of the column because I think it's not good for time series data.

So I want simple linear regression to impute it

Day, Price
1, NaN
2, NaN
3, 1800
4, 1900
5, NaN
6, NaN
7, 2000
8, 2200



I prefer to do this using Pandas, but if there is no other way I'm ok to do it using sklearn

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