Python linear interpolation analysis
In the missing value filling, if we fill the middle mean with the mean before and after, for example, 0, empty, 1, we want to fill 0.5 in the middle; or 0, empty, empty, 1, we want to fill 0.33, 0.67 in the middle.
You can use pandas functions to fill, because this is linear interpolation
df..interpolate()
dd=pd.DataFrame(data=[0,np.nan,np.nan,1])
dd.interpolate()
Supplementary knowledge: simple derivation of linear interpolation formula
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