Examples
import numpy as np
import pandas as pd
s = pd.Series(data=[2, None, 5, 2],
index=['P', 'Q', 'R', 'S'])
s
s.idxmin()
If skipna is False and there is an NA value in the data, the function returns nan.
s.idxmin(skipna=False)