如何在 Pandas 中获得最接近的匹配值？

Question

I have one table:

Index	Month_1
01	12
02	09

A user input for month is taken. The user gives input 11.

How we can match the user input month to the nearest month?

In this case the output should be:

Index	Month_1
01	12

Logic: The month given by user is 11. Nearby month present in the table is 12. So the output is 12 (in table format shown above).

Answer 1

Subtract values, get absolute values and then get position of minimal value, last select rows, there is double [] for one row DataFrame:

a = 11
df = df.iloc[[df['Month_1'].sub(a).abs().argmin()]]
print (df)
  Index  Month_1
0    01       12