如何使用 Pandas 检查同一表中两个字段之间的最近匹配值并将数据添加到第三个字段？

Question

I have one table:

Index	Month_1	Month_2	Paid
01	12	10
02	09	03
03	02	04
04	01	08

The output should be:

Index	Month_1	Month_2	Paid
01	12	10	Yes
02	09	03
03	02	04	Yes
04	01	08

Logic: Add 'Yes' to the Paid field whose Month_1 and Month_2 are nearby

Answer 1

You can subtract columns, get absolute values and compare if equal or less like threshold, eg 2 and then set values in numpy.where :

df['Paid'] = np.where(df['Month_1'].sub(df['Month_2']).abs().le(2), 'Yes','')
print (df)
  Index  Month_1  Month_2 Paid
0    01       12       10  Yes
1    02        9        3     
2    03        2        4  Yes
3    04        1        8