根据其他列的值创建新列 [英] Creating a new column based on the values of other columns

问题描述

我想创建一个高价值指标"列，根据两个不同的值列显示Y"或N".当 Value_1 > 1,000 或 Value_2 > 15,000 时，我希望新列有一个Y".下面是表格，所需的输出将包括基于或条件的指标列.

I wanted to create a "High Value Indicator" column, which says "Y" or "N" based on two different value columns. I want the new column to have a "Y" when Value_1 is > 1,000 or Value_2 > 15,000. Bellow is the table, the desired output would include the indicator column based on the or condition about.

ID   Value_1     Value_2 
1    100         2500
2    250         6250
3    625         15625
4    1500        37500
5    3750        93750

推荐答案

尝试使用 .loc 和 .fillna

Try using .loc and .fillna

df.loc[((df['Value_1'] > 1000) 
       |(df['Value_2'] > 15000)), 'High_Value_Ind'] = 'Y'

df['High_Value_Ind'] = df['High_Value_Ind'].fillna('N')

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