根据列子字符串删除记录

Question

目标：根据第 2 列 index 1 子字符串从 Dataframe 中删除记录。

我试过了：

df = df[df[1] != '305-1']
df = df[df[1] != '305-2']

但是，这是一个绝对值，而不是子字符串。

df:

    1   2   3
0   Emissions   305-1~GHG emissions in metric tons of CO2e~Gro...   Emissions for Gross direct (Scope 1) GHG emiss...
1   Emissions   305-3~GHG emissions in metric tons of CO2e~Bio...   Emissions for Biogenic CO2 emissions was 14681...
2   Emissions   305-2~Direct (Scope 1) GHG emissions by gas~CO2 Emissions for CO2 was 107973 tons in year 2014...
3   Emissions   305-2~Direct (Scope 1) GHG emissions by gas~N20 Emissions for N20 was 91661 tons in year 2014,...
4   Emissions   305-3~Direct (Scope 1) GHG emissions by gas~HFCs    Emissions for HFCs was 31744 tons in year 2014...

期望的输出df:

1   Emissions   305-3~GHG emissions in metric tons of CO2e~Bio...   Emissions for Biogenic CO2 emissions was 14681...
4   Emissions   305-3~Direct (Scope 1) GHG emissions by gas~HFCs    Emissions for HFCs was 31744 tons in year 2014...

如果还有什么我可以添加到帖子中的，请告诉我。

Answer 1

将Series.str.contains 与| 一起用于按位or 与~ 的反转掩码：

df[~df[1].str.contains('305-1|305-2')]

或在[] 中指定值：

df[~df[1].str.contains('305-[12]')]