Question

我有两个数据框，

from(URI)
    .errorHandler(deadLetterChannel(format("log:%s?level=ERROR", MyClass.class.getName())))
    .onException(Throwable.class)
        .maximumRedeliveries(5).redeliveryDelay("1000")
        .to("log:error?showCaughtException=true")
    .end()
    .to("direct:first")
    .hystrix()
        .hystrixConfiguration()
        .end()
        .to("direct:second")
    .endHystrix()
    .to("direct:third")
    .to("log:success?level=INFO");

// ENDPOINTS
@Consume(uri="direct:first")
public String first(String payload) {
    return payload + " first";
}

@Consume(uri="direct:second")
public String second(String payload) {
    Random rand = new Random();
    if ((rand.nextInt() % 3) == 0) {
        throw new RuntimeException("msg");
    }
    return payload + " second";
}

@Consume(uri="direct:third")
public String third(String payload) {
    return payload + " third";
}

df1=pd.DataFrame({"Req":["Req 1","Req 2","Req 3"],"Count":[1,2,1]}) Req Count 0 Req 1 1 1 Req 2 2 2 Req 3 1

df2=pd.DataFrame({"Req":["Req 1","Req 2"],"Count":[0,1]})

我正在尝试根据“Req”列

合并这些df

我想要的输出是，

    Req    Count
0   Req 1   0
1   Req 2   1

我试过了Req total from_1 from_2 Req 1 1 1 0 Req 2 3 2 1 Req 3 1 1 0，但它没有提供我想要的输出，请提前帮助，谢谢！

Answer 1

您可以将merge与左连接一起使用，替换NaN，重命名列，最后使用assign添加新列：

df = (pd.merge(df1, df2, on = "Req", how='left')
        .fillna(0)
        .rename(columns={'Count_x':'from_1','Count_y':'from_2'})
        .assign(total=lambda x: x['from_1'] + x['from_2'])
      )
print (df)
   from_1    Req  from_2  total
0       1  Req 1     0.0    1.0
1       2  Req 2     1.0    3.0
2       1  Req 3     0.0    1.0

如何基于pandas中的列合并两个数据帧

1 个答案: