[英]Selecting specific columns in where condition using Pandas
I have a below Dataframe with 3 columns:我有一个下面有 3 列的数据框:
df = DataFrame(query, columns=["Processid", "Processdate", "ISofficial"])
In Below code, I get Processdate based on Processid==204 (without Column Names):在下面的代码中,我得到基于 Processid==204 的 Processdate(没有列名):
result = df[df.Processid == 204].Processdate.to_string(index=False)
But I wan the same result for Two columns at once without column names, Something like below code:但是我想在没有列名的情况下同时获得两列的相同结果,类似于下面的代码:
result = df[df.Processid == 204].df["Processdate","ISofficial"].to_string(index=False)
I know how to get above result but I dont want Column names, Index and data type.我知道如何获得上述结果,但我不想要列名、索引和数据类型。 Can someone help?有人可以帮忙吗?
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