I have a DataFrame, df
, that has 100 columns. The last 5 of those columns take on binary values. I want to find all rows where the the last five columns look like: 0, 1, 0, 1, 1.
I could do this by and
ing conditions like:
df[(df.col95 == 0) & (df.col96 == 1) ...]
but I'm sure there's a better way and I don't want to name the columns.
df[df.apply(lambda row: tuple(row[-5:]) == (0, 1, 0, 1, 1))]
But I get an Unalignable Boolean series provided as indexer
error. Any suggestions for how to accomplish this?
Thanks!
您可以在此处使用merge
df.merge(pd.DataFrame([[0,1,0,1,1]],columns=df.columns[-5:]))
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