[英]Filtering pandas dataframe rows based on boolean columns
My pandas dataframe looks like this:我的 pandas dataframe 看起来像这样:
col_1 | col_2 | col_3 .... col_100
date
01-01-2001 True False False ... True
02-01-2001 False True False ... True
03-01-2001 True False True ... True
04-01-2001 False False False ... False
as a result, I'd like to get a df that contains all the rows which have at least one True in the row.结果,我想得到一个 df,其中包含行中至少有一个 True 的所有行。 In this case, the results would be
在这种情况下,结果将是
col_1 | col_2 | col_3 ... col_100
date
01-01-2001 True False False ... True
02-01-2001 False True False ... True
03-01-2001 True False True ... False
Any clever way to do this?有什么聪明的方法可以做到这一点?
Use DataFrame.any
:使用
DataFrame.any
:
df1 = df[df.any(axis=1)]
Out of box:开箱即用:
df1 = df[df.sum(axis=1).gt(0)]
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