[英]Remove rows in pandas dataframe if any of specific columns contains a specific value
I have the following df:我有以下df:
I have not been able to figure out how to delete a row if any of the columns containing the word "test" is less than 95. For example, I would have to delete the entire index row 1 because the column "heat.test" is 80 (the same for rows 0 and 3).如果包含单词“test”的任何列小于 95,我无法弄清楚如何删除一行。例如,我将不得不删除整个索引第 1 行,因为列“heat.test”为 80(第 0 行和第 3 行相同)。 In other words, if only one column meets this condition, the whole row must be deleted.
换句话说,如果只有一列满足该条件,则必须删除整行。
Thank you!谢谢!
Your question was not clear.你的问题不清楚。 Did you mean that a row need to be delete if
pump.test < 95
or feed.test < 95
?您的意思是如果
pump.test < 95
或feed.test < 95
需要删除一行?
In that case don't delete or remove just do it the other way around und do a positive selection .在这种情况下,不要删除或删除,只是反过来做,然后做一个积极的选择。 Select all rows where
feed.test
and pump.test
is equal or greater then 95
.选择
feed.test
和pump.test
等于或大于95
的所有行。
df.loc[df['feed.test'].ge(95) & df['pump.test'].ge(95)]
I think this is what you're asking:我想这就是你要问的:
df[~(df.le(95) & df.columns.str.contains("test"))].dropna()
Example ( df
):示例(
df
):
pump.test Speed feed.test water
0 100 1000 70 0.2
1 100 2000 100 0.3
2 100 3000 100 0.4
3 95 4000 100 0.5
Output of the operation above:上述操作的输出:
pump.test Speed feed.test water
1 100 2000 100 0.3
2 100 3000 100 0.4
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