如何从包含特定列中的特定字符串（多个）的 Pandas 数据框中删除行？

Question

I have been trying this creating multiple dataframes to create multiple strings, but I am not able to remove strings more than 2 only thing is i wanted multiple strings to be removed.

data3 = data[~data.column.str.contains("remove words")]
data3 = data3[~data3.column.str.contains("remove me")]

data3.count

I have tried this but no good.

df = df[~df.column.isin(['remove words'])]

or

df = df[~df.column.isin(['remove words', 'remove me'])]

Answer 1

You simply need to add loc . When a boolean mask is applied to a dataframe/series, only the explicit loc notation will do the trick.

df.loc[~df.column.isin(['remove words', 'remove me'])]

Answer 2

I think you were on the right path.

Let's define a toy dataframe:

>>> df = pd.DataFrame([("i have a car", 2), 
    ("cows make milk", 3), 
    ("try this remove me stuff", 5), 
    ("please remove words", 51)], 
    columns=["text", "number"])

And here you go:

>>> words_to_avoid = ["remove me", "remove words"]
>>> df[df.text.apply(
        lambda txt: not any([word_to_avoid in txt for word_to_avoid in words_to_avoid])
    )]

    text    number
0   car       2
1   cow       3

Answer 3

试试这个方法：

df2 = df1[~df1.column.str.contains('remove words|remove me', regex=True)]