通过迭代pandas中的值列表，根据单元格中的值删除行

Question

I have a list of values and a dataframe. What I want to do is use a foreach loop going through the list and for each item in the list drop the corresponding row from the dataframe:

irrelevantList=['Blackcurrants', 'Cherries', '', 'Damsons', 'Gooseberries', 'Pears', 'Plums and Gages',]

fruitveg_df this one contains lots of colums and rows(there is a column with label '2004').

I tired this:

for item in irrelevantList:
    fruitveg_df.drop(fruitveg_df['2004']==item, inplace=True)

but it is not working. Can somebody help please?

Answer 1

我的猜测是你需要：

fruitveg_df = fruitveg_df[~fruitveg_df['2004'].isin(irrelevantList)]

Answer 2

让我们调用df您的数据框并说您想删除列fruit项目

df = df[~df["fruit"].isin(irrelevantList)]