python& pandas :如何查询列表类型列是否包含某些内容?

问题描述

我有一个数据框，其中包含有关电影的信息.它有一个名为genre的列，其中包含它所属的流派列表.例如:

I have a dataframe, which contains info about movies. It has a column called genre, which contains a list of genres it belongs to. For example:

df['genre']

## returns 

0       ['comedy', 'sci-fi']
1       ['action', 'romance', 'comedy']
2       ['documentary']
3       ['crime','horror']
...

我想知道如何查询数据帧，以便它返回属于某类型的电影?

I want to know how can I query the dataframe, so it returns the movie belongs to a cerain genre?

例如，类似df['genre'].contains('comedy')的东西可能返回0或1.

For example, something may like df['genre'].contains('comedy') returns 0 or 1.

我知道列表，我可以做类似的事情:

I know for a list, I can do things like:

'comedy' in  ['comedy', 'sci-fi']

但是，在大熊猫中，我没有找到类似的东西，我唯一知道的是df['genre'].str.contains()，但是它不适用于列表类型.

However, in pandas, I didn't find something similar, the only thing I know is df['genre'].str.contains(), but it didn't work for the list type.

推荐答案

您可以使用 apply 用于创建mask，然后创建 boolean indexing :

You can use apply for create mask and then boolean indexing:

mask = df.genre.apply(lambda x: 'comedy' in x)
df1 = df[mask]
print (df1)
                       genre
0           [comedy, sci-fi]
1  [action, romance, comedy]

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