Reputation: 49
So I have a dataframe like this:
df = {'c': ['A','B','C','D'],
'x': [[1,2,3],[2],[1,3],[1,2,5]]}
And I want to create another dataframe that contains only the rows that have a certain value contained in the lists of x. For example, if I only want the ones that contain a 3, to get something like:
df2 = {'c': ['A','C'],
'x': [[1,2,3],[1,3]]}
I am trying to do something like this:
df2 = df[(3 in df.x.tolist())]
But I am getting a
KeyError: False
exception. Any suggestion/idea? Many thanks!!!
Upvotes: 0
Views: 28
Reputation: 2615
Below code would help you
To create the Correct dataframe
df = pd.DataFrame({'c': ['A','B','C','D'],
'x': [[1,2,3],[2],[1,3],[1,2,5]]})
To filter the rows which contains 3
df[df.x.apply(lambda x: 3 in x)==True]
Output:
c x
0 A [1, 2, 3]
2 C [1, 3]
Upvotes: 1
Reputation: 195543
df = df[df.x.apply(lambda x: 3 in x)]
print(df)
Prints:
c x
0 A [1, 2, 3]
2 C [1, 3]
Upvotes: 2