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How to unnest (explode) a column in a pandas DataFrame, into multiple rows

I have the following DataFrame where one of the columns is an object (list type cell):

df=pd.DataFrame({'A':[1,2],'B':[[1,2],[1,2]]})
df
Out[458]: 
   A       B
0  1  [1, 2]
1  2  [1, 2]

My expected output is:

   A  B
0  1  1
1  1  2
3  2  1
4  2  2

What should I do to achieve this?


Related question

pandas: When cell contents are lists, create a row for each element in the list

Good question and answer but only handle one column with list(In my answer the self-def function will work for multiple columns, also the accepted answer is use the most time consuming apply , which is not recommended, check more info When should I ever want to use pandas apply() in my code?)

over 4 years ago · Santiago Trujillo
1 answers
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0

Exploding a list-like column has been simplified significantly in pandas 0.25 with the addition of the explode() method:

df = pd.DataFrame({'A': [1, 2], 'B': [[1, 2], [1, 2]]})
df.explode('B')

Out:

   A  B
0  1  1
0  1  2
1  2  1
1  2  2
over 4 years ago · Santiago Trujillo Report
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