Efficient way to unnest (explode) multiple list columns in a pandas DataFrame

Question

I am reading multiple JSON objects into one DataFrame. The problem is that some of the columns are lists. Also, the data is very big and because of that I cannot use the ava

Answer 1

Use set_index on A and on remaining columns apply and stack the values. All of this condensed into a single liner.

In [1253]: (df.set_index('A')
              .apply(lambda x: x.apply(pd.Series).stack())
              .reset_index()
              .drop('level_1', 1))
Out[1253]:
    A   B   C   D   E
0  x1  v1  c1  d1  e1
1  x1  v2  c2  d2  e2
2  x2  v3  c3  d3  e3
3  x2  v4  c4  d4  e4
4  x3  v5  c5  d5  e5
5  x3  v6  c6  d6  e6
6  x4  v7  c7  d7  e7
7  x4  v8  c8  d8  e8