Iterate over pandas dataframe columns containing nested arrays

Question

I hope you can help me with this issue,

I\'ve this data below (Columns names whatever)

data=([[\'file0090\',
    ([[ 84,  55, 189],
   [248, 100,  18],
         


        

Answer 1

You can do explode with a join after crreating another df from the series of lists:

df = pd.DataFrame(data).add_prefix('col')

out = df.explode('col1').reset_index(drop=True)
out = out.join(pd.DataFrame(out.pop('col1').tolist()).add_prefix('col_'))

Adding another solution if the list structure is similar:

l = [*itertools.chain.from_iterable(data)]
pd.DataFrame(np.vstack(l[1::2]),index = np.repeat(l[::2],len(l[1])))

---

      col0  col_0  col_1  col_2
0  file0090     84     55    189
1  file0090    248    100     18
2  file0090     68    115     88
3  file6565     86     58    189
4  file6565     24     10    118
5  file6565     68     11      8