import pandas as pd
a = [['a', [11,22]],['b',[33,44]]]
df = pd.DataFrame(a)
df = df.transpose()
print(df)
print(df[1][1])
print(type(df[1][1]))
b = df[1][1]
print(b[1])
print(type(b[1]))
df.to_csv('i.csv', sep = ',', header = None, encoding='1251', index = False)
dff = pd.read_csv('ii.csv',sep = ',', header = None, encoding='1251')
print(dff)
print(type(dff))
ind = dff[1][1]
print(ind)
print(type(ind))
ii = ind[0]
print(ii)
print(type(ii))

In [2]: df
Out[2]:
          0         1
0         a         b
1  [11, 22]  [33, 44]

In [3]: df.dtypes
Out[3]:
0    object
1    object
dtype: object

a,b
"[11, 22]","[33, 44]"

In [7]: d2 = pd.read_csv(r'D:tempi.csv')

In [8]: d2
Out[8]:
          a         b
0  [11, 22]  [33, 44]

In [9]: d2.iat[0,0]
Out[9]: '[11, 22]'

In [10]: type(d2.iat[0,0])
Out[10]: str

In [11]: df
Out[11]:
          0         1
0         a         b
1  [11, 22]  [33, 44]

In [12]: df.sum()
Out[12]: Series([], dtype: float64)

In [13]: df.sum(axis=1)
Out[13]:
0                  ab
1    [11, 22, 33, 44]
dtype: object

In [14]: df.max()
Out[14]: Series([], dtype: float64)

In [15]: df.max(axis=1)
Out[15]:
0           b
1    [33, 44]
dtype: object