You can use:

df = pd.DataFrame([A])
print (df)
   0  1  2    3 4
0  1  d  p  bab  

If all values are strings:

df = pd.DataFrame(np.array(A).reshape(-1,len(A)))
print (df)

   0  1  2    3 4
0  1  d  p  bab  

Thank you AKS:

df = pd.DataFrame(A).T
print (df)
   0  1  2    3 4
0  1  d  p  bab  

This is somewhat peripheral to your particular issue, but I figured I would post it in case it helps someone else out.

To convert a list of lists (and give each column a name), just pass the list to the data attribute (along with your desired column names) when instantiating the new dataframe, like so:

my_python_list = [['foo1', 'bar1'],
                  ['foo2', 'bar2']]
new_df = pd.DataFrame(columns=['my_column_name_1', 'my_column_name_2'], data=my_python_list)

result:

  my_column_name_1 my_column_name_2
0             foo1             bar1
1             foo2             bar2