I have a dataframe having col2's value being list like
d = {'col1': [1, 2], 'col2': [['a','b','c'],['d','e','f']]}
df = pd.DataFrame(d)
df
col1 col2
0 1 [a, b, c]
1 2 [d, e, f]
I want to convert col2 to a new dataframe
I was able to do like this...
Dataframe = pd.DataFrame()
for i in range(0,df3.shape[0]):
dff = pd.DataFrame(df3.col2[i]).T
Dataframe = Dataframe.append(dff)
Dataframe
. 0 1 2
0 a b c
0 d e f
But wondering is there any better way/any Function to convert that column to a new datafarme.?