How to convert a 2-D list (type is DataFrame)?

Question

I have 3 dataframe in list

import pandas as pd
import numpy as np

data1 = [['A',0],['B',0],['C',1]]
Data1 = pd.DataFrame(data1,columns=['Strategy','Weights'])

data2 = [['A',0],['B',1],['C',0]]
Data2 = pd.DataFrame(data2,columns=['Strategy','Weights'])

data3 = [['A',0],['B',1],['C',0]]
Data3 = pd.DataFrame(data3,columns=['Strategy','Weights'])

AA = []
AA.append(Data1)
AA.append(Data2)
AA.append(Data3)

I want to convert like the following: https://i.stack.imgur.com/rQM6H.png can someone help me finish it? and is there an easier way to do it?thank you very much

Answer 1

use df.concat(<listOfDataframe>) to combine multiple dataframe. ie

AA = pd.concat([Data1,Data2,Data3],ignore_index=True)

Edit

If you want to make new dataframe, the easier way to define it, IMO, is:

df = {
    'A':[0,0,0],
    'B':[0,1,0],
    'C':[0,1,0]
}
df = pd.DataFrame(df)