| ammount = 11
|
| df = pd.DataFrame(
|
| data={'Close': [10,20,30,40,50,60,70,80,90,100,110], },
|
| index=pd.to_datetime([datetime(2023,3,d) for d in range(1, ammount+1)])
|
| )
|
|
|
|
|
| df2 = pd.DataFrame(
|
| data={'Open': [1000,2000,3000,4000,5000,6000,7000,8000,9000,10000,11000], },
|
| index=pd.to_datetime([datetime(2023,3,d) for d in range(1, ammount+1)])
|
| )
|
|
|
| df3 = pd.merge(df, df2, how='inner', left_index=True, right_index=True)
|
|
|
|
|
|
|
|
|
|
|
| Close Open
|
| 2023-03-01 10 1000
|
| 2023-03-02 20 2000
|
| 2023-03-03 30 3000
|
| 2023-03-04 40 4000
|
| 2023-03-05 50 5000
|
| 2023-03-06 60 6000
|
| 2023-03-07 70 7000
|
| 2023-03-08 80 8000
|
| 2023-03-09 90 9000
|
| 2023-03-10 100 10000
|
| 2023-03-11 110 11000
|
| 2023-03-01 False
|
| 2023-03-02 False
|
| 2023-03-03 False
|
| 2023-03-04 False
|
| 2023-03-05 False
|
| 2023-03-06 True
|
| 2023-03-07 True
|
| 2023-03-08 True
|
| 2023-03-09 True
|
| 2023-03-10 True
|
| 2023-03-11 True
|
| Name: Close, dtype: bool
|