我有一个包含10行的DataFrame,我想在这10行中再添加三个表,以便它们一个接一个地继续。下一张表以11和21的第三个开始。
这是DataFrame
Date Open High Low Close Adj Close Volume
0 2019-01-17 346.209991 351.500000 344.149994 347.309998 347.309998 3676700
1 2019-01-18 323.000000 327.130005 299.730011 302.260010 302.260010 24150800
2 2019-01-22 304.820007 308.000000 295.500000 298.920013 298.920013 12066700
3 2019-01-23 292.500000 294.500000 281.690002 287.589996 287.589996 12530000
4 2019-01-24 283.029999 293.679993 279.279999 291.510010 291.510010 8012200
5 2019-01-25 294.390015 298.519989 289.549988 297.040009 297.040009 7249600
6 2019-01-28 292.910004 297.459991 287.750000 296.380005 296.380005 6423300
7 2019-01-29 295.269989 298.559998 291.799988 297.459991 297.459991 4621700
8 2019-01-30 300.450012 309.000000 298.489990 308.769989 308.769989 11250300
9 2019-01-31 301.000000 311.559998 294.000000 307.019989 307.019989 12569200
10 2019-02-01 305.420013 316.100006 303.500000 312.209991 312.209991 7283400
答案 0 :(得分:0)
您可以使用pandas.DataFrame.append
。从文档中:
df1 = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
combined_df = df1.append(df2)