df = DataSource('bar1d_CN_STOCK_A').read(['603200.SHA','300811.SZA'],'2022-02-05','2022-02-17',fields=['amount'])
df
| date | amount | instrument | |
|---|---|---|---|
| 0 | 2022-02-07 | 163061710.0 | 300811.SZA |
| 1 | 2022-02-07 | 28943729.0 | 603200.SHA |
| 2 | 2022-02-08 | 58631324.0 | 300811.SZA |
| 3 | 2022-02-08 | 23424152.0 | 603200.SHA |
| 4 | 2022-02-09 | 93738791.0 | 300811.SZA |
| 5 | 2022-02-09 | 22238813.0 | 603200.SHA |
| 6 | 2022-02-10 | 152379483.0 | 300811.SZA |
| 7 | 2022-02-10 | 54036373.0 | 603200.SHA |
| 8 | 2022-02-11 | 150708729.0 | 300811.SZA |
| 9 | 2022-02-11 | 31028277.0 | 603200.SHA |
| 10 | 2022-02-14 | 98967209.0 | 300811.SZA |
| 11 | 2022-02-14 | 22328321.0 | 603200.SHA |
| 12 | 2022-02-15 | 103157341.0 | 300811.SZA |
| 13 | 2022-02-15 | 22535361.0 | 603200.SHA |
| 14 | 2022-02-16 | 50458397.0 | 300811.SZA |
| 15 | 2022-02-16 | 59357265.0 | 603200.SHA |
| 16 | 2022-02-17 | 167853316.0 | 300811.SZA |
| 17 | 2022-02-17 | 59773494.0 | 603200.SHA |
df['cumsum_amo']=df['amount'].cumsum()/10000
df
| date | amount | instrument | cumsum_amo | |
|---|---|---|---|---|
| 0 | 2022-02-07 | 163061710.0 | 300811.SZA | 16306.1710 |
| 1 | 2022-02-07 | 28943729.0 | 603200.SHA | 19200.5439 |
| 2 | 2022-02-08 | 58631324.0 | 300811.SZA | 25063.6763 |
| 3 | 2022-02-08 | 23424152.0 | 603200.SHA | 27406.0915 |
| 4 | 2022-02-09 | 93738791.0 | 300811.SZA | 36779.9706 |
| 5 | 2022-02-09 | 22238813.0 | 603200.SHA | 39003.8519 |
| 6 | 2022-02-10 | 152379483.0 | 300811.SZA | 54241.8002 |
| 7 | 2022-02-10 | 54036373.0 | 603200.SHA | 59645.4375 |
| 8 | 2022-02-11 | 150708729.0 | 300811.SZA | 74716.3104 |
| 9 | 2022-02-11 | 31028277.0 | 603200.SHA | 77819.1381 |
| 10 | 2022-02-14 | 98967209.0 | 300811.SZA | 87715.8590 |
| 11 | 2022-02-14 | 22328321.0 | 603200.SHA | 89948.6911 |
| 12 | 2022-02-15 | 103157341.0 | 300811.SZA | 100264.4252 |
| 13 | 2022-02-15 | 22535361.0 | 603200.SHA | 102517.9613 |
| 14 | 2022-02-16 | 50458397.0 | 300811.SZA | 107563.8010 |
| 15 | 2022-02-16 | 59357265.0 | 603200.SHA | 113499.5275 |
| 16 | 2022-02-17 | 167853316.0 | 300811.SZA | 130284.8591 |
| 17 | 2022-02-17 | 59773494.0 | 603200.SHA | 136262.2085 |