/Volumes/TIME/M/getindustry.py:35: Pandas4Warning: The inplace keyword in DataFrame.sort_values is deprecated and will be removed in a future version (PDEP-8).
See https://pandas.pydata.org/docs/dev/whatsnew/v3.1.0.html#deprecation-inplace for more details.
result.sort_values(axis=0,ascending=True,by=["date"],inplace=True)
A01农业
date open ... cum_volume_year cum_amount_year
0 1997-08-18 1.284001 ... 2.706080e+03 3.200943e+03
1 1997-08-19 1.125866 ... 3.477447e+03 4.098654e+03
2 1997-08-20 1.135327 ... 4.041786e+03 4.750667e+03
3 1997-08-21 1.186687 ... 4.477780e+03 5.265502e+03
4 1997-08-22 1.173171 ... 5.056467e+03 5.948386e+03
... ... ... ... ... ...
7070 2026-11-02 48.700000 ... 7.231554e+06 4.970682e+07
7071 2026-11-03 49.630000 ... 7.254559e+06 4.982733e+07
7072 2026-11-04 50.010000 ... 7.290222e+06 5.000661e+07
7073 2026-11-05 50.240000 ... 7.320934e+06 5.016937e+07
7074 2026-11-06 49.870000 ... 7.369218e+06 5.040048e+07
[7075 rows x 26 columns]