/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)
empty
date open ... cum_volume_year cum_amount_year
0 1998-11-04 3.361555 ... 4.270663e+03 1.380886e+04
1 1998-11-05 3.204158 ... 6.714994e+03 2.212692e+04
2 1998-11-06 3.597651 ... 9.160718e+03 3.109487e+04
3 1998-11-09 3.648243 ... 1.023937e+04 3.503543e+04
4 1998-11-10 3.653865 ... 1.093836e+04 3.753797e+04
... ... ... ... ... ...
6614 2026-10-21 202.940000 ... 2.966330e+06 3.009310e+07
6615 2026-10-22 204.050000 ... 2.976294e+06 3.021422e+07
6616 2026-10-23 194.950000 ... 2.989969e+06 3.037156e+07
6617 2026-10-26 198.060000 ... 3.001094e+06 3.053066e+07
6618 2026-10-27 206.810000 ... 3.012709e+06 3.069703e+07
[6619 rows x 26 columns]