/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)
G60邮政业
date open ... cum_volume_year cum_amount_year
0 2000-06-08 4.708480 ... 2.107157e+03 9.433176e+03
1 2000-06-09 4.239986 ... 2.540134e+03 1.124191e+04
2 2000-06-12 4.070481 ... 2.691339e+03 1.185949e+04
3 2000-06-13 4.145817 ... 2.891501e+03 1.271259e+04
4 2000-06-14 4.214090 ... 3.051456e+03 1.339069e+04
... ... ... ... ... ...
6369 2026-11-02 70.620000 ... 2.038626e+06 3.563835e+07
6370 2026-11-03 71.270000 ... 2.050331e+06 3.586301e+07
6371 2026-11-04 72.950000 ... 2.061079e+06 3.607200e+07
6372 2026-11-05 73.570000 ... 2.071710e+06 3.628658e+07
6373 2026-11-06 73.940000 ... 2.078475e+06 3.640970e+07
[6374 rows x 26 columns]