fix: 战略地图P0修复 — KPI code统一+放开同层连线+数据迁移

This commit is contained in:
Hermes CI Fix
2026-07-14 16:02:33 +08:00
parent c7d436ec7a
commit 6218a7d2db
8775 changed files with 4125 additions and 1758555 deletions
File diff suppressed because it is too large Load Diff
@@ -1,43 +0,0 @@
_chained_assignment_msg = (
"A value is being set on a copy of a DataFrame or Series "
"through chained assignment.\n"
"Such chained assignment never works to update the original DataFrame or "
"Series, because the intermediate object on which we are setting values "
"always behaves as a copy (due to Copy-on-Write).\n\n"
"Try using '.loc[row_indexer, col_indexer] = value' instead, to perform "
"the assignment in a single step.\n\n"
"See the documentation for a more detailed explanation: "
"https://pandas.pydata.org/pandas-docs/stable/user_guide/"
"copy_on_write.html#chained-assignment"
)
_chained_assignment_method_msg = (
"A value is being set on a copy of a DataFrame or Series "
"through chained assignment using an inplace method.\n"
"Such inplace method never works to update the original DataFrame or Series, "
"because the intermediate object on which we are setting values always "
"behaves as a copy (due to Copy-on-Write).\n\n"
"For example, when doing 'df[col].method(value, inplace=True)', try "
"using 'df.method({col: value}, inplace=True)' instead, to perform "
"the operation inplace on the original object, or try to avoid an inplace "
"operation using 'df[col] = df[col].method(value)'.\n\n"
"See the documentation for a more detailed explanation: "
"https://pandas.pydata.org/pandas-docs/stable/user_guide/"
"copy_on_write.html"
)
_chained_assignment_method_update_msg = (
"A value is being set on a copy of a DataFrame or Series "
"through chained assignment using an inplace method.\n"
"Such inplace method never works to update the original DataFrame or Series, "
"because the intermediate object on which we are setting values always "
"behaves as a copy (due to Copy-on-Write).\n\n"
"For example, when doing 'df[col].update(other)', try "
"using 'df.update({col: other})' instead, to perform "
"the operation inplace on the original object.\n\n"
"See the documentation for a more detailed explanation: "
"https://pandas.pydata.org/pandas-docs/stable/user_guide/"
"copy_on_write.html"
)