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修复数据清洗index越界错误；重命名压力流量清洗方法

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Jiang
2026-02-02 14:15:54 +08:00
parent c3c26fb107
commit 3c7e2c5806
10 changed files with 116 additions and 60 deletions
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8
scripts/online_Analysis.py
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@@ -19,8 +19,8 @@ from sqlalchemy import create_engine
import ast
import app.services.project_info as project_info
import app.algorithms.api_ex.kmeans_sensor as kmeans_sensor
import app.algorithms.api_ex.Fdataclean as Fdataclean
import app.algorithms.api_ex.Pdataclean as Pdataclean
import app.algorithms.api_ex.flow_data_clean as flow_data_clean
import app.algorithms.api_ex.pressure_data_clean as pressure_data_clean
import app.algorithms.api_ex.sensitivity as sensitivity
from app.native.api.postgresql_info import get_pgconn_string
@@ -1475,7 +1475,7 @@ def flow_data_clean(input_csv_file: str) -> str:
if not os.path.exists(input_csv_path):
raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
# 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
out_xlsx_path = Fdataclean.clean_flow_data_kf(input_csv_path)
out_xlsx_path = flow_data_clean.clean_flow_data_kf(input_csv_path)
print("清洗后的数据已保存到:", out_xlsx_path)
@@ -1502,7 +1502,7 @@ def pressure_data_clean(input_csv_file: str) -> str:
if not os.path.exists(input_csv_path):
raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
# 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
out_xlsx_path = Pdataclean.clean_pressure_data_km(input_csv_path)
out_xlsx_path = pressure_data_clean.clean_pressure_data_km(input_csv_path)
print("清洗后的数据已保存到:", out_xlsx_path)