energy-data-trans/tmp_file/白玉山限电损失.py

from os import *

import pandas as pd

read_path = r'D:\data\白玉山后评估数据资料\需要整理的数据\每月发电量和限电量、限电率'

all_paths = list()
for root, dirs, files in walk(read_path):
    if files:
        for file in files:
            year_mont = int(file.split("(")[1].split("_")[0])
            if year_mont >= 20230901 and year_mont < 20240901:
                all_paths.append(path.join(root, file))

df = pd.DataFrame()

for path in all_paths:
    now_df = pd.read_excel(path, usecols=['设备名称', '统计时间', '限电损失电量(kWh)'], header=2)
    now_df = now_df[now_df['设备名称'].str.startswith("#")]
    df = pd.concat([df, now_df])

## 人工验证 看一看
print(df[df['设备名称'] == '#34'])

df = df[['设备名称', '限电损失电量(kWh)']]
group_df = df.groupby('设备名称').sum()

result_df = pd.DataFrame(group_df)
result_df.reset_index(inplace=True)
result_df.columns = ['设备名称', '总限电损失电量(kWh)']
result_df.sort_values(by=['设备名称'], inplace=True)

print(result_df)

result_df.to_csv("设备总限电损失.csv", encoding='utf-8', index=False)