pytorch/浙江电压等级电量/分压_移动平均.py

import pandas as pd

df = pd.read_excel(r'C:\Users\鸽子\Desktop\浙江power1225.xlsx', sheet_name=1)
df['pt_date'] = pd.to_datetime(df['pt_date'])

# 移动平均
dict_big = {}
dict_ok = {}

for city in df['city_name'].drop_duplicates():

    df_city1 = df[(df['city_name'] == city) & (df['county_name'].isnull())].set_index('pt_date').loc['2023-12']
    resut_df = pd.DataFrame({})
    index_level = []
    tq_list = []
    pred_list = []
    loss_list = []
    rate_list = []

    for level in df_city1.columns[2:]:

        # index_level.append(level)
        df_moving_avg = pd.DataFrame(df_city1[level], index=df_city1.index)
        future = pd.date_range(start='2023-12-26', periods=5, freq='D')

        for date in future:
            df_moving_avg.loc[date, level] = df_moving_avg[-3:].mean().values
        resut_df = pd.concat([resut_df, df_moving_avg], axis=1)
        print(city[4:6])
        print(resut_df)

        # loss = (df_city1[level].tail(-3).sum() - df_moving_avg.tail(-3).sum()) / df_city1[level].sum()
        # tq_list.append(df_city1[level].sum())
        # pred_list.append(df_moving_avg[level].sum())
        # loss_list.append(df_city1[level].sum() - df_moving_avg[level].sum())
        # rate_list.append((df_city1[level].sum() - df_moving_avg[level].sum()) / df_city1[level].sum())
    # resut_df = pd.DataFrame({'同期电量': tq_list, '预测电量': pred_list, '偏差': loss_list, '偏差率': rate_list},
    #                         index=index_level)
    # resut_df = pd.DataFrame({'预测电量': pred_list},index=index_level)

    with pd.ExcelWriter(r'C:\Users\鸽子\Desktop\市分压电量预测_1227.xlsx', mode='a', if_sheet_exists='replace',
                        engine='openpyxl') as writer:
        resut_df.to_excel(writer, sheet_name=f'{city[4:6]}')

# excel_file = pd.ExcelFile(r'C:\Users\鸽子\Desktop\11月移动平均分压.xlsx')
# df1 = pd.read_excel(excel_file, sheet_name=1)
# df1.set_index(df1.columns[0], inplace=True)
# for sheet in excel_file.sheet_names[2:]:
#     df = pd.read_excel(excel_file, sheet_name=sheet)
#     df.set_index(df.columns[0], inplace=True)
#     df1 += df
# df1['偏差'] = df1['同期电量'] - df1['预测电量']
# df1['偏差率'] = df1['偏差'] / df1['同期电量']
# df1.to_excel('移动平均_11月分压汇总.xlsx')
# print(df1)