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add read sell data

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Hanzhang Ma 2024-05-10 17:40:54 +02:00
parent a330946f71
commit ebebd2d481
1 changed files with 13 additions and 25 deletions
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36
read_data.py
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@ -5,6 +5,7 @@ import csv
sunlight_file_name = 'lightintensity.xlsx'
factory_demand_file_name = 'factory_power1.xlsx'
electricity_price_data = 'electricity_price_data.csv'
electricity_price_data_sell = 'electricity_price_data_sell.csv'
df_sunlight = pd.read_excel(sunlight_file_name, header=None, names=['SunlightIntensity'])
@ -27,40 +28,27 @@ print(df_power.head())
df_combined = df_sunlight_resampled.join(df_power)
df_combined.to_csv('combined_data.csv', index=True, index_label='Time')
def read_csv(file_path):
return pd.read_csv(file_path, index_col='Time', usecols=['Time', 'ElectricityPrice'])
# price_data = np.random.uniform(0.3, 0.3, len(times))
# 创建DataFrame
price_df = read_csv(electricity_price_data)
price_df = pd.read_csv(electricity_price_data, index_col='Time', usecols=['Time', 'ElectricityBuy'])
price_df.index = pd.to_datetime(price_df.index)
price_df = price_df.reindex(df_combined.index)
# price_df.set_index('Time', inplace=True)
# 保存到CSV文件
# price_df.to_csv('electricity_price_data.csv', index=True)
print("price____")
print(price_df.index)
print("df_combined____")
print(df_combined.index)
print("Electricity price data generated and saved.")
df_combined2 = df_combined.join(price_df)
print(df_combined2.head())
# 保存结果
sell_df = pd.read_csv(electricity_price_data_sell, index_col='Time', usecols=['Time', 'ElectricitySell'])
sell_df.index = pd.to_datetime(sell_df.index)
sell_df = sell_df.reindex(df_combined.index)
df_combined3 = df_combined2.join(sell_df)
with open('combined_data.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerow(['time', 'sunlight', 'demand','price'])
writer.writerow(['time', 'sunlight', 'demand','buy', 'sell'])
cnt = 0
for index, row in df_combined2.iterrows():
for index, row in df_combined3.iterrows():
time_formatted = index.strftime('%H:%M')
writer.writerow([time_formatted, row['SunlightIntensity'], row['FactoryPower'],row['ElectricityPrice']])
writer.writerow([time_formatted, row['SunlightIntensity'], row['FactoryPower'],row['ElectricityBuy'], row['ElectricitySell']])
print('The file is written to combined_data.csv')