make factory demand to csv file

2024-05-13 16:49:22 +02:00
parent c8c37b756c
commit 566ebca6cd
2 changed files with 35057 additions and 0 deletions
--- a/factory_power1.csv
+++ b/factory_power1.csv
--- a/xlsx2csv.py
+++ b/xlsx2csv.py
@@ -0,0 +1,16 @@
+import pandas as pd
+
+excel_file = 'factory_power1.xlsx'
+sheet_name = 'Sheet1'
+
+df = pd.read_excel(excel_file, sheet_name=sheet_name)
+
+start_date = '2023-01-01'
+df_power = pd.read_excel(excel_file, 
+                         header=None, 
+                         names=['FactoryPower'], 
+                         dtype={'FactoryPower': float})
+times = pd.date_range(start=start_date, periods=len(df_power), freq='15min')
+df_power['Time'] = times
+df_power = df_power[['Time', 'FactoryPower']]
+df_power.to_csv('factory_power1.csv', index=True)