Hey everyone! I'm working with an Excel sheet that has around 37 columns filled with numbers. I want to calculate all of them using Python, but I'm pretty new to the language and need some guidance. I've listed some required columns below:
- cola_Collected_energy
- cola_Boiler_steam_energy_daily
- cola_Solar_steam_energy
- cola_Inlet_water_energy
- cola_Useful_PWR
- TriggerTime
- cola_DNI
- cola_Flow_total_steam
- cola_Flow_water_in
- cola_T2
- cola_T1
- cola_T9
- cola_Outlet_water_energy
Whenever I try adding more columns, my CPU struggles, so I'm wondering if there's a better way to handle this task?
1 Answer
First off, you're going to want to share your actual code for better help! It’s easier to provide specific advice that way. Also, consider using libraries like Pandas, which can handle large datasets more efficiently in Python. It’ll help you read your Excel file and process those columns without stressing your CPU too much. Let me know if you need help getting started with that!
Yea, and if you run into memory issues, using Dask can also help manage computations on larger datasets.
Totally agree! Pandas is a game-changer for data handling. You can load your Excel file into a DataFrame and perform calculations on entire columns at once, which is way faster than looping through each cell.