Comments (2)
josiahdavis
commented on May 29, 2024
I just downloaded through clicking, then used this to concatenate:
import pandas as pd
import glob
files = glob.glob("data/PRICE_AND_DEMAND*.csv")
d = pd.concat([pd.read_csv(f) for f in files], axis=0, ignore_index=True)
d.to_csv("data/PRICE_AND_DEMAND_2020FULL_NSW1.csv", index=False)from sagemaker-rl-energy-storage-system.
yapweiyih
commented on May 29, 2024
Issue closed with #3
from sagemaker-rl-energy-storage-system.
Related Issues (19)
- Refactor src/share to src/energy_storage_system
- pip package to cover gym environment setup HOT 1
- Duplicate file: `battery_env_sm.py` HOT 2
- Do not use Python's `site-packages` as default sample data. HOT 3
- Why SageMaker train entrypoint sets use PyTorch = True? HOT 1
- setup.py for the battery gym HOT 4
- Example how to run Streamlit demo HOT 2
- Fix bug in notebook HOT 1
- Cleanup unused file in smnb_utils HOT 1
- Support full year data for reproducibility
- Streamlit shows three charts briefly, then always two charts
- Document how to run Streamlit demo
- Document how to run Streamlit on SageMaker notebook instance
- Migrate streamlit demo code here HOT 1
- Train using custom container with SageMaker RL HOT 4
- Deploy trained agent endpoint using any existing framework
- Example on using hyper-parameter tuning
- Refactor SageMaker RL common files
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from sagemaker-rl-energy-storage-system.