Merge pull request #53 from arzoo0511/patch-2

Update getting_started.md

Author: jcamier

getting_started.md

@@ -178,7 +178,30 @@ APIs play a crucial role in fetching real-time and historical data required for
       - Use the `aws s3 ls` command to list the available objects in the bucket.
       - Example: `aws s3 ls --no-sign-request s3://ocf-open-data-pvnet/data/`
       - Use the `aws s3 cp` command to download the data to your local machine.
+        
+5.## Accessing GFS Data from S3
+The GFS data is stored in the S3 bucket `s3://ocf-open-data-pvnet/data/gfs.zarr/`. To access and work with this data, you can use Python libraries such as `xarray` and `s3fs`. These libraries allow you to directly read Zarr-formatted data from S3.
 
+### Prerequisites
+Before accessing the data, ensure you have the following Python packages installed:
+
+```bash
+pip install xarray zarr s3fs
+### Example Code
+
+Below is an example of how to open the GFS dataset from the S3 bucket using Python:
+
+```python
+import xarray as xr
+import s3fs
+# Create an S3 filesystem object
+s3 = s3fs.S3FileSystem(anon=True)
+# Open the GFS dataset from the S3 bucket
+dataset_path = 's3://ocf-open-data-pvnet/data/gfs.zarr/'
+ds = xr.open_zarr(s3.get_mapper(dataset_path), consolidated=True)
+# Display the dataset
+print(ds)
+---
 
 ### Best Practices for Using APIs