while trying to read .csv to a spark dataframe using conda_python3 kernel in sagemaker AWS. getting an error

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### System Information
- **Spark or PySpark**:
- **SDK Version**:
- **Spark Version**:
- **Algorithm (e.g. KMeans)**:

### Describe the problem
while trying to read .csv to a spark dataframe using conda_python3 kernel in sagemaker AWS. getting an error. How t read a file from s3. I have tried using boto3, still getting the same error. If any changes has to be done using shell please specify the steps to do it in AWS an I am new to AWS.

### Minimal repo / logs
Py4JavaError: An error occured while calling o138.csv
: java.io.IOException: No FileSystem for scheme: s3
.
.
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- **Exact command to reproduce**:

No repository file, test, version, or exact command is provided. Start by reproducing the CSV read in the conda_python3 kernel on SageMaker with the reported S3 path, capturing the complete Py4JavaError and Spark configuration; done means a minimal reproducible case and a confirmed way to read the S3 CSV without the “No FileSystem for scheme: s3” error.

Written by the indexing model from the issue text.