使用s3_client get_object。https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html#S3.Client.get_object
如果对象不存在，则抛出异常S3.Client.exceptions.NoSuchKey
检查以下样本

try:
            s3_client.get_object(
                Bucket=self._bucket,
                Key=key,
            )
            return True
        except s3_client.exceptions.NoSuchKey:
            return False

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除了boto 3客户端，你可以使用s3 fs包。安装：

pip install s3fs

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S3_URI看起来像这样：“s3：//your_bucket_name/folder/test.csv”
要读取或写入csv文件到s3，您可以使用aws wrangler。

pip install awswrangler

import awswrangler as wr

# AWS S3 configuration
s3_bucket_name = 'your-s3-bucket-name'
s3_object_key = 'path/to/your/csv-file.csv'
aws_access_key_id = 'your-access-key-id'
aws_secret_access_key = 'your-secret-access-key'
aws_region = 'your-aws-region'

# Read the CSV file from S3
df = wr.s3.read_csv(
    path=f's3://{s3_bucket_name}/{s3_object_key}',
    boto3_session=wr.Session(aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key, region_name=aws_region),
)

# Now you can work with the DataFrame 'df' as needed
print(df.head())