- DataFrame.to_s3(bucket, key, region, sep=',', batch_size=50000)¶
Writes the underlying data into a newly created CSV file located in an S3 bucket.
NOTE THAT S3 IS NOT SUPPORTED ON WINDOWS.
- bucket (str):
The bucket from which to read the files.
- key (str):
The key in the S3 bucket in which you want to write the output. The ending “.csv” and an optional batch number will be added automatically.
- region (str):
The region in which the bucket is located.
- sep (str, optional):
The character used for separating fields.
- batch_size(int, optional):
Maximum number of lines per file. Set to 0 to read the entire data frame into a single file.
>>> getml.engine.set_s3_access_key_id("YOUR-ACCESS-KEY-ID") >>> >>> getml.engine.set_s3_secret_access_key("YOUR-SECRET-ACCESS-KEY") >>> >>> your_df.to_s3( ... bucket="your-bucket-name", ... key="filename-on-s3", ... region="us-east-2", ... sep=';' ... )