Writing a pickle file to an s3 bucket in AWS

Question

I'm trying to write a pandas dataframe as a pickle file into an s3 bucket in AWS. I know that I can write dataframe new_df as a csv to an s3 bucket as follows:

bucket='mybucket' key='path'  csv_buffer = StringIO() s3_resource = boto3.resource('s3')  new_df.to_csv(csv_buffer, index=False) s3_resource.Object(bucket,path).put(Body=csv_buffer.getvalue()) 

I've tried using the same code as above with to_pickle() but with no success.

Answer 1

Further to you answer, you don't need to convert to csv. pickle.dumps method returns a byte obj. see here: https://docs.python.org/3/library/pickle.html

import boto3 import pickle  bucket='your_bucket_name' key='your_pickle_filename.pkl' pickle_byte_obj = pickle.dumps([var1, var2, ..., varn])  s3_resource = boto3.resource('s3') s3_resource.Object(bucket,key).put(Body=pickle_byte_obj) 

Answer 2

I've found the solution, need to call BytesIO into the buffer for pickle files instead of StringIO (which are for CSV files).

import io import boto3  pickle_buffer = io.BytesIO() s3_resource = boto3.resource('s3')  new_df.to_pickle(pickle_buffer) s3_resource.Object(bucket, key).put(Body=pickle_buffer.getvalue())