saving csv file to s3 using boto3

2024/9/23 8:13:55

I am trying to write and save a CSV file to a specific folder in s3 (exist). this is my code:

from io import BytesIO
import pandas as pd
import boto3
s3 = boto3.resource('s3')d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)csv_buffer = BytesIO()bucket = 'bucketName/folder/'
filename = "test3.csv"
df.to_csv(csv_buffer)
content = csv_buffer.getvalue()def to_s3(bucket,filename,content):s3.Object(bucket,filename).put(Body=content)to_s3(bucket,filename,content)

this is the error that I get:

Invalid bucket name "bucketName/folder/": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$"

I also tried :

bucket = bucketName/folder

and:

bucket = bucketName
key = folder/
s3.Object(bucket,key,filename).put(Body=content)

Any suggestions?

Answer

Saving into s3 buckets can be also done with upload_file with an existing .csv file:

import boto3
s3 = boto3.resource('s3')bucket = 'bucket_name'
filename = 'file_name.csv'
s3.meta.client.upload_file(Filename = filename, Bucket= bucket, Key = filename)
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