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A simple boto3 wrapper to complete common operations in S3 such as get or put csv files, list objects and keys, etc.

Project description

pyboto

Wrapper for commonly used boto3 when working with data stored in AWS S3.

Install

Setup

Be sure to set up your AWS authentication credentials. You can do so by using the aws cli and running

pip install awscli aws configure More help on configuring the aws cli here https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html

Simple Usage

import pyboto

boto_obj = pyboto.Boto('us-east-1')
result = boto_obj.get_keys('myBucket', 'myKeyPrefix')
print(result)

df = boto_obj.get_csv_as_df('myBucket', 'myKey', sep=',')

Full Usage

boto_obj.get_keys('myBucket', 'myKeyPrefix')

boto_obj.get_csv_as_df('myBucket', 'myKey', sep=',', skiprows: int, encoding: str, dtype, column_name)

boto_obj.get_file('myBucket', 'myKey')

boto_obj.get_excel('myBucket', 'myKey', engine: str)

boto_obj.put_df('myBucket', 'myKey', pandas_dataframe, header: bool, index: bool, sep=',')

boto_obj.put_file(bucket='myBucket', key='myKey', file_or_buffer=contents)

boto_obj.put_excel('myBucket', 'myKey', pandas_dataframe, header: bool, index: bool):

Note

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