pandalchemy 0.0.3

A package that integrates pandas and sqlaclhemy.

pandalchemy: an intuitive combination of pandas and sqlalchemy to manipulate databases with pandas

What is it?

pandalchemy is a Python package that lets Data Scientists create and manipulte databases with the pandas package that they know and love without needing to learn the ins and outs of sqlalchemy.

Main Features

Here are just a few of the things that pandaclehmy does:

• Pulls down any sql table with sqlalchemy and maintains all data types, keys, and indexes when you make your changes.
• Adds a primary key to a new table, something pandas to_sql method does not do.
• Add or delete columns in a database table thanks to sqlalchemy-migrate.

Where to get it

The source code is currently hosted on GitHub at: https://github.com/eddiethedean/pandalchemy

# PyPI
pip install pandalchemy

Dependencies

• pandas
• sqlalchemy==1.3.18
• sqlacodegen
• sqlalchemy==1.3.18
• numpy

Example code

from sqlalchemy import create_engine import pandalchemy as ba

Use sqlalchemy to create an engine to connect to existing database

engine = create_engine('postgresql://scott:tiger@localhost:5432/mydatabase')

Initialize a pandalchemy DataBase object

db = ba.DataBase(engine)

Accessing a table by name gives you a DataFrame like Table object

tbl = db['test_table']

Make changes to the Table just like you would a pandas DataFrame

tbl['age'] = [age + 1 for age in tbl['age']]

Use the push method to push all your changes to your database

db.push()