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A psycopg2 wrapper using pandas DataFrame to perform CRUD operations with PostgreSQL

Project Description


pip install pypostgres

Not tested in python 2.x


>>> from pypostgres import Postgres

# Database connection
# Params: database, user, password=None, host='localhost', port=5432
>>> db = Postgres('dbname', 'user',)

# Execute query
>>> db.query('SELECT * FROM dbname;', mode='read')
>>> [(1, 99, "def'abc"), (2, 100, "abc'def")]

# Insert query
>>> db.query('INSERT INTO dbname (a, b) VALUES (%s, %s);', (1, 2), mode='write')
# return None

# DataFrame query
>>> db.to_dataframe(['id', 'num', 'data'], 'dbname', conditions="num > 1")
    id    num       data
0  2.0  100.0  "abc'def"

# Inserting a DataFrame
>>> import pandas as pd
>>> df = pd.DataFrame([(3, 98, 'test')], columns=['id', 'num', 'data'])
>>> db.from_dataframe(df, 'dbname')
# return None
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pypostgres-0.4-py3-none-any.whl (5.5 kB) Copy SHA256 Checksum SHA256 3.5 Wheel Jun 14, 2016
pypostgres-0.4.tar.gz (16.1 kB) Copy SHA256 Checksum SHA256 Source Jun 14, 2016

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