Postgresql

PostgreSQL query to Pandas DataFrame

Run an SQL query and create a pandas DataFrame. Use SELECT queries. Credentials are loaded from a .env file. Errors will raise exceptions.

mlmachine-learningsqlpostgrespsycopg

Required packages

You need below packages to use the code generated by recipe. All packages are automatically installed in MLJAR Studio.

psycopg[binary]>=3.2.1

pandas>=1.0.0

Interactive recipe

You can use below interactive recipe to generate code. This recipe is available in MLJAR Studio.

In the below recipe, we assume that you have following variables available in your notebook:

  • conn (type Connection)

Python code

# Python code will be here

Code explanation

  1. Check if there is an open connection.
  2. If not then open the connection.
  3. Try to run query.
  4. If run a select query, try to create data frame.
  5. Show df shape and head.
  6. If error occurs raise exception.

Example Python notebooks

Please find inspiration in example notebooks

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