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Connect Jupyter Notebook Pandas to Postgres



First install Python library Psycopg2 to connect to PostgreSQL:

!pip install psycopg2

Now import the necessary libraries:

import pandas as pd
import psycopg2 as pg
import pandas.io.sql as psql

Connect to the DB Server:

conn = pg.connect("postgres://username:password@server:port/dbname")

Execute a Query:
df = pd.read_sql('select* from table_name', conn)
df.head()
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Comments

  1. Anonymous23 August 2026 at 08:42

    great

    ReplyDelete
  2. Anonymous23 August 2026 at 08:43

    Connecting PostgreSQL with Python through Psycopg2 and Pandas is a practical way to bring database data into a DataFrame for analysis. The example demonstrates installing the required library, importing pandas and psycopg2, and establishing a database connection before executing a SQL query. Pandas Online Course

    ReplyDelete
  3. Anonymous23 August 2026 at 08:44

    Once the connection is established, pd.read_sql() can be used to retrieve records directly into a Pandas DataFrame. Calling df.head() then provides a quick way to inspect the first few rows and verify that the query has returned data as expected. Python Course in Chennai Python Projects For Final Year

    ReplyDelete

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