...
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
About Article
Analyze Data
Archive
Best Practices
Better Outputs
Blog
Code Optimization
Code Quality
Command Line
Daily tips
Dashboard
Data Analysis & Manipulation
Data Engineer
Data Visualization
DataFrame
Delta Lake
DevOps
DuckDB
Environment Management
Feature Engineer
Git
Jupyter Notebook
LLM
LLM
Machine Learning
Machine Learning
Machine Learning & AI
Manage Data
MLOps
Natural Language Processing
NumPy
Pandas
Polars
PySpark
Python Tips
Python Utilities
Python Utilities
Scrape Data
SQL
Testing
Time Series
Tools
Visualization
Visualization & Reporting
Workflow & Automation
Workflow Automation

How to Load SQL Tables into Pandas DataFrames

Table of Contents

How to Load SQL Tables into Pandas DataFrames

Loading SQL tables into pandas DataFrames bridges relational databases and Python’s data analysis ecosystem, offering key benefits:

  1. Rich data manipulation functions
  2. Easy integration with visualization libraries
  3. Compatibility with machine learning libraries

To read a SQL table into a pandas DataFrame, pass the database connection obtained from the SQLAlchemy Engine to the pandas.read_sql method.

import pandas as pd
import sqlalchemy

# Create a SQLAlchemy engine
engine = sqlalchemy.create_engine(
    "postgresql://username:password@host:port/database_name"
)


# Read a SQL table into a DataFrame
df = pd.read_sql("SELECT * FROM table_name", engine)

Author

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top

Work with Khuyen Tran

Work with Khuyen Tran

Seraphinite AcceleratorOptimized by Seraphinite Accelerator
Turns on site high speed to be attractive for people and search engines.