npyodbc 5.3.0.0

pyodbc extended to use NumPy

npyodbc

A python interface to Open Database Connectivity (ODBC) drivers built on top of pyodbc that incorporates native support for numpy.

Features

• Native support for numpy arrays
• Compatible with many ODBC drivers
• Can be used anywhere pyodbc is used

Requirements

You'll need a database and an ODBC driver to use npyodbc. There are many different options:

• Google BigQuery
• Hive from Ubuntu/Debian
• Microsoft Access
• Microsoft Excel
• Microsoft SQL Server
• MySQL
• Netezza
• Oracle
• PostgreSQL
• SQLite
• Teradata
• Vertica

Install the appropriate ODBC driver for the database you want to connect to before continuing.

Installation

You can install npyodbc via pip:

pip install npyodbc

Development installation

If you've cloned this repository and want to work on it locally,

pip install -e .

Development installation using conda

If you're using conda, use the included environment.yaml to install requirements:

conda env create --file environment.yaml
conda activate npyodbc-dev
pip install -e .

Usage

Let's set up a containerized database as an example (you'll need docker before we begin):

1. Create a docker-compose.yml containing the following:

services:
  postgres:
    image: postgres:11
    environment:
      - POSTGRES_DB=postgres_db
      - POSTGRES_USER=postgres_user
      - POSTGRES_PASSWORD=postgres_pwd
      - POSTGRES_HOST_AUTH_METHOD=trust

    ports:
      - "5432:5432"

2. Start the container: docker compose up --build
3. Configure your ODBC driver by setting /etc/odbc.ini:

[PostgreSQL Unicode]
Description = PostgreSQL connection to database
Driver = PostgreSQL Unicode
Servername = localhost
Port = 5432
Database = postgres_db
Username = postgres_user
Password = postgres_pwd

We also need to configure /etc/odbcinst.ini:

[PostgreSQL Unicode]
Description = PostgreSQL ODBC driver (Unicode)
Driver = /usr/lib/psqlodbcw.so

Now your system is ready to connect.

3. Create a database to connect to:

# Set your environment to match the settings in the container
export PGHOST=localhost
export PGPORT=5432
export PGDATABASE=postgres_db
export PGUSER=postgres_user
export PGPASSWORD=postgres_pwd

# Create a new database
psql -c "CREATE DATABASE test WITH encoding='UTF8' LC_COLLATE='en_US.utf8' LC_CTYPE='en_US.utf8'"

4. Connect with npyodbc:

import npyodbc

# Set the connection string to match the settings in your `odbc.ini` and `odbcinst.ini`
connection = npyodbc.connect(
    "DRIVER={PostgreSQL Unicode};SERVER=localhost;PORT=5432;UID=postgres_user;PWD=postgres_pwd;DATABASE=test"
)

cursor = connection.cursor()

# Create a table and insert some values
cursor.execute('create table t1(col text)')
cursor.execute('insert into t1 values (?)', 'a test string')

# Retrieve entries from the table as Python objects
rows = cursor.execute('select * from t1').fetchall()

# Returns [('a test string',)]
print(rows)