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
numpyarrays - Compatible with many ODBC drivers
- Can be used anywhere
pyodbcis 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):
- Create a
docker-compose.ymlcontaining 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"
- Start the container:
docker compose up --build - 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.
- 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'"
- 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)
Metadata
Release files for npyodbc 5.3.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
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Built distributions (wheels)
Total release size: 189.9 MB
Release files / npyodbc-5.3.0.1.tar.gz
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| Tags | Source |
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