Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

A tiny, subprocess-based tool for reading a MS Access database(.rdb) as a Pandas DataFrame.

Project description

# What is this?

A tiny, `subprocess`-based tool for reading a
[MS Access](
database (`.rdb`) as a [Pandas](

## Installation

To read the database, this package (thinly!) wraps
[MDBTools]( Since I assume you're already
using Pandas, it should be your only installation requirement.

If you are on `OSX`, install it via [Homebrew](

$ brew install mdbtools
Then, do,
$ pip install pandas_access

## Usage

import pandas_access as mdb

# Listing the tables.
for tbl in mdb.list_tables("my.mdb"):

# Read a small table.
df = pandas_access.read_table("my.mdb", "MyTable")

# Read a huge table.
accumulator = []
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):

If you need more power than this, see:

## Testing

I needed this code in a quick pinch -- I had no access to MS Access, and I had
a single `.mdb` file. If someone with Access would like to create a tiny
database for unit-testing purposes, I'd be much obliged.

Project details

Release history Release notifications

This version


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pandas_access, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size pandas_access-0.0.1.tar.gz (3.2 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page