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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.

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pandas_access-0.0.1.tar.gz (3.2 kB view hashes)

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