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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](https://products.office.com/en-us/access)
database (`.rdb`) as a [Pandas](http://pandas.pydata.org/)
[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).

## Installation

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

If you are on `OSX`, install it via [Homebrew](http://brew.sh/):

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

## Usage

```python
import pandas_access as mdb

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

# 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):
accumulator.append(f(chunk))
```

If you need more power than this, see:
[pyodbc](https://github.com/mkleehammer/pyodbc).

## 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


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0.0.1

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