lucasfcnunes / dexter

Data Exploration Terser

dexter

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data exploration terser

What is dexter?

dexter is a lightweight Python package built on top of numpy and pandas that allows fast data exploration for multiple structured table files in a folder. It's a high-level tool suitable for a first contact with a dataset composed of multiple dataframes.

Features

• Importing multiple table files with readm_csv()
• Saving DataFrames and Names with the FrameMap class
• Applying pandas methods to multiple DataFrames at once

Installing

PyPI:

pip install dexter

https://pypi.org/project/dexter/

Usage

Importing dexter:

import dexter as dxt

Reading multiple dataframes in a folder:

dataframes = dxt.readm_csv(./folder/)

Displaying results:

dataframes.display()

Out:

df1

col1	col2	col3
0	value1	$3
1	value2	$5
2	value3	$7

df2

first	second	third
0	one	17%
1	two	19%
2	three	23%

Names and Frames

names = dataframes.names
frames = dataframes.frames

Multiple Dataframes Types

dataframes.dtypes()

Multiple Missing Values

dataframes.multiple_missing()

Multiple Descriptions

dataframes.describe()

For more concrete examples, check the notebook

Contributing

1. Fork it (https://github.com/igormagalhaesr/dexter)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

Dependencies

• NumPy
• Pandas
• IPython

License

Distributed under the BSD 3 license. See LICENSE.txt for more information.

Contact

Igor Magalhaes – @igormagalhaesr – [e-mail]

github.com/igormagalhaesr