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Data Exploration Terser

Project description


PyPI version GitHub license Documentation Status

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.


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



pip install dexter


Importing dexter:

import dexter as dxt

Reading multiple dataframes in a folder:

dataframes = dxt.readm_csv(./folder/)

Displaying results:



col1 col2 col3
0 value1 $3
1 value2 $5
2 value3 $7
first second third
0 one 17%
1 two 19%
2 three 23%

Names and Frames

names = dataframes.names
frames = dataframes.frames

Multiple Dataframes Types


Multiple Missing Values


Multiple Descriptions


For more concrete examples, check the notebook


  1. Fork it (
  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



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


Igor Magalhaes –

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