https://github.com/eyadsibai/brute-force-plotter

Tool to visualize data quickly with no brain usage for plot creation
https://github.com/eyadsibai/brute-force-plotter

Last synced: 3 months ago
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Tool to visualize data quickly with no brain usage for plot creation

• Host: GitHub
• URL: https://github.com/eyadsibai/brute-force-plotter
• Owner: eyadsibai
• License: mit
• Created: 2015-05-10T18:13:09.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2019-04-08T13:09:33.000Z (over 5 years ago)
• Last Synced: 2023-10-20T19:46:05.398Z (about 1 year ago)
• Language: Python
• Homepage:
• Size: 3.37 MB
• Stars: 45
• Watchers: 6
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
Brute Force Plotter

===================

[Work in progress]

Tool to visualize data quickly with no brain usage for plot creation

Installation

------------

will be packaged soon

Example

-------

It was tested on python3 only

.. code:: bash

	$ git clone https://github.com/eyadsibai/brute_force_plotter.git

	$ cd brute_force_plotter

	$ pip3 install -r requirements.txt

	$ python3 brute_force_plotter.py example/titanic.csv example/titanic_dtypes.json example/output

- json.dump({k:v.name for k,v in df.dtypes.to_dict().items()},open('dtypes.json','w'))  

- the first argument is the input file (csv file with data) `example/titanic.csv `_

- second argument is a json file with the data types of each columns (c for category, n for numeric, i for ignore) `example/titanic_dtypes.json `_

.. code:: json

	{

	"Survived": "c",

	"Pclass": "c",

	"Sex": "c",

	"Age": "n",

	"SibSp": "n",

	"Parch": "n",

	"Fare": "n",

	"Embarked": "c",

	"PassengerId": "i",

	"Ticket": "i",

	"Cabin": "i",

	"Name": "i"

	}	

- third argument is the output directory

- c stands for category, i stands for ignore, n for numeric

.. image:: https://raw.githubusercontent.com/eyadsibai/brute_force_plotter/master/example/output/distributions/Age-dist-plot.png

    :alt: Age Distribution (Histogram with Kernel Density Estimation, Violin Plot)

    :width: 260

    :height: 300

    :align: center

    

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Pclass-Sex-heatmap.png

    :alt: Heatmap for Sex and Pclass

    :width: 260

    :height: 300

    :align: center

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Pclass-Survived-bar-plot.png

    :alt: Pclass vs Survived

    :width: 260

    :height: 300

    :align: center    

    

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Survived-Age-plot.png

    :alt: Survived vs Age

    :width: 260

    :height: 300

    :align: center

    

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Age-Fare-scatter-plot.png

    :alt: Age vs Fare

    :width: 260

    :height: 300

    :align: center

TODO

----

- target variable support

- Clean up part of the code

- More documentation

- Tests?

- Support 3 variables (contour plots/ etc)

- Fallback for large datasets

- Figure out the data type or suggest some

- Map visualization (if geocoordinates)

- Minimize the number of plots

- Support for Time Series