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A python library for automated exploratory data analysis

Home Page: https://klareda.github.io/klar-EDA/

License: MIT License

Python 45.37% Makefile 0.29% CSS 12.25% JavaScript 29.98% HTML 11.78% Batchfile 0.33%

klar-eda's Introduction

Build Status

klar-eda

A python library for automated exploratory data analysis

Overview

Documentation - https://klareda.github.io/klar-EDA/

Presentation - https://youtu.be/FsDV6a-L-wo

The library aims to ease the data exploration and preprocessing steps and provide a smart and automated technique for exploratory analysis of the data

The library consists of the following modules

  • CSV Data Visualization
  • CSV Data Preprocessing
  • Image Data Visualization
  • Image Data Preprocessing

Usage

You can install the test version of the library by the below command::

$ pip3 install -i https://test.pypi.org/simple/ klar-eda    

The above mentioned modules can be used as below::

>>> import klar_eda

CSV Data Visualization

>>> from klar_eda.visualization import visualize_csv

>>> visualize_csv(<csv-file-path>) 

OR

>>> visualize_csv(<data-frame>)

CSV Data Preprocessing

>>> from klar_eda.preprocessing import preprocess_csv

>>> preprocess_csv(<csv-file-path>) 

OR

>>> preprocess_csv(<data-frame>)

Image Data Visualization

>>> from klar_eda.visualization import visualize_images

>>> ds = tfds.load('cifar10', split='train', as_supervised=True)
>>> images = []
>>> labels = []
>>> for image, label in tfds.as_numpy(ds):
        h = randint(24, 56)
        w = randint(24, 56)
        image = cv2.resize(image, (w, h))
        images.append(image)
        labels.append(label)

>>> visualize_images(images, labels)

Image Data Preprocessing

>>> from klar_eda.preprocessing import preprocess_images

>>> preprocess_images(<images-folder-path>)

If you liked our project, it would be really helpful if you could share this project with others.

Contributing

For contributing to this project, feel free to clone the repository::

git clone https://github.com/klarEDA/klar-EDA.git

For installing the necessary packages, run the below command::

$ pip3 install -r requirement.txt

Documentation

To test the documentation in local::

$ cd docsource/
$ make html

To push the latest documentation in github::

$ cd docsource/
$ make github

License

klar-eda is released under the MIT license.

Please feel free to contact us for any issues OR for discussion of future scope of the library at [email protected]

References

https://test.pypi.org/project/klar-eda/

klar-eda's People

Contributors

abh33 avatar aditi1403 avatar ashish-hacker avatar ask149 avatar harshasridhar avatar ishaanballal21 avatar klareda-admin avatar lekshmissunil avatar psy2d avatar rishabh-me avatar sibasish-padhy avatar

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