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A python library for automated exploratory data analysis
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klarEDA/klar-EDA
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A python library for automated exploratory data analysis
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
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
>>> from klar_eda.visualization import visualize_csv>>> visualize_csv(<csv-file-path>) OR>>> visualize_csv(<data-frame>)
>>> from klar_eda.preprocessing import preprocess_csv>>> preprocess_csv(<csv-file-path>) OR>>> preprocess_csv(<data-frame>)
>>> 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)
>>> 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.
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
To test the documentation in local::
$ cd docsource/$ make html
To push the latest documentation in github::
$ cd docsource/$ make github
klar-eda is released under theMIT license.
Please feel free to contact us for any issues ORfor discussion of future scope of the library atcontact.klareda@gmail.com
Ashish KshirsagarRishabh AgarwalSayali DeshpandeIshaan Ballal
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A python library for automated exploratory data analysis
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