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IPyPlot is a small python package offering fast and efficient plotting of images inside Jupyter Notebooks cells. It's using IPython with HTML for faster, richer and more interactive way of displaying big number of images.

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IPyPlot is a small python package offering fast and efficient plotting of images inside Jupyter Notebooks cells. It's using IPython with HTML for faster, richer and more interactive way of displaying big number of images.

Getting Started

Checkout the examples below and gear-images-examples.ipynb notebook which holds end to end examples for using IPyPlot.

Installation

So far IPyPlot can only be installed directly from this repo using pip:

pip install git+https://github.com/karolzak/ipyplot 

Usage examples

IPyPlot offers 3 main functions which can be used for displaying images in notebooks:

To start working with IPyPlot you need to simply import it like this:

importipyplot

and use any of the available plotting functions:

Display images in separate, interactive tabs for each class

Display a collection of images

Display class representations (first image for each class)

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IPyPlot is a small python package offering fast and efficient plotting of images inside Jupyter Notebooks cells. It's using IPython with HTML for faster, richer and more interactive way of displaying big number of images.

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