Metadata-Version: 2.1
Name: ipyplot
Version: 1.0.1
Summary: Simple package that leverages IPython and HTML for more efficient, reach and interactive plotting of images in Jupyter Notebooks
Home-page: http://github.com/karolzak/ipyplot
Author: Karol Zak
Author-email: karol.zak@hotmail.com
License: MIT
Description: **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](#Usage-examples) and 
        [gear-images-examples.ipynb](https://github.com/karolzak/ipyplot/blob/master/notebooks/gear-images-examples.ipynb) notebook which holds end to end examples for using **IPyPlot**.
        
        ## Installation
        
        **IPyPlot** can be installed directly from this repo using `pip`:
        
        ```
        pip install git+https://github.com/karolzak/ipyplot
        ```
        
        or through [PyPI](https://pypi.org/project/ipyplot/)
        
        ```
        pip install 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:
        ```python
        import ipyplot
        ```  
        and use any of the available plotting functions shown below (notice execution times).  
        `images` - should be a numpy array of either `string` (image file paths), `PIL.Image` objects or `numpy.array` objects representing images  
        `labels` - should be a numpy array of `string`
        
        #### Display images in separate, interactive tabs for each class
        
        ![](https://raw.githubusercontent.com/karolzak/ipyplot/master/docs/example1-tabs.jpg)
        
        #### Display a collection of images
        
        ![](https://raw.githubusercontent.com/karolzak/ipyplot/master/docs/example2-images.jpg)
        
        #### Display class representations (first image for each class)
        
        ![](https://raw.githubusercontent.com/karolzak/ipyplot/master/docs/example3-classes.jpg)
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
