Metadata-Version: 2.1
Name: xyplot
Version: 0.1.0
Summary: Plotting with python made easy
Home-page: https://github.com/xypnox/xyplot
Author: xypnox
Author-email: xypnox@gmail.com
License: UNKNOWN
Description: <div align="center">
            <h1>
                xyplot 📈
            </h1>
            <img width="400" src="sample.png" alt="Graph made with xyplot" />
            <p>
                <i>Plotting with python made easy</i>
            </p>
        </div>
        
        
        
        [![Say Thanks](https://img.shields.io/badge/Say-Thanks-blue.svg)](https://saythanks.io/to/xypnox)
        
        Are you tired of replicating common steps that are needed to plot even a simple polynomial functions in python's infamous Matplotlib?
        
        Worry no more! Presenting xyplot! Plot polynomials easily and more importantly, pythonically!
        
        For example, to plot a polynomial best fit curve you only need to:
        
        ```python
        import Curve from xyplot
        x, y  = [x1, x2, ...], [y1, y2, ...]
        
        curve = Curve(x, y, 2)
        
        curve.setLabels(
          xlabel='time (s)', ylabel='voltage (mV)',
          title='About as simple as it gets, folks'
        )
        
        curve.save('MyPlot.png')
        ```
        
        Makes sense right?
        
        > **Fair Warning**
        >
        > This is just a high level sensible wrapper to the matplotlib and numpy package. Its aim is to reduce the workload necessary to make very basic plots.
        >
        > To make more extensive and customizable plots, refer to [matplotlib](https://matplotlib.org/)
        
        <div align='center' >
        	<img width='300' src="https://i.redd.it/zhscjhjr3nb21.jpg" alt="Meme depicting my struggle" /> 
        </div>
        
        ## Why this effort?
        
        Some of the more inquistive and experienced would be asking why the hell did I create an entire package that can only plot polynomials. Because there was nothing similar in matplotlib and I wanted to help those who have only little knowledge of python plot amazing graphs in as few lines and headaches as possible.
        
        For those who still like control, you always have the fig, ax attributes of the curve class available for exploitation! And then, if you are not satisfied, try the OG matplotlib!
        
        ## Documentation?
        
        > Documentation is like sex: when it is good, it is very, very good;                            and when it is bad, it is better than nothing. — *Dick B.*
        
        With that said, the documentation can be found here: http://www.xypnox.com/xyplot/xyplot/index.html
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
