Metadata-Version: 1.0
Name: bashplotlib
Version: 0.4.4
Summary: plotting in the terminal
Home-page: https://github.com/glamp/bashplotlib
Author: Greg Lamp
Author-email: lamp.greg@gmail.com
License: Copyright (c) 2013 Greg Lamp

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description: bashplotlib
        ===========
        plotting in the terminal
        
        what is it?
        ===========
        bashplotlib is a python package and command line tool for making basic plots in the terminal. It's a quick way to visualize data when you don't have a GUI. It's written in pure python and can quickly be installed anywhere using pip.
        
        Either method will install the bashplotlib python package and will also add hist and scatter 
        to your python scripts folder. This folder should be on your path (add it if it's not).
        
        features
        ===========
        1. quick plotting from the command line
        2. customize the color, size, title, and shape of plots
        3. pipe data into plots with stdin
        
        todo
        ===========
        1. sideways numbers for x-axis of histograms
        2. colors for individual points
        3. line charts
        4. trendlines
        
Platform: UNKNOWN
