Skip to content

brmscheiner/ideogram

Repository files navigation

Ideogram

Create a visual fingerprint of your Python project's source code!

Installation

It's not ready yet!

How to use it

In order to get started creating, you must create some Ideogram objects and generate them. For example:

import ideogram 

netwk = ideogram.Ideogram(outdir='network_viz',
                          mode='network',
                          title='Hola, mundo!',
                          font_family='sans-serif',
                          font_size='60px',
                          title_color='rgb(0,0,0)',
                          colorscheme='Spectral',
                          bgcolor='rgb(155,45,0)'
                          )
pack = ideogram.Ideogram(outdir='pack_viz',
                         mode='pack',
                         colorscheme='random',
                         bgcolor='random'
                         )
ideogram.generate('https://github.com/brmscheiner/ideogram',netwk,pack)

Ideogram objects are instantiated with several keyword arguments, which afford some control over the final product.

Argument Usage Description
outdir mandatory Specify the path to the directory to put the output html, js, and csv files
mode mandatory What kind of Ideogram are you making? The options are 'network', 'moire', 'depth', and 'pack'
title optional A string that will be displayed in the center of your visualization
font_family optional The font-family css attribute for the title
font_size optional The font-size css attribute for the title. '40px', '2.0em', and '200%' are all valid
title_color optional The color attribute for the title text, such as 'red', 'rgb(0,0,0)' or 'rgba(0,0,0,0.5)'
colorscheme optional The colorbrewer colorscheme you would like to use. Colorbrewer schemes
bgcolor optional The color attribute for the background, such as 'red', 'rgb(0,0,0)' or 'rgba(0,0,0,0.5)'

After you're done building your Ideogram objects, pass them to the generate function along with the path to a local directory that contains some Python source code.

ideogram.generate('Desktop/code/myproject',thing1,thing2,thing3)

The generate function also accepts links to github projects.

ideogram.generate('https://github.com/brmscheiner/ideogram',thing1,thing2,thing3,thing4)

Still here? OK, last step! To see your creation, you need to host the output files on a server. Depending on your background that might sound intimidating, but the good news is there's an easy-to-use Python module that takes care of the heavy lifting for you. If you have Python 2, it's called SimpleHTTPServer. In Python 3 it's called http.server. If you're not sure which version of Python is on your computer, just open the terminal and type python --version. Now, navigate to the directory where you put your Ideograms and start serving:

cd path/to/output/files
python -m http.server 8080       OR        python -m SimpleHTTPServer 8080

You should see a message like Serving HTTP on 0.0.0.0 port 8080 ..., possibly followed by some gibberish. All you have to do now is open Chrome or Firefox and navigate to http://localhost:8080/. If everything went according to plan, you should see your visualization! For large projects, it could take a minute for the page to load and process the data.

Examples

removed for now

Credit

This is my first Python package! Many thanks to Drew Garrido, James Porter, Diwank Tomer, and Oren Shoham for their help putting it all together.

About

Generate visualizations of a Python project's source code.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published