recreate figures in DMDB manuscript

Author: Carolina1396

Figures_DMDB_manuscript.ipynb

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+# Data Tools
+
+A collection of random tools for manipulating data,
+with the primary goal of producing hetnets.
+
+## Description
+
+### Overview
+
+This is a collection of functions and tools for manipulating data. 
+
+### Motivation
+
+This project was built from common operations I run in python and pandas. As I started to notice I was reusing blocks of
+code throughout my various projects I decided to abstract them into functions, and packge them in a way they could be
+easily integrated into future projects. For a project that uses this 
+toolset see [metapaths](https://github.com/mmayers12/metapaths/).
+
+### Features
+
+This repo contains tools for:
+
+- Downloading data
+- Reshaping Series and DataFrames
+- Managing Graphs as DataFrames (separate Nodes and Edges objects)
+- Some prebaked Seaborn plots with a particular style
+- Processing and plotting Machine Learning results
+
+### Re-use and contributions statement
+
+Feel free to reuse code as you see fit.  If you would like to make changes to the code, feel free to 
+build your own forked version.
+
+
+## Getting Started
+
+To install the latest version with pip use the following command:
+
+    pip install git+https://github.com/mmayers12/data_tools
+
+### Requirements 
+
+See setup.py for a list of requirements.
+
+## Usage
+
+### How to use
+
+To use functions in this library import them into your script.
+
+### Code examples
+
+    from data_tools.graphs import combine_nodes_and_edges
+    combo = combine_nodes_and_edges(nodes, edges)
+
+## Project Status
+
+### Current status / build / version
+
+Project is currently under heavy development. Methods and features are subject to change greatly on subsequent versions.
+
+Current version is 0.0.8.
+
+## Credits
+
+### Contact info
+
+For bug reports please email mmayers[at]scripps.edu or raise an issue on Github.
+

data_tools/README.md

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+__all__ = ['graphs', 'files', 'df_processing', 'wiki', 'plotting', 'obo_processing', 'ml']
+