Shay Palachy-Affek shaypal5

Taken from a post by Stuart Colville at https://muffinresearch.co.uk/selectively-including-parts-readme-rst-in-your-docs/. Here only to make this star-able by myself.

In your README.rst add a marker marking from which point you want to start importing content:

Blah blah project
=================

Here's all the actual readme content.

	import pandas as pd
	import matplotlib.pyplot as plt
	import seaborn as sns

	def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14):
	"""Prints a confusion matrix, as returned by sklearn.metrics.confusion_matrix, as a heatmap.

	Note that due to returning the created figure object, when this funciton is called in a
	notebook the figure willl be printed twice. To prevent this, either append ; to your
	function call, or modify the function by commenting out the return expression.

	"""Finds communities in the given graph using clique percolation."""


	def _add_edge_to_adjancy_list(adjancy_list, node1, node2):
	if node1 in adjancy_list:
	adjancy_list[node1].add(node2)
	else:
	adjancy_list[node1] = set([node2])

	# 1. install dependencies
	sudo apt install libncurses5-dev libgnome2-dev libgnomeui-dev \
	libgtk2.0-dev libatk1.0-dev libbonoboui2-dev \
	libcairo2-dev libx11-dev libxpm-dev libxt-dev python-dev \
	python3-dev ruby-dev lua5.1 lua5.1-dev libperl-dev git

	# 2. remove vim
	sudo apt remove vim vim-runtime gvim
	sudo apt remove vim-tiny vim-common vim-gui-common vim-nox

	import pandas as pd
	from sklearn.model_selection import train_test_split

	df = pd.DataFrame(data=[[1], [2], [3]], columns=['foo'], index=pd.MultiIndex.from_tuples(((0,'a'),(0, 'b'), (1, 'a'))))
	train_ix, test_ix = train_test_split(df.index.levels[0])
	train_df = df.loc[train_ix]
	test_df = df.loc[test_ix]

	"""Setup for the chocobo package."""

	import setuptools


	with open('README.md') as f:
	README = f.read()

	setuptools.setup(
	author="Shay Palachy",

	# an example checking if the pandas package is installed
	if python -c 'import pkgutil; exit(not pkgutil.find_loader("pandas"))'; then
	echo 'pandas found'
	else
	echo 'pandas not found'
	fi

	def foo(a, quiet=False):
	_print = (lambda x: x) if quiet else print
	b = a * 5
	_print("Warming up warp engines. This will not print if quiet is set to True.")
	return b + 3.14