shaypal5

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.

shaypal5

"""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])

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.

shaypal5

# 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

shaypal5

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]

shaypal5

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

import setuptools


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

setuptools.setup(
    author="Shay Palachy",

shaypal5

# 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

shaypal5

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

shaypal5

pipenv
versioneer
pytest
coverage
pytest-cov
collective.checkdocs
pygments
wheel
twine

shaypal5

language: python
# ===== Linux ======
os: linux
dist: xenial
python:
  - 2.7
  - 3.6
  - 3.7
  - 3.8
  - 3.9