Generates a word cloud from Little Women by Louisa May Alcott

script.sh

#!/bin/bash

# Generates a word cloud from Little Women by Louisa May Alcott

if [ ! -d little_women ]; then
	mkdir little_women
fi 

cd little_women
virtualenv --system-site-packages .
source ./bin/activate
pip install Cython
pip install Pillow
pip install git+git://github.com/amueller/word_cloud.git
pip install numpy
pip install scipy

wget -nc https://openclipart.org/download/1196/liftarn-Kamma-Rahbek-silhouette.svg
convert -density 300 liftarn-Kamma-Rahbek-silhouette.svg liftarn-Kamma-Rahbek-silhouette.png

echo "
from os import path
import os
from scipy.misc import imread
import matplotlib.pyplot as plt
import random

import urllib

from wordcloud import WordCloud, STOPWORDS

#change this to your taste
dpi = 300

#i used wc to count the number of words in little_women.txt
number_of_words = 188986

def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
    return \"hsl(0, 0%%, %d%%)\" % random.randint(60, 100)

d = os.getcwd()
#you can find the original stencil in 
#https://openclipart.org/detail/1196/kamma-rahbek-silhouette
filename = 'liftarn-Kamma-Rahbek-silhouette.png'
mask = imread(path.join(d, filename))

# little women by louisa may alcott
filename = 'little_women.txt'
gutenberg_url = 'http://www.gutenberg.org/cache/epub/514/pg514.txt'
urllib.urlretrieve(gutenberg_url, filename)
text = open(filename).read()

# adding movie script specific stopwords
stopwords = STOPWORDS.copy()

wc = WordCloud(max_words=number_of_words, mask=mask, stopwords=stopwords, margin=0,
               random_state=1).generate(text)

# store default colored image
img = wc.to_image()
img.save( 'little_women.png', 'png' )

" > little_women.py

python little_women.py