install-matplotlib-ubuntu.sh

#!/bin/bash

set -xe

sudo apt-get -y update

sudo apt-get install -y tk8.6-dev libssl-dev sqlite3 libsqlite3-dev \
     gcc g++ make libpng-dev libxml2  \
      libxml2-dev libxslt1-dev python-dev \
      zlib1g-dev libbz2-dev \
      libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev

curl -o  /tmp/Python-2.7.11.tgz https://www.python.org/ftp/python/2.7.11/Python-2.7.11.tgz
tar -xf /tmp/Python-2.7.11.tgz -C /tmp
cd /tmp/Python-2.7.11 && ./configure --prefix=/opt --enable-unicode=ucs4 && make && sudo make altinstall

wget https://bootstrap.pypa.io/ez_setup.py -O - | sudo /opt/bin/python2.7
sudo /opt/bin/easy_install-2.7 pip
sudo /opt/bin/pip2.7 install virtualenv
cd ~
/opt/bin/virtualenv --distribute --no-site-packages venv
source venv/bin/activate
pip install -v matplotlib Pillow

cat <<EOF>> ./example.py

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np

#reading in the image and printing out some stats
image = mpimg.imread('test.jpg')
print('This image is: ',type(image), 
         'with dimensions:', image.shape)

#grabbing the x and y size and making a copy of the image
ysize = image.shape[0]
xsize = image.shape[1]
color_select = np.copy(image)

#defining our color selection criteria
red_threshold = 0
green_threshold = 0
blue_threshold = 0
rgb_threshold = [red_threshold, green_threshold, blue_threshold]

#using a "bitwise or" to identify pixels below the threshold
thresholds = (image[:,:,0] < rgb_threshold[0]) \
            | (image[:,:,1] < rgb_threshold[1]) \
            | (image[:,:,2] < rgb_threshold[2])
color_select[thresholds] = [0,0,0]

#displaying the image                 
plt.ion()
plt.imshow(color_select)
plt.show(block=True)

EOF
curl -O https://d17h27t6h515a5.cloudfront.net/topher/2016/August/57b4b3ff_test/test.jpg
ipython --gui=gkt3 example.py