A few examples of generating word clouds in Python.
There are three ways to download the repo from GitLab. First option is using git and ssh to clone the repo in your terminal:
git clone git@github.com:dmofot/easy_wordclouds.git
Second option is using git and https to clone the repo in your terminal:
git clone https://github.com/dmofot/easy_wordclouds.git
The third option is useful if you don't have git installed. Simply download the entire repo as a zip file and unzip it.
Once the repo is downloaded, you can move into the project directory:
cd wordcloud
These examples were tested on Mac OS X 10.11.3 El Capitan, using Python version 2.7.11. If you are on a Mac, Python version 2.7.10 should already be installed on your system and will probably work. On Windows, you'll need to install Python from python.org. If your version of Python doesn't have pip installed, download get-pip.py and run python get-pip.py. This will install or upgrade pip. Additionally, it will install setuptools and wheel if they’re not installed already.
These examples should preferably be run in a virtualenv to avoid installing a bunch of project specifc packages. To install virtualenv, simply run:
pip install virtualenv
Setup your virtualenv project:
virtualenv venv
Activate your virtualenv project:
source venv/bin/activate
You should see a (venv) appear at the beginning of your terminal prompt indicating that you are working inside the virtualenv. Now install the project's required packages:
pip install -r requirements.txt
Alternatively, instead of using the requirements.txt, you can install the packages individually:
pip install numpy
pip install pillow
pip install wordcloud
When you are finished running through the examples below, don't forget to deactivate the virtualenv:
deactivate
These examples are based on the examples provided in the wordcloud package, but hopefully somewhat easier and more straightforward.
The simple word cloud example takes the text from the US Constitution (constitution.txt) and builds a square word cloud with default settings. The script will save the word cloud to a file called constitution.png and will also display the image. To run the simple example:
python simple_constitution.py
There are two examples for creating a masked word cloud. One is based off the text from Alice In Wonderland (alice.txt) and the other is based off the script text from the Star Wars movie "A New Hope" (a_new_hope.txt). These examples build word clouds that fit within a masked image (alice_mask.png or stormtrooper_mask.png) with additional parameter settings, e.g. background, mask, stopwords, etc. The script will save the masked word cloud to an image file (alice.png or a_new_hope.png). It will also display the image.
To run the masked alice example:
python masked_alice.py
To run the masked star wars example:
python masked_star_wars.py
Simple word cloud example using the Constitution:
Masked word cloud example using Alice In Wonderland:
Masked word cloud example using script from the Star Wars movie "A New Hope":
