This repository is part of the Open-Spending project. It contains a data pre-processing pipeline that cleans-up and concatenates multiple yearly budgets into one file ready to be modelled and uploaded into Open-Spending.
If you're a pythonista, just make sure that you have a jupyter notebook running python3 with pandas installed. That's all you need. If not, the easiest way to get set up is to download the Python3.5 version of Miniconda. On Windows, you're provided with a GUI, so basically you're done. If you're on Linux or OS-X, you'll have to run the installation script, like so:
bash +x Miniconda3-latest-Linux-x86_64.sh
Note: It's best to answer no to the question "Do you wish the installer to prepend the Miniconda3 install location to PATH in your /home/path/.bashrc ?" (you don't really want to change the default python path on your computer). In case you need help, check out the Conda documentation.
Clone and cd into the repository:
git clone https://github.com/cyberbikepunk/mexico.git && cd
Checkout a new branch:
git checkout -b my-processing-branch
Launch the notebook from the GUI (Windows) or from the command line (Linux and OS-X):
export PATH=/path/to/miniconda3/bin:$PATH && jupyter notebook
Follow the instructions in the notebook. When you're done, push your pipeline configuration back to the repo for reference purposes. Thanks. Enjoy!
Most of the documents related to the project can be found in this Google Drive folder.