reportify

Generate report-like documents from Jupyter notebooks


Keywords
jupyter, report, data-science, analytics
License
MIT
Install
pip install reportify==1.1.0

Documentation

Reportify

Installation

Assuming you have pip installed, you can run

pip install reportify --user

Omit --user if you are running in a Python virtual environment, but otherwise keep it: don't use sudo, it's dangerous because it modifies the Python environment that your operating system may rely on.

If you aren't running in a Python virtual environment, you may need to add ~/.local/bin to your PATH environment variable. This can be done by editing your shell initialization script, usually ~/.bashrc. (The tilde character '~' will expand to the path to your home directory.) Add the following line to the end of that file:

export PATH=~/.local/bin:$PATH

Now check that the reportify script is available by trying reportify --help. If you see usage information, everything went fine. If you get something like 'command not found', then everything went not fine.

Usage

To see arguments, run reportify --help.

Inside the repository's examples directory are example notebooks on which you can try reportify:

reportify example.ipynb

this should output a file, example.html, in the current directory.