Getting Started#
Sharrow is a Python library that enables several different kinds of data to flow together in the same lane. It leverages the power of numba and xarray to compile expression specification files (like those used in ActivitySim) into optimized, runnable code.
Installation#
Sharrow will soon be available through conda-forge.
conda install sharrow -c conda-forge
You can also install from the source code using setuptools and pip. A number of the dependencies are not pure Python packages, and so it’s highly recommended that you create an environment containing all those dependencies first, and then install sharrow itself. To do so with conda, you can run:
conda install -c conda-forge numpy pandas xarray numba pyarrow numexpr filelock
Then clone the repository, and then from the root directory run
pip install -e .
Alternatively, you can install sharrow plus all the dependencies (including
additional optional dependencies for development and testing) in a conda environment,
using the envs/development.yml environment to create a sh-dev environment:
conda env create -f envs/development.yml
Testing#
Sharrow includes unit tests both in the sharrow/tests directory and embedded
in the user documentation under docs.
To run the test suite after installing sharrow, install (via pypi or conda) pytest and nbmake,
and run pytest in the root directory of the sharrow repository.
Code Formatting#
Sharrow uses several tools to ensure a consistent code format throughout the project:
Black for standardized code formatting,
Flake8 for general code quality,
isort for standardized order in imports, and
nbstripout to ensure notebooks are committed to the GitHub repository without bulky outputs included.
We highly recommend that you setup pre-commit hooks to automatically run all the above tools every time you make a git commit. This can be done by running:
pre-commit install
from the root of the sharrow repository. You can skip the pre-commit checks
with git commit --no-verify.
Building the Documentation#
The docs for sharrow are built using Jupyter Book.
You can install Jupyter Book via pip:
pip install -U jupyter-book
or via conda-forge:
conda install -c conda-forge jupyter-book
Then to build the docs, in the root directory of the sharrow repository run
jb build docs