Updated docs

.github/workflows/python-package.yml → .github/workflows/tests.yml

@@ -1,7 +1,7 @@
 # This workflow will install Python dependencies, run tests and lint with a variety of Python versions
 # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
 
-name: Python package
+name: Tests
 
 on:
   push:

README.md

@@ -1,3 +1,10 @@
+[![GitHub release (with filter)](https://img.shields.io/github/v/release/BlackHolePerturbationToolkit/KerrGeoPy)](https://github.com/BlackHolePerturbationToolkit/KerrGeoPy/releases)
+[![Test Status](https://github.com/BlackHolePerturbationToolkit/KerrGeoPy/actions/workflows/tests.yml/badge.svg)](https://github.com/BlackHolePerturbationToolkit/KerrGeoPy/actions)
+[![PyPI - Version](https://img.shields.io/pypi/v/kerrgeopy)](https://pypi.org/project/kerrgeopy/)
+[![Documentation Status](https://readthedocs.org/projects/kerrgeopy/badge/?version=latest)](https://kerrgeopy.readthedocs.io/en/latest/?badge=latest)
+[![GitHub License](https://img.shields.io/github/license/BlackHolePerturbationToolkit/KerrGeoPy)](https://github.com/BlackHolePerturbationToolkit/KerrGeoPy/blob/main/LICENSE)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10126824.svg)](https://doi.org/10.5281/zenodo.10126824)
+
 # KerrGeoPy
 
 KerrGeoPy is a python implementation of the [KerrGeodesics](https://bhptoolkit.org/KerrGeodesics/) Mathematica library. It is intended for use in computing orbital trajectories for extreme-mass-ratio inspirals (EMRIs). It implements the analytical solutions for plunging orbits from [Dyson and van de Meent](https://arxiv.org/abs/2302.03704), as well as solutions for stable orbits from [Fujita and Hikida](https://arxiv.org/abs/0906.1420). The library also provides a set of methods for computing constants of motion and orbital frequencies. See the [documentation](https://kerrgeopy.readthedocs.io/en/latest/) for more information.
@@ -9,6 +16,11 @@ Install the latest version of kerrgeopy using pip
 ```bash
 pip install kerrgeopy
 ```
+
+> **Note**
+>
+> KerrGeoPy uses functions introduced in scipy 1.8, so it may also be necessary to update scipy by running `pip install scipy -U`, although in most cases this should be done automatically by pip. Certain plotting and animation functions also make use of features introduced in matplotlib 3.7 and rely on [ffmpeg](https://ffmpeg.org/download.html), which can be easily installed using [homebrew](https://formulae.brew.sh/formula/ffmpeg) or [anaconda](https://anaconda.org/conda-forge/ffmpeg).
+
 ## Stable Bound Orbits
 
 Kerrgeopy computes orbits in Boyer-Lindquist coordinates $(t,r,\theta,\phi)$. Let $M$ to represent the mass of the primary body and let $J$ represent its angular momentum. Working in geometrized units where $G=c=1$, stable bound orbits are parametrized using the following variables:
@@ -46,7 +58,7 @@ fig, ax = orbit.plot(0,10)
 
 
 
-![png](README_files/Getting%20Started_3_0.png)
+![png](https://raw.githubusercontent.com/BlackHolePerturbationToolkit/KerrGeoPy/main/README_files/Getting%20Started_3_0.png)
 
 
 
@@ -91,7 +103,7 @@ plt.ylabel(r"$\phi(\lambda)$")
 
 
 
-![png](README_files/Getting%20Started_6_1.png)
+![png](https://raw.githubusercontent.com/BlackHolePerturbationToolkit/KerrGeoPy/main/README_files/Getting%20Started_6_1.png)
 
 
 
@@ -218,7 +230,7 @@ plt.ylabel(r"$\phi(\lambda)$")
 
 
 
-![png](README_files/Getting%20Started_15_1.png)
+![png](https://raw.githubusercontent.com/BlackHolePerturbationToolkit/KerrGeoPy/main/README_files/Getting%20Started_15_1.png)
 
 
 
@@ -273,7 +285,7 @@ plt.xlabel("$\lambda$")
 plt.ylabel(r"$\phi(\lambda)$")
 ```
 
-![png](README_files/Getting%20Started_20_1.png)
+![png](https://raw.githubusercontent.com/BlackHolePerturbationToolkit/KerrGeoPy/main/README_files/Getting%20Started_20_1.png)
 
 
 ## Authors

docs/source/index.rst

@@ -32,6 +32,10 @@ Install the latest version of kerrgeopy using pip
 
    pip install kerrgeopy
 
+.. note::
+   KerrGeoPy uses functions introduced in scipy 1.8, so it may also be necessary to update scipy by running :code:`pip install scipy -U`, although in most cases this should be done automatically by pip.
+   Certain plotting and animation functions also make use of features introduced in matplotlib 3.7 and rely on `ffmpeg <https://ffmpeg.org/download.html>`_, which can be easily installed using `homebrew <https://formulae.brew.sh/formula/ffmpeg>`_ or `anaconda <https://anaconda.org/conda-forge/ffmpeg>`_.
+
 See `Getting Started <notebooks/Getting%20Started.html>`_ for basic usage. See the `API Reference`_ below or the `Modules <_autosummary/kerrgeopy.html>`_ page for a complete list of classes and methods.