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        "description": "# rtdpy\n\nResidence Time Distribution modeling in Python.\n\n[https://merck.github.com/rtdpy](https://merck.github.com/rtdpy)\n\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.01621/status.svg)](https://doi.org/10.21105/joss.01621)\n\n## A simple example\nCreate a family of tanks in series (N-CSTRs) and analyze them\n```python\nimport matplotlib.pyplot as plt\nimport rtdpy\nfor n in [1, 2, 5, 10, 100]:\n    a = rtdpy.Ncstr(tau=1, n=n, dt=.001, time_end=5)\n    plt.plot(a.time, a.exitage, label=\"n={}\".format(n))\nplt.legend()\nplt.xlabel('Time')\nplt.ylabel('Exit Age Function')\nplt.title('Impulse Responses')\n```\n\n![N-Cstr RTDs](images/ncstr.png?raw=true \"N-Cstr RTDs\")\n\n## Installation\n```bash\npip install rtdpy\n```\n\n## Issues/Requests/Contributions\nSee [CONTRIBUTING.md](CONTRIBUTING.md)\n\n## Testing\nTests are written using `pytest`. `numpy` and `scipy` must also be installed in the environment if using `pytest` directly. `tox` can also be used to test against Python versions 3.5, 3.6, and 3.7. See [pytest documentation](https://docs.pytest.org/en/latest/) for how to use and interpret pytest results.\n\nIt is recommended to use a virtual environment for developing/testing.\n\n```bash\ngit clone https://github.com/Merck/rtdpy.git  # or use your forked repo\ncd rtdpy\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -e .  # will also install numpy and scipy dependencies\npip install pytest tox\n\n# run all tests\npytest\n\n# run tests and style check for Python versions 3.5, 3.6, and 3.7, if available.\ntox\n```\n\nAuthor: Matthew Flamm\n\nEmail: <matthew.flamm@merck.com>\n\n\n",
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