.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "generated_examples\solvency2\plot_scr_cashflows.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_generated_examples_solvency2_plot_scr_cashflows.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_generated_examples_solvency2_plot_scr_cashflows.py:


solvency2: cashflows
===========================

Net liability cashflows by SCR shock scenarios for selected policies

.. seealso::
    * The :mod:`~solvency2` library

.. GENERATED FROM PYTHON SOURCE LINES 10-47



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /generated_examples/solvency2/images/sphx_glr_plot_scr_cashflows_001.png
         :alt: Net Cashflows, Policy ID: 41, Shock at 5
         :srcset: /generated_examples/solvency2/images/sphx_glr_plot_scr_cashflows_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /generated_examples/solvency2/images/sphx_glr_plot_scr_cashflows_002.png
         :alt: Net Cashflows, Policy ID: 171, Shock at 5
         :srcset: /generated_examples/solvency2/images/sphx_glr_plot_scr_cashflows_002.png
         :class: sphx-glr-multi-img





.. code-block:: default

    import modelx as mx
    import pandas as pd
    import matplotlib.pyplot as plt
    import seaborn as sns
    sns.set_theme(style="darkgrid")

    model = mx.read_model("model")


    def draw(polid, t0):

        fig, ax = plt.subplots()
        fig.suptitle('Net Cashflows')

        title = 'Policy ID: ' + str(polid) + ', Shock at ' + str(t0)

        data = {}
        for risk, shock in (('base', None),
                            ('mort', None),
                            ('longev', None),
                            ('lapse', 'up'),
                            ('lapse', 'down'),
                            ('lapse', 'mass'),
                            ('exps', None)):

            proj = model.SCR_life[t0, polid].Projection(risk, shock)
            last_t = proj.last_t()
            label = risk + ('(' + shock + ')' if shock else '')
            data[label] = [proj.NetInsurCF[t] for t in range(t0, last_t)]

        return pd.DataFrame(
            data, index=range(t0, last_t)).plot(
            ax=ax, kind='line', title=title)


    for polid, t0 in [(41, 5), (171, 5)]:
        draw(polid, t0)


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  1.981 seconds)


.. _sphx_glr_download_generated_examples_solvency2_plot_scr_cashflows.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_scr_cashflows.py <plot_scr_cashflows.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_scr_cashflows.ipynb <plot_scr_cashflows.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_