fastlife present values of net cashflows

  • ../../_images/sphx_glr_plot_pvnetcf_001.png
  • ../../_images/sphx_glr_plot_pvnetcf_002.png
  • ../../_images/sphx_glr_plot_pvnetcf_003.png

Out:

C:\Users\fumito\Anaconda3\lib\importlib\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
  return f(*args, **kwds)
C:\Users\fumito\Anaconda3\lib\importlib\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
  return f(*args, **kwds)

import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
import modelx as mx

proj = mx.read_model("model").Projection
pols = proj.Policy.PolicyData()


for prod in ["TERM", "WL", "ENDW"]:

    fig, ax = plt.subplots()
    fig.suptitle('PV Net Cashflow by Issue Age')
    ax.set_title('Product: ' + prod)
    title = 'Product: ' + prod
    ax.set_xlabel('Issue Age')
    ax.set_ylabel('PV Net Cashflow')

    for sex, marker in zip(["M", "F"], ["o", "^"]):
        filter = (pols.Product == prod) & (
                pols.Sex == sex) & (pols.IssueAge < 60)
        ages = proj.Policy.IssueAge().loc[filter]
        pvcfs = proj.PV_NetCashflow(0).loc[filter]
        ax.scatter(ages, pvcfs, marker=marker)


plt.show()

Total running time of the script: ( 0 minutes 18.371 seconds)

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