{
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    "%matplotlib notebook"
   ]
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "\"\"\"\n",
    ":mod:`fastlife` present values of net cashflows\n",
    "===============================================\n",
    "\"\"\"\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "import modelx as mx\n",
    "\n",
    "proj = mx.read_model(\"model\").Projection\n",
    "pols = proj.Policy.PolicyData()\n",
    "\n",
    "\n",
    "for prod in [\"TERM\", \"WL\", \"ENDW\"]:\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "    fig.suptitle('PV Net Cashflow by Issue Age')\n",
    "    ax.set_title('Product: ' + prod)\n",
    "    title = 'Product: ' + prod\n",
    "    ax.set_xlabel('Issue Age')\n",
    "    ax.set_ylabel('PV Net Cashflow')\n",
    "\n",
    "    for sex, marker in zip([\"M\", \"F\"], [\"o\", \"^\"]):\n",
    "        filter = (pols.Product == prod) & (\n",
    "                pols.Sex == sex) & (pols.IssueAge < 60)\n",
    "        ages = proj.Policy.IssueAge().loc[filter]\n",
    "        pvcfs = proj.PV_NetCashflow(0).loc[filter]\n",
    "        ax.scatter(ages, pvcfs, marker=marker)\n"
   ]
  }
 ],
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