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+{
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "metadata": {
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+ "ExecuteTime": {
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+ "end_time": "2019-02-01T01:46:50.781253Z",
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+ "start_time": "2019-02-01T01:46:29.756997Z"
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+ }
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/html": [
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+ "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
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+ ],
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+ "text/vnd.plotly.v1+html": [
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+ "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "text/html": [
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+ "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
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+ ],
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+ "text/vnd.plotly.v1+html": [
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+ "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "# Standard Data Science Helpers\n",
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+ "import numpy as np\n",
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+ "import pandas as pd\n",
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+ "import scipy\n",
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+ "\n",
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+ "import plotly.plotly as py\n",
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+ "import plotly.graph_objs as go\n",
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+ "from plotly.offline import iplot, init_notebook_mode\n",
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+ "init_notebook_mode(connected=True)\n",
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+ "\n",
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+ "import cufflinks as cf\n",
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+ "cf.set_config_file(world_readable=True, theme=\"pearl\")\n",
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+ "cf.go_offline(connected=True)\n",
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+ "\n",
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+ "# Extra options\n",
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+ "pd.options.display.max_rows = 10\n",
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+ "pd.options.display.max_columns = 25\n",
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+ "# Show all code cells outputs\n",
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+ "from IPython.core.interactiveshell import InteractiveShell\n",
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+ "InteractiveShell.ast_node_interactivity = 'all'"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 9,
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+ "metadata": {
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+ "ExecuteTime": {
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+ "end_time": "2019-02-01T01:54:57.248907Z",
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+ "start_time": "2019-02-01T01:54:57.243921Z"
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+ }
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "0.004731"
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+ ]
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+ },
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+ "execution_count": 9,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "2.85e6 * 1.66e-9"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 8,
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+ "metadata": {
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+ "ExecuteTime": {
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+ "end_time": "2019-02-01T01:48:13.668505Z",
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+ "start_time": "2019-02-01T01:48:13.657534Z"
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+ }
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "1"
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+ ]
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+ },
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+ "execution_count": 8,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "interval = 10e6\n",
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+ "rate = 1 / interval\n",
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+ "years = 80\n",
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+ "lamb = rate * years\n",
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+ "\n",
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+ "impacts = np.random.poisson(lamb, size=100000)\n",
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+ "(impacts > 0).sum()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "metadata": {
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+ "ExecuteTime": {
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+ "end_time": "2019-02-01T01:47:46.511197Z",
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+ "start_time": "2019-02-01T01:47:46.506211Z"
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+ }
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "8e-08"
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+ ]
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+ },
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+ "execution_count": 5,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "lamb"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "metadata": {
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+ "ExecuteTime": {
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+ "end_time": "2019-02-01T01:47:39.866043Z",
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+ "start_time": "2019-02-01T01:47:39.858065Z"
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+ }
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "0"
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+ ]
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+ },
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+ "execution_count": 4,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "impacts.sum()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.6.5"
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+ },
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+ "toc": {
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+ "base_numbering": 1,
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+ "nav_menu": {},
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+ "number_sections": true,
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+ "sideBar": true,
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+ "skip_h1_title": false,
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+ "title_cell": "Table of Contents",
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+ "title_sidebar": "Contents",
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+ "toc_cell": false,
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+ "toc_position": {},
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+ "toc_section_display": true,
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+ "toc_window_display": false
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+ },
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+ "varInspector": {
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+ "cols": {
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+ "lenName": 16,
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+ "lenType": 16,
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+ "lenVar": 40
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+ },
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+ "kernels_config": {
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+ "python": {
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+ "delete_cmd_postfix": "",
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+ "delete_cmd_prefix": "del ",
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+ "library": "var_list.py",
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+ "varRefreshCmd": "print(var_dic_list())"
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+ },
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+ "r": {
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+ "delete_cmd_postfix": ") ",
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+ "delete_cmd_prefix": "rm(",
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+ "library": "var_list.r",
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+ "varRefreshCmd": "cat(var_dic_list()) "
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+ }
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+ },
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+ "types_to_exclude": [
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+ "module",
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+ "function",
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+ "builtin_function_or_method",
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+ "instance",
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+ "_Feature"
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+ ],
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+ "window_display": false
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 2
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+}
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