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alonsosilvaallende/proporcion_sobrevivientes_en_francia.ipynb

Created December 27, 2021 10:21
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proporcion_sobrevivientes_en_francia.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Proporcion_sobrevivientes_en_Francia.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyNOvJoQa5WfoCc9sWBgDKCg",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/d99661f7620f717dc6763a9ffaff4361/proporcion_sobrevivientes_en_francia.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "0TGEwQ4N9BTK"
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"source": [
"Fuente: INSEE 2018 https://www.insee.fr/fr/statistiques/3311422?sommaire=3311425"
],
"metadata": {
"id": "KQRIWkdzaJWG"
}
},
{
"cell_type": "code",
"source": [
"!wget -q https://www.insee.fr/fr/statistiques/fichier/3311422/morta_niv_2016.xls"
],
"metadata": {
"id": "HRugkwdA9Fg4"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df_hommes = pd.read_excel(\"morta_niv_2016.xls\", header=6, sheet_name=0, index_col=\"INDICATEUR\")\n",
"df_hommes = df_hommes.drop(['Âge'])\n",
"df_hommes = df_hommes.iloc[:105]\n",
"df_hommes.head(5)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 371
},
"id": "ztHh_kPf9Mxw",
"outputId": "117f1f63-4b59-45c4-cec0-38e9315ac24d"
},
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"\n",
" <div id=\"df-008eeaf5-ea27-450d-a5ac-9badc63aad86\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Quotient de mortalité, pour 100 000</th>\n",
" <th>Survie à l’âge x</th>\n",
" <th>Espérance de vie à l’âge x</th>\n",
" <th>Quotient de mortalité, pour 100 000.1</th>\n",
" <th>Survie à l’âge x.1</th>\n",
" <th>Espérance de vie à l’âge x.1</th>\n",
" <th>Quotient de mortalité, pour 100 000.2</th>\n",
" <th>Survie à l’âge x.2</th>\n",
" <th>Espérance de vie à l’âge x.2</th>\n",
" <th>Quotient de mortalité, pour 100 000.3</th>\n",
" <th>Survie à l’âge x.3</th>\n",
" <th>Espérance de vie à l’âge x.3</th>\n",
" <th>Quotient de mortalité, pour 100 000.4</th>\n",
" <th>Survie à l’âge x.4</th>\n",
" <th>Espérance de vie à l’âge x.4</th>\n",
" <th>Quotient de mortalité, pour 100 000.5</th>\n",
" <th>Survie à l’âge x.5</th>\n",
" <th>Espérance de vie à l’âge x.5</th>\n",
" <th>Quotient de mortalité, pour 100 000.6</th>\n",
" <th>Survie à l’âge x.6</th>\n",
" <th>Espérance de vie à l’âge x.6</th>\n",
" <th>Quotient de mortalité, pour 100 000.7</th>\n",
" <th>Survie à l’âge x.7</th>\n",
" <th>Espérance de vie à l’âge x.7</th>\n",
" <th>Quotient de mortalité, pour 100 000.8</th>\n",
" <th>Survie à l’âge x.8</th>\n",
" <th>Espérance de vie à l’âge x.8</th>\n",
" <th>Quotient de mortalité, pour 100 000.9</th>\n",
" <th>Survie à l’âge x.9</th>\n",
" <th>Espérance de vie à l’âge x.9</th>\n",
" <th>Quotient de mortalité, pour 100 000.10</th>\n",
" <th>Survie à l’âge x.10</th>\n",
" <th>Espérance de vie à l’âge x.10</th>\n",
" <th>Quotient de mortalité, pour 100 000.11</th>\n",
" <th>Survie à l’âge x.11</th>\n",
" <th>Espérance de vie à l’âge x.11</th>\n",
" <th>Quotient de mortalité, pour 100 000.12</th>\n",
" <th>Survie à l’âge x.12</th>\n",
" <th>Espérance de vie à l’âge x.12</th>\n",
" <th>Quotient de mortalité, pour 100 000.13</th>\n",
" <th>Survie à l’âge x.13</th>\n",
" <th>Espérance de vie à l’âge x.13</th>\n",
" <th>Quotient de mortalité, pour 100 000.14</th>\n",
" <th>Survie à l’âge x.14</th>\n",
" <th>Espérance de vie à l’âge x.14</th>\n",
" <th>Quotient de mortalité, pour 100 000.15</th>\n",
" <th>Survie à l’âge x.15</th>\n",
" <th>Espérance de vie à l’âge x.15</th>\n",
" <th>Quotient de mortalité, pour 100 000.16</th>\n",
" <th>Survie à l’âge x.16</th>\n",
" <th>Espérance de vie à l’âge x.16</th>\n",
" <th>Quotient de mortalité, pour 100 000.17</th>\n",
" <th>Survie à l’âge x.17</th>\n",
" <th>Espérance de vie à l’âge x.17</th>\n",
" <th>Quotient de mortalité, pour 100 000.18</th>\n",
" <th>Survie à l’âge x.18</th>\n",
" <th>Espérance de vie à l’âge x.18</th>\n",
" <th>Quotient de mortalité, pour 100 000.19</th>\n",
" <th>Survie à l’âge x.19</th>\n",
" <th>Espérance de vie à l’âge x.19</th>\n",
" <th>Quotient de mortalité, pour 100 000.20</th>\n",
" <th>Survie à l’âge x.20</th>\n",
" <th>Espérance de vie à l’âge x.20</th>\n",
" </tr>\n",
" <tr>\n",
" <th>INDICATEUR</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>353.622</td>\n",
" <td>100000</td>\n",
" <td>78.9591</td>\n",
" <td>478.186106</td>\n",
" <td>100000.000000</td>\n",
" <td>71.6775</td>\n",
" <td>441.421411</td>\n",
" <td>100000.000000</td>\n",
" <td>73.0253</td>\n",
" <td>391.505671</td>\n",
" <td>100000.000000</td>\n",
" <td>74.2051</td>\n",
" <td>354.248980</td>\n",
" <td>100000.000000</td>\n",
" <td>75.219</td>\n",
" <td>330.299560</td>\n",
" <td>100000.000000</td>\n",
" <td>76.0927</td>\n",
" <td>314.190660</td>\n",
" <td>100000.000000</td>\n",
" <td>76.8555</td>\n",
" <td>304.904923</td>\n",
" <td>100000.000000</td>\n",
" <td>77.5271</td>\n",
" <td>298.867401</td>\n",
" <td>100000.000000</td>\n",
" <td>78.1283</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>78.6726</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>79.1706</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>79.6369</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>80.0815</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>80.5179</td>\n",
" <td>295.893621</td>\n",
" <td>100000.000000</td>\n",
" <td>80.9544</td>\n",
" <td>292.949430</td>\n",
" <td>100000.000000</td>\n",
" <td>81.4124</td>\n",
" <td>290.034534</td>\n",
" <td>100000.000000</td>\n",
" <td>81.8959</td>\n",
" <td>287.148643</td>\n",
" <td>100000.000000</td>\n",
" <td>82.418</td>\n",
" <td>281.462718</td>\n",
" <td>100000.000000</td>\n",
" <td>82.9956</td>\n",
" <td>273.144238</td>\n",
" <td>100000.000000</td>\n",
" <td>83.6443</td>\n",
" <td>259.822836</td>\n",
" <td>100000.000000</td>\n",
" <td>84.3769</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>62.1137</td>\n",
" <td>99646.4</td>\n",
" <td>78.2393</td>\n",
" <td>83.931417</td>\n",
" <td>99521.813894</td>\n",
" <td>71.0219</td>\n",
" <td>77.478463</td>\n",
" <td>99558.578589</td>\n",
" <td>72.3491</td>\n",
" <td>68.717232</td>\n",
" <td>99608.494329</td>\n",
" <td>73.4968</td>\n",
" <td>62.177923</td>\n",
" <td>99645.751020</td>\n",
" <td>74.4865</td>\n",
" <td>57.974311</td>\n",
" <td>99669.700440</td>\n",
" <td>75.3449</td>\n",
" <td>55.146871</td>\n",
" <td>99685.809340</td>\n",
" <td>76.0978</td>\n",
" <td>53.517034</td>\n",
" <td>99695.095077</td>\n",
" <td>76.7642</td>\n",
" <td>52.457326</td>\n",
" <td>99701.132599</td>\n",
" <td>77.3625</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>77.9061</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>78.4055</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>78.8732</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>79.3192</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>79.7568</td>\n",
" <td>51.935367</td>\n",
" <td>99704.106379</td>\n",
" <td>80.1947</td>\n",
" <td>51.418601</td>\n",
" <td>99707.050570</td>\n",
" <td>80.6516</td>\n",
" <td>50.906978</td>\n",
" <td>99709.965466</td>\n",
" <td>81.1341</td>\n",
" <td>50.400445</td>\n",
" <td>99712.851357</td>\n",
" <td>81.6554</td>\n",
" <td>49.402449</td>\n",
" <td>99718.537282</td>\n",
" <td>82.2299</td>\n",
" <td>47.942386</td>\n",
" <td>99726.855762</td>\n",
" <td>82.8734</td>\n",
" <td>45.604208</td>\n",
" <td>99740.177164</td>\n",
" <td>83.5967</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>23.936</td>\n",
" <td>99584.5</td>\n",
" <td>77.2879</td>\n",
" <td>32.459722</td>\n",
" <td>99438.283825</td>\n",
" <td>70.0815</td>\n",
" <td>29.964100</td>\n",
" <td>99481.442132</td>\n",
" <td>71.4052</td>\n",
" <td>26.575773</td>\n",
" <td>99540.046129</td>\n",
" <td>72.5473</td>\n",
" <td>24.046754</td>\n",
" <td>99583.793361</td>\n",
" <td>73.5328</td>\n",
" <td>22.421044</td>\n",
" <td>99611.917618</td>\n",
" <td>74.3886</td>\n",
" <td>21.327557</td>\n",
" <td>99630.835735</td>\n",
" <td>75.1397</td>\n",
" <td>20.697233</td>\n",
" <td>99641.741219</td>\n",
" <td>75.8053</td>\n",
" <td>20.287400</td>\n",
" <td>99648.832051</td>\n",
" <td>76.4031</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>76.9466</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>77.4463</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>77.9142</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>78.3604</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>78.7983</td>\n",
" <td>20.085537</td>\n",
" <td>99652.324686</td>\n",
" <td>79.2363</td>\n",
" <td>19.885682</td>\n",
" <td>99655.782599</td>\n",
" <td>79.6931</td>\n",
" <td>19.687817</td>\n",
" <td>99659.206136</td>\n",
" <td>80.1754</td>\n",
" <td>19.491920</td>\n",
" <td>99662.595637</td>\n",
" <td>80.6965</td>\n",
" <td>19.105954</td>\n",
" <td>99669.273882</td>\n",
" <td>81.2705</td>\n",
" <td>18.541287</td>\n",
" <td>99679.044328</td>\n",
" <td>81.9131</td>\n",
" <td>17.637018</td>\n",
" <td>99694.691446</td>\n",
" <td>82.6348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>17.8204</td>\n",
" <td>99560.6</td>\n",
" <td>76.3064</td>\n",
" <td>24.046754</td>\n",
" <td>99406.006435</td>\n",
" <td>69.1043</td>\n",
" <td>22.197951</td>\n",
" <td>99451.633414</td>\n",
" <td>70.4266</td>\n",
" <td>19.687817</td>\n",
" <td>99513.592593</td>\n",
" <td>71.5666</td>\n",
" <td>17.814273</td>\n",
" <td>99559.846692</td>\n",
" <td>72.5505</td>\n",
" <td>16.609918</td>\n",
" <td>99589.583586</td>\n",
" <td>73.4052</td>\n",
" <td>15.799843</td>\n",
" <td>99609.586912</td>\n",
" <td>74.1558</td>\n",
" <td>15.332887</td>\n",
" <td>99621.118136</td>\n",
" <td>74.821</td>\n",
" <td>15.029276</td>\n",
" <td>99628.615894</td>\n",
" <td>75.4186</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>75.962</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>76.4618</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>76.9298</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>77.3761</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>77.8141</td>\n",
" <td>14.879732</td>\n",
" <td>99632.308981</td>\n",
" <td>78.2523</td>\n",
" <td>14.731676</td>\n",
" <td>99635.965367</td>\n",
" <td>78.7089</td>\n",
" <td>14.585093</td>\n",
" <td>99639.585414</td>\n",
" <td>79.1912</td>\n",
" <td>14.439969</td>\n",
" <td>99643.169484</td>\n",
" <td>79.7123</td>\n",
" <td>14.154039</td>\n",
" <td>99650.231117</td>\n",
" <td>80.2861</td>\n",
" <td>13.735724</td>\n",
" <td>99660.562550</td>\n",
" <td>80.9283</td>\n",
" <td>13.065824</td>\n",
" <td>99677.108275</td>\n",
" <td>81.6494</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>13.8637</td>\n",
" <td>99542.9</td>\n",
" <td>75.3201</td>\n",
" <td>18.727630</td>\n",
" <td>99382.102517</td>\n",
" <td>68.1209</td>\n",
" <td>17.287782</td>\n",
" <td>99429.557188</td>\n",
" <td>69.4423</td>\n",
" <td>15.332887</td>\n",
" <td>99494.000539</td>\n",
" <td>70.5807</td>\n",
" <td>13.873770</td>\n",
" <td>99542.110829</td>\n",
" <td>71.5634</td>\n",
" <td>12.935817</td>\n",
" <td>99573.041837</td>\n",
" <td>72.4174</td>\n",
" <td>12.304930</td>\n",
" <td>99593.848754</td>\n",
" <td>73.1675</td>\n",
" <td>11.941264</td>\n",
" <td>99605.843342</td>\n",
" <td>73.8324</td>\n",
" <td>11.704812</td>\n",
" <td>99613.642435</td>\n",
" <td>74.43</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>74.9733</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>75.4732</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>75.9413</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>76.3877</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>76.8257</td>\n",
" <td>11.588347</td>\n",
" <td>99617.483961</td>\n",
" <td>77.2639</td>\n",
" <td>11.473041</td>\n",
" <td>99621.287319</td>\n",
" <td>77.7205</td>\n",
" <td>11.358882</td>\n",
" <td>99625.052887</td>\n",
" <td>78.2028</td>\n",
" <td>11.245859</td>\n",
" <td>99628.781041</td>\n",
" <td>78.7238</td>\n",
" <td>11.023176</td>\n",
" <td>99636.126584</td>\n",
" <td>79.2974</td>\n",
" <td>10.697392</td>\n",
" <td>99646.873450</td>\n",
" <td>79.9394</td>\n",
" <td>10.175674</td>\n",
" <td>99664.084639</td>\n",
" <td>80.66</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-008eeaf5-ea27-450d-a5ac-9badc63aad86')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
" \n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
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" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
" </svg>\n",
" </button>\n",
" \n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" flex-wrap:wrap;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-008eeaf5-ea27-450d-a5ac-9badc63aad86 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-008eeaf5-ea27-450d-a5ac-9badc63aad86');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
],
"text/plain": [
" Quotient de mortalité, pour 100 000 ... Espérance de vie à l’âge x.20\n",
"INDICATEUR ... \n",
"0 353.622 ... 84.3769\n",
"1 62.1137 ... 83.5967\n",
"2 23.936 ... 82.6348\n",
"3 17.8204 ... 81.6494\n",
"4 13.8637 ... 80.66\n",
"\n",
"[5 rows x 63 columns]"
]
},
"metadata": {},
"execution_count": 3
}
]
},
{
"cell_type": "code",
"source": [
"df_hommes_D1 = (df_hommes['Survie à l’âge x.1']/1000 + df_hommes['Survie à l’âge x.2']/1000)/2\n",
"df_hommes_D1.iloc[62]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mg3qjAEIIXCD",
"outputId": "87258663-8f04-4cac-e9d8-547c5fe5d395"
},
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"76.08990141216779"
]
},
"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "code",
"source": [
"df_hommes_D10 = (df_hommes['Survie à l’âge x.19']/1000 + df_hommes['Survie à l’âge x.20']/1000)/2\n",
"df_hommes_D10.iloc[62]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ELT1FDmFK3uV",
"outputId": "a9582e32-a94a-40e6-e2ff-04c923902690"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"94.71568380622458"
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"fig, ax = plt.subplots(figsize=(10,10))\n",
"circle1 = plt.Circle((62, 76), 0.3, color='r')\n",
"circle2 = plt.Circle((62, 76), 0.7, color='w')\n",
"circle3 = plt.Circle((62, 95), 0.3, color='blueviolet')\n",
"circle4 = plt.Circle((62, 95), 0.7, color='w')\n",
"ax.add_patch(circle2)\n",
"ax.add_patch(circle1)\n",
"ax.add_patch(circle4)\n",
"ax.add_patch(circle3)\n",
"ax.fill_between(df_hommes_D1.index, df_hommes_D1, color=\"red\", alpha=0.5)\n",
"ax.fill_between(df_hommes_D1.index, df_hommes_D1, df_hommes_D10, color=\"blueviolet\", alpha=0.5)\n",
"ax.fill_between(df_hommes_D10.index, df_hommes_D10, 100, color=\"blue\", alpha=0.2)\n",
"ax.text(55, 75.5, '76%', bbox=dict(boxstyle='rarrow', fc=\"r\", alpha=0.1, ec=\"black\", lw=2), color=\"white\")\n",
"ax.text(65, 94.5, '95%', bbox=dict(boxstyle='larrow', fc=\"r\", alpha=0.1, ec=\"black\", lw=2), color=\"white\")\n",
"ax.set_xticks([10*i for i in np.arange(1,11)])\n",
"ax.set_xticklabels([f\"{10*i} años\" for i in np.arange(1,11)])\n",
"ax.tick_params(axis=\"x\", direction=\"in\", pad=-20)\n",
"ax.set_yticks([10*i for i in np.arange(1,10)])\n",
"ax.set_yticklabels([f\"{10*i}%\" for i in np.arange(1,10)])\n",
"ax.tick_params(axis=\"y\", direction=\"in\", pad=-30)\n",
"ax.set_xlim(0,104)\n",
"ax.set_ylim(0,100)\n",
"ax.text(70, 41, '10% más pobres', rotation=-65)\n",
"ax.text(70, 76, '10% más ricos', rotation=-55)\n",
"ax.text(40, 63, 'Proporción de\\npersonas vivas')\n",
"ax.text(85, 73, 'Proporción de\\npersonas muertas')\n",
"ax.text(52, 28, '62 años\\nedad legal de jubilación\\nen Francia', color=\"white\", fontweight='bold',\n",
" bbox={'facecolor': 'black', 'pad': 10})\n",
"ax.annotate(s='', xy=(53,76), xytext=(50,76), arrowprops={'arrowstyle':'simple'})\n",
"ax.text(20, 73, \"A 62 años, 76% de los hombres\\nmás pobres aún viven ~ uno de\\ncada cuatro ya ha fallecido\")\n",
"ax.annotate(s='', xy=(70,95), xytext=(73,95), arrowprops={'arrowstyle':'simple'})\n",
"ax.text(73.5, 92, \"A 62 años, sólo 5% de los\\nhombres más ricos ha fallecido\")\n",
"ax.axvline(x=62, color=\"black\", linestyle=(0, (1, 3)))\n",
"ax.grid(color='white', linestyle=(0, (1, 5)), axis='y')\n",
"ax.text(10, 38, \"Proporción de\\nsobrevivientes hombres\\npor edad y nivel de\\ningresos en Francia\", fontsize=20)\n",
"ax.text(10, 33, \"Fuente: Insee 2018\")\n",
"plt.savefig(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-insee-hommes.svg\", bbox_inches='tight', format='svg')\n",
"# plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 575
},
"id": "FSKdn_XF9dCL",
"outputId": "0ba75e5c-f45e-4751-990f-5379bbafd683"
},
"execution_count": 6,
"outputs": [
{
"output_type": "display_data",
"data": {
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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"from google.colab import files\n",
"files.download(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-insee-hommes.svg\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"id": "kVpf88y2X0vT",
"outputId": "8f84af7d-351a-4332-a80f-3e24531b4f03"
},
"execution_count": 7,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"application/javascript": [
"download(\"download_1d28bf09-7977-4770-ad12-07fde710737f\", \"2021-12-27-insee-hommes.svg\", 98923)"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"df_femmes = pd.read_excel(\"morta_niv_2016.xls\", header=6, sheet_name=1, index_col=\"INDICATEUR\")\n",
"df_femmes = df_femmes.drop(['Âge'])\n",
"df_femmes = df_femmes.iloc[:105]\n",
"df_femmes.head(5)"
],
"metadata": {
"id": "e1TZrn3qGbEs",
"outputId": "413d9435-854f-4e43-ad85-a130dfe42550",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 371
}
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"\n",
" <div id=\"df-1aebf4bf-39db-46f1-8481-20cbc2d2d1c1\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Quotient de mortalité, pour 100 000</th>\n",
" <th>Survie à l’âge x</th>\n",
" <th>Espérance de vie à l’âge x</th>\n",
" <th>Quotient de mortalité, pour 100 000.1</th>\n",
" <th>Survie à l’âge x.1</th>\n",
" <th>Espérance de vie à l’âge x.1</th>\n",
" <th>Quotient de mortalité, pour 100 000.2</th>\n",
" <th>Survie à l’âge x.2</th>\n",
" <th>Espérance de vie à l’âge x.2</th>\n",
" <th>Quotient de mortalité, pour 100 000.3</th>\n",
" <th>Survie à l’âge x.3</th>\n",
" <th>Espérance de vie à l’âge x.3</th>\n",
" <th>Quotient de mortalité, pour 100 000.4</th>\n",
" <th>Survie à l’âge x.4</th>\n",
" <th>Espérance de vie à l’âge x.4</th>\n",
" <th>Quotient de mortalité, pour 100 000.5</th>\n",
" <th>Survie à l’âge x.5</th>\n",
" <th>Espérance de vie à l’âge x.5</th>\n",
" <th>Quotient de mortalité, pour 100 000.6</th>\n",
" <th>Survie à l’âge x.6</th>\n",
" <th>Espérance de vie à l’âge x.6</th>\n",
" <th>Quotient de mortalité, pour 100 000.7</th>\n",
" <th>Survie à l’âge x.7</th>\n",
" <th>Espérance de vie à l’âge x.7</th>\n",
" <th>Quotient de mortalité, pour 100 000.8</th>\n",
" <th>Survie à l’âge x.8</th>\n",
" <th>Espérance de vie à l’âge x.8</th>\n",
" <th>Quotient de mortalité, pour 100 000.9</th>\n",
" <th>Survie à l’âge x.9</th>\n",
" <th>Espérance de vie à l’âge x.9</th>\n",
" <th>Quotient de mortalité, pour 100 000.10</th>\n",
" <th>Survie à l’âge x.10</th>\n",
" <th>Espérance de vie à l’âge x.10</th>\n",
" <th>Quotient de mortalité, pour 100 000.11</th>\n",
" <th>Survie à l’âge x.11</th>\n",
" <th>Espérance de vie à l’âge x.11</th>\n",
" <th>Quotient de mortalité, pour 100 000.12</th>\n",
" <th>Survie à l’âge x.12</th>\n",
" <th>Espérance de vie à l’âge x.12</th>\n",
" <th>Quotient de mortalité, pour 100 000.13</th>\n",
" <th>Survie à l’âge x.13</th>\n",
" <th>Espérance de vie à l’âge x.13</th>\n",
" <th>Quotient de mortalité, pour 100 000.14</th>\n",
" <th>Survie à l’âge x.14</th>\n",
" <th>Espérance de vie à l’âge x.14</th>\n",
" <th>Quotient de mortalité, pour 100 000.15</th>\n",
" <th>Survie à l’âge x.15</th>\n",
" <th>Espérance de vie à l’âge x.15</th>\n",
" <th>Quotient de mortalité, pour 100 000.16</th>\n",
" <th>Survie à l’âge x.16</th>\n",
" <th>Espérance de vie à l’âge x.16</th>\n",
" <th>Quotient de mortalité, pour 100 000.17</th>\n",
" <th>Survie à l’âge x.17</th>\n",
" <th>Espérance de vie à l’âge x.17</th>\n",
" <th>Quotient de mortalité, pour 100 000.18</th>\n",
" <th>Survie à l’âge x.18</th>\n",
" <th>Espérance de vie à l’âge x.18</th>\n",
" <th>Quotient de mortalité, pour 100 000.19</th>\n",
" <th>Survie à l’âge x.19</th>\n",
" <th>Espérance de vie à l’âge x.19</th>\n",
" <th>Quotient de mortalité, pour 100 000.20</th>\n",
" <th>Survie à l’âge x.20</th>\n",
" <th>Espérance de vie à l’âge x.20</th>\n",
" </tr>\n",
" <tr>\n",
" <th>INDICATEUR</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>290.436</td>\n",
" <td>100000</td>\n",
" <td>85.1515</td>\n",
" <td>415.715029</td>\n",
" <td>100000.000000</td>\n",
" <td>80.03</td>\n",
" <td>383.753339</td>\n",
" <td>100000.000000</td>\n",
" <td>81.0993</td>\n",
" <td>357.809242</td>\n",
" <td>100000.000000</td>\n",
" <td>82.0269</td>\n",
" <td>336.972054</td>\n",
" <td>100000.000000</td>\n",
" <td>82.8237</td>\n",
" <td>320.537733</td>\n",
" <td>100000.000000</td>\n",
" <td>83.5026</td>\n",
" <td>304.904923</td>\n",
" <td>100000.000000</td>\n",
" <td>84.0836</td>\n",
" <td>290.034534</td>\n",
" <td>100000.000000</td>\n",
" <td>84.5777</td>\n",
" <td>281.462718</td>\n",
" <td>100000.000000</td>\n",
" <td>84.9915</td>\n",
" <td>273.144238</td>\n",
" <td>100000.000000</td>\n",
" <td>85.3442</td>\n",
" <td>265.071606</td>\n",
" <td>100000.000000</td>\n",
" <td>85.6491</td>\n",
" <td>259.822836</td>\n",
" <td>100000.000000</td>\n",
" <td>85.9135</td>\n",
" <td>257.237556</td>\n",
" <td>100000.000000</td>\n",
" <td>86.1508</td>\n",
" <td>257.237556</td>\n",
" <td>100000.000000</td>\n",
" <td>86.3698</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>86.591</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>86.8129</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>87.0504</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>87.3098</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>87.598</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>87.9231</td>\n",
" <td>254.677999</td>\n",
" <td>100000.000000</td>\n",
" <td>88.2871</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>56.2848</td>\n",
" <td>99709.6</td>\n",
" <td>84.3996</td>\n",
" <td>80.640419</td>\n",
" <td>99584.284971</td>\n",
" <td>79.3641</td>\n",
" <td>74.440489</td>\n",
" <td>99616.246661</td>\n",
" <td>80.4117</td>\n",
" <td>69.407852</td>\n",
" <td>99642.190758</td>\n",
" <td>81.3215</td>\n",
" <td>65.365853</td>\n",
" <td>99663.027946</td>\n",
" <td>82.1037</td>\n",
" <td>62.177923</td>\n",
" <td>99679.462267</td>\n",
" <td>82.7711</td>\n",
" <td>59.145470</td>\n",
" <td>99695.095077</td>\n",
" <td>83.3408</td>\n",
" <td>56.260911</td>\n",
" <td>99709.965466</td>\n",
" <td>83.8238</td>\n",
" <td>54.598150</td>\n",
" <td>99718.537282</td>\n",
" <td>84.2314</td>\n",
" <td>52.984531</td>\n",
" <td>99726.855762</td>\n",
" <td>84.578</td>\n",
" <td>51.418601</td>\n",
" <td>99734.928394</td>\n",
" <td>84.8767</td>\n",
" <td>50.400445</td>\n",
" <td>99740.177164</td>\n",
" <td>85.1374</td>\n",
" <td>49.898952</td>\n",
" <td>99742.762444</td>\n",
" <td>85.373</td>\n",
" <td>49.898952</td>\n",
" <td>99742.762444</td>\n",
" <td>85.5926</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>85.8121</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>86.0345</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>86.2727</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>86.5328</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>86.8217</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>87.1476</td>\n",
" <td>49.402449</td>\n",
" <td>99745.322001</td>\n",
" <td>87.5126</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>21.453</td>\n",
" <td>99653.4</td>\n",
" <td>83.4471</td>\n",
" <td>30.876643</td>\n",
" <td>99503.979786</td>\n",
" <td>78.4282</td>\n",
" <td>28.502734</td>\n",
" <td>99542.091840</td>\n",
" <td>79.4716</td>\n",
" <td>26.575773</td>\n",
" <td>99573.031254</td>\n",
" <td>80.378</td>\n",
" <td>25.028120</td>\n",
" <td>99597.882358</td>\n",
" <td>81.1574</td>\n",
" <td>23.807484</td>\n",
" <td>99617.483648</td>\n",
" <td>81.8226</td>\n",
" <td>22.646380</td>\n",
" <td>99636.129945</td>\n",
" <td>82.3901</td>\n",
" <td>21.541903</td>\n",
" <td>99653.867730</td>\n",
" <td>82.8709</td>\n",
" <td>20.905243</td>\n",
" <td>99664.092805</td>\n",
" <td>83.2774</td>\n",
" <td>20.287400</td>\n",
" <td>99674.015955</td>\n",
" <td>83.6228</td>\n",
" <td>19.687817</td>\n",
" <td>99683.646089</td>\n",
" <td>83.9204</td>\n",
" <td>19.297972</td>\n",
" <td>99689.907671</td>\n",
" <td>84.1803</td>\n",
" <td>19.105954</td>\n",
" <td>99692.991851</td>\n",
" <td>84.4157</td>\n",
" <td>19.105954</td>\n",
" <td>99692.991851</td>\n",
" <td>84.6353</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>84.8545</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>85.0771</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>85.3153</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>85.5755</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>85.8646</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>86.1907</td>\n",
" <td>18.915846</td>\n",
" <td>99696.045369</td>\n",
" <td>86.5558</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>13.263</td>\n",
" <td>99632.1</td>\n",
" <td>82.465</td>\n",
" <td>18.915846</td>\n",
" <td>99473.256298</td>\n",
" <td>77.4524</td>\n",
" <td>17.461527</td>\n",
" <td>99513.719623</td>\n",
" <td>78.4943</td>\n",
" <td>16.281020</td>\n",
" <td>99546.568952</td>\n",
" <td>79.3993</td>\n",
" <td>15.332887</td>\n",
" <td>99572.954880</td>\n",
" <td>80.1778</td>\n",
" <td>14.585093</td>\n",
" <td>99593.767231</td>\n",
" <td>80.8421</td>\n",
" <td>13.873770</td>\n",
" <td>99613.565968</td>\n",
" <td>81.4088</td>\n",
" <td>13.197138</td>\n",
" <td>99632.400391</td>\n",
" <td>81.8888</td>\n",
" <td>12.807104</td>\n",
" <td>99643.257784</td>\n",
" <td>82.2948</td>\n",
" <td>12.428597</td>\n",
" <td>99653.794689</td>\n",
" <td>82.6398</td>\n",
" <td>12.061276</td>\n",
" <td>99664.020556</td>\n",
" <td>82.9369</td>\n",
" <td>11.822447</td>\n",
" <td>99670.669541</td>\n",
" <td>83.1965</td>\n",
" <td>11.704812</td>\n",
" <td>99673.944554</td>\n",
" <td>83.4318</td>\n",
" <td>11.704812</td>\n",
" <td>99673.944554</td>\n",
" <td>83.6515</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>83.8706</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>84.0932</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>84.3315</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>84.5917</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>84.8808</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>85.207</td>\n",
" <td>11.588347</td>\n",
" <td>99677.187018</td>\n",
" <td>85.5722</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>10.7</td>\n",
" <td>99618.9</td>\n",
" <td>81.4759</td>\n",
" <td>15.332887</td>\n",
" <td>99454.440089</td>\n",
" <td>76.4671</td>\n",
" <td>14.154039</td>\n",
" <td>99496.343008</td>\n",
" <td>77.508</td>\n",
" <td>13.197138</td>\n",
" <td>99530.361755</td>\n",
" <td>78.4122</td>\n",
" <td>12.428597</td>\n",
" <td>99557.687471</td>\n",
" <td>79.1901</td>\n",
" <td>11.822447</td>\n",
" <td>99579.241387</td>\n",
" <td>79.8539</td>\n",
" <td>11.245859</td>\n",
" <td>99599.745811</td>\n",
" <td>80.4201</td>\n",
" <td>10.697392</td>\n",
" <td>99619.251766</td>\n",
" <td>80.8996</td>\n",
" <td>10.381237</td>\n",
" <td>99630.496368</td>\n",
" <td>81.3054</td>\n",
" <td>10.074425</td>\n",
" <td>99641.409121</td>\n",
" <td>81.6501</td>\n",
" <td>9.776680</td>\n",
" <td>99651.999803</td>\n",
" <td>81.9469</td>\n",
" <td>9.583089</td>\n",
" <td>99658.886029</td>\n",
" <td>82.2064</td>\n",
" <td>9.487736</td>\n",
" <td>99662.277907</td>\n",
" <td>82.4416</td>\n",
" <td>9.487736</td>\n",
" <td>99662.277907</td>\n",
" <td>82.6613</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>82.8803</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>83.1029</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>83.3412</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>83.6015</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>83.8907</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>84.2169</td>\n",
" <td>9.393331</td>\n",
" <td>99665.636080</td>\n",
" <td>84.5821</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
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],
"text/plain": [
" Quotient de mortalité, pour 100 000 ... Espérance de vie à l’âge x.20\n",
"INDICATEUR ... \n",
"0 290.436 ... 88.2871\n",
"1 56.2848 ... 87.5126\n",
"2 21.453 ... 86.5558\n",
"3 13.263 ... 85.5722\n",
"4 10.7 ... 84.5821\n",
"\n",
"[5 rows x 63 columns]"
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"source": [
"df_femmes_D1 = (df_femmes['Survie à l’âge x.1']/1000 + df_femmes['Survie à l’âge x.2']/1000)/2\n",
"df_femmes_D1.iloc[62]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DXOUir1zM2HS",
"outputId": "c4f441e2-ed69-46d8-b466-e33cb82665c3"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"87.82028229385142"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"df_femmes_D10 = (df_femmes['Survie à l’âge x.19']/1000 + df_femmes['Survie à l’âge x.20']/1000)/2\n",
"df_femmes_D10.iloc[62]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ucaCaijhNybD",
"outputId": "5bd5b8a0-f978-4f11-bda5-9a3904cd08be"
},
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"96.71353262716507"
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"fig, ax = plt.subplots(figsize=(10,10))\n",
"circle1 = plt.Circle((62, 88), 0.3, color='r')\n",
"circle2 = plt.Circle((62, 88), 0.7, color='w')\n",
"circle3 = plt.Circle((62, 97), 0.3, color='blueviolet')\n",
"circle4 = plt.Circle((62, 97), 0.7, color='w')\n",
"ax.add_patch(circle2)\n",
"ax.add_patch(circle1)\n",
"ax.add_patch(circle4)\n",
"ax.add_patch(circle3)\n",
"ax.fill_between(df_femmes_D1.index, df_femmes_D1, color=\"red\", alpha=0.5)\n",
"ax.fill_between(df_femmes_D1.index, df_femmes_D1, df_femmes_D10, color=\"blueviolet\", alpha=0.5)\n",
"ax.fill_between(df_femmes_D10.index, df_femmes_D10, 100, color=\"blue\", alpha=0.2)\n",
"ax.text(55, 87.5, '88%', bbox=dict(boxstyle='rarrow', fc=\"r\", alpha=0.1, ec=\"black\", lw=2), color=\"white\")\n",
"ax.text(65, 96.5, '97%', bbox=dict(boxstyle='larrow', fc=\"r\", alpha=0.1, ec=\"black\", lw=2), color=\"white\")\n",
"ax.set_xticks([10*i for i in np.arange(1,11)])\n",
"ax.set_xticklabels([f\"{10*i} años\" for i in np.arange(1,11)])\n",
"ax.tick_params(axis=\"x\", direction=\"in\", pad=-20)\n",
"ax.set_yticks([10*i for i in np.arange(1,10)])\n",
"ax.set_yticklabels([f\"{10*i}%\" for i in np.arange(1,10)])\n",
"ax.tick_params(axis=\"y\", direction=\"in\", pad=-30)\n",
"ax.set_xlim(0,104)\n",
"ax.set_ylim(0,100)\n",
"ax.text(77.5, 45, '10% más pobres', rotation=-65)\n",
"ax.text(71, 80, '10% más ricas', rotation=-55)\n",
"ax.text(40, 63, 'Proporción de\\npersonas vivas')\n",
"ax.text(86.5, 73, 'Proporción de\\npersonas muertas')\n",
"ax.text(52, 28, '62 años\\nedad legal de jubilación\\nen Francia', color=\"white\", fontweight='bold',\n",
" bbox={'facecolor': 'black', 'pad': 10})\n",
"ax.annotate(s='', xy=(53,88), xytext=(50,88), arrowprops={'arrowstyle':'simple'})\n",
"ax.text(19, 85, \"A 62 años, 88% de las mujeres\\nmás pobres aún viven. Un 12%\\nya ha fallecido\")\n",
"ax.annotate(s='', xy=(70.5,97), xytext=(73.5,97), arrowprops={'arrowstyle':'simple'})\n",
"ax.text(74, 94, \"A 62 años, sólo 3% de las\\nmujeres más ricas ha fallecido\")\n",
"ax.axvline(x=62, color=\"black\", linestyle=(0, (1, 3)))\n",
"ax.grid(color='white', linestyle=(0, (1, 5)), axis='y')\n",
"ax.text(10, 38, \"Proporción de\\nsobrevivientes mujeres\\npor edad y nivel de\\ningresos en Francia\", fontsize=20)\n",
"ax.text(10, 33, \"Fuente: Insee 2018\")\n",
"plt.savefig(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-insee-femmes.svg\", bbox_inches='tight', format='svg')\n",
"# plt.show()"
],
"metadata": {
"id": "_Bqpst8THRtE",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 575
},
"outputId": "a373cc1f-1976-4bdc-d3c2-de4abe57d514"
},
"execution_count": 11,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"from google.colab import files\n",
"files.download(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-insee-femmes.svg\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"id": "5XqGruMJAqZJ",
"outputId": "974fd18c-656e-4e25-8147-056370b354aa"
},
"execution_count": 12,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"application/javascript": [
"download(\"download_7e4d7ffb-a980-4aa8-b123-308673e18fb7\", \"2021-12-27-insee-femmes.svg\", 98377)"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {}
}
]
}
]
}
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