bubblemap_andbargraph.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "49cc5a68",
   "metadata": {},
   "source": [
    "# SlaveVoyages API Example Visualization Usage\n",
    "\n",
    "This is the first example use case that we built for the new API. Nishant Satpathy, a CS Master's student at Rice, was hired on as an intern with the CRC in 2022. He took my preliminary notebook example and built it out into what follows.\n",
    "\n",
    "The use case demonstrates how one uses the \"[dataframes](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html)\" endpoint (a flat dump of values for one-to-one relations) in order to visualize the numeric data in SV.\n",
    "\n",
    "I have since [updated the API to have a Pandas microservice](https://github.com/rice-crc/voyages-api/tree/develop/stats) that handles all of this behind the scenes, so the dataframes endpoint should not be used for graphs anymore.\n",
    "\n",
    "However, this is still a highly useful example for people who would like to use the datframes endpoint to pull the legacy data on all individual voyages (itineraries, dates, and numbers of people transported). I specifically have in mind here the potential for rebuilding the imputation scripts in a notebook format like this."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b61ddf9d",
   "metadata": {},
   "source": [
    "## Step 1: import packages and auth token\n",
    "\n",
    "We will be using Pandas to handle the columnar data that is coming back at us, Plotly to visualize it, and some jupyter widgets to show off what we can do in terms of interactively manipulating the dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "db3af1c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import plotly.graph_objects as go\n",
    "import ipywidgets as widgets\n",
    "import plotly.express as px\n",
    "import numpy as np\n",
    "import json\n",
    "import re\n",
    "from app_secrets import headers\n",
    "import requests\n",
    "# base_url='https://voyages-api-staging.crc.rice.edu/voyage/'\n",
    "base_url='http://127.0.0.1:8000/voyage/'\n",
    "headers['Content-Type']= 'application/json'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "754c74a6",
   "metadata": {},
   "source": [
    "## Step 2: specify the variables/columns we will be requesting\n",
    "\n",
    "These arrays provide the variety of variables which can be used for the construction of the data visualizations.\n",
    "\n",
    "* ```numeric_vars``` are the numerical values we'll be summing, averaging, etc.\n",
    "* ```geo_vars``` refer to the categorical values that we'll be selecting/grouping by\n",
    "* ```date_vars``` refer to the ordinal values we'll be selecting/grouping as well as sorting by\n",
    "\n",
    "The full list of variables can be obtained via an OPTIONS call to the base endpoint for an object -- in this case, ```.../voyages/```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9e0eaa43",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "numeric_vars = ['voyage_slaves_numbers__imp_total_num_slaves_disembarked',\n",
    "                'voyage_slaves_numbers__imp_total_num_slaves_embarked']\n",
    "\n",
    "geo_vars = ['voyage_itinerary__imp_principal_place_of_slave_purchase__name',\n",
    "           'voyage_itinerary__imp_principal_port_slave_dis__name',\n",
    "           'voyage_itinerary__imp_principal_region_slave_dis__name',\n",
    "           'voyage_itinerary__imp_principal_region_of_slave_purchase__name']\n",
    "\n",
    "date_vars = ['voyage_dates__arrival_at_second_place_landing_sparsedate__year',\n",
    "            'voyage_dates__date_departed_africa_sparsedate__year',\n",
    "            'voyage_dates__first_dis_of_slaves_sparsedate__year',\n",
    "            'voyage_dates__imp_arrival_at_port_of_dis_sparsedate__year',\n",
    "            'voyage_dates__imp_departed_africa_sparsedate__year',\n",
    "            'voyage_dates__imp_voyage_began_sparsedate__year',\n",
    "            'voyage_dates__slave_purchase_began_sparsedate__year',\n",
    "            'voyage_dates__third_dis_of_slaves_sparsedate__year',\n",
    "            'voyage_dates__vessel_left_port_sparsedate__year',\n",
    "            'voyage_dates__voyage_began_sparsedate__year',\n",
    "            'voyage_dates__voyage_completed_sparsedate__year']\n",
    "\n",
    "r = requests.options(base_url + '?hierarchical=False', headers=headers) # to get the specific label names of above vars\n",
    "drop_dict = r.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb8a163e",
   "metadata": {},
   "source": [
    "## Step 3: Let's use our vars as interactive selectors\n",
    "\n",
    "The following three widgets are dropdown menues for the above vars. the below array constructions get the specific\n",
    "labels of the data vars we are trying to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "46a23926",
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_drop = [i for i in geo_vars]\n",
    "\n",
    "geo_emb = widgets.Dropdown(\n",
    "    options=geo_drop,\n",
    "    description=\"Geo Vars\",\n",
    "    layout={'width': 'max-content'},\n",
    "    disabled=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5a5c7ddc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "numeric_drop = [i for i in numeric_vars]\n",
    "\n",
    "numeric_emb = widgets.Dropdown(\n",
    "    options=numeric_drop,\n",
    "    description=\"Numeric Vars\",\n",
    "    layout={'width': 'max-content'},\n",
    "    disabled=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adeec2b2",
   "metadata": {},
   "source": [
    "### Dates are a special case\n",
    "\n",
    "Because of their ordinal status, selectors should be presented as a range, which we can turn into a rangeslider using the special ```aggregations/``` endpoint in the API.\n",
    "\n",
    "But in order to do make that slider and use it as a selector, we'll have to first select one single date variable to use in that way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bc3c7f09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6130078fb5b84e22b4cb4840652f3fef",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Dates variable to select on:', layout=Layout(width='max-content'), options=('voyage_date…"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_drop = [i for i in date_vars]\n",
    "\n",
    "dates_emb = widgets.Dropdown(\n",
    "    options=date_drop,\n",
    "    description=\"Dates variable to select on:\",\n",
    "    style={'description_width': 'initial'},\n",
    "    layout={'width': 'max-content'},\n",
    "    disabled=False,\n",
    ")\n",
    "dates_emb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e8a136a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = base_url + 'aggregations/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7baf664",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"aggregate_fields\" : ['voyage_dates__arrival_at_second_place_landing_sparsedate__year',\n",
    "            'voyage_dates__date_departed_africa_sparsedate__year',\n",
    "            'voyage_dates__first_dis_of_slaves_sparsedate__year',\n",
    "            'voyage_dates__imp_arrival_at_port_of_dis_sparsedate__year',\n",
    "            'voyage_dates__imp_departed_africa_sparsedate__year',\n",
    "            'voyage_dates__imp_voyage_began_sparsedate__year',\n",
    "            'voyage_dates__slave_purchase_began_sparsedate__year',\n",
    "            'voyage_dates__third_dis_of_slaves_sparsedate__year',\n",
    "            'voyage_dates__vessel_left_port_sparsedate__year',\n",
    "            'voyage_dates__voyage_began_sparsedate__year',\n",
    "            'voyage_dates__voyage_completed_sparsedate__year']\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "22c700fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "r = requests.post(url , data = json.dumps(data), headers = headers)\n",
    "date_dict = r.json()\n",
    "# print(json.dumps(date_dict,indent=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7b0d2a15",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_dict = date_dict[date_vars[date_drop.index(dates_emb.value)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "88731e55",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "minyear=int(date_dict['min'])\n",
    "maxyear=int(date_dict['max'])  # gets the max and the min year for the above chosen date_var and constructs a slider\n",
    "\n",
    "yearslider_emb = widgets.IntRangeSlider(\n",
    "    min=minyear,\n",
    "    max=maxyear,\n",
    "    step=1,\n",
    "    description='Date Slider',\n",
    "    disabled=False,\n",
    "    continuous_update=False,\n",
    "    orientation='horizontal',\n",
    "    readout=True,\n",
    "    readout_format='d',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3295c65a",
   "metadata": {},
   "source": [
    "### Ta-da: visual selectors\n",
    "\n",
    "Let's view and use our visual selector widgets.\n",
    "\n",
    "All the subsequent calls to the dataframes endpoint and manipulation of the dataframe will be conditioned by these selections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b725f6ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d6c9c34a6234eba8ec5478d60836163",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Numeric Vars', layout=Layout(width='max-content'), options=('voyage_slaves_numbers__imp_…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e1cd724f09243d2b2182025b5bb589d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Geo Vars', layout=Layout(width='max-content'), options=('voyage_itinerary__imp_principal…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6130078fb5b84e22b4cb4840652f3fef",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Dates variable to select on:', layout=Layout(width='max-content'), options=('voyage_date…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d77aefb0804240cf84456572798b64cf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntRangeSlider(value=(1603, 1768), continuous_update=False, description='Date Slider', max=1851, min=1521)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(numeric_emb)  # displays the dropdown menus \n",
    "display(geo_emb)\n",
    "display(dates_emb)\n",
    "display(yearslider_emb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffd46924",
   "metadata": {},
   "source": [
    "## Construct our dataframes request\n",
    "\n",
    "We're going to be making a map, so we'll need to select the lat/long variables associated with each placename variable. Refer again to the options vars if you'd like, but the basic rule here is that we're subbing out the ```__name``` suffix with ```__latitude``` and ```__longitude```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7fe750dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "voyage_itinerary__imp_principal_place_of_slave_purchase__latitude\n"
     ]
    }
   ],
   "source": [
    "latvar=re.sub(\"__[^_]*?$\",\"__latitude\",geo_vars[geo_drop.index(geo_emb.value)]) # regex for getting the latitude and longitude\n",
    "print(latvar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "082bc148",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "voyage_itinerary__imp_principal_place_of_slave_purchase__longitude\n"
     ]
    }
   ],
   "source": [
    "longvar=re.sub(\"__[^_]*?$\",\"__longitude\",geo_vars[geo_drop.index(geo_emb.value)])\n",
    "print(longvar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3e2efc8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://127.0.0.1:8000/voyage/dataframes/\n"
     ]
    }
   ],
   "source": [
    "url = base_url + 'dataframes/'\n",
    "print(url)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cfc490f",
   "metadata": {},
   "source": [
    "### DF request\n",
    "\n",
    "The DF endpoint requires you to enumerate the columns you'd like returned in the ```selected_fields``` key.\n",
    "\n",
    "It also allows you to filter on any variable by using that fully-qualified variable name as a key and, in the case of numerical variables, a min/max tuple as your value to filter on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "735c4baa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"voyage_dates__arrival_at_second_place_landing_sparsedate__year\": [\n",
      "    1603,\n",
      "    1768\n",
      "  ],\n",
      "  \"selected_fields\": [\n",
      "    \"voyage_dates__arrival_at_second_place_landing_sparsedate__year\",\n",
      "    \"voyage_itinerary__imp_principal_place_of_slave_purchase__latitude\",\n",
      "    \"voyage_itinerary__imp_principal_place_of_slave_purchase__longitude\",\n",
      "    \"voyage_itinerary__imp_principal_place_of_slave_purchase__name\",\n",
      "    \"voyage_slaves_numbers__imp_total_num_slaves_disembarked\"\n",
      "  ]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "data = {\n",
    "    date_vars[date_drop.index(dates_emb.value)] : [yearslider_emb.value[0],yearslider_emb.value[1]],\n",
    "    \"selected_fields\" : [\n",
    "        date_vars[date_drop.index(dates_emb.value)],\n",
    "        latvar,longvar,\n",
    "        geo_vars[geo_drop.index(geo_emb.value)],\n",
    "        numeric_vars[numeric_drop.index(numeric_emb.value)]\n",
    "    ]\n",
    "}\n",
    "print(json.dumps(data,indent=2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "91c974dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "r = requests.post(url , data = json.dumps(data), headers = headers)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28a03878",
   "metadata": {},
   "source": [
    "## DF Manipulation\n",
    "\n",
    "Now we load that columnar data, transform it, and visualize it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd8f75f5",
   "metadata": {},
   "source": [
    "### Load it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ba3572d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>voyage_dates__arrival_at_second_place_landing_sparsedate__year</th>\n",
       "      <th>voyage_itinerary__imp_principal_place_of_slave_purchase__latitude</th>\n",
       "      <th>voyage_itinerary__imp_principal_place_of_slave_purchase__longitude</th>\n",
       "      <th>voyage_itinerary__imp_principal_place_of_slave_purchase__name</th>\n",
       "      <th>voyage_slaves_numbers__imp_total_num_slaves_disembarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1664</td>\n",
       "      <td>4.950000</td>\n",
       "      <td>8.316670</td>\n",
       "      <td>Calabar</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1664</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>Ardra</td>\n",
       "      <td>282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1686</td>\n",
       "      <td>6.366670</td>\n",
       "      <td>2.083330</td>\n",
       "      <td>Bight of Benin, place unspecified</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1709</td>\n",
       "      <td>5.190770</td>\n",
       "      <td>-1.099200</td>\n",
       "      <td>Gold Coast, port unspecified</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1711</td>\n",
       "      <td>5.182510</td>\n",
       "      <td>-1.116620</td>\n",
       "      <td>Cape Coast Castle</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>1619</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>Prize (taken from Portuguese)</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>1725</td>\n",
       "      <td>32.780960</td>\n",
       "      <td>-79.935540</td>\n",
       "      <td>Charleston</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>1768</td>\n",
       "      <td>13.100000</td>\n",
       "      <td>-59.600000</td>\n",
       "      <td>Barbados, place unspecified</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>1664</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>-68.916670</td>\n",
       "      <td>Curaçao</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>1673</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>-68.916670</td>\n",
       "      <td>Curaçao</td>\n",
       "      <td>760</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>391 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     voyage_dates__arrival_at_second_place_landing_sparsedate__year  \\\n",
       "0                                                 1664                \n",
       "1                                                 1664                \n",
       "2                                                 1686                \n",
       "3                                                 1709                \n",
       "4                                                 1711                \n",
       "..                                                 ...                \n",
       "386                                               1619                \n",
       "387                                               1725                \n",
       "388                                               1768                \n",
       "389                                               1664                \n",
       "390                                               1673                \n",
       "\n",
       "     voyage_itinerary__imp_principal_place_of_slave_purchase__latitude  \\\n",
       "0                                             4.950000                   \n",
       "1                                             6.400000                   \n",
       "2                                             6.366670                   \n",
       "3                                             5.190770                   \n",
       "4                                             5.182510                   \n",
       "..                                                 ...                   \n",
       "386                                           0.000123                   \n",
       "387                                          32.780960                   \n",
       "388                                          13.100000                   \n",
       "389                                          12.100000                   \n",
       "390                                          12.100000                   \n",
       "\n",
       "     voyage_itinerary__imp_principal_place_of_slave_purchase__longitude  \\\n",
       "0                                             8.316670                    \n",
       "1                                             2.200000                    \n",
       "2                                             2.083330                    \n",
       "3                                            -1.099200                    \n",
       "4                                            -1.116620                    \n",
       "..                                                 ...                    \n",
       "386                                           0.000123                    \n",
       "387                                         -79.935540                    \n",
       "388                                         -59.600000                    \n",
       "389                                         -68.916670                    \n",
       "390                                         -68.916670                    \n",
       "\n",
       "    voyage_itinerary__imp_principal_place_of_slave_purchase__name  \\\n",
       "0                                              Calabar              \n",
       "1                                                Ardra              \n",
       "2                    Bight of Benin, place unspecified              \n",
       "3                         Gold Coast, port unspecified              \n",
       "4                                    Cape Coast Castle              \n",
       "..                                                 ...              \n",
       "386                      Prize (taken from Portuguese)              \n",
       "387                                         Charleston              \n",
       "388                        Barbados, place unspecified              \n",
       "389                                            Curaçao              \n",
       "390                                            Curaçao              \n",
       "\n",
       "     voyage_slaves_numbers__imp_total_num_slaves_disembarked  \n",
       "0                                                  159        \n",
       "1                                                  282        \n",
       "2                                                  307        \n",
       "3                                                  284        \n",
       "4                                                  161        \n",
       "..                                                 ...        \n",
       "386                                                 29        \n",
       "387                                                 40        \n",
       "388                                                257        \n",
       "389                                                502        \n",
       "390                                                760        \n",
       "\n",
       "[391 rows x 5 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "j = r.text\n",
    "df = pd.read_json(j)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "786d43b4",
   "metadata": {},
   "source": [
    "### Clean & Transform For a Diachronic Map Visualization\n",
    "\n",
    "* purge the NA values\n",
    "* sort by the selected date variable\n",
    "* group by place (using unique lat/longs as proxies for this)\n",
    "* rename our columns for cleanliness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "68af2527",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>voyage_itinerary__imp_principal_place_of_slave_purchase__name</th>\n",
       "      <th>voyage_dates__arrival_at_second_place_landing_sparsedate__year</th>\n",
       "      <th>voyage_slaves_numbers__imp_total_num_slaves_disembarked</th>\n",
       "      <th>normalized_sizes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-8.83833</td>\n",
       "      <td>13.23444</td>\n",
       "      <td>Luanda</td>\n",
       "      <td>1605</td>\n",
       "      <td>581</td>\n",
       "      <td>6.364751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-8.83833</td>\n",
       "      <td>13.23444</td>\n",
       "      <td>West Central Africa and St. Helena, port unspe...</td>\n",
       "      <td>1605</td>\n",
       "      <td>314</td>\n",
       "      <td>5.749393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-8.83833</td>\n",
       "      <td>13.23444</td>\n",
       "      <td>Luanda</td>\n",
       "      <td>1608</td>\n",
       "      <td>533</td>\n",
       "      <td>6.278521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>0.33333</td>\n",
       "      <td>6.73333</td>\n",
       "      <td>São Tomé</td>\n",
       "      <td>1608</td>\n",
       "      <td>331</td>\n",
       "      <td>5.802118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-8.83833</td>\n",
       "      <td>13.23444</td>\n",
       "      <td>Luanda</td>\n",
       "      <td>1609</td>\n",
       "      <td>331</td>\n",
       "      <td>5.802118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>-8.83833</td>\n",
       "      <td>13.23444</td>\n",
       "      <td>West Central Africa and St. Helena, port unspe...</td>\n",
       "      <td>1768</td>\n",
       "      <td>179</td>\n",
       "      <td>5.187386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>13.10000</td>\n",
       "      <td>-59.60000</td>\n",
       "      <td>Barbados, place unspecified</td>\n",
       "      <td>1768</td>\n",
       "      <td>257</td>\n",
       "      <td>5.549076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>-5.55000</td>\n",
       "      <td>12.20000</td>\n",
       "      <td>Cabinda</td>\n",
       "      <td>1768</td>\n",
       "      <td>374</td>\n",
       "      <td>5.924256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>-5.33333</td>\n",
       "      <td>12.18333</td>\n",
       "      <td>Malembo</td>\n",
       "      <td>1768</td>\n",
       "      <td>301</td>\n",
       "      <td>5.707110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>4.43333</td>\n",
       "      <td>7.16667</td>\n",
       "      <td>Bonny</td>\n",
       "      <td>1768</td>\n",
       "      <td>190</td>\n",
       "      <td>5.247024</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>300 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Latitude  Longitude  \\\n",
       "3    -8.83833   13.23444   \n",
       "25   -8.83833   13.23444   \n",
       "4    -8.83833   13.23444   \n",
       "113   0.33333    6.73333   \n",
       "5    -8.83833   13.23444   \n",
       "..        ...        ...   \n",
       "44   -8.83833   13.23444   \n",
       "243  13.10000  -59.60000   \n",
       "55   -5.55000   12.20000   \n",
       "60   -5.33333   12.18333   \n",
       "130   4.43333    7.16667   \n",
       "\n",
       "    voyage_itinerary__imp_principal_place_of_slave_purchase__name  \\\n",
       "3                                               Luanda              \n",
       "25   West Central Africa and St. Helena, port unspe...              \n",
       "4                                               Luanda              \n",
       "113                                           São Tomé              \n",
       "5                                               Luanda              \n",
       "..                                                 ...              \n",
       "44   West Central Africa and St. Helena, port unspe...              \n",
       "243                        Barbados, place unspecified              \n",
       "55                                             Cabinda              \n",
       "60                                             Malembo              \n",
       "130                                              Bonny              \n",
       "\n",
       "     voyage_dates__arrival_at_second_place_landing_sparsedate__year  \\\n",
       "3                                                 1605                \n",
       "25                                                1605                \n",
       "4                                                 1608                \n",
       "113                                               1608                \n",
       "5                                                 1609                \n",
       "..                                                 ...                \n",
       "44                                                1768                \n",
       "243                                               1768                \n",
       "55                                                1768                \n",
       "60                                                1768                \n",
       "130                                               1768                \n",
       "\n",
       "     voyage_slaves_numbers__imp_total_num_slaves_disembarked  normalized_sizes  \n",
       "3                                                  581                6.364751  \n",
       "25                                                 314                5.749393  \n",
       "4                                                  533                6.278521  \n",
       "113                                                331                5.802118  \n",
       "5                                                  331                5.802118  \n",
       "..                                                 ...                     ...  \n",
       "44                                                 179                5.187386  \n",
       "243                                                257                5.549076  \n",
       "55                                                 374                5.924256  \n",
       "60                                                 301                5.707110  \n",
       "130                                                190                5.247024  \n",
       "\n",
       "[300 rows x 6 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.dropna()\n",
    "df = df.sort_values(by=[date_vars[date_drop.index(dates_emb.value)]])\n",
    "\n",
    "df2 = df.groupby([latvar, # combines data for duplicate geo and date vars. \n",
    "                  longvar,\n",
    "                  geo_vars[geo_drop.index(geo_emb.value)], \n",
    "                  date_vars[date_drop.index(dates_emb.value)]], as_index=False).sum()\n",
    "\n",
    "df2 = df2.rename({latvar: 'Latitude',  # rename the var names to the label names to be more descriptive\n",
    "                  longvar: 'Longitude', \n",
    "                  geo_vars[geo_drop.index(geo_emb.value)]: geo_emb.value,\n",
    "                  numeric_vars[numeric_drop.index(numeric_emb.value)] : numeric_emb.value,\n",
    "                  date_vars[date_drop.index(dates_emb.value)]: dates_emb.value, \n",
    "                 }, axis=1)\n",
    "\n",
    "df2 = df2.assign(normalized_sizes = np.log(df2[numeric_emb.value])) # normalize sizes to accommodate various data points\n",
    "\n",
    "df2 = df2.sort_values(by=dates_emb.value) \n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cd7042b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_geo(df2, lon = 'Longitude', # constructs the bubble map \n",
    "                     lat = 'Latitude',\n",
    "                     title = '%s - by - %s' %(numeric_emb.value,geo_emb.value),\n",
    "                     hover_name = geo_emb.value,\n",
    "                     animation_frame = dates_emb.value,\n",
    "                     size = 'normalized_sizes',\n",
    "                     hover_data = [numeric_emb.value])\n",
    "#for github:\n",
    "fig.show(\"png\")\n",
    "#otherwise use\n",
    "#fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "529d72c5",
   "metadata": {},
   "source": [
    "### The same data works for a grouped bar graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d304aaa8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = px.bar(df2, x=dates_emb.value, # constructs the stacked bar graph\n",
    "             y=numeric_emb.value, color=geo_emb.value\n",
    "             )\n",
    "fig.update_xaxes(dtick=int((maxyear-minyear)/10)) # updates the interval between each tick on the x-axis.\n",
    "#for github\n",
    "fig.show(\"png\")\n",
    "#otherwise use\n",
    "#fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4edec7d3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}