{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Module 6\n",
    "\n",
    "## Video 29: Working with Aggregated Cargo Movements Data\n",
    "**Python for the Energy Industry**\n",
    "\n",
    "In this lesson, we will be working with the data from the previous lesson. We will practice visualising this data. \n",
    "\n",
    "[Cargo Movements documentation](https://vortechsa.github.io/python-sdk/endpoints/cargo_movements/)\n",
    "\n",
    "To start we follow the steps to get our Cargo Movements DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/js/1d4sm_gs33n2lr86b3p7pyvm0000gn/T/ipykernel_41070/3411896914.py:2: DeprecationWarning: \n",
      "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
      "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
      "but was not found to be installed on your system.\n",
      "If this would cause problems for you,\n",
      "please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466\n",
      "        \n",
      "  import pandas as pd\n"
     ]
    }
   ],
   "source": [
    "# initial imports\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "from dateutil.relativedelta import relativedelta\n",
    "import vortexasdk as v\n",
    "\n",
    "# datetimes to access last 7 weeks of data\n",
    "now = datetime.utcnow()\n",
    "seven_weeks_ago = now - relativedelta(weeks=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find US ID\n",
    "us = [g.id for g in v.Geographies().search('united states').to_list() if 'country' in g.layer]\n",
    "assert len(us) == 1\n",
    "\n",
    "# Find crude ID\n",
    "crude = [p.id for p in v.Products().search('crude').to_list() if p.name=='Crude']\n",
    "assert len(crude) == 1\n",
    "\n",
    "# Columns to pull out, and shortened names\n",
    "required_columns = [\"vessels.0.name\",\"vessels.0.vessel_class\",\"product.group.label\",\"product.category.label\",\"quantity\",\n",
    "    \"status\",\"events.cargo_port_load_event.0.location.port.label\",\"events.cargo_port_load_event.0.end_timestamp\",\n",
    "    \"events.cargo_port_unload_event.0.location.port.label\",\"events.cargo_port_unload_event.0.location.country.label\",\n",
    "    \"events.cargo_port_unload_event.0.end_timestamp\"]\n",
    "\n",
    "new_labels = [\"vessel_name\",\"vessel_class\",\"product_group\",\"product_category\",\"quantity\",\"status\",\n",
    "    \"loading_port\",\"loading_finish\",\"unloading_port\",\"unloading_country\",\"unloading_finish\"]\n",
    "\n",
    "relabel = dict(zip(required_columns,new_labels))\n",
    "\n",
    "cms = v.CargoMovements().search(\n",
    "        filter_activity = 'loading_end',\n",
    "        filter_origins = us,\n",
    "        exclude_destinations = us,\n",
    "        filter_products = crude,\n",
    "        filter_time_min = seven_weeks_ago,\n",
    "        filter_time_max = now,\n",
    "        cm_unit = 'b'\n",
    "    ).to_df(columns=required_columns).rename(relabel,axis=1)\n",
    "\n",
    "cms['loading_week'] = cms['loading_finish'].dt.isocalendar().week"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start by making a bar chart of weekly exports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'US exports (bbl)')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekly_quantity = cms.groupby('loading_week').sum(numeric_only=True)\n",
    "\n",
    "ax = weekly_quantity.plot.bar(y='quantity',legend=False,figsize=(8,6))\n",
    "ax.set_xlabel('Week')\n",
    "ax.set_ylabel('US exports (bbl)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By assigning the plot to the variable `ax` we can make some further tweaks, like setting the x and y axis labels.\n",
    "\n",
    "What if we wanted to represent the breakdown by product category? These can be plotted with bars side-by-side:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'US exports (bbl)')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "quantity_by_category = cms.groupby(by = ['loading_week','product_category']).sum(numeric_only=True).reset_index()\n",
    "quantity_by_category = quantity_by_category.pivot(index = 'loading_week',columns = 'product_category',values = 'quantity')\n",
    "quantity_by_category = quantity_by_category.fillna(0)\n",
    "\n",
    "ax = quantity_by_category.plot.bar(figsize=(8,6))\n",
    "ax.set_xlabel('Week')\n",
    "ax.set_ylabel('US exports (bbl)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As there are many products with zero exports, this leaves a lot of holes in the plot. A better way to represent this is 'stacked':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'US exports (bbl)')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = quantity_by_category.plot.bar(stacked=True,figsize=(8,6))\n",
    "ax.set_xlabel('Week')\n",
    "ax.set_ylabel('US exports (bbl)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What about visualising the share of exports to destination countries? A pie chart would be suitable for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='%'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "quantity_by_destination = cms.groupby('unloading_country').sum(numeric_only=True)[['quantity']]\n",
    "quantity_by_destination.sort_values(by='quantity',ascending = False, inplace=True)\n",
    "\n",
    "top_destination_countries = quantity_by_destination.head(10)\n",
    "rest = pd.DataFrame(index = ['Other'], columns = ['quantity'])\n",
    "rest.loc['Other'] = quantity_by_destination[10:].sum().values\n",
    "top_destination_countries = pd.concat([top_destination_countries, rest]).astype(int)\n",
    "top_destination_countries['%'] = round(top_destination_countries['quantity']*100 / top_destination_countries['quantity'].sum(),2)\n",
    "\n",
    "top_destination_countries.plot.pie(y='%',figsize=(6,6),legend=False,autopct='%.0f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another type of plot we can make is the histogram, which shows the distribution of values in a column. Here's the distribution of quantity:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cms.plot.hist(y='quantity',bins=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do we think this distribution is different for different products? We can test by pivoting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unique_product_categories = list(set(cms['product_category']))\n",
    "cms_product = cms.pivot(columns = 'product_category',values = 'quantity')[unique_product_categories]\n",
    "cms_product.plot.hist(bins=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise\n",
    "\n",
    "Instead of US crude exports, pick a different dataset to examine. Say, Saudi Arabian exports, or Chinese imports. Follow the steps of the last 2 lessons to aggregate and visualise different aspects of this data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "d0a480ee27f8d5367d468be4cf8e618aff62fff37975ed624adc4f23b43958cc"
  },
  "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": 4
}