{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------\n",
    "\n",
    "**If any part of this notebook is used in your research, please cite with the reference found in** **[README.md](https://github.com/pysal/spaghetti#bibtex-citation).**\n",
    "\n",
    "----------------\n",
    "\n",
    "## The Transportation Problem\n",
    "### Integrating `pysal/spaghetti` and [python-mip](https://github.com/coin-or/python-mip) for optimal shipping\n",
    "\n",
    "**Author: James D. Gaboardi** **<jgaboardi@gmail.com>**\n",
    "\n",
    "**This notebook provides a use case for:**\n",
    "\n",
    "1. Introducing the Transportation Problem\n",
    "2. Declaration of a solution class and model parameters\n",
    "3. Solving the Transportation Problem for an optimal shipment plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:37.167214Z",
     "start_time": "2021-06-25T22:26:37.158623Z"
    }
   },
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = \"retina\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:37.207091Z",
     "start_time": "2021-06-25T22:26:37.169570Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: 2021-06-25T18:26:37.188665-04:00\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.9.4\n",
      "IPython version      : 7.24.1\n",
      "\n",
      "Compiler    : Clang 11.1.0 \n",
      "OS          : Darwin\n",
      "Release     : 20.5.0\n",
      "Machine     : x86_64\n",
      "Processor   : i386\n",
      "CPU cores   : 8\n",
      "Architecture: 64bit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.783301Z",
     "start_time": "2021-06-25T22:26:37.209413Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Watermark: 2.2.0\n",
      "\n",
      "mip                : 1.13.0\n",
      "matplotlib         : 3.4.2\n",
      "matplotlib_scalebar: 0.7.2\n",
      "spaghetti          : 1.6.1\n",
      "numpy              : 1.20.3\n",
      "libpysal           : 4.4.0\n",
      "geopandas          : 0.9.0\n",
      "json               : 2.0.9\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import geopandas\n",
    "from libpysal import examples\n",
    "import matplotlib\n",
    "import mip\n",
    "import numpy\n",
    "import os\n",
    "import spaghetti\n",
    "import matplotlib_scalebar\n",
    "from matplotlib_scalebar.scalebar import ScaleBar\n",
    "\n",
    "%matplotlib inline\n",
    "%watermark -w\n",
    "%watermark -iv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------------------\n",
    "\n",
    "### 1 Introduction\n",
    "#### Scenario\n",
    "\n",
    "There are **8** schools in Neighborhood Y of City X and a total of **100** microscopes for the biology classes at the **8** schools, though the microscopes are not evenly distributed across the locations. Since last academic year there has been a significant enrollment shift in the neighborhood, and at **4** of the schools there is a surplus whereas the remaining **4** schools require additional microscopes. Dr. Rachel Carson, the head of the biology department at City X's School Board decides to utilize a mathematical programming model to solve the microscope discrepency. After consideration, she selects the Transportation Problem.\n",
    "\n",
    "\n",
    "The Transportation Problem seeks to allocate supply to demand while minimizing transportation costs and was formally described by Hitchcock (1941). Supply ($\\textit{n}$) and demand ($\\textit{m}$) are generally represented as unit weights of decision variables at facilities along a network with the time or distance between nodes representing the cost of transporting one unit from a supply node to a demand node. These costs are stored in an $\\textit{n x m}$ cost matrix.\n",
    "\n",
    "--------------------------------\n",
    "\n",
    "#### Integer Linear Programming Formulation based on Daskin (2013, Ch. 2).\n",
    "\n",
    "$\\begin{array}\n",
    "\\displaystyle \\normalsize \\textrm{Minimize} & \\displaystyle \\normalsize \\sum_{i \\in I} \\sum_{j \\in J} c_{ij}x_{ij}  & & & &  \\normalsize (1) \\\\\n",
    "\\normalsize \\textrm{Subject To} & \\displaystyle \\normalsize \\sum_{j \\in J} x_{ij} \\leq S_i & \\normalsize \\forall i \\in I; &  & &\\normalsize (2)\\\\\n",
    " & \\displaystyle \\normalsize \\sum_{i \\in I} x_{ij} \\geq D_j & \\normalsize \\forall j \\in J; &  & &\\normalsize (3)\\\\\n",
    "& \\displaystyle \\normalsize x_{ij} \\geq 0 & \\displaystyle \\normalsize \\forall i \\in I & \\displaystyle \\normalsize \\normalsize \\forall j \\in j. & &\\normalsize (4)\\\\\n",
    "\\end{array}$\n",
    "\n",
    "$\\begin{array}\n",
    "\\displaystyle \\normalsize \\textrm{Where} & \\small i & \\small = & \\small \\textrm{each potential origin node} &&&&\\\\\n",
    "& \\small I & \\small = & \\small \\textrm{the complete set of potential origin nodes} &&&&\\\\\n",
    "& \\small j & \\small = & \\small \\textrm{each potential destination node} &&&&\\\\\n",
    "& \\small J & \\small = & \\small \\textrm{the complete set of potential destination nodes} &&&&\\\\\n",
    "& \\small x_{ij} & \\small = & \\small \\textrm{amount to be shipped from } i \\in I \\textrm{ to } j \\in J  &&&&\\\\\n",
    "& \\small c_{ij} & \\small = & \\small \\textrm{per unit shipping costs between all } i,j \\textrm{ pairs} &&&& \\\\\n",
    "& \\small S_i & \\small = & \\small \\textrm{node } i \\textrm{ supply for } i \\in I &&&&\\\\\n",
    "& \\small D_j & \\small = & \\small \\textrm{node } j \\textrm{ demand for } j \\in J &&&&\\\\\n",
    "\\end{array}$\n",
    "\n",
    "\n",
    "---------------------------------\n",
    "\n",
    "**References**\n",
    "\n",
    "* **Church, Richard L. and Murray, Alan T.** (2009) *Business Site Selection, Locational Analysis, and GIS*. Hoboken. John Wiley & Sons, Inc.\n",
    "\n",
    "* **Daskin, M.** (2013) *Network and Discrete Location: Models, Algorithms, and Applications*. New York: John Wiley & Sons, Inc.\n",
    "\n",
    "* **Gass, S. I. and Assad, A. A.** (2005) *An Annotated Timeline of Operations Research: An Informal History*. Springer US.\n",
    "\n",
    "* **Hitchcock, Frank L.** (1941) *The Distribution of a Product from Several Sources to Numerous Localities*. Journal of Mathematics and Physics. 20(1):224-230.\n",
    "\n",
    "* **Koopmans, Tjalling C.** (1949) *Optimum Utilization of the Transportation System*. Econometrica. 17:136-146.\n",
    "\n",
    "* **Miller, H. J. and Shaw, S.-L.** (2001) *Geographic Information Systems for Transportation: Principles and Applications*. New York. Oxford University Press.\n",
    "\n",
    "\n",
    "* **Phillips, Don T. and Garcia‐Diaz, Alberto.** (1981) *Fundamentals of Network Analysis*. Englewood Cliffs. Prentice Hall. \n",
    "\n",
    "-------------------------------------\n",
    "\n",
    "### 2. A model, data, and parameters\n",
    "#### Schools labeled as either 'supply' or 'demand' locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.787569Z",
     "start_time": "2021-06-25T22:26:38.784831Z"
    }
   },
   "outputs": [],
   "source": [
    "supply_schools = [1, 6, 7, 8]\n",
    "demand_schools = [2, 3, 4, 5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Amount of supply and demand at each location (indexed by ``supply_schools`` and ``demand_schools``)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.792777Z",
     "start_time": "2021-06-25T22:26:38.790766Z"
    }
   },
   "outputs": [],
   "source": [
    "amount_supply = [20, 30, 15, 35]\n",
    "amount_demand = [5, 45, 10, 40]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Solution class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.861071Z",
     "start_time": "2021-06-25T22:26:38.795012Z"
    }
   },
   "outputs": [],
   "source": [
    "class TransportationProblem:\n",
    "    def __init__(\n",
    "        self,\n",
    "        supply_nodes,\n",
    "        demand_nodes,\n",
    "        cij,\n",
    "        si,\n",
    "        dj,\n",
    "        xij_tag=\"x_%s,%s\",\n",
    "        supply_constr_tag=\"supply(%s)\",\n",
    "        demand_constr_tag=\"demand(%s)\",\n",
    "        solver=\"cbc\",\n",
    "        display=True,\n",
    "    ):\n",
    "        \"\"\"Instantiate and solve the Primal Transportation Problem\n",
    "        based the formulation from Daskin (2013, Ch. 2).\n",
    "        \n",
    "        Parameters\n",
    "        ----------\n",
    "        supply_nodes : geopandas.GeoSeries\n",
    "            Supply node decision variables.\n",
    "        demand_nodes : geopandas.GeoSeries\n",
    "            Demand node decision variables.\n",
    "        cij : numpy.array\n",
    "            Supply-to-demand distance matrix for nodes.\n",
    "        si : geopandas.GeoSeries\n",
    "            Amount that can be supplied by each supply node.\n",
    "        dj : geopandas.GeoSeries\n",
    "            Amount that can be received by each demand node.\n",
    "        xij_tag : str\n",
    "            Shipping decision variable names within the model. Default is\n",
    "            'x_%s,%s' where %s indicates string formatting.\n",
    "        supply_constr_tag : str\n",
    "            Supply constraint labels. Default is 'supply(%s)'.\n",
    "        demand_constr_tag : str\n",
    "            Demand constraint labels. Default is 'demand(%s)'.\n",
    "        solver : str\n",
    "            Default is 'cbc' (coin-branch-cut). Can be set\n",
    "            to 'gurobi' (if Gurobi is installed).\n",
    "        display : bool\n",
    "            Print out solution results.\n",
    "        \n",
    "        Attributes\n",
    "        ----------\n",
    "        supply_nodes : See description in above.  \n",
    "        demand_nodes : See description in above.\n",
    "        cij : See description in above.\n",
    "        si : See description in above.\n",
    "        dj : See description in above.\n",
    "        xij_tag : See description in above.\n",
    "        supply_constr_tag : See description in above.\n",
    "        demand_constr_tag : See description in above.\n",
    "        rows : int\n",
    "            The number of supply nodes.\n",
    "        rrows : range\n",
    "            The index of supply nodes.\n",
    "        cols : int\n",
    "            The number of demand nodes.\n",
    "        rcols : range\n",
    "            The index of demand nodes.\n",
    "        model : mip.model.Model\n",
    "            Integer Linear Programming problem instance.\n",
    "        xij : numpy.array\n",
    "            Shipping decision variables (``mip.entities.Var``).\n",
    "        \"\"\"\n",
    "\n",
    "        # all nodes to be visited\n",
    "        self.supply_nodes, self.demand_nodes = supply_nodes, demand_nodes\n",
    "        # shipping costs (distance matrix) and amounts\n",
    "        self.cij, self.si, self.dj = cij, si.values, dj.values\n",
    "        self.ensure_float()\n",
    "        # alpha tag for decision variables\n",
    "        self.xij_tag = xij_tag\n",
    "        # alpha tag for supply and demand constraints\n",
    "        self.supply_constr_tag = supply_constr_tag\n",
    "        self.demand_constr_tag = demand_constr_tag\n",
    "        \n",
    "        # instantiate a model\n",
    "        self.model = mip.Model(\" TransportationProblem\", solver_name=solver)\n",
    "        # define row and column indices\n",
    "        self.rows, self.cols = self.si.shape[0], self.dj.shape[0]\n",
    "        self.rrows, self.rcols = range(self.rows), range(self.cols)\n",
    "        # create and set the decision variables\n",
    "        self.shipping_dvs()\n",
    "        # set the objective function\n",
    "        self.objective_func()\n",
    "        # add supply constraints\n",
    "        self.add_supply_constrs()\n",
    "        # add demand constraints\n",
    "        self.add_demand_constrs()\n",
    "        # solve\n",
    "        self.solve(display=display)\n",
    "        # shipping decisions lookup\n",
    "        self.get_decisions(display=display)\n",
    "\n",
    "    def ensure_float(self):\n",
    "        \"\"\"Convert integers to floats (rough edge in mip.LinExpr)\"\"\"\n",
    "        self.cij = self.cij.astype(float)\n",
    "        self.si = self.si.astype(float)\n",
    "        self.dj = self.dj.astype(float)\n",
    "\n",
    "    def shipping_dvs(self):\n",
    "        \"\"\"Create the shipping decision variables - eq (4).\"\"\"\n",
    "\n",
    "        def _s(_x):\n",
    "            \"\"\"Helper for naming variables\"\"\"\n",
    "            return self.supply_nodes[_x].split(\"_\")[-1]\n",
    "\n",
    "        def _d(_x):\n",
    "            \"\"\"Helper for naming variables\"\"\"\n",
    "            return self.demand_nodes[_x].split(\"_\")[-1]\n",
    "\n",
    "        xij = numpy.array(\n",
    "            [\n",
    "                [self.model.add_var(self.xij_tag % (_s(i), _d(j))) for j in self.rcols]\n",
    "                for i in self.rrows\n",
    "            ]\n",
    "        )\n",
    "        self.xij = xij\n",
    "\n",
    "    def objective_func(self):\n",
    "        \"\"\"Add the objective function - eq (1).\"\"\"\n",
    "        self.model.objective = mip.minimize(\n",
    "            mip.xsum(\n",
    "                self.cij[i, j] * self.xij[i, j] for i in self.rrows for j in self.rcols\n",
    "            )\n",
    "        )\n",
    "\n",
    "    def add_supply_constrs(self):\n",
    "        \"\"\"Add supply contraints to the model - eq (2).\"\"\"\n",
    "        for i in self.rrows:\n",
    "            rhs, label = self.si[i], self.supply_constr_tag % i\n",
    "            self.model += mip.xsum(self.xij[i, j] for j in self.rcols) <= rhs, label\n",
    "\n",
    "    def add_demand_constrs(self):\n",
    "        \"\"\"Add demand contraints to the model - eq (3).\"\"\"\n",
    "        for j in self.rcols:\n",
    "            rhs, label = self.dj[j], self.demand_constr_tag % j\n",
    "            self.model += mip.xsum(self.xij[i, j] for i in self.rrows) >= rhs, label\n",
    "\n",
    "    def solve(self, display=True):\n",
    "        \"\"\"Solve the model\"\"\"\n",
    "        self.model.optimize()\n",
    "        if display:\n",
    "            obj = round(self.model.objective_value, 4)\n",
    "            print(\"Minimized shipping costs: %s\" % obj)\n",
    "\n",
    "    def get_decisions(self, display=True):\n",
    "        \"\"\"Fetch the selected decision variables.\"\"\"\n",
    "        shipping_decisions = {}\n",
    "        if display:\n",
    "            print(\"\\nShipping decisions:\")\n",
    "        for i in self.rrows:\n",
    "            for j in self.rcols:\n",
    "                v, vx = self.xij[i, j], self.xij[i, j].x\n",
    "                if vx > 0:\n",
    "                    if display:\n",
    "                        print(\"\\t\", v, vx)\n",
    "                    shipping_decisions[v.name] = vx\n",
    "        self.shipping_decisions = shipping_decisions\n",
    "\n",
    "    def print_lp(self, name=None):\n",
    "        \"\"\"Save LP file in order to read in and print.\"\"\"\n",
    "        if not name:\n",
    "            name = self.model.name\n",
    "        lp_file_name = \"%s.lp\" % name\n",
    "        self.model.write(lp_file_name)\n",
    "        lp_file = open(lp_file_name, \"r\")\n",
    "        lp = lp_file.read()\n",
    "        print(\"\\n\", lp)\n",
    "        lp_file.close()\n",
    "        os.remove(lp_file_name)\n",
    "\n",
    "    def extract_shipments(self, paths, id_col, ship=\"ship\"):\n",
    "        \"\"\"Extract the supply to demand shipments as a \n",
    "        ``geopandas.GeoDataFrame`` of ``shapely.geometry.LineString`` objects.\n",
    "        \n",
    "        Parameters\n",
    "        ----------\n",
    "        paths : geopandas.GeoDataFrame\n",
    "            Shortest-path routes between all ``self.supply_nodes``\n",
    "            and ``self.demand_nodes``.\n",
    "        id_col : str\n",
    "            ID column name.\n",
    "        ship : str\n",
    "            Column name for the amount of good shipped.\n",
    "            Default is 'ship'.\n",
    "        \n",
    "        Returns\n",
    "        -------\n",
    "        shipments : geopandas.GeoDataFrame\n",
    "            Optimal shipments from ``self.supply_nodes`` to\n",
    "            ``self.demand_nodes``.\n",
    "        \"\"\"\n",
    "\n",
    "        def _id(sp):\n",
    "            \"\"\"ID label helper\"\"\"\n",
    "            return tuple([int(i) for i in sp.split(\"_\")[-1].split(\",\")])\n",
    "\n",
    "        paths[ship] = int\n",
    "        # set label of the shipping path for each OD pair.\n",
    "        for ship_path, shipment in self.shipping_decisions.items():\n",
    "            paths.loc[(paths[id_col] == _id(ship_path)), ship] = shipment\n",
    "        # extract only shiiping paths\n",
    "        shipments = paths[paths[ship] != int].copy()\n",
    "        shipments[ship] = shipments[ship].astype(int)\n",
    "\n",
    "        return shipments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting helper functions and constants\n",
    "**Note: originating shipments**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.865579Z",
     "start_time": "2021-06-25T22:26:38.863205Z"
    }
   },
   "outputs": [],
   "source": [
    "shipping_colors = [\"maroon\", \"cyan\", \"magenta\", \"orange\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.872597Z",
     "start_time": "2021-06-25T22:26:38.868379Z"
    }
   },
   "outputs": [],
   "source": [
    "def obs_labels(o, b, s, col=\"id\", **kwargs):\n",
    "    \"\"\"Label each point pattern observation.\"\"\"\n",
    "\n",
    "    def _lab_loc(_x):\n",
    "        \"\"\"Helper for labeling observations.\"\"\"\n",
    "        return _x.geometry.coords[0]\n",
    "\n",
    "    if o.index.name != \"schools\":\n",
    "        X = o.index.name[0]\n",
    "    else:\n",
    "        X = \"\"\n",
    "    kws = {\"size\": s, \"ha\": \"left\", \"va\": \"bottom\", \"style\": \"oblique\"}\n",
    "    kws.update(kwargs)\n",
    "    o.apply(lambda x: b.annotate(text=X+str(x[col]), xy=_lab_loc(x), **kws), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.880382Z",
     "start_time": "2021-06-25T22:26:38.874261Z"
    }
   },
   "outputs": [],
   "source": [
    "def make_patches(objects):\n",
    "    \"\"\"Create patches for legend\"\"\"\n",
    "    patches = []\n",
    "    for _object in objects:\n",
    "        try:\n",
    "            oname = _object.index.name\n",
    "        except AttributeError:\n",
    "            oname = \"shipping\"\n",
    "        if oname.split(\" \")[0] in [\"schools\", \"supply\", \"demand\"]:\n",
    "            ovalue = _object.shape[0]\n",
    "            if oname == \"schools\":\n",
    "                ms, m, c, a = 3, \"o\", \"k\", 1\n",
    "            elif oname.startswith(\"supply\"):\n",
    "                ms, m, c, a = 10, \"o\", \"b\", 0.25\n",
    "            elif oname.startswith(\"demand\"):\n",
    "                ms, m, c, a = 10, \"o\", \"g\", 0.25\n",
    "            if oname.endswith(\"snapped\"):\n",
    "                ms, m, a = float(ms) / 2.0, \"x\", 1\n",
    "            _kws = {\"lw\": 0, \"c\": c, \"marker\": m, \"ms\": ms, \"alpha\": a}\n",
    "            label = \"%s — %s\" % (oname.capitalize(), int(ovalue))\n",
    "            p = matplotlib.lines.Line2D([], [], label=label, **_kws)\n",
    "            patches.append(p)\n",
    "        else:\n",
    "            patch_info = plot_shipments(_object, \"\", for_legend=True)\n",
    "            for c, lw, lwsc, (i, j) in patch_info:\n",
    "                label = \"s%s$\\\\rightarrow$d%s — %s microscopes\" % (i, j, lw)\n",
    "                _kws = {\"alpha\": 0.75, \"c\": c, \"lw\": lwsc, \"label\": label}\n",
    "                p = matplotlib.lines.Line2D([], [], solid_capstyle=\"round\", **_kws)\n",
    "                patches.append(p)\n",
    "    return patches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.886955Z",
     "start_time": "2021-06-25T22:26:38.883347Z"
    }
   },
   "outputs": [],
   "source": [
    "def legend(objects, anchor=(1.005, 1.016)):\n",
    "    \"\"\"Add a legend to a plot\"\"\"\n",
    "    patches = make_patches(objects)\n",
    "    kws = {\"fancybox\": True, \"framealpha\": 0.85, \"fontsize\": \"x-large\"}\n",
    "    kws.update({\"bbox_to_anchor\":anchor, \"labelspacing\":2., \"borderpad\":2.})\n",
    "    legend = matplotlib.pyplot.legend(handles=patches, **kws)\n",
    "    legend.get_frame().set_facecolor(\"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:38.892489Z",
     "start_time": "2021-06-25T22:26:38.888931Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_shipments(sd, b, scaled=0.75, for_legend=False):\n",
    "    \"\"\"Helper for plotting shipments based on OD and magnitude\"\"\"\n",
    "    _patches = []\n",
    "    _plot_kws = {\"alpha\":0.75, \"zorder\":0, \"capstyle\":\"round\"}\n",
    "    for c, (g, gdf) in zip(shipping_colors, sd):\n",
    "        lw, lw_scaled, ids = gdf[\"ship\"], gdf[\"ship\"] * scaled, gdf[\"id\"]\n",
    "        if for_legend:\n",
    "            for _lw, _lwsc, _id in zip(lw, lw_scaled, ids):\n",
    "                _patches.append([c, _lw, _lwsc, _id])\n",
    "        else:\n",
    "            gdf.plot(ax=b, color=c, lw=lw_scaled, **_plot_kws)\n",
    "    if for_legend:\n",
    "        return _patches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------------------------------------------------------\n",
    "#### Streets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:39.265201Z",
     "start_time": "2021-06-25T22:26:38.893972Z"
    }
   },
   "outputs": [],
   "source": [
    "streets = geopandas.read_file(examples.get_path(\"streets.shp\"))\n",
    "streets.crs = \"esri:102649\"\n",
    "streets = streets.to_crs(\"epsg:2762\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Schools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:39.601224Z",
     "start_time": "2021-06-25T22:26:39.269337Z"
    }
   },
   "outputs": [],
   "source": [
    "schools = geopandas.read_file(examples.get_path(\"schools.shp\"))\n",
    "schools.index.name = \"schools\"\n",
    "schools.crs = \"esri:102649\"\n",
    "schools = schools.to_crs(\"epsg:2762\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Schools - supply nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:39.629041Z",
     "start_time": "2021-06-25T22:26:39.604510Z"
    }
   },
   "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>POLYID</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supply</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (221615.157 268183.063)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>POINT (221542.706 268185.028)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>POINT (221847.882 267983.231)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>POINT (221406.839 267990.801)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        POLYID                       geometry\n",
       "supply                                       \n",
       "0            1  POINT (221615.157 268183.063)\n",
       "5            6  POINT (221542.706 268185.028)\n",
       "6            7  POINT (221847.882 267983.231)\n",
       "7            8  POINT (221406.839 267990.801)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schools_supply = schools[schools[\"POLYID\"].isin(supply_schools)]\n",
    "schools_supply.index.name = \"supply\"\n",
    "schools_supply"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Schools - demand nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:39.653464Z",
     "start_time": "2021-06-25T22:26:39.631654Z"
    }
   },
   "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>POLYID</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>demand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (221122.271 268131.466)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (221474.669 267188.462)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>POINT (220453.142 268087.516)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>POINT (221235.835 267685.028)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        POLYID                       geometry\n",
       "demand                                       \n",
       "1            2  POINT (221122.271 268131.466)\n",
       "2            3  POINT (221474.669 267188.462)\n",
       "3            4  POINT (220453.142 268087.516)\n",
       "4            5  POINT (221235.835 267685.028)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schools_demand = schools[schools[\"POLYID\"].isin(demand_schools)]\n",
    "schools_demand.index.name = \"demand\"\n",
    "schools_demand"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-21T04:39:16.711389Z",
     "start_time": "2020-01-21T04:39:16.702359Z"
    }
   },
   "source": [
    "#### Instantiate a network object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:39.956197Z",
     "start_time": "2021-06-25T22:26:39.656117Z"
    }
   },
   "outputs": [],
   "source": [
    "ntw = spaghetti.Network(in_data=streets)\n",
    "vertices, arcs = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:40.437003Z",
     "start_time": "2021-06-25T22:26:39.957768Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 575,
       "width": 807
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot network\n",
    "base = arcs.plot(linewidth=3, alpha=0.25, color=\"k\", zorder=0, figsize=(10, 10))\n",
    "vertices.plot(ax=base, markersize=2, color=\"red\", zorder=1)\n",
    "# plot observations\n",
    "schools.plot(ax=base, markersize=5, color=\"k\", zorder=2)\n",
    "schools_supply.plot(ax=base, markersize=100, alpha=0.25, color=\"b\", zorder=2)\n",
    "schools_demand.plot(ax=base, markersize=100, alpha=0.25, color=\"g\", zorder=2)\n",
    "# add labels\n",
    "obs_labels(schools, base, 14, col=\"POLYID\", c=\"k\", weight=\"bold\")\n",
    "# add legend\n",
    "elements = [schools, schools_supply, schools_demand]\n",
    "legend(elements)\n",
    "# add scale bar\n",
    "scalebar = ScaleBar(1, units=\"m\", location=\"lower left\")\n",
    "base.add_artist(scalebar);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Associate both the supply and demand schools with the network and plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:40.476167Z",
     "start_time": "2021-06-25T22:26:40.439532Z"
    }
   },
   "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>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>comp_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supply snapped</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>POINT (221677.830 268184.321)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (221539.440 268185.067)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (221847.931 267927.691)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (221407.196 268047.138)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id                       geometry  comp_label\n",
       "supply snapped                                               \n",
       "0                0  POINT (221677.830 268184.321)           0\n",
       "1                1  POINT (221539.440 268185.067)           0\n",
       "2                2  POINT (221847.931 267927.691)           0\n",
       "3                3  POINT (221407.196 268047.138)           0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ntw.snapobservations(schools_supply, \"supply\")\n",
    "supply = spaghetti.element_as_gdf(ntw, pp_name=\"supply\")\n",
    "supply.index.name = \"supply\"\n",
    "supply_snapped = spaghetti.element_as_gdf(ntw, pp_name=\"supply\", snapped=True)\n",
    "supply_snapped.index.name = \"supply snapped\"\n",
    "supply_snapped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:40.511623Z",
     "start_time": "2021-06-25T22:26:40.477632Z"
    }
   },
   "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>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>comp_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>demand snapped</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>POINT (221053.069 268130.545)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (221526.519 267187.875)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (220504.720 268087.986)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (221292.553 267685.075)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id                       geometry  comp_label\n",
       "demand snapped                                               \n",
       "0                0  POINT (221053.069 268130.545)           0\n",
       "1                1  POINT (221526.519 267187.875)           0\n",
       "2                2  POINT (220504.720 268087.986)           0\n",
       "3                3  POINT (221292.553 267685.075)           0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ntw.snapobservations(schools_demand, \"demand\")\n",
    "demand = spaghetti.element_as_gdf(ntw, pp_name=\"demand\")\n",
    "demand.index.name = \"demand\"\n",
    "demand_snapped = spaghetti.element_as_gdf(ntw, pp_name=\"demand\", snapped=True)\n",
    "demand_snapped.index.name = \"demand snapped\"\n",
    "demand_snapped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.097062Z",
     "start_time": "2021-06-25T22:26:40.513217Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 575,
       "width": 874
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot network\n",
    "base = arcs.plot(linewidth=3, alpha=0.25, color=\"k\", zorder=0, figsize=(10, 10))\n",
    "vertices.plot(ax=base, markersize=5, color=\"r\", zorder=1)\n",
    "# plot observations\n",
    "schools.plot(ax=base, markersize=5, color=\"k\", zorder=2)\n",
    "supply.plot(ax=base, markersize=100, alpha=0.25, color=\"b\", zorder=3)\n",
    "supply_snapped.plot(ax=base, markersize=20, marker=\"x\", color=\"b\", zorder=3)\n",
    "demand.plot(ax=base, markersize=100, alpha=0.25, color=\"g\", zorder=2)\n",
    "demand_snapped.plot(ax=base, markersize=20, marker=\"x\", color=\"g\", zorder=3)\n",
    "# add labels\n",
    "obs_labels(supply, base, 14, c=\"b\")\n",
    "obs_labels(demand, base, 14, c=\"g\")\n",
    "# add legend\n",
    "elements += [supply_snapped, demand_snapped]\n",
    "legend(elements)\n",
    "# add scale bar\n",
    "scalebar = ScaleBar(1, units=\"m\", location=\"lower left\")\n",
    "base.add_artist(scalebar);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculate distance matrix while generating shortest path trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.632298Z",
     "start_time": "2021-06-25T22:26:41.099422Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 849.03401966, 1141.08317288, 1355.97131088],\n",
       "       [ 705.24862712,  997.29778034, 1212.18591834],\n",
       "       [ 993.39148999, 1052.63537513, 1500.3287812 ]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2d, tree = ntw.allneighbordistances(\"supply\", \"demand\", gen_tree=True)\n",
    "s2d[:3, :3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.638080Z",
     "start_time": "2021-06-25T22:26:41.633802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([((0, 0), (216, 218)),\n",
       "  ((0, 1), (216, 130)),\n",
       "  ((0, 2), (216, 24)),\n",
       "  ((0, 3), (216, 55))],\n",
       " [((3, 0), (65, 218)),\n",
       "  ((3, 1), (64, 130)),\n",
       "  ((3, 2), (65, 24)),\n",
       "  ((3, 3), (65, 55))])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(tree.items())[:4], list(tree.items())[-4:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------------------------------\n",
    "### 3. The Transportation Problem\n",
    "#### Create decision variables for the supply locations and amount to be supplied"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.651269Z",
     "start_time": "2021-06-25T22:26:41.640252Z"
    }
   },
   "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>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>comp_label</th>\n",
       "      <th>dv</th>\n",
       "      <th>s_i</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supply</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>POINT (221615.157 268183.063)</td>\n",
       "      <td>0</td>\n",
       "      <td>s_0</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>POINT (221542.706 268185.028)</td>\n",
       "      <td>0</td>\n",
       "      <td>s_1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>POINT (221847.882 267983.231)</td>\n",
       "      <td>0</td>\n",
       "      <td>s_2</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>POINT (221406.839 267990.801)</td>\n",
       "      <td>0</td>\n",
       "      <td>s_3</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                       geometry  comp_label   dv  s_i\n",
       "supply                                                         \n",
       "0        0  POINT (221615.157 268183.063)           0  s_0   20\n",
       "1        1  POINT (221542.706 268185.028)           0  s_1   30\n",
       "2        2  POINT (221847.882 267983.231)           0  s_2   15\n",
       "3        3  POINT (221406.839 267990.801)           0  s_3   35"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "supply[\"dv\"] = supply[\"id\"].apply(lambda _id: \"s_%s\" % _id)\n",
    "supply[\"s_i\"] = amount_supply\n",
    "supply"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create decision variables for the demand locations and amount to be received"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.663805Z",
     "start_time": "2021-06-25T22:26:41.652711Z"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "        id                       geometry  comp_label   dv  d_j\n",
       "demand                                                         \n",
       "0        0  POINT (221122.271 268131.466)           0  d_0    5\n",
       "1        1  POINT (221474.669 267188.462)           0  d_1   45\n",
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       "3        3  POINT (221235.835 267685.028)           0  d_3   40"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demand[\"dv\"] = demand[\"id\"].apply(lambda _id: \"d_%s\" % _id)\n",
    "demand[\"d_j\"] = amount_demand\n",
    "demand"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Solve the Transportation Problem\n",
    "**Note: shipping costs are in meters per microscope**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.874085Z",
     "start_time": "2021-06-25T22:26:41.665388Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimized shipping costs: 84595.7958\n",
      "\n",
      "Shipping decisions:\n",
      "\t x_0,3 20.0\n",
      "\t x_1,1 30.0\n",
      "\t x_2,1 15.0\n",
      "\t x_3,0 5.0\n",
      "\t x_3,2 10.0\n",
      "\t x_3,3 20.0\n"
     ]
    }
   ],
   "source": [
    "s, d, s_i, d_j = supply[\"dv\"], demand[\"dv\"], supply[\"s_i\"], demand[\"d_j\"]\n",
    "trans_prob = TransportationProblem(s, d, s2d, s_i, d_j)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Linear program  (compare to its formulation in the Introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.878826Z",
     "start_time": "2021-06-25T22:26:41.875414Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " \\Problem name:  TransportationProblem\n",
      "\n",
      "Minimize\n",
      "OBJROW: 849.03402 x_0,0 + 1141.08317 x_0,1 + 1355.97131 x_0,2 + 884.73265 x_0,3 + 705.24863 x_1,0 + 997.29778 x_1,1 + 1212.18592 x_1,2 + 740.94726 x_1,3 + 993.39149 x_2,0 + 1052.63538 x_2,1\n",
      " + 1500.32878 x_2,2 + 796.28486 x_2,3 + 435.89351 x_3,0 + 989.11627 x_3,1 + 942.83080 x_3,2 + 479.24516 x_3,3\n",
      "Subject To\n",
      "supply(0):  x_0,0 + x_0,1 + x_0,2 + x_0,3 <= 20\n",
      "supply(1):  x_1,0 + x_1,1 + x_1,2 + x_1,3 <= 30\n",
      "supply(2):  x_2,0 + x_2,1 + x_2,2 + x_2,3 <= 15\n",
      "supply(3):  x_3,0 + x_3,1 + x_3,2 + x_3,3 <= 35\n",
      "demand(0):  x_0,0 + x_1,0 + x_2,0 + x_3,0 >= 5\n",
      "demand(1):  x_0,1 + x_1,1 + x_2,1 + x_3,1 >= 45\n",
      "demand(2):  x_0,2 + x_1,2 + x_2,2 + x_3,2 >= 10\n",
      "demand(3):  x_0,3 + x_1,3 + x_2,3 + x_3,3 >= 40\n",
      "Bounds\n",
      "End\n",
      "\n"
     ]
    }
   ],
   "source": [
    "trans_prob.print_lp()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  Extract all network shortest paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.899982Z",
     "start_time": "2021-06-25T22:26:41.880847Z"
    }
   },
   "outputs": [
    {
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       "                                            geometry  O  D      id\n",
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       "1  LINESTRING (221677.830 268184.321, 221680.004 ...  0  1  (0, 1)\n",
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       "4  LINESTRING (221539.440 268185.067, 221538.155 ...  1  0  (1, 0)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paths = ntw.shortest_paths(tree, \"supply\", \"demand\")\n",
    "paths_gdf = spaghetti.element_as_gdf(ntw, routes=paths)\n",
    "paths_gdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  Extract the shipping paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:41.916552Z",
     "start_time": "2021-06-25T22:26:41.901446Z"
    }
   },
   "outputs": [
    {
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       "      <th>ship</th>\n",
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      "text/plain": [
       "                                             geometry  O  D      id  ship\n",
       "3   LINESTRING (221677.830 268184.321, 221680.004 ...  0  3  (0, 3)    20\n",
       "5   LINESTRING (221539.440 268185.067, 221538.155 ...  1  1  (1, 1)    30\n",
       "9   LINESTRING (221847.931 267927.691, 221815.862 ...  2  1  (2, 1)    15\n",
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       "14  LINESTRING (221407.196 268047.138, 221336.616 ...  3  2  (3, 2)    10\n",
       "15  LINESTRING (221407.196 268047.138, 221336.616 ...  3  3  (3, 3)    20"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shipments = trans_prob.extract_shipments(paths_gdf, \"id\")\n",
    "shipments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot optimal shipping schedule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-25T22:26:42.793453Z",
     "start_time": "2021-06-25T22:26:41.918254Z"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 575,
       "width": 903
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot network\n",
    "base = arcs.plot(alpha=0.2, linewidth=1, color=\"k\", figsize=(10, 10), zorder=0)\n",
    "vertices.plot(ax=base, markersize=1, color=\"r\", zorder=2)\n",
    "# plot observations\n",
    "schools.plot(ax=base, markersize=5, color=\"k\", zorder=2)\n",
    "supply.plot(ax=base, markersize=100, alpha=0.25, color=\"b\", zorder=3)\n",
    "supply_snapped.plot(ax=base, markersize=20, marker=\"x\", color=\"b\", zorder=3)\n",
    "demand.plot(ax=base, markersize=100, alpha=0.25, color=\"g\", zorder=2)\n",
    "demand_snapped.plot(ax=base, markersize=20, marker=\"x\", color=\"g\", zorder=3)\n",
    "# plot shipments\n",
    "plot_shipments(shipments.groupby(\"O\"), base)\n",
    "# add labels\n",
    "obs_labels(supply, base, 14, c=\"b\")\n",
    "obs_labels(demand, base, 14, c=\"g\")\n",
    "# add legend\n",
    "elements += [shipments.groupby(\"O\")]\n",
    "legend(elements)\n",
    "# add scale bar\n",
    "scalebar = ScaleBar(1, units=\"m\", location=\"lower left\")\n",
    "base.add_artist(scalebar);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------------------------\n",
    "#### By utilizing the Transportation Problem, Dr. Carson has been able to minimize shipping costs and redistribute the microscopes to the schools in need!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------------"
   ]
  }
 ],
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