PySAL_io.ipynb

{
 "metadata": {
  "name": "PySAL_io"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Contributors to this notebook\n",
      "\n",
      "* Daniel Arribas-Bel [@darribas](http://twitter.com/darribas)\n",
      "* Serge Rey http://sjrey.org"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pysal as ps  # 1.5 or higher\n",
      "import numpy as np  # 1.7 or higher\n",
      "import pandas as pd # 0.10 or higher"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# A brief introduction to PySAL, a library for spatial analysis\n",
      "\n",
      "In this notebook, I will present the main functionality of the library `PySAL`. I will start with a bit of brackground and overview and then walk through the following sections:\n",
      "\n",
      "* Data I/O: read and write shapefiles\n",
      "* Shapefile visualization\n",
      "* Spatial Weights\n",
      "* Core functionality of `PySAL`\n",
      "     * ESDA & spatial autocorrelation\n",
      "     * Specific modules: `region`, `spreg`, `spatial_dynamics` and `inequality`\n",
      "     * `contrib` module\n",
      "* A sneak peak into the current and future plans"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Data I/O\n",
      "\n",
      "One of the main advantages and contributions of PySAL is the easy interface it provides to ESRI shapefiles. The shapefile is the most common vector format of spatial data and it is widely used in applications in the social sciences because of the nature of the data at the disposal (areal or point typically).\n",
      "\n",
      "For this example, we will use the shapefile `amsterdam_hoods.shp` from the `data` folder that contains the polygons of the different neighborhoods in Amsterdam. Along with the geometry of the polygons is a dbf that contains aggregated data for the checkins we have explored in the previous notebook."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Shapefiles\n",
      "\n",
      "`PySAL` has a very *pythonic* way of interacting with shapefiles, with an `open` command like the standard library:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "shp_link = 'data/amsterdam_hoods.shp'\n",
      "shp = ps.open(shp_link)\n",
      "shp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<pysal.core.IOHandlers.pyShpIO.PurePyShpWrapper at 0x3c9c250>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Once open, we can get different attributes of the shapefile right away:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "shp.header"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "{'BBOX Mmax': 0.0,\n",
        " 'BBOX Mmin': 0.0,\n",
        " 'BBOX Xmax': 5.06863004280464,\n",
        " 'BBOX Xmin': 4.72926974364051,\n",
        " 'BBOX Ymax': 52.43213807123786,\n",
        " 'BBOX Ymin': 52.2794164487147,\n",
        " 'BBOX Zmax': 0.0,\n",
        " 'BBOX Zmin': 0.0,\n",
        " 'File Code': 9994,\n",
        " 'File Length': 29934,\n",
        " 'Shape Type': 5,\n",
        " 'Unused0': 0,\n",
        " 'Unused1': 0,\n",
        " 'Unused2': 0,\n",
        " 'Unused3': 0,\n",
        " 'Unused4': 0,\n",
        " 'Version': 1000}"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "shp.bbox"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "[4.72926974364051, 52.2794164487147, 5.06863004280464, 52.43213807123786]"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The object creates an iterator over the polygons that goes in the same order as the rows in the `dbf`. So you can iterate over the polygons to operate on them individually:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "for poly in shp:\n",
      "    print \"Iterating over polygon: \", poly.id"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Iterating over polygon:  1\n",
        "Iterating over polygon:  2\n",
        "Iterating over polygon:  3\n",
        "Iterating over polygon:  4\n",
        "Iterating over polygon:  5\n",
        "Iterating over polygon:  6\n",
        "Iterating over polygon:  7\n",
        "Iterating over polygon:  8\n",
        "Iterating over polygon:  9\n",
        "Iterating over polygon:  10\n",
        "Iterating over polygon:  11\n",
        "Iterating over polygon:  12\n",
        "Iterating over polygon:  13\n",
        "Iterating over polygon:  14\n",
        "Iterating over polygon:  15\n",
        "Iterating over polygon:  16\n",
        "Iterating over polygon:  17\n",
        "Iterating over polygon:  18\n",
        "Iterating over polygon:  19\n",
        "Iterating over polygon:  20\n",
        "Iterating over polygon:  21\n",
        "Iterating over polygon:  22\n",
        "Iterating over polygon:  23\n",
        "Iterating over polygon:  24\n",
        "Iterating over polygon:  25\n",
        "Iterating over polygon:  26\n",
        "Iterating over polygon:  27\n",
        "Iterating over polygon:  28\n",
        "Iterating over polygon:  29\n",
        "Iterating over polygon:  30\n",
        "Iterating over polygon:  31\n",
        "Iterating over polygon:  32\n",
        "Iterating over polygon:  33\n",
        "Iterating over polygon:  34\n",
        "Iterating over polygon:  35\n",
        "Iterating over polygon:  36\n",
        "Iterating over polygon:  37\n",
        "Iterating over polygon:  38\n",
        "Iterating over polygon:  39\n",
        "Iterating over polygon:  40\n",
        "Iterating over polygon:  41\n",
        "Iterating over polygon:  42\n",
        "Iterating over polygon:  43\n",
        "Iterating over polygon:  44\n",
        "Iterating over polygon:  45\n",
        "Iterating over polygon:  46\n",
        "Iterating over polygon:  47\n",
        "Iterating over polygon:  48\n",
        "Iterating over polygon:  49\n",
        "Iterating over polygon:  50\n",
        "Iterating over polygon:  51\n",
        "Iterating over polygon:  52\n",
        "Iterating over polygon:  53\n",
        "Iterating over polygon:  54\n",
        "Iterating over polygon:  55\n",
        "Iterating over polygon:  56\n",
        "Iterating over polygon:  57\n",
        "Iterating over polygon:  58\n",
        "Iterating over polygon:  59\n",
        "Iterating over polygon:  60\n",
        "Iterating over polygon:  61\n",
        "Iterating over polygon:  62\n",
        "Iterating over polygon:  63\n",
        "Iterating over polygon:  64\n",
        "Iterating over polygon:  65\n",
        "Iterating over polygon:  66\n",
        "Iterating over polygon:  67\n",
        "Iterating over polygon:  68\n",
        "Iterating over polygon:  69\n",
        "Iterating over polygon:  70\n",
        "Iterating over polygon:  71\n",
        "Iterating over polygon:  72\n",
        "Iterating over polygon:  73\n",
        "Iterating over polygon:  74\n",
        "Iterating over polygon:  75\n",
        "Iterating over polygon:  76\n",
        "Iterating over polygon:  77\n",
        "Iterating over polygon:  78\n",
        "Iterating over polygon:  79\n",
        "Iterating over polygon:  80\n",
        "Iterating over polygon:  81\n",
        "Iterating over polygon:  82\n",
        "Iterating over polygon:  83\n",
        "Iterating over polygon:  84\n",
        "Iterating over polygon:  85\n",
        "Iterating over polygon:  86\n",
        "Iterating over polygon:  87\n",
        "Iterating over polygon:  88\n",
        "Iterating over polygon:  89\n",
        "Iterating over polygon:  90\n",
        "Iterating over polygon:  91\n",
        "Iterating over polygon:  92\n",
        "Iterating over polygon:  93\n",
        "Iterating over polygon:  94\n",
        "Iterating over polygon:  95\n",
        "Iterating over polygon:  96\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Or, if the shapefile is not too big and your machine is generous in RAM, you can pack them all into a list:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "polys = list(shp)\n",
      "poly0 = shp[0]\n",
      "poly0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<pysal.cg.shapes.Polygon at 0x3c9c410>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Spend some time exploring the attributes of polygons:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Note that this does not make much sense if the shapefile is not projected\n",
      "poly0.area"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "5.3677530927880024e-05"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "poly0.centroid"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "(4.89742311742521, 52.37362424151918)"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Does not contain holes\n",
      "poly0.holes"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "[[]]"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "poly0.perimeter"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "0.03272855678890349"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "poly0.vertices"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "[(4.895853931294426, 52.3685306056879),\n",
        " (4.895608395880829, 52.368579135637),\n",
        " (4.895069059784516, 52.36827136401666),\n",
        " (4.894453735047168, 52.36833356576813),\n",
        " (4.893137111197583, 52.369431533940286),\n",
        " (4.892812396329113, 52.37008523352424),\n",
        " (4.893413457272433, 52.373189498497105),\n",
        " (4.893267486971745, 52.373313473206),\n",
        " (4.893312858925569, 52.37373586490692),\n",
        " (4.89351432623952, 52.37421329026471),\n",
        " (4.89689279143361, 52.37673534321573),\n",
        " (4.897384789054209, 52.376512932627534),\n",
        " (4.899711293018493, 52.37820146422082),\n",
        " (4.901999584276892, 52.37830579506311),\n",
        " (4.903090918019509, 52.37809026749979),\n",
        " (4.90352016827385, 52.3777682040377),\n",
        " (4.903251031067214, 52.377410159801585),\n",
        " (4.90281504973314, 52.37723979098532),\n",
        " (4.901595851275064, 52.37519349037614),\n",
        " (4.901280145956854, 52.3745915200307),\n",
        " (4.901099875926198, 52.37416215032509),\n",
        " (4.9014017684343205, 52.37410802005844),\n",
        " (4.900795976616639, 52.37307474415859),\n",
        " (4.900225948282847, 52.37319945442478),\n",
        " (4.899076049145883, 52.3719953434008),\n",
        " (4.895853931294426, 52.3685306056879)]"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you want to write shapefiles, it is possible and equally simple. All you have to do is open a new file and create the appropriate specs:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "shpo = ps.open('data/test.shp', 'w')\n",
      "shpo.header = shp.header"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now assume you want to write only the first polygon:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "shpo.write(poly0)\n",
      "shpo.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### DBF files\n",
      "\n",
      "As mentioned, along with the `.shp` object there is a `.dbf` file that contains attribute data for the polygons. You can easily access it and load it using `pysal` as well:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dbf = ps.open(shp_link.replace('.shp', '.dbf'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Very much like with shapefiles, once it is loaded, you can access several aspects of it:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "dbf.header"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "['h_0',\n",
        " 'h_1',\n",
        " 'h_10',\n",
        " 'h_11',\n",
        " 'h_12',\n",
        " 'h_13',\n",
        " 'h_14',\n",
        " 'h_15',\n",
        " 'h_16',\n",
        " 'h_17',\n",
        " 'h_18',\n",
        " 'h_19',\n",
        " 'h_2',\n",
        " 'h_20',\n",
        " 'h_21',\n",
        " 'h_22',\n",
        " 'h_23',\n",
        " 'h_3',\n",
        " 'h_4',\n",
        " 'h_5',\n",
        " 'h_6',\n",
        " 'h_7',\n",
        " 'h_8',\n",
        " 'h_9',\n",
        " 'total',\n",
        " 'total_rando',\n",
        " 'venues',\n",
        " 'buurt']"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dbf.field_spec"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "[('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('N', 36, 15),\n",
        " ('C', 14, 0)]"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# Pull out collumn \"total\"\n",
      "total = dbf.by_col(\"total\")\n",
      "total"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "[2750.0,\n",
        " 6620.0,\n",
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       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Pulling out columns results in a Python list, which may not be the most efficient data structure to store and operate on the data. It is preferable to convert it into a numpy array. You can do this for instance to pull automatically all the columns in the header:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cols = np.array([dbf.by_col(col) for col in dbf.header]).T\n",
      "cols"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "array([['30.0', '12.0', '136.0', ..., '483.0', '95.0', 'BU03630000'],\n",
        "       ['54.0', '34.0', '339.0', ..., '88.0', '116.0', 'BU03630001'],\n",
        "       ['18.0', '10.0', '132.0', ..., '815.0', '68.0', 'BU03630002'],\n",
        "       ..., \n",
        "       ['2.0', '0.0', '42.0', ..., '420.0', '10.0', 'BU03631459'],\n",
        "       ['0.0', '0.0', '149.0', ..., '1477.0', '24.0', 'BU03631490'],\n",
        "       ['3.0', '1.0', '43.0', ..., '739.0', '7.0', 'BU03631491']], \n",
        "      dtype='|S10')"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Note that, because arrays only allow for one data type, all the columns are coerced into strings (the neighbohood names cannot be understood as numbers). We can extract all the columns whose data type is not a string. This requires some Python foo, but it's possible in a single line:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "numeric_cols = np.array([dbf.by_col(dbf.header[i]) for i in range(len(dbf.header)) if dbf.field_spec[i][0] == 'N']).T\n",
      "numeric_cols"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "array([[  3.00000000e+01,   1.20000000e+01,   1.36000000e+02, ...,\n",
        "          2.75000000e+03,   4.83000000e+02,   9.50000000e+01],\n",
        "       [  5.40000000e+01,   3.40000000e+01,   3.39000000e+02, ...,\n",
        "          6.62000000e+03,   8.80000000e+01,   1.16000000e+02],\n",
        "       [  1.80000000e+01,   1.00000000e+01,   1.32000000e+02, ...,\n",
        "          2.52100000e+03,   8.15000000e+02,   6.80000000e+01],\n",
        "       ..., \n",
        "       [  2.00000000e+00,   0.00000000e+00,   4.20000000e+01, ...,\n",
        "          5.43000000e+02,   4.20000000e+02,   1.00000000e+01],\n",
        "       [  0.00000000e+00,   0.00000000e+00,   1.49000000e+02, ...,\n",
        "          2.17900000e+03,   1.47700000e+03,   2.40000000e+01],\n",
        "       [  3.00000000e+00,   1.00000000e+00,   4.30000000e+01, ...,\n",
        "          8.15000000e+02,   7.39000000e+02,   7.00000000e+00]])"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "However, it would be very nice if you could pull everything into one single object that contained all the information properly. This is a perfect task for a `pandas.Dataframe`. We will take advantage of the fact that you can create them from a dictionary where the key is the column name and the value is the column itself in a numpy array:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d = dict([(col, np.array(dbf.by_col(col))) for col in dbf.header])\n",
      "df = pd.DataFrame(d)\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 96 entries, 0 to 95\n",
        "Data columns:\n",
        "buurt          96  non-null values\n",
        "h_0            96  non-null values\n",
        "h_1            96  non-null values\n",
        "h_10           96  non-null values\n",
        "h_11           96  non-null values\n",
        "h_12           96  non-null values\n",
        "h_13           96  non-null values\n",
        "h_14           96  non-null values\n",
        "h_15           96  non-null values\n",
        "h_16           96  non-null values\n",
        "h_17           96  non-null values\n",
        "h_18           96  non-null values\n",
        "h_19           96  non-null values\n",
        "h_2            96  non-null values\n",
        "h_20           96  non-null values\n",
        "h_21           96  non-null values\n",
        "h_22           96  non-null values\n",
        "h_23           96  non-null values\n",
        "h_3            96  non-null values\n",
        "h_4            96  non-null values\n",
        "h_5            96  non-null values\n",
        "h_6            96  non-null values\n",
        "h_7            96  non-null values\n",
        "h_8            96  non-null values\n",
        "h_9            96  non-null values\n",
        "total          96  non-null values\n",
        "total_rando    96  non-null values\n",
        "venues         96  non-null values\n",
        "dtypes: float64(27), object(1)"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Note that the columns are ordered alphabetially. If we wanted to get the original order:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "df = df[dbf.header]\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 96 entries, 0 to 95\n",
        "Data columns:\n",
        "h_0            96  non-null values\n",
        "h_1            96  non-null values\n",
        "h_10           96  non-null values\n",
        "h_11           96  non-null values\n",
        "h_12           96  non-null values\n",
        "h_13           96  non-null values\n",
        "h_14           96  non-null values\n",
        "h_15           96  non-null values\n",
        "h_16           96  non-null values\n",
        "h_17           96  non-null values\n",
        "h_18           96  non-null values\n",
        "h_19           96  non-null values\n",
        "h_2            96  non-null values\n",
        "h_20           96  non-null values\n",
        "h_21           96  non-null values\n",
        "h_22           96  non-null values\n",
        "h_23           96  non-null values\n",
        "h_3            96  non-null values\n",
        "h_4            96  non-null values\n",
        "h_5            96  non-null values\n",
        "h_6            96  non-null values\n",
        "h_7            96  non-null values\n",
        "h_8            96  non-null values\n",
        "h_9            96  non-null values\n",
        "total          96  non-null values\n",
        "total_rando    96  non-null values\n",
        "venues         96  non-null values\n",
        "buurt          96  non-null values\n",
        "dtypes: float64(27), object(1)"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "df.describe().T # Use .T to transpose the DataFrame and allow it to fit on screen"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>count</th>\n",
        "      <th>mean</th>\n",
        "      <th>std</th>\n",
        "      <th>min</th>\n",
        "      <th>25%</th>\n",
        "      <th>50%</th>\n",
        "      <th>75%</th>\n",
        "      <th>max</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>h_0</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>   8.104167</td>\n",
        "      <td>   14.072354</td>\n",
        "      <td> 0</td>\n",
        "      <td>   0.75</td>\n",
        "      <td>   2.0</td>\n",
        "      <td>    6.00</td>\n",
        "      <td>   81</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_1</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>   4.822917</td>\n",
        "      <td>    8.776757</td>\n",
        "      <td> 0</td>\n",
        "      <td>   0.00</td>\n",
        "      <td>   1.0</td>\n",
        "      <td>    4.25</td>\n",
        "      <td>   51</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_10</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  43.375000</td>\n",
        "      <td>   56.858874</td>\n",
        "      <td> 0</td>\n",
        "      <td>   6.00</td>\n",
        "      <td>  22.5</td>\n",
        "      <td>   56.50</td>\n",
        "      <td>  339</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_11</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  48.781250</td>\n",
        "      <td>   65.720333</td>\n",
        "      <td> 0</td>\n",
        "      <td>   9.75</td>\n",
        "      <td>  21.0</td>\n",
        "      <td>   56.25</td>\n",
        "      <td>  380</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_12</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  44.625000</td>\n",
        "      <td>   61.220267</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.75</td>\n",
        "      <td>  20.0</td>\n",
        "      <td>   56.75</td>\n",
        "      <td>  375</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_13</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  44.239583</td>\n",
        "      <td>   64.715205</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.75</td>\n",
        "      <td>  17.5</td>\n",
        "      <td>   50.25</td>\n",
        "      <td>  402</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_14</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  46.104167</td>\n",
        "      <td>   66.630083</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.00</td>\n",
        "      <td>  20.0</td>\n",
        "      <td>   60.25</td>\n",
        "      <td>  393</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_15</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  49.458333</td>\n",
        "      <td>   72.998330</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.00</td>\n",
        "      <td>  21.0</td>\n",
        "      <td>   60.25</td>\n",
        "      <td>  497</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_16</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  55.718750</td>\n",
        "      <td>   85.670569</td>\n",
        "      <td> 0</td>\n",
        "      <td>   9.75</td>\n",
        "      <td>  24.5</td>\n",
        "      <td>   69.25</td>\n",
        "      <td>  603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_17</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  59.229167</td>\n",
        "      <td>   84.347212</td>\n",
        "      <td> 0</td>\n",
        "      <td>  11.00</td>\n",
        "      <td>  31.5</td>\n",
        "      <td>   59.25</td>\n",
        "      <td>  513</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_18</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  58.468750</td>\n",
        "      <td>   83.960010</td>\n",
        "      <td> 0</td>\n",
        "      <td>   9.75</td>\n",
        "      <td>  25.5</td>\n",
        "      <td>   58.00</td>\n",
        "      <td>  388</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_19</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  47.739583</td>\n",
        "      <td>   68.305698</td>\n",
        "      <td> 0</td>\n",
        "      <td>   6.00</td>\n",
        "      <td>  23.0</td>\n",
        "      <td>   58.00</td>\n",
        "      <td>  360</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_2</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>   2.343750</td>\n",
        "      <td>    4.366929</td>\n",
        "      <td> 0</td>\n",
        "      <td>   0.00</td>\n",
        "      <td>   1.0</td>\n",
        "      <td>    2.00</td>\n",
        "      <td>   22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_20</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  38.989583</td>\n",
        "      <td>   54.179914</td>\n",
        "      <td> 0</td>\n",
        "      <td>   6.00</td>\n",
        "      <td>  20.5</td>\n",
        "      <td>   47.25</td>\n",
        "      <td>  308</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_21</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  32.364583</td>\n",
        "      <td>   44.066247</td>\n",
        "      <td> 0</td>\n",
        "      <td>   4.50</td>\n",
        "      <td>  16.0</td>\n",
        "      <td>   39.25</td>\n",
        "      <td>  251</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_22</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  23.072917</td>\n",
        "      <td>   32.214820</td>\n",
        "      <td> 0</td>\n",
        "      <td>   3.00</td>\n",
        "      <td>  10.5</td>\n",
        "      <td>   28.25</td>\n",
        "      <td>  186</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_23</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  14.343750</td>\n",
        "      <td>   21.206170</td>\n",
        "      <td> 0</td>\n",
        "      <td>   2.00</td>\n",
        "      <td>   7.5</td>\n",
        "      <td>   18.25</td>\n",
        "      <td>  130</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_3</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>   1.656250</td>\n",
        "      <td>    3.505869</td>\n",
        "      <td> 0</td>\n",
        "      <td>   0.00</td>\n",
        "      <td>   0.0</td>\n",
        "      <td>    2.00</td>\n",
        "      <td>   24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_4</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>   3.906250</td>\n",
        "      <td>    7.170228</td>\n",
        "      <td> 0</td>\n",
        "      <td>   0.00</td>\n",
        "      <td>   1.0</td>\n",
        "      <td>    4.00</td>\n",
        "      <td>   36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_5</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  12.166667</td>\n",
        "      <td>   25.137377</td>\n",
        "      <td> 0</td>\n",
        "      <td>   1.00</td>\n",
        "      <td>   5.0</td>\n",
        "      <td>   10.25</td>\n",
        "      <td>  172</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_6</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  31.760417</td>\n",
        "      <td>   48.716526</td>\n",
        "      <td> 0</td>\n",
        "      <td>   5.00</td>\n",
        "      <td>  13.0</td>\n",
        "      <td>   35.25</td>\n",
        "      <td>  287</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_7</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  47.927083</td>\n",
        "      <td>   64.391115</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.75</td>\n",
        "      <td>  21.5</td>\n",
        "      <td>   71.00</td>\n",
        "      <td>  372</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_8</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  46.489583</td>\n",
        "      <td>   58.026127</td>\n",
        "      <td> 0</td>\n",
        "      <td>   8.00</td>\n",
        "      <td>  19.5</td>\n",
        "      <td>   77.25</td>\n",
        "      <td>  324</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>h_9</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  40.843750</td>\n",
        "      <td>   51.638894</td>\n",
        "      <td> 0</td>\n",
        "      <td>   7.75</td>\n",
        "      <td>  21.0</td>\n",
        "      <td>   57.25</td>\n",
        "      <td>  292</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>total</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td> 806.531250</td>\n",
        "      <td> 1070.210338</td>\n",
        "      <td> 5</td>\n",
        "      <td> 147.00</td>\n",
        "      <td> 422.0</td>\n",
        "      <td> 1028.25</td>\n",
        "      <td> 6620</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>total_rando</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td> 806.531250</td>\n",
        "      <td> 1070.210338</td>\n",
        "      <td> 5</td>\n",
        "      <td> 147.00</td>\n",
        "      <td> 422.0</td>\n",
        "      <td> 1028.25</td>\n",
        "      <td> 6620</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>venues</strong></td>\n",
        "      <td> 96</td>\n",
        "      <td>  12.864583</td>\n",
        "      <td>   22.031852</td>\n",
        "      <td> 0</td>\n",
        "      <td>   1.00</td>\n",
        "      <td>   6.0</td>\n",
        "      <td>   11.00</td>\n",
        "      <td>  116</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "             count        mean          std  min     25%    50%      75%   max\n",
        "h_0             96    8.104167    14.072354    0    0.75    2.0     6.00    81\n",
        "h_1             96    4.822917     8.776757    0    0.00    1.0     4.25    51\n",
        "h_10            96   43.375000    56.858874    0    6.00   22.5    56.50   339\n",
        "h_11            96   48.781250    65.720333    0    9.75   21.0    56.25   380\n",
        "h_12            96   44.625000    61.220267    0    7.75   20.0    56.75   375\n",
        "h_13            96   44.239583    64.715205    0    7.75   17.5    50.25   402\n",
        "h_14            96   46.104167    66.630083    0    7.00   20.0    60.25   393\n",
        "h_15            96   49.458333    72.998330    0    7.00   21.0    60.25   497\n",
        "h_16            96   55.718750    85.670569    0    9.75   24.5    69.25   603\n",
        "h_17            96   59.229167    84.347212    0   11.00   31.5    59.25   513\n",
        "h_18            96   58.468750    83.960010    0    9.75   25.5    58.00   388\n",
        "h_19            96   47.739583    68.305698    0    6.00   23.0    58.00   360\n",
        "h_2             96    2.343750     4.366929    0    0.00    1.0     2.00    22\n",
        "h_20            96   38.989583    54.179914    0    6.00   20.5    47.25   308\n",
        "h_21            96   32.364583    44.066247    0    4.50   16.0    39.25   251\n",
        "h_22            96   23.072917    32.214820    0    3.00   10.5    28.25   186\n",
        "h_23            96   14.343750    21.206170    0    2.00    7.5    18.25   130\n",
        "h_3             96    1.656250     3.505869    0    0.00    0.0     2.00    24\n",
        "h_4             96    3.906250     7.170228    0    0.00    1.0     4.00    36\n",
        "h_5             96   12.166667    25.137377    0    1.00    5.0    10.25   172\n",
        "h_6             96   31.760417    48.716526    0    5.00   13.0    35.25   287\n",
        "h_7             96   47.927083    64.391115    0    7.75   21.5    71.00   372\n",
        "h_8             96   46.489583    58.026127    0    8.00   19.5    77.25   324\n",
        "h_9             96   40.843750    51.638894    0    7.75   21.0    57.25   292\n",
        "total           96  806.531250  1070.210338    5  147.00  422.0  1028.25  6620\n",
        "total_rando     96  806.531250  1070.210338    5  147.00  422.0  1028.25  6620\n",
        "venues          96   12.864583    22.031852    0    1.00    6.0    11.00   116"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Similarly as before, writing dbf files is no problem. Create a new output file, setup the right specifications, and write the records. For the sake of the example, we will write to a new `.dbf` the record of the first polygon, so we complete the example started with the shapefile."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dbfo = ps.open('data/test.dbf', 'w')\n",
      "dbfo.header = dbf.header\n",
      "dbfo.field_spec = dbf.field_spec\n",
      "# Records need to be in a Python list\n",
      "rec = list(df.ix[0].values)\n",
      "dbfo.write(rec)\n",
      "# Don't forget to close the file, the data is written at that moment!!!\n",
      "dbfo.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Shapefile visualization\n",
      "\n",
      "Although still experimental and very rough on the edges, `PySAL` provides a module to visualize shapefiles. This is very clean and lean and, unlike other options such as `Basemap`, does not depend on difficult to install third party libraries. The code is in the `viz` module, part of `contrib`, the sandbox and interface with third party libraries layer for PySAL.\n",
      "\n",
      "Eventually, there will be two tiers of the API: a low-level one that translates a shapefile object into one that is Matplotlib-compatible but that does not produce any map right away (very flexible); and a high-level one that presents canned versions of very common plots (a-la `pandas`).\n",
      "\n",
      "Let's begin with a quick and dirty visualization of the polygons:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pysal.contrib.viz import mapping as viz"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "viz.plot_poly_lines(shp_link)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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QTkUozcIYhgHLstUSROf58+cQCoWYMWNGNUj4ZvEmm7PWitLVhEKhQGZmJg4f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\nrkJggg==\n"
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For the sake of pedagogy, let's create a similar plot using the low-level interface:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = figure()\n",
      "ax = f.add_subplot(111)\n",
      "poly_collection = viz.map_poly_shp(shp_link)\n",
      "poly_collection.set_facecolor('none')\n",
      "ax.add_collection(poly_collection)\n",
      "ax.autoscale_view()\n",
      "ax.set_frame_on(False)\n",
      "ax.axes.get_yaxis().set_visible(False)\n",
      "ax.axes.get_xaxis().set_visible(False)\n",
      "show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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iIjAMA6FQCCsrK9jY2EChUKBDhw4oKyszatygoCC0bdvWqHuUSiWICLa2tuja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      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "An advantage of the latter is that it gives you much more flexibility to for example, add in an extra layer on the plot. Let's bring back the checkins from the previous notebook and overlay them on the figure (we will create a larger one to be able to see through):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "db = pd.read_csv('http://ubuntuone.com/4oIpVJDCpdREhzNdSRwMx8')\n",
      "\n",
      "f = figure(figsize=(12, 12))\n",
      "ax = f.add_subplot(111)\n",
      "poly_collection = viz.map_poly_shp(shp_link)\n",
      "poly_collection.set_facecolor('none')\n",
      "ax.add_collection(poly_collection)\n",
      "ax.autoscale_view()\n",
      "ax.set_frame_on(False)\n",
      "ax.axes.get_yaxis().set_visible(False)\n",
      "ax.axes.get_xaxis().set_visible(False)\n",
      "scatter(db['lon'].values, db['lat'].values, marker='.', alpha=0.5, s=2.5)\n",
      "title(\"Spatial distribution of checkins in Amsterdam\")\n",
      "show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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MmDAB2traMu+TvV8SEhLQv39/tGzZEps3b8aJE+dw8uQtrF37bbm3zwZeLgE3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\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jd/d/AY8ePcLJyUkjT/exqF+/PrVq1SqZRb0H5syZQ5s2bf5j85Xi/3+UktVSfBA+hLB+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\nu3dnavvTTz9p4sTxmWYbX3zxaS1Z8pbs9tO6dOmUJGnJkrVavHi1fv31V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      }
     ],
     "prompt_number": 28
    }
   ],
   "metadata": {}
  }
 ]
}