Work-Geopython.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# working with Geopandas modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "data = gpd.read_file(\"C:\\\\Users\\\\Toyin Obasoro\\\\Desktop\\\\Geoscience Coding\\\\Geopandas-Geo-Python\\\\L2_data\\Europe_borders.shp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TZID</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Europe/Berlin</td>\n",
       "      <td>POLYGON ((8.45778 54.56236, 8.44953 54.56269, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Europe/Berlin</td>\n",
       "      <td>POLYGON ((8.71992 47.69664, 8.72092 47.69530, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Europe/Berlin</td>\n",
       "      <td>POLYGON ((6.73317 53.57409, 6.73017 53.57542, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Europe/Berlin</td>\n",
       "      <td>POLYGON ((6.85822 53.59411, 6.85592 53.59550, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Europe/Berlin</td>\n",
       "      <td>POLYGON ((6.89894 53.62561, 6.88439 53.62814, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TZID                                           geometry\n",
       "0  Europe/Berlin  POLYGON ((8.45778 54.56236, 8.44953 54.56269, ...\n",
       "1  Europe/Berlin  POLYGON ((8.71992 47.69664, 8.72092 47.69530, ...\n",
       "2  Europe/Berlin  POLYGON ((6.73317 53.57409, 6.73017 53.57542, ...\n",
       "3  Europe/Berlin  POLYGON ((6.85822 53.59411, 6.85592 53.59550, ...\n",
       "4  Europe/Berlin  POLYGON ((6.89894 53.62561, 6.88439 53.62814, ..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "RangeIndex: 3632 entries, 0 to 3631\n",
      "Data columns (total 2 columns):\n",
      " #   Column    Non-Null Count  Dtype   \n",
      "---  ------    --------------  -----   \n",
      " 0   TZID      3632 non-null   object  \n",
      " 1   geometry  3632 non-null   geometry\n",
      "dtypes: geometry(1), object(1)\n",
      "memory usage: 56.9+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "geopandas.geodataframe.GeoDataFrame"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2457be140c8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    POLYGON ((8.45778 54.56236, 8.44953 54.56269, ...\n",
      "1    POLYGON ((8.71992 47.69664, 8.72092 47.69530, ...\n",
      "2    POLYGON ((6.73317 53.57409, 6.73017 53.57542, ...\n",
      "3    POLYGON ((6.85822 53.59411, 6.85592 53.59550, ...\n",
      "4    POLYGON ((6.89894 53.62561, 6.88439 53.62814, ...\n",
      "Name: geometry, dtype: geometry\n"
     ]
    }
   ],
   "source": [
    "print(data['geometry'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    POLYGON ((4221214.558 3496203.404, 4220681.651...\n",
      "1    POLYGON ((4224860.478 2732279.320, 4224932.819...\n",
      "2    POLYGON ((4104652.176 3390034.953, 4104460.401...\n",
      "3    POLYGON ((4113025.664 3391895.756, 4112879.943...\n",
      "4    POLYGON ((4115871.228 3395282.099, 4114921.348...\n",
      "Name: geometry, dtype: geometry\n"
     ]
    }
   ],
   "source": [
    "# Let's make a copy of our data\n",
    "orig = data.copy()\n",
    "\n",
    "# Reproject the data\n",
    "data = data.to_crs(epsg=3035)\n",
    "\n",
    "# Check the new geometry values\n",
    "print(data['geometry'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Make subplots that are next to each other\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(12, 8))\n",
    "\n",
    "# Plot the data in WGS84 CRS\n",
    "orig.plot(ax=ax1, facecolor='gray');\n",
    "\n",
    "# Add title\n",
    "ax1.set_title(\"WGS84\");\n",
    "\n",
    "# Plot the one with ETRS-LAEA projection\n",
    "data.plot(ax=ax2, facecolor='blue');\n",
    "\n",
    "# Add title\n",
    "ax2.set_title(\"ETRS Lambert Azimuthal Equal Area projection\");\n",
    "\n",
    "# Remove empty white space around the plot\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Polygon area at index 0 is: 0.000\n",
      "Polygon area at index 1 is: 0.001\n",
      "Polygon area at index 2 is: 0.004\n",
      "Polygon area at index 3 is: 0.000\n",
      "Polygon area at index 4 is: 0.001\n"
     ]
    }
   ],
   "source": [
    "# Make a selection that contains only the first five rows\n",
    "selection = data[0:5]\n",
    "\n",
    "# Iterate over rows and print the area of a Polygon\n",
    "for index, row in selection.iterrows():\n",
    "    # Get the area of the polygon\n",
    "    poly_area = row['geometry'].area\n",
    "    # Print information for the user\n",
    "    print(\"Polygon area at index {index} is: {area:.3f}\".format(index=index, area=poly_area))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\New folder (2)\\lib\\site-packages\\ipykernel_launcher.py:2: UserWarning: Geometry is in a geographic CRS. Results from 'area' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    0.000341\n",
      "1    0.000886\n",
      "Name: area, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Create a new column called 'area' and assign the area of the Polygons into it\n",
    "data['area'] = data.area\n",
    "\n",
    "# Print first 2 rows of the area column\n",
    "print(data['area'].head(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max area: 464.72\n",
      "Min area: 0.0\n",
      "Mean area: 0.39\n"
     ]
    }
   ],
   "source": [
    "# Maximum area\n",
    "max_area = data['area'].max()\n",
    "\n",
    "# Minimum area\n",
    "min_area = data['area'].min()\n",
    "\n",
    "# Mean area\n",
    "mean_area = data['area'].mean()\n",
    "\n",
    "print(\"Max area: {max}\\nMin area: {min}\\nMean area: {mean}\".format(max=round(max_area, 2), min=round(min_area, 2), mean=round(mean_area, 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty GeoDataFrame\n",
      "Columns: []\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Import necessary modules first\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point, Polygon\n",
    "\n",
    "# Create an empty geopandas GeoDataFrame\n",
    "newdata = gpd.GeoDataFrame()\n",
    "\n",
    "# Let's see what we have at the moment\n",
    "print(newdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty GeoDataFrame\n",
      "Columns: [geometry]\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "# Create a new column called 'geometry' to the GeoDataFrame\n",
    "newdata['geometry'] = None\n",
    "\n",
    "# Let's again see what's inside\n",
    "print(newdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((24.950899 60.169158, 24.953492 60.169158, 24.95351 60.170104, 24.950958 60.16999, 24.950899 60.169158))\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Coordinates of the Helsinki Senate square in Decimal Degrees\n",
    "coordinates = [(24.950899, 60.169158), (24.953492, 60.169158), (24.953510, 60.170104), (24.950958, 60.169990)]\n",
    "\n",
    "# Create a Shapely polygon from the coordinate-tuple list\n",
    "poly = Polygon(coordinates)\n",
    "\n",
    "# Let's see what we have\n",
    "print(poly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                            geometry\n",
      "0  POLYGON ((24.95090 60.16916, 24.95349 60.16916...\n"
     ]
    }
   ],
   "source": [
    "# Insert the polygon into 'geometry' -column at index 0\n",
    "newdata.loc[0, 'geometry'] = poly\n",
    "\n",
    "# Let's see what we have now\n",
    "print(newdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                            geometry      location\n",
      "0  POLYGON ((24.95090 60.16916, 24.95349 60.16916...  Senaatintori\n"
     ]
    }
   ],
   "source": [
    "#Add a new column and insert data\n",
    "newdata.loc[0, 'location'] = ('Senaatintori')\n",
    "\n",
    "# Let's check the data\n",
    "print(newdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+init=epsg:4326 +no_defs +type=crs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\AppData\\Roaming\\Python\\Python37\\site-packages\\pyproj\\crs\\crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  return _prepare_from_string(\" \".join(pjargs))\n"
     ]
    }
   ],
   "source": [
    "# Import specific function 'from_epsg' from fiona module\n",
    "from fiona.crs import from_epsg\n",
    "\n",
    "# Set the GeoDataFrame's coordinate system to WGS84 (i.e. epsg code 4326)\n",
    "newdata.crs = from_epsg(4326)\n",
    "\n",
    "# Let's see how the crs definition looks like\n",
    "print(newdata.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Determine the output path for the Shapefile\n",
    "outfp = \"L2_data/Senaatintori.shp\"\n",
    "\n",
    "# Write the data into that Shapefile\n",
    "newdata.to_file(outfp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.8.0+3.gb5ed1a4'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpd.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pycrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "epsg_code = 3035\n",
    "data.crs = pycrs.parse.from_epsg_code(epsg_code).to_proj4()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+proj=laea +ellps=GRS80 +a=6378137.0 +rf=298.257222101 +towgs84=0,0,0,0,0,0,0 +pm=0 +lon_0=10 +x_0=4321000 +y_0=3210000 +lat_0=52 +units=m +axis=enu +no_defs +type=crs\n"
     ]
    }
   ],
   "source": [
    "print(data.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\AppData\\Roaming\\Python\\Python37\\site-packages\\pyproj\\crs\\crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  return _prepare_from_string(\" \".join(pjargs))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    geometry\n",
      "0  POINT (24.94170 60.16660)\n"
     ]
    }
   ],
   "source": [
    "# Import necessary modules\n",
    "from shapely.geometry import Point\n",
    "import pycrs\n",
    "\n",
    "# Create the point representing Helsinki (in WGS84)\n",
    "hki_lon = 24.9417\n",
    "hki_lat = 60.1666\n",
    "\n",
    "# Create GeoDataFrame\n",
    "helsinki = gpd.GeoDataFrame([[Point(hki_lon, hki_lat)]], geometry='geometry', crs={'init': 'epsg:4326'}, columns=['geometry'])\n",
    "\n",
    "# Print\n",
    "print(helsinki)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nt'"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "environ{'ALLUSERSPROFILE': 'C:\\\\ProgramData',\n",
       "        'APPDATA': 'C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Roaming',\n",
       "        'COMMONPROGRAMFILES': 'C:\\\\Program Files\\\\Common Files',\n",
       "        'COMMONPROGRAMFILES(X86)': 'C:\\\\Program Files (x86)\\\\Common Files',\n",
       "        'COMMONPROGRAMW6432': 'C:\\\\Program Files\\\\Common Files',\n",
       "        'COMPUTERNAME': 'DESKTOP-G9AD7US',\n",
       "        'COMSPEC': 'C:\\\\WINDOWS\\\\system32\\\\cmd.exe',\n",
       "        'CONDA_DEFAULT_ENV': 'base',\n",
       "        'CONDA_EXE': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Scripts\\\\conda.exe',\n",
       "        'CONDA_PREFIX': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)',\n",
       "        'CONDA_PROMPT_MODIFIER': '(base) ',\n",
       "        'CONDA_PYTHON_EXE': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\python.exe',\n",
       "        'CONDA_SHLVL': '1',\n",
       "        'DRIVERDATA': 'C:\\\\Windows\\\\System32\\\\Drivers\\\\DriverData',\n",
       "        'FPS_BROWSER_APP_PROFILE_STRING': 'Internet Explorer',\n",
       "        'FPS_BROWSER_USER_PROFILE_STRING': 'Default',\n",
       "        'HOMEDRIVE': 'C:',\n",
       "        'HOMEPATH': '\\\\Users\\\\Toyin Obasoro',\n",
       "        'LOCALAPPDATA': 'C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Local',\n",
       "        'LOGONSERVER': '\\\\\\\\DESKTOP-G9AD7US',\n",
       "        'NUMBER_OF_PROCESSORS': '4',\n",
       "        'ONEDRIVE': 'C:\\\\Users\\\\Toyin Obasoro\\\\OneDrive',\n",
       "        'ONEDRIVECONSUMER': 'C:\\\\Users\\\\Toyin Obasoro\\\\OneDrive',\n",
       "        'OS': 'Windows_NT',\n",
       "        'PATH': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\lib\\\\site-packages\\\\osgeo;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2);C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\mingw-w64\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\usr\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Scripts;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\condabin;C:\\\\Program Files (x86)\\\\Common Files\\\\Oracle\\\\Java\\\\javapath;C:\\\\ProgramData\\\\DockerDesktop\\\\version-bin;C:\\\\Program Files\\\\Docker\\\\Docker\\\\Resources\\\\bin;C:\\\\WINDOWS\\\\system32;C:\\\\WINDOWS;C:\\\\WINDOWS\\\\System32\\\\Wbem;C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0;C:\\\\Program Files\\\\dotnet;C:\\\\WINDOWS\\\\System32\\\\OpenSSH;C:\\\\Program Files (x86)\\\\GnuWin32\\\\bin;C:\\\\Program Files\\\\nodejs;C:\\\\Program Files (x86)\\\\PuTTY;C:\\\\Program Files\\\\Git\\\\cmd;C:\\\\Program Files\\\\Git\\\\mingw64\\\\bin;C:\\\\Program Files\\\\Git\\\\usr\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2);C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\mingw-w64\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\usr\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Library\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\Scripts;C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Local\\\\Microsoft\\\\WindowsApps;C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Local\\\\Programs\\\\Microsoft VS Code\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Local\\\\Google\\\\Cloud SDK\\\\google-cloud-sdk\\\\bin;C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Roaming\\\\npm;C:\\\\Users\\\\Toyin Obasoro\\\\Anaconda3\\\\Library\\\\bin\\\\gdal_translate.exe',\n",
       "        'PATHEXT': '.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC',\n",
       "        'PROCESSOR_ARCHITECTURE': 'AMD64',\n",
       "        'PROCESSOR_IDENTIFIER': 'Intel64 Family 6 Model 60 Stepping 3, GenuineIntel',\n",
       "        'PROCESSOR_LEVEL': '6',\n",
       "        'PROCESSOR_REVISION': '3c03',\n",
       "        'PROGRAMDATA': 'C:\\\\ProgramData',\n",
       "        'PROGRAMFILES': 'C:\\\\Program Files',\n",
       "        'PROGRAMFILES(X86)': 'C:\\\\Program Files (x86)',\n",
       "        'PROGRAMW6432': 'C:\\\\Program Files',\n",
       "        'PROMPT': '(base) $P$G',\n",
       "        'PSMODULEPATH': ';C:\\\\Users\\\\Toyin Obasoro\\\\AppData\\\\Local\\\\Google\\\\Cloud SDK\\\\google-cloud-sdk\\\\platform\\\\PowerShell',\n",
       "        'PUBLIC': 'C:\\\\Users\\\\Public',\n",
       "        'SESSIONNAME': 'Console',\n",
       "        'SYSTEMDRIVE': 'C:',\n",
       "        'SYSTEMROOT': 'C:\\\\WINDOWS',\n",
       "        'TEMP': 'C:\\\\Users\\\\TOYINO~1\\\\AppData\\\\Local\\\\Temp',\n",
       "        'TMP': 'C:\\\\Users\\\\TOYINO~1\\\\AppData\\\\Local\\\\Temp',\n",
       "        'USERDOMAIN': 'DESKTOP-G9AD7US',\n",
       "        'USERDOMAIN_ROAMINGPROFILE': 'DESKTOP-G9AD7US',\n",
       "        'USERNAME': 'Toyin Obasoro',\n",
       "        'USERPROFILE': 'C:\\\\Users\\\\Toyin Obasoro',\n",
       "        'WINDIR': 'C:\\\\WINDOWS',\n",
       "        'KERNEL_LAUNCH_TIMEOUT': '40',\n",
       "        'JPY_INTERRUPT_EVENT': '3524',\n",
       "        'IPY_INTERRUPT_EVENT': '3524',\n",
       "        'JPY_PARENT_PID': '4084',\n",
       "        'TERM': 'xterm-color',\n",
       "        'CLICOLOR': '1',\n",
       "        'PAGER': 'cat',\n",
       "        'GIT_PAGER': 'cat',\n",
       "        'MPLBACKEND': 'module://ipykernel.pylab.backend_inline',\n",
       "        'GDAL_DATA': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\lib\\\\site-packages\\\\osgeo\\\\data\\\\gdal',\n",
       "        'PROJ_LIB': 'C:\\\\Users\\\\Toyin Obasoro\\\\New folder (2)\\\\lib\\\\site-packages\\\\osgeo\\\\data\\\\proj'}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.environ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with GIS data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import of builtin libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt \n",
    "import folium\n",
    "import os\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.ipynb_checkpoints',\n",
       " 'L2_data',\n",
       " 'L2_data.zip',\n",
       " 'Mapping-Geopython.ipynb',\n",
       " 'Work-Geopython.ipynb']"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to get current working directory\n",
    "os.listdir(os.getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create column names as this comes without headers\n",
    "col_names = ['UserID', 'VenueID', 'VenueCategoryID', 'VenueCategoryName', 'Latitude', 'Longtitude','Timezone', 'UTCtime']\n",
    "data_nyc = pd.read_csv(\"C:\\\\Users\\\\Toyin Obasoro\\\\Geospatial-Data-Science-Quick-Start-Guide\\\\dataset\\\\NYC_Foursquare_2014\\dataset_TSMC2014_NYC.txt\", names=col_names, sep='\\t', encoding = \"ISO-8859-1\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UserID</th>\n",
       "      <th>VenueID</th>\n",
       "      <th>VenueCategoryID</th>\n",
       "      <th>VenueCategoryName</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>UTCtime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>470</td>\n",
       "      <td>49bbd6c0f964a520f4531fe3</td>\n",
       "      <td>4bf58dd8d48988d127951735</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>40.719810</td>\n",
       "      <td>-74.002581</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:00:09 +0000 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>979</td>\n",
       "      <td>4a43c0aef964a520c6a61fe3</td>\n",
       "      <td>4bf58dd8d48988d1df941735</td>\n",
       "      <td>Bridge</td>\n",
       "      <td>40.606800</td>\n",
       "      <td>-74.044170</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:00:25 +0000 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69</td>\n",
       "      <td>4c5cc7b485a1e21e00d35711</td>\n",
       "      <td>4bf58dd8d48988d103941735</td>\n",
       "      <td>Home (private)</td>\n",
       "      <td>40.716162</td>\n",
       "      <td>-73.883070</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:02:24 +0000 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>395</td>\n",
       "      <td>4bc7086715a7ef3bef9878da</td>\n",
       "      <td>4bf58dd8d48988d104941735</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>40.745164</td>\n",
       "      <td>-73.982519</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:02:41 +0000 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>87</td>\n",
       "      <td>4cf2c5321d18a143951b5cec</td>\n",
       "      <td>4bf58dd8d48988d1cb941735</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>40.740104</td>\n",
       "      <td>-73.989658</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:03:00 +0000 2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   UserID                   VenueID           VenueCategoryID  \\\n",
       "0     470  49bbd6c0f964a520f4531fe3  4bf58dd8d48988d127951735   \n",
       "1     979  4a43c0aef964a520c6a61fe3  4bf58dd8d48988d1df941735   \n",
       "2      69  4c5cc7b485a1e21e00d35711  4bf58dd8d48988d103941735   \n",
       "3     395  4bc7086715a7ef3bef9878da  4bf58dd8d48988d104941735   \n",
       "4      87  4cf2c5321d18a143951b5cec  4bf58dd8d48988d1cb941735   \n",
       "\n",
       "     VenueCategoryName   Latitude  Longtitude  Timezone  \\\n",
       "0  Arts & Crafts Store  40.719810  -74.002581      -240   \n",
       "1               Bridge  40.606800  -74.044170      -240   \n",
       "2       Home (private)  40.716162  -73.883070      -240   \n",
       "3       Medical Center  40.745164  -73.982519      -240   \n",
       "4           Food Truck  40.740104  -73.989658      -240   \n",
       "\n",
       "                          UTCtime  \n",
       "0  Tue Apr 03 18:00:09 +0000 2012  \n",
       "1  Tue Apr 03 18:00:25 +0000 2012  \n",
       "2  Tue Apr 03 18:02:24 +0000 2012  \n",
       "3  Tue Apr 03 18:02:41 +0000 2012  \n",
       "4  Tue Apr 03 18:03:00 +0000 2012  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_nyc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Shape of the data: (227428, 8)\n"
     ]
    }
   ],
   "source": [
    "print('The Shape of the data:', data_nyc.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Converting to Geopgraphic Unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the geometry as a new feature\n",
    "geometry = [Point(xy) for xy in zip(data_nyc['Longtitude'], data_nyc['Latitude'])]\n",
    "\n",
    "# Create crs dictionary\n",
    "crs = {'init': 'epsg:4326'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\AppData\\Roaming\\Python\\Python37\\site-packages\\pyproj\\crs\\crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  return _prepare_from_string(\" \".join(pjargs))\n"
     ]
    },
    {
     "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>UserID</th>\n",
       "      <th>VenueID</th>\n",
       "      <th>VenueCategoryID</th>\n",
       "      <th>VenueCategoryName</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>UTCtime</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>470</td>\n",
       "      <td>49bbd6c0f964a520f4531fe3</td>\n",
       "      <td>4bf58dd8d48988d127951735</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>40.719810</td>\n",
       "      <td>-74.002581</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:00:09 +0000 2012</td>\n",
       "      <td>POINT (-74.00258 40.71981)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>979</td>\n",
       "      <td>4a43c0aef964a520c6a61fe3</td>\n",
       "      <td>4bf58dd8d48988d1df941735</td>\n",
       "      <td>Bridge</td>\n",
       "      <td>40.606800</td>\n",
       "      <td>-74.044170</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:00:25 +0000 2012</td>\n",
       "      <td>POINT (-74.04417 40.60680)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69</td>\n",
       "      <td>4c5cc7b485a1e21e00d35711</td>\n",
       "      <td>4bf58dd8d48988d103941735</td>\n",
       "      <td>Home (private)</td>\n",
       "      <td>40.716162</td>\n",
       "      <td>-73.883070</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:02:24 +0000 2012</td>\n",
       "      <td>POINT (-73.88307 40.71616)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>395</td>\n",
       "      <td>4bc7086715a7ef3bef9878da</td>\n",
       "      <td>4bf58dd8d48988d104941735</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>40.745164</td>\n",
       "      <td>-73.982519</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:02:41 +0000 2012</td>\n",
       "      <td>POINT (-73.98252 40.74516)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>87</td>\n",
       "      <td>4cf2c5321d18a143951b5cec</td>\n",
       "      <td>4bf58dd8d48988d1cb941735</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>40.740104</td>\n",
       "      <td>-73.989658</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:03:00 +0000 2012</td>\n",
       "      <td>POINT (-73.98966 40.74010)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   UserID                   VenueID           VenueCategoryID  \\\n",
       "0     470  49bbd6c0f964a520f4531fe3  4bf58dd8d48988d127951735   \n",
       "1     979  4a43c0aef964a520c6a61fe3  4bf58dd8d48988d1df941735   \n",
       "2      69  4c5cc7b485a1e21e00d35711  4bf58dd8d48988d103941735   \n",
       "3     395  4bc7086715a7ef3bef9878da  4bf58dd8d48988d104941735   \n",
       "4      87  4cf2c5321d18a143951b5cec  4bf58dd8d48988d1cb941735   \n",
       "\n",
       "     VenueCategoryName   Latitude  Longtitude  Timezone  \\\n",
       "0  Arts & Crafts Store  40.719810  -74.002581      -240   \n",
       "1               Bridge  40.606800  -74.044170      -240   \n",
       "2       Home (private)  40.716162  -73.883070      -240   \n",
       "3       Medical Center  40.745164  -73.982519      -240   \n",
       "4           Food Truck  40.740104  -73.989658      -240   \n",
       "\n",
       "                          UTCtime                    geometry  \n",
       "0  Tue Apr 03 18:00:09 +0000 2012  POINT (-74.00258 40.71981)  \n",
       "1  Tue Apr 03 18:00:25 +0000 2012  POINT (-74.04417 40.60680)  \n",
       "2  Tue Apr 03 18:02:24 +0000 2012  POINT (-73.88307 40.71616)  \n",
       "3  Tue Apr 03 18:02:41 +0000 2012  POINT (-73.98252 40.74516)  \n",
       "4  Tue Apr 03 18:03:00 +0000 2012  POINT (-73.98966 40.74010)  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_gdf = gpd.GeoDataFrame(data_nyc, crs=crs, geometry=geometry)\n",
    "data_gdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the data set\n",
    "data_gdf.geometry.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "#  Create a new column called 'area' and assign the area of the Polygons into it\n",
    "#data_nyc['area'] = data_nyc.area\n",
    "\n",
    "# Print first 2 rows of the area column\n",
    "#print(data_nyc['area'].head(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# User Define Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UserID</th>\n",
       "      <th>VenueID</th>\n",
       "      <th>VenueCategoryID</th>\n",
       "      <th>VenueCategoryName</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>UTCtime</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>395</td>\n",
       "      <td>4bc7086715a7ef3bef9878da</td>\n",
       "      <td>4bf58dd8d48988d104941735</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>40.745164</td>\n",
       "      <td>-73.982519</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 18:02:41 +0000 2012</td>\n",
       "      <td>POINT (-73.98252 40.74516)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7820</th>\n",
       "      <td>395</td>\n",
       "      <td>4b607313f964a5209be629e3</td>\n",
       "      <td>4bf58dd8d48988d176941735</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>40.748005</td>\n",
       "      <td>-74.008627</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 10 02:14:21 +0000 2012</td>\n",
       "      <td>POINT (-74.00863 40.74800)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15980</th>\n",
       "      <td>395</td>\n",
       "      <td>4a72e5fef964a52050db1fe3</td>\n",
       "      <td>4bf58dd8d48988d176941735</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>40.746326</td>\n",
       "      <td>-74.008624</td>\n",
       "      <td>-240</td>\n",
       "      <td>Sat Apr 14 17:59:13 +0000 2012</td>\n",
       "      <td>POINT (-74.00862 40.74633)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17162</th>\n",
       "      <td>395</td>\n",
       "      <td>4c7447221b30a093c93fec09</td>\n",
       "      <td>4bf58dd8d48988d16d941735</td>\n",
       "      <td>Café</td>\n",
       "      <td>40.643021</td>\n",
       "      <td>-73.977502</td>\n",
       "      <td>-240</td>\n",
       "      <td>Sun Apr 15 02:09:25 +0000 2012</td>\n",
       "      <td>POINT (-73.97750 40.64302)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17866</th>\n",
       "      <td>395</td>\n",
       "      <td>4d716e7f1c01b60c219214c7</td>\n",
       "      <td>4bf58dd8d48988d10c951735</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>40.762617</td>\n",
       "      <td>-73.993360</td>\n",
       "      <td>-240</td>\n",
       "      <td>Sun Apr 15 16:12:55 +0000 2012</td>\n",
       "      <td>POINT (-73.99336 40.76262)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       UserID                   VenueID           VenueCategoryID  \\\n",
       "3         395  4bc7086715a7ef3bef9878da  4bf58dd8d48988d104941735   \n",
       "7820      395  4b607313f964a5209be629e3  4bf58dd8d48988d176941735   \n",
       "15980     395  4a72e5fef964a52050db1fe3  4bf58dd8d48988d176941735   \n",
       "17162     395  4c7447221b30a093c93fec09  4bf58dd8d48988d16d941735   \n",
       "17866     395  4d716e7f1c01b60c219214c7  4bf58dd8d48988d10c951735   \n",
       "\n",
       "          VenueCategoryName   Latitude  Longtitude  Timezone  \\\n",
       "3            Medical Center  40.745164  -73.982519      -240   \n",
       "7820   Gym / Fitness Center  40.748005  -74.008627      -240   \n",
       "15980  Gym / Fitness Center  40.746326  -74.008624      -240   \n",
       "17162                  Café  40.643021  -73.977502      -240   \n",
       "17866        Cosmetics Shop  40.762617  -73.993360      -240   \n",
       "\n",
       "                              UTCtime                    geometry  \n",
       "3      Tue Apr 03 18:02:41 +0000 2012  POINT (-73.98252 40.74516)  \n",
       "7820   Tue Apr 10 02:14:21 +0000 2012  POINT (-74.00863 40.74800)  \n",
       "15980  Sat Apr 14 17:59:13 +0000 2012  POINT (-74.00862 40.74633)  \n",
       "17162  Sun Apr 15 02:09:25 +0000 2012  POINT (-73.97750 40.64302)  \n",
       "17866  Sun Apr 15 16:12:55 +0000 2012  POINT (-73.99336 40.76262)  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user395 = data_gdf[data_gdf['UserID'] == 395]\n",
    "user395.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(106, 9)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user395.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user395['VenueCategoryID'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "Int64Index: 106 entries, 3 to 226302\n",
      "Data columns (total 9 columns):\n",
      " #   Column             Non-Null Count  Dtype   \n",
      "---  ------             --------------  -----   \n",
      " 0   UserID             106 non-null    int64   \n",
      " 1   VenueID            106 non-null    object  \n",
      " 2   VenueCategoryID    106 non-null    object  \n",
      " 3   VenueCategoryName  106 non-null    object  \n",
      " 4   Latitude           106 non-null    float64 \n",
      " 5   Longtitude         106 non-null    float64 \n",
      " 6   Timezone           106 non-null    int64   \n",
      " 7   UTCtime            106 non-null    object  \n",
      " 8   geometry           106 non-null    geometry\n",
      "dtypes: float64(2), geometry(1), int64(2), object(4)\n",
      "memory usage: 8.3+ KB\n"
     ]
    }
   ],
   "source": [
    "user395.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
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[-74.00021673078399, 40.7615269692805, -74.00021673078399, 40.7615269692805], "geometry": {"coordinates": [-74.00021673078399, 40.7615269692805], "type": "Point"}, "id": "216588", "properties": {"Latitude": 40.7615269692805, "Longtitude": -74.00021673078399, "Timezone": -300, "UTCtime": "Sat Jan 26 13:15:58 +0000 2013", "UserID": 395, "VenueCategoryID": "4d954b06a243a5684965b473", "VenueCategoryName": "Residential Building (Apartment / Condo)", "VenueID": "4f1b3a3de4b0889e0519b1ed"}, "type": "Feature"}, {"bbox": [-74.00063278107605, 40.7625386814685, -74.00063278107605, 40.7625386814685], "geometry": {"coordinates": [-74.00063278107605, 40.7625386814685], "type": "Point"}, "id": "221354", "properties": {"Latitude": 40.7625386814685, "Longtitude": -74.00063278107605, "Timezone": -300, "UTCtime": "Sun Feb 03 00:50:23 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d103941735", "VenueCategoryName": "Home (private)", "VenueID": "4e8525384901f82ea5a514e9"}, "type": "Feature"}, {"bbox": [-73.97859808949039, 40.758732719752736, -73.97859808949039, 40.758732719752736], "geometry": {"coordinates": [-73.97859808949039, 40.758732719752736], "type": "Point"}, "id": "222632", "properties": {"Latitude": 40.758732719752736, "Longtitude": -73.97859808949039, "Timezone": -300, "UTCtime": "Tue Feb 05 13:36:51 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d164941735", "VenueCategoryName": "Plaza", "VenueID": "49b79f54f964a5202c531fe3"}, "type": "Feature"}, {"bbox": [-73.9902427306349, 40.745868414644185, -73.9902427306349, 40.745868414644185], "geometry": {"coordinates": [-73.9902427306349, 40.745868414644185], "type": "Point"}, "id": "222681", "properties": {"Latitude": 40.745868414644185, "Longtitude": -73.9902427306349, "Timezone": -300, "UTCtime": "Tue Feb 05 15:19:56 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d125941735", "VenueCategoryName": "Office", "VenueID": "506efc95e4b03cb917e5cf74"}, "type": "Feature"}, {"bbox": [-74.0088531755274, 40.746504740958365, -74.0088531755274, 40.746504740958365], "geometry": {"coordinates": [-74.0088531755274, 40.746504740958365], "type": "Point"}, "id": "225209", "properties": {"Latitude": 40.746504740958365, "Longtitude": -74.0088531755274, "Timezone": -300, "UTCtime": "Mon Feb 11 11:47:54 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d176941735", "VenueCategoryName": "Gym / Fitness Center", "VenueID": "4a72e5fef964a52050db1fe3"}, "type": "Feature"}, {"bbox": [-73.9902427306349, 40.745868414644185, -73.9902427306349, 40.745868414644185], "geometry": {"coordinates": [-73.9902427306349, 40.745868414644185], "type": "Point"}, "id": "225561", "properties": {"Latitude": 40.745868414644185, "Longtitude": -73.9902427306349, "Timezone": -300, "UTCtime": "Mon Feb 11 22:25:25 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d125941735", "VenueCategoryName": "Office", "VenueID": "506efc95e4b03cb917e5cf74"}, "type": "Feature"}, {"bbox": [-73.9902427306349, 40.745868414644185, -73.9902427306349, 40.745868414644185], "geometry": {"coordinates": [-73.9902427306349, 40.745868414644185], "type": "Point"}, "id": "226302", "properties": {"Latitude": 40.745868414644185, "Longtitude": -73.9902427306349, "Timezone": -300, "UTCtime": "Tue Feb 12 23:51:09 +0000 2013", "UserID": 395, "VenueCategoryID": "4bf58dd8d48988d125941735", "VenueCategoryName": "Office", "VenueID": "506efc95e4b03cb917e5cf74"}, "type": "Feature"}], "type": "FeatureCollection"});
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x245156b4d88>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kunle_map = folium.Map(location = [40.71981037548853, -74.00258103213994],\n",
    "    tiles='Stamen Toner',\n",
    "    zoom_start = 15)\n",
    "folium.GeoJson(user395).add_to(kunle_map)\n",
    "kunle_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using matplotlib for visualization\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "plot = sns.countplot(y = 'VenueCategoryName', \n",
    "                     color='grey',\n",
    "              order = user395['VenueCategoryName'].value_counts().index,\n",
    "              data=user395, ax=ax)\n",
    "\n",
    "plot.figure.savefig('user395.png')\n",
    "\n",
    "plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42911d00f964a520f5231fe3    1147\n",
       "42829c80f964a5206a221fe3     874\n",
       "43a52546f964a520532c1fe3     687\n",
       "4840fe6bf964a52030501fe3     562\n",
       "4ace6c89f964a52078d020e3     561\n",
       "                            ... \n",
       "4c93c85cefecb713f875da9d       1\n",
       "4bd3c988caff952174ced5f0       1\n",
       "4c041246187ec928218bb67b       1\n",
       "4a009599f964a52096701fe3       1\n",
       "4bc34714f8219c7478d3b510       1\n",
       "Name: VenueID, Length: 38333, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_gdf['VenueID'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UserID</th>\n",
       "      <th>VenueID</th>\n",
       "      <th>VenueCategoryID</th>\n",
       "      <th>VenueCategoryName</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>UTCtime</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>208</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 23:03:23 +0000 2012</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>619</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>Tue Apr 03 23:04:11 +0000 2012</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>492</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>Wed Apr 04 00:33:31 +0000 2012</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>1074</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>Wed Apr 04 09:45:06 +0000 2012</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>1021</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>Wed Apr 04 10:38:11 +0000 2012</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      UserID                   VenueID           VenueCategoryID  \\\n",
       "554      208  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "556      619  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "786      492  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "1237    1074  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "1264    1021  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "\n",
       "     VenueCategoryName   Latitude  Longtitude  Timezone  \\\n",
       "554      Train Station  40.750795  -73.993576      -240   \n",
       "556      Train Station  40.750795  -73.993576      -240   \n",
       "786      Train Station  40.750795  -73.993576      -240   \n",
       "1237     Train Station  40.750795  -73.993576      -240   \n",
       "1264     Train Station  40.750795  -73.993576      -240   \n",
       "\n",
       "                             UTCtime                    geometry  \n",
       "554   Tue Apr 03 23:03:23 +0000 2012  POINT (-73.99358 40.75079)  \n",
       "556   Tue Apr 03 23:04:11 +0000 2012  POINT (-73.99358 40.75079)  \n",
       "786   Wed Apr 04 00:33:31 +0000 2012  POINT (-73.99358 40.75079)  \n",
       "1237  Wed Apr 04 09:45:06 +0000 2012  POINT (-73.99358 40.75079)  \n",
       "1264  Wed Apr 04 10:38:11 +0000 2012  POINT (-73.99358 40.75079)  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#venueID = '4aca718ff964a520f6c120e3' \n",
    "venueID = '42911d00f964a520f5231fe3'\n",
    "train_station = data_gdf[data_nyc['VenueID'] == venueID]\n",
    "train_station.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1147, 9)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_station.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,10))\n",
    "plot = sns.countplot(x = 'UTCtime', \n",
    "              #order = gym['hours'].value_counts().index,\n",
    "              data=train_station, ax=ax)\n",
    "plot.figure.savefig('train_station.png')\n",
    "\n",
    "plot;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\New folder (2)\\lib\\site-packages\\geopandas\\geodataframe.py:831: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super(GeoDataFrame, self).__setitem__(key, value)\n"
     ]
    }
   ],
   "source": [
    "train_station['UTCtime'] = pd.to_datetime(train_station['UTCtime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Toyin Obasoro\\New folder (2)\\lib\\site-packages\\geopandas\\geodataframe.py:831: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super(GeoDataFrame, self).__setitem__(key, value)\n"
     ]
    }
   ],
   "source": [
    "train_station['hour'] = train_station['UTCtime'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UserID</th>\n",
       "      <th>VenueID</th>\n",
       "      <th>VenueCategoryID</th>\n",
       "      <th>VenueCategoryName</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Timezone</th>\n",
       "      <th>UTCtime</th>\n",
       "      <th>geometry</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>208</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>2012-04-03 23:03:23+00:00</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>619</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>2012-04-03 23:04:11+00:00</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>492</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>2012-04-04 00:33:31+00:00</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>1074</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>2012-04-04 09:45:06+00:00</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>1021</td>\n",
       "      <td>42911d00f964a520f5231fe3</td>\n",
       "      <td>4bf58dd8d48988d129951735</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>40.750795</td>\n",
       "      <td>-73.993576</td>\n",
       "      <td>-240</td>\n",
       "      <td>2012-04-04 10:38:11+00:00</td>\n",
       "      <td>POINT (-73.99358 40.75079)</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      UserID                   VenueID           VenueCategoryID  \\\n",
       "554      208  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "556      619  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "786      492  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "1237    1074  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "1264    1021  42911d00f964a520f5231fe3  4bf58dd8d48988d129951735   \n",
       "\n",
       "     VenueCategoryName   Latitude  Longtitude  Timezone  \\\n",
       "554      Train Station  40.750795  -73.993576      -240   \n",
       "556      Train Station  40.750795  -73.993576      -240   \n",
       "786      Train Station  40.750795  -73.993576      -240   \n",
       "1237     Train Station  40.750795  -73.993576      -240   \n",
       "1264     Train Station  40.750795  -73.993576      -240   \n",
       "\n",
       "                       UTCtime                    geometry  hour  \n",
       "554  2012-04-03 23:03:23+00:00  POINT (-73.99358 40.75079)    23  \n",
       "556  2012-04-03 23:04:11+00:00  POINT (-73.99358 40.75079)    23  \n",
       "786  2012-04-04 00:33:31+00:00  POINT (-73.99358 40.75079)     0  \n",
       "1237 2012-04-04 09:45:06+00:00  POINT (-73.99358 40.75079)     9  \n",
       "1264 2012-04-04 10:38:11+00:00  POINT (-73.99358 40.75079)    10  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_station.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "plot = sns.countplot(x = 'hour', \n",
    "              #order = gym['hours'].value_counts().index,\n",
    "              data=train_station, ax=ax)\n",
    "plot.figure.savefig('train_station.png')\n",
    "\n",
    "plot;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization of Data analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above graph, most train stations have heavy traffic at noon and late in the evening. This may be due to closing period and break time for most worker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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