From e37c5f5cf227e48ac559d83405731ad877146954 Mon Sep 17 00:00:00 2001
From: ni1o1 <53589767+ni1o1@users.noreply.github.com>
Date: Wed, 28 Jun 2023 09:04:18 +0800
Subject: [PATCH] Update Example 6-Mobile phone data processing.ipynb

---
 ...ample 6-Mobile phone data processing.ipynb | 338 +++++++++---------
 1 file changed, 174 insertions(+), 164 deletions(-)

diff --git a/docs/source/gallery/Example 6-Mobile phone data processing.ipynb b/docs/source/gallery/Example 6-Mobile phone data processing.ipynb
index 5caa8f7..4f98499 100644
--- a/docs/source/gallery/Example 6-Mobile phone data processing.ipynb	
+++ b/docs/source/gallery/Example 6-Mobile phone data processing.ipynb	
@@ -96,8 +96,8 @@
        "</div>"
       ],
       "text/plain": [
-       "                                user_id               stime  longitude  \\\n",
-       "78668  00466ab30de56db7efbd04991b680ae1 2018-06-01 00:00:00     121.43   \n",
+       "                                user_id               stime  longitude   \n",
+       "78668  00466ab30de56db7efbd04991b680ae1 2018-06-01 00:00:00     121.43  \\\n",
        "78669  00466ab30de56db7efbd04991b680ae1 2018-06-01 03:35:00     121.43   \n",
        "78670  00466ab30de56db7efbd04991b680ae1 2018-06-01 04:25:00     121.43   \n",
        "78671  00466ab30de56db7efbd04991b680ae1 2018-06-01 05:15:00     121.43   \n",
@@ -145,19 +145,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Obtain gridding parameters\n",
     "params = tbd.area_to_params([121.860, 29.295, 121.862, 29.301], accuracy=500)\n",
     "#Identify stay and move infomation from mobile phone trajectory data\n",
-    "stay,move = tbd.mobile_stay_move(data,params,col = ['user_id','stime','longitude', 'latitude'])"
+    "stay,move = tbd.traj_stay_move(data,params,col = ['user_id','stime','longitude', 'latitude'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -189,85 +189,91 @@
        "      <th>lon</th>\n",
        "      <th>lat</th>\n",
        "      <th>duration</th>\n",
+       "      <th>stayid</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <th>78668</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>2018-06-01 00:00:00</td>\n",
        "      <td>-83</td>\n",
        "      <td>196</td>\n",
        "      <td>2018-06-01 07:21:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
        "      <td>26460.0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>78303</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>2018-06-01 07:36:00</td>\n",
        "      <td>-81</td>\n",
        "      <td>191</td>\n",
+       "      <td>2018-06-01 10:38:00</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
+       "      <td>10920.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78364</th>\n",
+       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
+       "      <td>2018-06-01 10:38:00</td>\n",
+       "      <td>-81</td>\n",
+       "      <td>191</td>\n",
        "      <td>2018-06-01 12:02:00</td>\n",
-       "      <td>121.442352</td>\n",
-       "      <td>30.153852</td>\n",
-       "      <td>15960.0</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
+       "      <td>5040.0</td>\n",
+       "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>78399</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>2018-06-01 12:20:00</td>\n",
        "      <td>-83</td>\n",
        "      <td>196</td>\n",
        "      <td>2018-06-01 13:04:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
        "      <td>2640.0</td>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>78471</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>2018-06-01 14:34:00</td>\n",
        "      <td>-60</td>\n",
        "      <td>189</td>\n",
-       "      <td>2018-06-01 23:12:00</td>\n",
-       "      <td>121.550631</td>\n",
-       "      <td>30.144858</td>\n",
-       "      <td>31080.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
-       "      <td>2018-06-02 00:02:00</td>\n",
-       "      <td>-83</td>\n",
-       "      <td>196</td>\n",
-       "      <td>2018-06-02 09:36:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
-       "      <td>34440.0</td>\n",
+       "      <td>2018-06-01 16:06:00</td>\n",
+       "      <td>121.551</td>\n",
+       "      <td>30.143</td>\n",
+       "      <td>5520.0</td>\n",
+       "      <td>4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                            user_id               stime  LONCOL  LATCOL  \\\n",
-       "0  00466ab30de56db7efbd04991b680ae1 2018-06-01 00:00:00     -83     196   \n",
-       "1  00466ab30de56db7efbd04991b680ae1 2018-06-01 07:36:00     -81     191   \n",
-       "2  00466ab30de56db7efbd04991b680ae1 2018-06-01 12:20:00     -83     196   \n",
-       "3  00466ab30de56db7efbd04991b680ae1 2018-06-01 14:34:00     -60     189   \n",
-       "4  00466ab30de56db7efbd04991b680ae1 2018-06-02 00:02:00     -83     196   \n",
+       "                                user_id               stime  LONCOL  LATCOL   \n",
+       "78668  00466ab30de56db7efbd04991b680ae1 2018-06-01 00:00:00     -83     196  \\\n",
+       "78303  00466ab30de56db7efbd04991b680ae1 2018-06-01 07:36:00     -81     191   \n",
+       "78364  00466ab30de56db7efbd04991b680ae1 2018-06-01 10:38:00     -81     191   \n",
+       "78399  00466ab30de56db7efbd04991b680ae1 2018-06-01 12:20:00     -83     196   \n",
+       "78471  00466ab30de56db7efbd04991b680ae1 2018-06-01 14:34:00     -60     189   \n",
        "\n",
-       "                etime         lon        lat  duration  \n",
-       "0 2018-06-01 07:21:00  121.432040  30.176335   26460.0  \n",
-       "1 2018-06-01 12:02:00  121.442352  30.153852   15960.0  \n",
-       "2 2018-06-01 13:04:00  121.432040  30.176335    2640.0  \n",
-       "3 2018-06-01 23:12:00  121.550631  30.144858   31080.0  \n",
-       "4 2018-06-02 09:36:00  121.432040  30.176335   34440.0  "
+       "                    etime      lon     lat  duration  stayid  \n",
+       "78668 2018-06-01 07:21:00  121.430  30.175   26460.0       0  \n",
+       "78303 2018-06-01 10:38:00  121.444  30.152   10920.0       1  \n",
+       "78364 2018-06-01 12:02:00  121.444  30.152    5040.0       2  \n",
+       "78399 2018-06-01 13:04:00  121.430  30.175    2640.0       3  \n",
+       "78471 2018-06-01 16:06:00  121.551  30.143    5520.0       4  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -278,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -314,112 +320,118 @@
        "      <th>ELONCOL</th>\n",
        "      <th>ELATCOL</th>\n",
        "      <th>duration</th>\n",
+       "      <th>moveid</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <th>78668</th>\n",
+       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
+       "      <td>-83</td>\n",
+       "      <td>196</td>\n",
+       "      <td>2018-06-01 00:00:00</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
+       "      <td>2018-06-01 00:00:00</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
+       "      <td>-83.0</td>\n",
+       "      <td>196.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78668</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>-83</td>\n",
        "      <td>196</td>\n",
        "      <td>2018-06-01 07:21:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
        "      <td>2018-06-01 07:36:00</td>\n",
-       "      <td>121.442352</td>\n",
-       "      <td>30.153852</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
        "      <td>-81.0</td>\n",
        "      <td>191.0</td>\n",
        "      <td>900.0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>78303</th>\n",
+       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
+       "      <td>-81</td>\n",
+       "      <td>191</td>\n",
+       "      <td>2018-06-01 10:38:00</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
+       "      <td>2018-06-01 10:38:00</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
+       "      <td>-81.0</td>\n",
+       "      <td>191.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78364</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>-81</td>\n",
        "      <td>191</td>\n",
        "      <td>2018-06-01 12:02:00</td>\n",
-       "      <td>121.442352</td>\n",
-       "      <td>30.153852</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>30.152</td>\n",
        "      <td>2018-06-01 12:20:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
        "      <td>-83.0</td>\n",
        "      <td>196.0</td>\n",
        "      <td>1080.0</td>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>78399</th>\n",
        "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
        "      <td>-83</td>\n",
        "      <td>196</td>\n",
        "      <td>2018-06-01 13:04:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
+       "      <td>121.430</td>\n",
+       "      <td>30.175</td>\n",
        "      <td>2018-06-01 14:34:00</td>\n",
-       "      <td>121.550631</td>\n",
-       "      <td>30.144858</td>\n",
+       "      <td>121.551</td>\n",
+       "      <td>30.143</td>\n",
        "      <td>-60.0</td>\n",
        "      <td>189.0</td>\n",
        "      <td>5400.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
-       "      <td>-60</td>\n",
-       "      <td>189</td>\n",
-       "      <td>2018-06-01 23:12:00</td>\n",
-       "      <td>121.550631</td>\n",
-       "      <td>30.144858</td>\n",
-       "      <td>2018-06-02 00:02:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
-       "      <td>-83.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>3000.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>00466ab30de56db7efbd04991b680ae1</td>\n",
-       "      <td>-83</td>\n",
-       "      <td>196</td>\n",
-       "      <td>2018-06-02 09:36:00</td>\n",
-       "      <td>121.432040</td>\n",
-       "      <td>30.176335</td>\n",
-       "      <td>2018-06-02 10:56:00</td>\n",
-       "      <td>121.406259</td>\n",
-       "      <td>30.176335</td>\n",
-       "      <td>-88.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>4800.0</td>\n",
+       "      <td>4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                            user_id  SLONCOL  SLATCOL               stime  \\\n",
-       "0  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-01 07:21:00   \n",
-       "1  00466ab30de56db7efbd04991b680ae1      -81      191 2018-06-01 12:02:00   \n",
-       "2  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-01 13:04:00   \n",
-       "3  00466ab30de56db7efbd04991b680ae1      -60      189 2018-06-01 23:12:00   \n",
-       "4  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-02 09:36:00   \n",
+       "                                user_id  SLONCOL  SLATCOL               stime   \n",
+       "78668  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-01 00:00:00  \\\n",
+       "78668  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-01 07:21:00   \n",
+       "78303  00466ab30de56db7efbd04991b680ae1      -81      191 2018-06-01 10:38:00   \n",
+       "78364  00466ab30de56db7efbd04991b680ae1      -81      191 2018-06-01 12:02:00   \n",
+       "78399  00466ab30de56db7efbd04991b680ae1      -83      196 2018-06-01 13:04:00   \n",
        "\n",
-       "         slon       slat               etime        elon       elat  ELONCOL  \\\n",
-       "0  121.432040  30.176335 2018-06-01 07:36:00  121.442352  30.153852    -81.0   \n",
-       "1  121.442352  30.153852 2018-06-01 12:20:00  121.432040  30.176335    -83.0   \n",
-       "2  121.432040  30.176335 2018-06-01 14:34:00  121.550631  30.144858    -60.0   \n",
-       "3  121.550631  30.144858 2018-06-02 00:02:00  121.432040  30.176335    -83.0   \n",
-       "4  121.432040  30.176335 2018-06-02 10:56:00  121.406259  30.176335    -88.0   \n",
+       "          slon    slat               etime     elon    elat  ELONCOL  ELATCOL   \n",
+       "78668  121.430  30.175 2018-06-01 00:00:00  121.430  30.175    -83.0    196.0  \\\n",
+       "78668  121.430  30.175 2018-06-01 07:36:00  121.444  30.152    -81.0    191.0   \n",
+       "78303  121.444  30.152 2018-06-01 10:38:00  121.444  30.152    -81.0    191.0   \n",
+       "78364  121.444  30.152 2018-06-01 12:20:00  121.430  30.175    -83.0    196.0   \n",
+       "78399  121.430  30.175 2018-06-01 14:34:00  121.551  30.143    -60.0    189.0   \n",
        "\n",
-       "   ELATCOL  duration  \n",
-       "0    191.0     900.0  \n",
-       "1    196.0    1080.0  \n",
-       "2    189.0    5400.0  \n",
-       "3    196.0    3000.0  \n",
-       "4    196.0    4800.0  "
+       "       duration  moveid  \n",
+       "78668       0.0       0  \n",
+       "78668     900.0       1  \n",
+       "78303       0.0       2  \n",
+       "78364    1080.0       3  \n",
+       "78399    5400.0       4  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -438,7 +450,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -471,59 +483,59 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1781</th>\n",
+       "      <th>2036</th>\n",
        "      <td>fcc3a9e9df361667e00ee5c16cb08922</td>\n",
        "      <td>-147</td>\n",
        "      <td>292</td>\n",
-       "      <td>121.102046</td>\n",
-       "      <td>30.608009</td>\n",
+       "      <td>121.103</td>\n",
+       "      <td>30.610</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1769</th>\n",
+       "      <th>2019</th>\n",
        "      <td>f71e9d7d78e6f5bc9539d141e3a5a1c4</td>\n",
        "      <td>-216</td>\n",
        "      <td>330</td>\n",
-       "      <td>120.746272</td>\n",
-       "      <td>30.778880</td>\n",
+       "      <td>120.745</td>\n",
+       "      <td>30.778</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1752</th>\n",
+       "      <th>2001</th>\n",
        "      <td>f6b65495b63574c2eb73c7e63ae38252</td>\n",
        "      <td>-225</td>\n",
        "      <td>-286</td>\n",
-       "      <td>120.699867</td>\n",
-       "      <td>28.008971</td>\n",
+       "      <td>120.699</td>\n",
+       "      <td>28.011</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1739</th>\n",
+       "      <th>1982</th>\n",
        "      <td>f1f4224a60da630a0b83b3a231022123</td>\n",
        "      <td>102</td>\n",
        "      <td>157</td>\n",
-       "      <td>122.385927</td>\n",
-       "      <td>30.000967</td>\n",
+       "      <td>122.387</td>\n",
+       "      <td>30.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1700</th>\n",
+       "      <th>1942</th>\n",
        "      <td>e96739aedb70a8e5c4efe4c488934b43</td>\n",
        "      <td>-223</td>\n",
        "      <td>278</td>\n",
-       "      <td>120.710179</td>\n",
-       "      <td>30.545056</td>\n",
+       "      <td>120.708</td>\n",
+       "      <td>30.546</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                               user_id  LONCOL  LATCOL         lon        lat\n",
-       "1781  fcc3a9e9df361667e00ee5c16cb08922    -147     292  121.102046  30.608009\n",
-       "1769  f71e9d7d78e6f5bc9539d141e3a5a1c4    -216     330  120.746272  30.778880\n",
-       "1752  f6b65495b63574c2eb73c7e63ae38252    -225    -286  120.699867  28.008971\n",
-       "1739  f1f4224a60da630a0b83b3a231022123     102     157  122.385927  30.000967\n",
-       "1700  e96739aedb70a8e5c4efe4c488934b43    -223     278  120.710179  30.545056"
+       "                               user_id  LONCOL  LATCOL      lon     lat\n",
+       "2036  fcc3a9e9df361667e00ee5c16cb08922    -147     292  121.103  30.610\n",
+       "2019  f71e9d7d78e6f5bc9539d141e3a5a1c4    -216     330  120.745  30.778\n",
+       "2001  f6b65495b63574c2eb73c7e63ae38252    -225    -286  120.699  28.011\n",
+       "1982  f1f4224a60da630a0b83b3a231022123     102     157  122.387  30.000\n",
+       "1942  e96739aedb70a8e5c4efe4c488934b43    -223     278  120.708  30.546"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -536,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -571,57 +583,57 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>fcc3a9e9df361667e00ee5c16cb08922</td>\n",
-       "      <td>-146</td>\n",
+       "      <td>-148</td>\n",
        "      <td>292</td>\n",
-       "      <td>121.107203</td>\n",
-       "      <td>30.608009</td>\n",
+       "      <td>121.097</td>\n",
+       "      <td>30.610</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>f71e9d7d78e6f5bc9539d141e3a5a1c4</td>\n",
        "      <td>-219</td>\n",
        "      <td>325</td>\n",
-       "      <td>120.730804</td>\n",
-       "      <td>30.756397</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>f6b65495b63574c2eb73c7e63ae38252</td>\n",
-       "      <td>-225</td>\n",
-       "      <td>-286</td>\n",
-       "      <td>120.699867</td>\n",
-       "      <td>28.008971</td>\n",
+       "      <td>120.732</td>\n",
+       "      <td>30.757</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>f1f4224a60da630a0b83b3a231022123</td>\n",
        "      <td>103</td>\n",
        "      <td>153</td>\n",
-       "      <td>122.391083</td>\n",
-       "      <td>29.982981</td>\n",
+       "      <td>122.390</td>\n",
+       "      <td>29.982</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>e1a1dfb5a77578c889bd3368ffe1d30f</td>\n",
        "      <td>-62</td>\n",
        "      <td>138</td>\n",
-       "      <td>121.540319</td>\n",
-       "      <td>29.915532</td>\n",
+       "      <td>121.540</td>\n",
+       "      <td>29.915</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>e0e30d88fc4f4b8a1d649baf9dd1274e</td>\n",
+       "      <td>-436</td>\n",
+       "      <td>-35</td>\n",
+       "      <td>119.614</td>\n",
+       "      <td>29.137</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                            user_id  LONCOL  LATCOL         lon        lat\n",
-       "0  fcc3a9e9df361667e00ee5c16cb08922    -146     292  121.107203  30.608009\n",
-       "1  f71e9d7d78e6f5bc9539d141e3a5a1c4    -219     325  120.730804  30.756397\n",
-       "2  f6b65495b63574c2eb73c7e63ae38252    -225    -286  120.699867  28.008971\n",
-       "3  f1f4224a60da630a0b83b3a231022123     103     153  122.391083  29.982981\n",
-       "5  e1a1dfb5a77578c889bd3368ffe1d30f     -62     138  121.540319  29.915532"
+       "                            user_id  LONCOL  LATCOL      lon     lat\n",
+       "0  fcc3a9e9df361667e00ee5c16cb08922    -148     292  121.097  30.610\n",
+       "1  f71e9d7d78e6f5bc9539d141e3a5a1c4    -219     325  120.732  30.757\n",
+       "3  f1f4224a60da630a0b83b3a231022123     103     153  122.390  29.982\n",
+       "5  e1a1dfb5a77578c889bd3368ffe1d30f     -62     138  121.540  29.915\n",
+       "6  e0e30d88fc4f4b8a1d649baf9dd1274e    -436     -35  119.614  29.137"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -634,7 +646,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -655,7 +667,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -664,14 +676,12 @@
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 5000x1250 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -699,7 +709,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.16"
   },
   "toc": {
    "base_numbering": 1,