Plot_MFT.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "mft_cata='relocated_catalog_updatedmag5.dat'\n",
    "pd_loc=pd.read_csv(mft_cata,delim_whitespace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_loc[\"dtime\"]=pd.to_datetime(pd_loc[[\"year\",\"month\",\"day\",\"hour\",\"minutes\",\"seconds\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_loc = pd_loc[pd_loc.latitude>=36.3]\n",
    "pd_loc = pd_loc[pd_loc.latitude<=36.65]\n",
    "pd_loc = pd_loc[pd_loc.longitude>=-81.3]\n",
    "pd_loc = pd_loc[pd_loc.longitude<=-80.8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtt=pd_loc.dtime.values.astype(np.int64) // 10 ** 9 /86400\n",
    "pd_loc[\"dtt\"]=dtt-dtt[17]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>evid</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minutes</th>\n",
       "      <th>seconds</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>depth</th>\n",
       "      <th>...</th>\n",
       "      <th>#difftimes</th>\n",
       "      <th>ex</th>\n",
       "      <th>ey</th>\n",
       "      <th>ez</th>\n",
       "      <th>et</th>\n",
       "      <th>rms_phase</th>\n",
       "      <th>rms_xcor</th>\n",
       "      <th>loc_code</th>\n",
       "      <th>dtime</th>\n",
       "      <th>dtt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>47</td>\n",
       "      <td>19.289</td>\n",
       "      <td>36.46549</td>\n",
       "      <td>-81.07816</td>\n",
       "      <td>14.650</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>459.48</td>\n",
       "      <td>675.44</td>\n",
       "      <td>390.23</td>\n",
       "      <td>137.107</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.379</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-07 12:47:19.289</td>\n",
       "      <td>-1.972431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "      <td>48.930</td>\n",
       "      <td>36.49222</td>\n",
       "      <td>-81.17749</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>631.46</td>\n",
       "      <td>968.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>337.349</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.428</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-07 23:06:48.930</td>\n",
       "      <td>-1.542234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>53</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>35</td>\n",
       "      <td>23.615</td>\n",
       "      <td>36.46557</td>\n",
       "      <td>-81.09228</td>\n",
       "      <td>8.682</td>\n",
       "      <td>...</td>\n",
       "      <td>279</td>\n",
       "      <td>145.19</td>\n",
       "      <td>275.42</td>\n",
       "      <td>654.18</td>\n",
       "      <td>26.954</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.415</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 12:35:23.615</td>\n",
       "      <td>-0.980718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>6.510</td>\n",
       "      <td>36.45937</td>\n",
       "      <td>-81.07979</td>\n",
       "      <td>11.808</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>556.63</td>\n",
       "      <td>616.93</td>\n",
       "      <td>503.46</td>\n",
       "      <td>142.727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.106</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 12:37:06.510</td>\n",
       "      <td>-0.979525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>55</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "      <td>37.954</td>\n",
       "      <td>36.45903</td>\n",
       "      <td>-81.07995</td>\n",
       "      <td>12.246</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>381.66</td>\n",
       "      <td>532.19</td>\n",
       "      <td>915.62</td>\n",
       "      <td>148.242</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.106</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 12:38:37.954</td>\n",
       "      <td>-0.978472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>21</td>\n",
       "      <td>59.537</td>\n",
       "      <td>36.49065</td>\n",
       "      <td>-81.09418</td>\n",
       "      <td>6.716</td>\n",
       "      <td>...</td>\n",
       "      <td>84</td>\n",
       "      <td>675.14</td>\n",
       "      <td>557.27</td>\n",
       "      <td>626.64</td>\n",
       "      <td>131.322</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 13:21:59.537</td>\n",
       "      <td>-0.948356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>64</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>16</td>\n",
       "      <td>57.905</td>\n",
       "      <td>36.49528</td>\n",
       "      <td>-81.12440</td>\n",
       "      <td>15.746</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>561.87</td>\n",
       "      <td>557.65</td>\n",
       "      <td>931.24</td>\n",
       "      <td>110.023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.584</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 19:16:57.905</td>\n",
       "      <td>-0.701852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>66</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>42</td>\n",
       "      <td>30.861</td>\n",
       "      <td>36.47891</td>\n",
       "      <td>-81.11566</td>\n",
       "      <td>0.593</td>\n",
       "      <td>...</td>\n",
       "      <td>408</td>\n",
       "      <td>108.67</td>\n",
       "      <td>83.57</td>\n",
       "      <td>640.61</td>\n",
       "      <td>16.983</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.417</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 20:42:30.861</td>\n",
       "      <td>-0.642442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>67</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>49</td>\n",
       "      <td>5.488</td>\n",
       "      <td>36.48813</td>\n",
       "      <td>-81.09450</td>\n",
       "      <td>16.556</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>693.56</td>\n",
       "      <td>680.98</td>\n",
       "      <td>449.41</td>\n",
       "      <td>153.507</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.463</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-08 23:49:05.488</td>\n",
       "      <td>-0.512870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>68</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2.780</td>\n",
       "      <td>36.45812</td>\n",
       "      <td>-81.07725</td>\n",
       "      <td>14.166</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>829.18</td>\n",
       "      <td>791.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>150.425</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.372</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 00:23:02.780</td>\n",
       "      <td>-0.489294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>70</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>52.571</td>\n",
       "      <td>36.47701</td>\n",
       "      <td>-81.10813</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>...</td>\n",
       "      <td>48</td>\n",
       "      <td>750.81</td>\n",
       "      <td>732.01</td>\n",
       "      <td>453.10</td>\n",
       "      <td>224.457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.926</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 00:33:52.571</td>\n",
       "      <td>-0.481771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>72</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>43</td>\n",
       "      <td>40.175</td>\n",
       "      <td>36.48219</td>\n",
       "      <td>-81.09418</td>\n",
       "      <td>0.992</td>\n",
       "      <td>...</td>\n",
       "      <td>737</td>\n",
       "      <td>122.22</td>\n",
       "      <td>167.27</td>\n",
       "      <td>621.42</td>\n",
       "      <td>25.452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.496</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 04:43:40.175</td>\n",
       "      <td>-0.308299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>73</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>57</td>\n",
       "      <td>16.554</td>\n",
       "      <td>36.47807</td>\n",
       "      <td>-81.10296</td>\n",
       "      <td>3.479</td>\n",
       "      <td>...</td>\n",
       "      <td>871</td>\n",
       "      <td>48.43</td>\n",
       "      <td>102.02</td>\n",
       "      <td>488.11</td>\n",
       "      <td>11.721</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.452</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 05:57:16.554</td>\n",
       "      <td>-0.257187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>74</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>16.183</td>\n",
       "      <td>36.48373</td>\n",
       "      <td>-81.09420</td>\n",
       "      <td>16.556</td>\n",
       "      <td>...</td>\n",
       "      <td>429</td>\n",
       "      <td>79.06</td>\n",
       "      <td>104.66</td>\n",
       "      <td>94.60</td>\n",
       "      <td>17.794</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.368</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 06:02:16.183</td>\n",
       "      <td>-0.253715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>76</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>55.721</td>\n",
       "      <td>36.47731</td>\n",
       "      <td>-81.10278</td>\n",
       "      <td>6.627</td>\n",
       "      <td>...</td>\n",
       "      <td>766</td>\n",
       "      <td>161.93</td>\n",
       "      <td>138.91</td>\n",
       "      <td>512.30</td>\n",
       "      <td>25.086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.428</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 06:06:55.721</td>\n",
       "      <td>-0.250486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>78</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>47</td>\n",
       "      <td>2.546</td>\n",
       "      <td>36.48957</td>\n",
       "      <td>-81.11111</td>\n",
       "      <td>1.974</td>\n",
       "      <td>...</td>\n",
       "      <td>33</td>\n",
       "      <td>859.78</td>\n",
       "      <td>674.60</td>\n",
       "      <td>775.10</td>\n",
       "      <td>286.821</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.929</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 08:47:02.546</td>\n",
       "      <td>-0.139294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>80</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>40</td>\n",
       "      <td>8.133</td>\n",
       "      <td>36.50550</td>\n",
       "      <td>-81.00520</td>\n",
       "      <td>0.005</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>599.13</td>\n",
       "      <td>759.14</td>\n",
       "      <td>493.85</td>\n",
       "      <td>239.524</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.697</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 11:40:08.133</td>\n",
       "      <td>-0.019086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>83</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>37.630</td>\n",
       "      <td>36.48032</td>\n",
       "      <td>-81.09938</td>\n",
       "      <td>5.427</td>\n",
       "      <td>...</td>\n",
       "      <td>568</td>\n",
       "      <td>128.61</td>\n",
       "      <td>236.94</td>\n",
       "      <td>476.05</td>\n",
       "      <td>28.139</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.507</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 12:07:37.630</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>102</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>2.439</td>\n",
       "      <td>36.47610</td>\n",
       "      <td>-81.08391</td>\n",
       "      <td>5.145</td>\n",
       "      <td>...</td>\n",
       "      <td>57</td>\n",
       "      <td>716.27</td>\n",
       "      <td>548.30</td>\n",
       "      <td>674.05</td>\n",
       "      <td>126.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.794</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 12:28:02.439</td>\n",
       "      <td>0.014178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>103</td>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>36.156</td>\n",
       "      <td>36.47878</td>\n",
       "      <td>-81.13911</td>\n",
       "      <td>1.100</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>530.68</td>\n",
       "      <td>733.64</td>\n",
       "      <td>873.36</td>\n",
       "      <td>218.360</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.678</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-08-09 12:31:36.156</td>\n",
       "      <td>0.016655</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    evid  year  month  day  hour  minutes  seconds  latitude  longitude  \\\n",
       "0     33  2020      8    7    12       47   19.289  36.46549  -81.07816   \n",
       "1     39  2020      8    7    23        6   48.930  36.49222  -81.17749   \n",
       "2     53  2020      8    8    12       35   23.615  36.46557  -81.09228   \n",
       "3     54  2020      8    8    12       37    6.510  36.45937  -81.07979   \n",
       "4     55  2020      8    8    12       38   37.954  36.45903  -81.07995   \n",
       "5     57  2020      8    8    13       21   59.537  36.49065  -81.09418   \n",
       "6     64  2020      8    8    19       16   57.905  36.49528  -81.12440   \n",
       "7     66  2020      8    8    20       42   30.861  36.47891  -81.11566   \n",
       "8     67  2020      8    8    23       49    5.488  36.48813  -81.09450   \n",
       "9     68  2020      8    9     0       23    2.780  36.45812  -81.07725   \n",
       "10    70  2020      8    9     0       33   52.571  36.47701  -81.10813   \n",
       "11    72  2020      8    9     4       43   40.175  36.48219  -81.09418   \n",
       "12    73  2020      8    9     5       57   16.554  36.47807  -81.10296   \n",
       "13    74  2020      8    9     6        2   16.183  36.48373  -81.09420   \n",
       "14    76  2020      8    9     6        6   55.721  36.47731  -81.10278   \n",
       "15    78  2020      8    9     8       47    2.546  36.48957  -81.11111   \n",
       "16    80  2020      8    9    11       40    8.133  36.50550  -81.00520   \n",
       "17    83  2020      8    9    12        7   37.630  36.48032  -81.09938   \n",
       "18   102  2020      8    9    12       28    2.439  36.47610  -81.08391   \n",
       "19   103  2020      8    9    12       31   36.156  36.47878  -81.13911   \n",
       "\n",
       "     depth  ... #difftimes      ex      ey      ez       et  rms_phase  \\\n",
       "0   14.650  ...          8  459.48  675.44  390.23  137.107        0.0   \n",
       "1   -0.007  ...         20  631.46  968.09    0.00  337.349        0.0   \n",
       "2    8.682  ...        279  145.19  275.42  654.18   26.954        0.0   \n",
       "3   11.808  ...          8  556.63  616.93  503.46  142.727        0.0   \n",
       "4   12.246  ...          8  381.66  532.19  915.62  148.242        0.0   \n",
       "5    6.716  ...         84  675.14  557.27  626.64  131.322        0.0   \n",
       "6   15.746  ...         36  561.87  557.65  931.24  110.023        0.0   \n",
       "7    0.593  ...        408  108.67   83.57  640.61   16.983        0.0   \n",
       "8   16.556  ...         16  693.56  680.98  449.41  153.507        0.0   \n",
       "9   14.166  ...         24  829.18  791.85    0.00  150.425        0.0   \n",
       "10  -0.007  ...         48  750.81  732.01  453.10  224.457        0.0   \n",
       "11   0.992  ...        737  122.22  167.27  621.42   25.452        0.0   \n",
       "12   3.479  ...        871   48.43  102.02  488.11   11.721        0.0   \n",
       "13  16.556  ...        429   79.06  104.66   94.60   17.794        0.0   \n",
       "14   6.627  ...        766  161.93  138.91  512.30   25.086        0.0   \n",
       "15   1.974  ...         33  859.78  674.60  775.10  286.821        0.0   \n",
       "16   0.005  ...          8  599.13  759.14  493.85  239.524        0.0   \n",
       "17   5.427  ...        568  128.61  236.94  476.05   28.139        0.0   \n",
       "18   5.145  ...         57  716.27  548.30  674.05  126.012        0.0   \n",
       "19   1.100  ...          9  530.68  733.64  873.36  218.360        0.0   \n",
       "\n",
       "    rms_xcor  loc_code                   dtime       dtt  \n",
       "0      0.379         3 2020-08-07 12:47:19.289 -1.972431  \n",
       "1      0.428         3 2020-08-07 23:06:48.930 -1.542234  \n",
       "2      0.415         3 2020-08-08 12:35:23.615 -0.980718  \n",
       "3      0.106         3 2020-08-08 12:37:06.510 -0.979525  \n",
       "4      0.106         3 2020-08-08 12:38:37.954 -0.978472  \n",
       "5      0.667         3 2020-08-08 13:21:59.537 -0.948356  \n",
       "6      0.584         3 2020-08-08 19:16:57.905 -0.701852  \n",
       "7      0.417         3 2020-08-08 20:42:30.861 -0.642442  \n",
       "8      0.463         3 2020-08-08 23:49:05.488 -0.512870  \n",
       "9      0.372         3 2020-08-09 00:23:02.780 -0.489294  \n",
       "10     0.926         3 2020-08-09 00:33:52.571 -0.481771  \n",
       "11     0.496         3 2020-08-09 04:43:40.175 -0.308299  \n",
       "12     0.452         3 2020-08-09 05:57:16.554 -0.257187  \n",
       "13     0.368         3 2020-08-09 06:02:16.183 -0.253715  \n",
       "14     0.428         3 2020-08-09 06:06:55.721 -0.250486  \n",
       "15     0.929         3 2020-08-09 08:47:02.546 -0.139294  \n",
       "16     0.697         3 2020-08-09 11:40:08.133 -0.019086  \n",
       "17     0.507         3 2020-08-09 12:07:37.630  0.000000  \n",
       "18     0.794         3 2020-08-09 12:28:02.439  0.014178  \n",
       "19     0.678         3 2020-08-09 12:31:36.156  0.016655  \n",
       "\n",
       "[20 rows x 22 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_loc.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
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       "                        {\"responsive\": true}\n",
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       "                            \n",
       "var gd = document.getElementById('b34eeecd-26c4-4b18-b692-468309e830e1');\n",
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       "            Plotly.purge(gd);\n",
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       "            </script>\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "fig = go.Figure()\n",
    "\n",
    "# ---- plot eq location\n",
    "fig.add_trace(go.Scattermapbox(\n",
    "        lat=pd_loc.latitude,\n",
    "        lon=pd_loc.longitude,\n",
    "        mode='markers',\n",
    "        marker=go.scattermapbox.Marker(\n",
    "            color=pd_loc.depth,\n",
    "            size=6,\n",
    "            colorscale=px.colors.cyclical.IceFire,\n",
    "            cmax=max(pd_loc.depth),\n",
    "            colorbar={'title': 'evdp (km)'},\n",
    "            cmin=0,\n",
    "            showscale=True,\n",
    "        ),\n",
    "        hovertemplate='<br><b>%{text}</b>'\n",
    "                      '<br><b>(%{lat:.2f}, %{lon:.2f})</b>'\n",
    "                     '<br><b>evdp: %{marker.color:.2f}</b>',\n",
    "        text=pd_loc.dtime,\n",
    "        hoverinfo='text'\n",
    "    ))\n",
    "\n",
    "\n",
    "# ---- update layout\n",
    "fig.update_layout(\n",
    "    title='Event location',\n",
    "    autosize=True,\n",
    "    hovermode='closest',\n",
    "    showlegend=False,\n",
    "    width=600,\n",
    "    mapbox=dict(\n",
    "        accesstoken='pk.eyJ1IjoieWNodWFuZzM1IiwiYSI6ImNqeGtzZDluZzFkcWgzem12ZDY2cWpoemsifQ.1_ZAhhpXtE2hnkSCtKIDZw',\n",
    "        style='mapbox://styles/ychuang35/cjxlwvwur15fj1cousoa18kju',\n",
    "        bearing=0,\n",
    "        center=dict(\n",
    "            lat=36,\n",
    "            lon=-82\n",
    "        ),\n",
    "        pitch=0,\n",
    "        zoom=5,\n",
    "    ),\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
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\"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('4af68e9a-f794-4061-ab40-0f1a98e64e7a');\n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "fig = go.Figure(data=[go.Scatter3d(\n",
    "    x=pd_loc[pd_loc.dtt<=30].longitude,\n",
    "    y=pd_loc[pd_loc.dtt<=30].latitude,\n",
    "    z=-1*pd_loc[pd_loc.dtt<=30].depth,\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        size=2,\n",
    "        color=pd_loc[pd_loc.dtt<=30].dtt,                # set color to an array/list of desired values\n",
    "        colorscale='IceFire',   # choose a colorscale\n",
    "        opacity=0.8,\n",
    "        colorbar={'title': 'Day'},\n",
    "    ),\n",
    "    hovertemplate='<br><b>%{text}</b>'\n",
    "                      '<br><b>(%{x:.2f}, %{y:.2f})</b>',\n",
    "    text=pd_loc.dtime,\n",
    ")])\n",
    "fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
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       "data": [
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       "                        {\"responsive\": true}\n",
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       "                            \n",
       "var gd = document.getElementById('2509ca28-53fd-4624-ba32-c34e25ce2878');\n",
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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Forshocks\n",
    "\n",
    "import plotly.graph_objects as go\n",
    "fig = go.Figure(data=[go.Scatter3d(\n",
    "    x=pd_loc.longitude[pd_loc.dtt<=0],\n",
    "    y=pd_loc.latitude[pd_loc.dtt<=0],\n",
    "    z=-1*pd_loc.depth[pd_loc.dtt<=0],\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        size=2,\n",
    "        color=pd_loc.dtt[pd_loc.dtt<=0],                # set color to an array/list of desired values\n",
    "        colorscale='IceFire',   # choose a colorscale\n",
    "        opacity=0.8,\n",
    "        colorbar={'title': 'Day'},\n",
    "    ),\n",
    "    hovertemplate='<br><b>%{text}</b>'\n",
    "                      '<br><b>(%{x:.2f}, %{y:.2f})</b>',\n",
    "    text=pd_loc.dtime,\n",
    ")])\n",
    "fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
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        "plotlyServerURL": "https://plot.ly"
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       "                    ).then(function(){\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "fig = px.scatter(pd_loc, x=\"dtt\", y=\"mag\",color=\"depth\")\n",
    "fig.update_layout(title='mag/depth vs time')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
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       "            </script>\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "fig = px.scatter(pd_loc, x=\"dtt\", y=\"latitude\",color=\"depth\")\n",
    "fig.update_layout(title='latitude/depth vs time')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "fig = px.scatter(pd_loc, x=\"dtt\", y=\"longitude\",color=\"depth\")\n",
    "fig.update_layout(title='latitude/depth vs time')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
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       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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   ],
   "source": [
    "# only deal with the ones that have amgnitude determined\n",
    "# mag here respect to the minimum value\n",
    "temp_pd_loc=pd_loc[pd_loc.mag!='NM']\n",
    "mags=pd.to_numeric(temp_pd_loc[\"mag\"])\n",
    "mags=mags-min(mags)\n",
    "temp_pd_loc=temp_pd_loc.drop(columns=['mag'])\n",
    "temp_pd_loc[\"mag\"]=mags\n",
    "import plotly.express as px\n",
    "fig = px.scatter(temp_pd_loc, x=\"dtt\", y=\"depth\",size='mag',size_max=10)\n",
    "fig.update_layout(title='depth vs time')\n",
    "fig.show()"
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  {
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   "source": [
    "temp_pd_loc=pd_loc[pd_loc.mag!='NM']\n",
    "mags=pd.to_numeric(temp_pd_loc[\"mag\"])\n",
    "temp_pd_loc=temp_pd_loc.drop(columns=['mag'])\n",
    "temp_pd_loc[\"mag\"]=mags\n",
    "import plotly.express as px\n",
    "df = px.data.tips()\n",
    "fig = px.histogram(temp_pd_loc, x=\"mag\")\n",
    "fig.show()"
   ]
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     "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": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "axx=plt.hist(temp_pd_loc.mag,50, histtype=\"stepfilled\", alpha=.7, cumulative=-1)\n",
    "fig = px.scatter(x=list(axx[1][0:-1]), y=list(axx[0]),log_y=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda env:obspy]",
   "language": "python",
   "name": "conda-env-obspy-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}