price_targets.ipynb

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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>analyst</th>\n",
       "      <th>target</th>\n",
       "      <th>rating</th>\n",
       "      <th>aver_close_at_analysis</th>\n",
       "      <th>analysis_date</th>\n",
       "      <th>aver_close_at_12m</th>\n",
       "      <th>12m_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>78.00</td>\n",
       "      <td>Hold</td>\n",
       "      <td>70.282856</td>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>97.832857</td>\n",
       "      <td>2017-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>77.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>70.282856</td>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>97.832857</td>\n",
       "      <td>2017-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>80.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>69.029999</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>2017-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>77.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>69.029999</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>2017-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>85.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.029999</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>2017-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>72.00</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>69.029999</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>2017-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>78.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.029999</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>2017-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>58.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.185000</td>\n",
       "      <td>2016-02-17</td>\n",
       "      <td>98.369999</td>\n",
       "      <td>2017-02-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>74.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.873334</td>\n",
       "      <td>2016-02-10</td>\n",
       "      <td>96.436249</td>\n",
       "      <td>2017-02-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>80.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.297143</td>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>92.876249</td>\n",
       "      <td>2017-01-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>76.070001</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>2016-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>92.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>76.070001</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>2016-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>79.00</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>76.070001</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>2016-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>81.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.070001</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>2016-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>79.00</td>\n",
       "      <td>Hold</td>\n",
       "      <td>75.532858</td>\n",
       "      <td>2015-11-24</td>\n",
       "      <td>89.542858</td>\n",
       "      <td>2016-11-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>75.748570</td>\n",
       "      <td>2015-11-04</td>\n",
       "      <td>83.165001</td>\n",
       "      <td>2016-11-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>72.402858</td>\n",
       "      <td>2015-09-30</td>\n",
       "      <td>81.163751</td>\n",
       "      <td>2016-09-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>71.00</td>\n",
       "      <td>Underweight</td>\n",
       "      <td>72.565000</td>\n",
       "      <td>2015-09-10</td>\n",
       "      <td>80.888749</td>\n",
       "      <td>2016-09-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>83.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.359998</td>\n",
       "      <td>2015-09-01</td>\n",
       "      <td>81.605000</td>\n",
       "      <td>2016-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>72.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>72.312221</td>\n",
       "      <td>2015-08-29</td>\n",
       "      <td>81.600001</td>\n",
       "      <td>2016-08-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>75.00</td>\n",
       "      <td>Hold</td>\n",
       "      <td>72.504284</td>\n",
       "      <td>2015-08-27</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>2016-08-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>Sector Outperform</td>\n",
       "      <td>72.504284</td>\n",
       "      <td>2015-08-27</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>2016-08-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>72.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>72.504284</td>\n",
       "      <td>2015-08-27</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>2016-08-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>82.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.820001</td>\n",
       "      <td>2015-08-20</td>\n",
       "      <td>80.896667</td>\n",
       "      <td>2016-08-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>84.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>75.108750</td>\n",
       "      <td>2015-08-17</td>\n",
       "      <td>80.394286</td>\n",
       "      <td>2016-08-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>76.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.121428</td>\n",
       "      <td>2015-08-12</td>\n",
       "      <td>80.171250</td>\n",
       "      <td>2016-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>90.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>79.646250</td>\n",
       "      <td>2015-05-29</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>2016-05-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>87.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>79.646250</td>\n",
       "      <td>2015-05-29</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>2016-05-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>RY</td>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>90.00</td>\n",
       "      <td>Market Perform</td>\n",
       "      <td>79.646250</td>\n",
       "      <td>2015-05-29</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>2016-05-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TD</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>58.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.570000</td>\n",
       "      <td>2016-03-03</td>\n",
       "      <td>69.498752</td>\n",
       "      <td>2017-03-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4310</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Sector Performer</td>\n",
       "      <td>4.950000</td>\n",
       "      <td>2015-10-28</td>\n",
       "      <td>6.191250</td>\n",
       "      <td>2016-10-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4311</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>8.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.848571</td>\n",
       "      <td>2015-10-16</td>\n",
       "      <td>6.433333</td>\n",
       "      <td>2016-10-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4312</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>7.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.135000</td>\n",
       "      <td>2015-10-02</td>\n",
       "      <td>5.960000</td>\n",
       "      <td>2016-10-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4313</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>11.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.790000</td>\n",
       "      <td>2015-09-29</td>\n",
       "      <td>5.758571</td>\n",
       "      <td>2016-09-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4314</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.992857</td>\n",
       "      <td>2015-09-23</td>\n",
       "      <td>5.647500</td>\n",
       "      <td>2016-09-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4315</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Credit Suisse Group AG</td>\n",
       "      <td>9.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.455714</td>\n",
       "      <td>2015-08-13</td>\n",
       "      <td>4.844444</td>\n",
       "      <td>2016-08-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4316</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>9.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.534286</td>\n",
       "      <td>2015-08-12</td>\n",
       "      <td>4.812500</td>\n",
       "      <td>2016-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4317</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Dundee Securities</td>\n",
       "      <td>9.75</td>\n",
       "      <td>Buy</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4318</th>\n",
       "      <td>KEL</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>12.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4319</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4320</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4321</th>\n",
       "      <td>KEL</td>\n",
       "      <td>FirstEnergy Capital</td>\n",
       "      <td>9.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4322</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CSFB</td>\n",
       "      <td>8.50</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4323</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>9.50</td>\n",
       "      <td>Sector Outperformer</td>\n",
       "      <td>6.662857</td>\n",
       "      <td>2015-08-11</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>2016-08-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4324</th>\n",
       "      <td>KEL</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>13.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>8.331429</td>\n",
       "      <td>2015-07-08</td>\n",
       "      <td>4.676250</td>\n",
       "      <td>2016-07-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4325</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>11.50</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>8.331429</td>\n",
       "      <td>2015-07-08</td>\n",
       "      <td>4.676250</td>\n",
       "      <td>2016-07-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4326</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Dundee Securities</td>\n",
       "      <td>12.75</td>\n",
       "      <td>Buy</td>\n",
       "      <td>8.940000</td>\n",
       "      <td>2015-06-16</td>\n",
       "      <td>4.817143</td>\n",
       "      <td>2016-06-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4327</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>11.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>8.704286</td>\n",
       "      <td>2015-05-19</td>\n",
       "      <td>4.593333</td>\n",
       "      <td>2016-05-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4328</th>\n",
       "      <td>MSI</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>19.50</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>17.172500</td>\n",
       "      <td>2016-04-04</td>\n",
       "      <td>20.207142</td>\n",
       "      <td>2017-04-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4329</th>\n",
       "      <td>MSI</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>17.50</td>\n",
       "      <td>Hold</td>\n",
       "      <td>15.621250</td>\n",
       "      <td>2016-03-04</td>\n",
       "      <td>18.902222</td>\n",
       "      <td>2017-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4330</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>19.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>15.621250</td>\n",
       "      <td>2016-03-04</td>\n",
       "      <td>18.902222</td>\n",
       "      <td>2017-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4331</th>\n",
       "      <td>MSI</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>17.00</td>\n",
       "      <td>Hold</td>\n",
       "      <td>15.494286</td>\n",
       "      <td>2015-11-11</td>\n",
       "      <td>19.306250</td>\n",
       "      <td>2016-11-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4332</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>18.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.601667</td>\n",
       "      <td>2015-08-06</td>\n",
       "      <td>18.432500</td>\n",
       "      <td>2016-08-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4333</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>19.00</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>16.596667</td>\n",
       "      <td>2015-08-05</td>\n",
       "      <td>18.424286</td>\n",
       "      <td>2016-08-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4334</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>18.00</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>17.690000</td>\n",
       "      <td>2015-05-12</td>\n",
       "      <td>17.431428</td>\n",
       "      <td>2016-05-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4335</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>4.457143</td>\n",
       "      <td>2016-04-27</td>\n",
       "      <td>3.172857</td>\n",
       "      <td>2017-04-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4336</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Buy</td>\n",
       "      <td>4.474286</td>\n",
       "      <td>2016-04-26</td>\n",
       "      <td>3.181429</td>\n",
       "      <td>2017-04-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4337</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Hold</td>\n",
       "      <td>4.427500</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3.252222</td>\n",
       "      <td>2017-04-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4338</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>5.50</td>\n",
       "      <td>Buy</td>\n",
       "      <td>3.887500</td>\n",
       "      <td>2015-11-02</td>\n",
       "      <td>3.787143</td>\n",
       "      <td>2016-11-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4339</th>\n",
       "      <td>NSU</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>3.790000</td>\n",
       "      <td>2015-09-04</td>\n",
       "      <td>4.190000</td>\n",
       "      <td>2016-09-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4340 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ticker                        analyst  target               rating  \\\n",
       "0        RY                  TD Securities   78.00                 Hold   \n",
       "1        RY                     Scotiabank   77.00           Outperform   \n",
       "2        RY                  TD Securities   80.00                  Buy   \n",
       "3        RY                     Scotiabank   77.00           Outperform   \n",
       "4        RY           Bank of America Corp   85.00                  NaN   \n",
       "5        RY        National Bank Financial   72.00       Sector Perform   \n",
       "6        RY                           CIBC   78.00                  NaN   \n",
       "7        RY                   Barclays PLC   58.00                  NaN   \n",
       "8        RY        National Bank Financial   74.00                  NaN   \n",
       "9        RY                           CIBC   80.00                  NaN   \n",
       "10       RY                     Scotiabank   86.00           Outperform   \n",
       "11       RY           Bank of America Corp   92.00                  Buy   \n",
       "12       RY        National Bank Financial   79.00       Sector Perform   \n",
       "13       RY              Canaccord Genuity   81.00                  NaN   \n",
       "14       RY              Canaccord Genuity   79.00                 Hold   \n",
       "15       RY                     Scotiabank   79.00           Outperform   \n",
       "16       RY                     Scotiabank   79.00           Outperform   \n",
       "17       RY                   Barclays PLC   71.00          Underweight   \n",
       "18       RY                           CIBC   83.00                  NaN   \n",
       "19       RY           Bank of America Corp   72.00                  Buy   \n",
       "20       RY              Canaccord Genuity   75.00                 Hold   \n",
       "21       RY                     Scotiabank   79.00    Sector Outperform   \n",
       "22       RY           Bank of America Corp   72.00                  Buy   \n",
       "23       RY                     Scotiabank   82.00                  NaN   \n",
       "24       RY                           CIBC   84.00           Outperform   \n",
       "25       RY                   Barclays PLC   76.00                  NaN   \n",
       "26       RY                  TD Securities   90.00                  Buy   \n",
       "27       RY                           CIBC   87.00           Outperform   \n",
       "28       RY            BMO Capital Markets   90.00       Market Perform   \n",
       "29       TD                           CIBC   58.00                  NaN   \n",
       "...     ...                            ...     ...                  ...   \n",
       "4310    KEL                           CIBC    6.00     Sector Performer   \n",
       "4311    KEL  Raymond James Financial, Inc.    8.00                  NaN   \n",
       "4312    KEL               Paradigm Capital    7.50                  NaN   \n",
       "4313    KEL                     Scotiabank   11.00                  NaN   \n",
       "4314    KEL                           CIBC    7.00                  NaN   \n",
       "4315    KEL         Credit Suisse Group AG    9.00                  NaN   \n",
       "4316    KEL  Raymond James Financial, Inc.    9.50                  NaN   \n",
       "4317    KEL              Dundee Securities    9.75                  Buy   \n",
       "4318    KEL                  TD Securities   12.00                  Buy   \n",
       "4319    KEL           Royal Bank of Canada   10.00           Outperform   \n",
       "4320    KEL               Paradigm Capital   10.00                  Buy   \n",
       "4321    KEL            FirstEnergy Capital    9.50                  NaN   \n",
       "4322    KEL                           CSFB    8.50              Neutral   \n",
       "4323    KEL                           CIBC    9.50  Sector Outperformer   \n",
       "4324    KEL                  TD Securities   13.00                  Buy   \n",
       "4325    KEL                     Scotiabank   11.50           Outperform   \n",
       "4326    KEL              Dundee Securities   12.75                  Buy   \n",
       "4327    KEL  Raymond James Financial, Inc.   11.00           Outperform   \n",
       "4328    MSI        National Bank Financial   19.50           Outperform   \n",
       "4329    MSI                  TD Securities   17.50                 Hold   \n",
       "4330    MSI                     Scotiabank   19.00           Outperform   \n",
       "4331    MSI                  TD Securities   17.00                 Hold   \n",
       "4332    MSI                     Scotiabank   18.50                  NaN   \n",
       "4333    MSI                     Scotiabank   19.00       Sector Perform   \n",
       "4334    MSI                     Scotiabank   18.00       Sector Perform   \n",
       "4335    NSU           Royal Bank of Canada    6.00           Outperform   \n",
       "4336    NSU               Paradigm Capital    6.00                  Buy   \n",
       "4337    NSU              Canaccord Genuity    5.00                 Hold   \n",
       "4338    NSU               Paradigm Capital    5.50                  Buy   \n",
       "4339    NSU                           CIBC    5.00       Sector Perform   \n",
       "\n",
       "      aver_close_at_analysis analysis_date  aver_close_at_12m    12m_date  \n",
       "0                  70.282856    2016-03-02          97.832857  2017-03-02  \n",
       "1                  70.282856    2016-03-02          97.832857  2017-03-02  \n",
       "2                  69.029999    2016-02-25          97.656251  2017-02-25  \n",
       "3                  69.029999    2016-02-25          97.656251  2017-02-25  \n",
       "4                  69.029999    2016-02-25          97.656251  2017-02-25  \n",
       "5                  69.029999    2016-02-25          97.656251  2017-02-25  \n",
       "6                  69.029999    2016-02-25          97.656251  2017-02-25  \n",
       "7                  70.185000    2016-02-17          98.369999  2017-02-17  \n",
       "8                  67.873334    2016-02-10          96.436249  2017-02-10  \n",
       "9                  71.297143    2016-01-07          92.876249  2017-01-07  \n",
       "10                 76.070001    2015-12-03          88.355556  2016-12-03  \n",
       "11                 76.070001    2015-12-03          88.355556  2016-12-03  \n",
       "12                 76.070001    2015-12-03          88.355556  2016-12-03  \n",
       "13                 76.070001    2015-12-03          88.355556  2016-12-03  \n",
       "14                 75.532858    2015-11-24          89.542858  2016-11-24  \n",
       "15                 75.748570    2015-11-04          83.165001  2016-11-04  \n",
       "16                 72.402858    2015-09-30          81.163751  2016-09-30  \n",
       "17                 72.565000    2015-09-10          80.888749  2016-09-10  \n",
       "18                 72.359998    2015-09-01          81.605000  2016-09-01  \n",
       "19                 72.312221    2015-08-29          81.600001  2016-08-29  \n",
       "20                 72.504284    2015-08-27          81.622223  2016-08-27  \n",
       "21                 72.504284    2015-08-27          81.622223  2016-08-27  \n",
       "22                 72.504284    2015-08-27          81.622223  2016-08-27  \n",
       "23                 73.820001    2015-08-20          80.896667  2016-08-20  \n",
       "24                 75.108750    2015-08-17          80.394286  2016-08-17  \n",
       "25                 76.121428    2015-08-12          80.171250  2016-08-12  \n",
       "26                 79.646250    2015-05-29          79.502223  2016-05-29  \n",
       "27                 79.646250    2015-05-29          79.502223  2016-05-29  \n",
       "28                 79.646250    2015-05-29          79.502223  2016-05-29  \n",
       "29                 53.570000    2016-03-03          69.498752  2017-03-03  \n",
       "...                      ...           ...                ...         ...  \n",
       "4310                4.950000    2015-10-28           6.191250  2016-10-28  \n",
       "4311                5.848571    2015-10-16           6.433333  2016-10-16  \n",
       "4312                6.135000    2015-10-02           5.960000  2016-10-02  \n",
       "4313                5.790000    2015-09-29           5.758571  2016-09-29  \n",
       "4314                5.992857    2015-09-23           5.647500  2016-09-23  \n",
       "4315                6.455714    2015-08-13           4.844444  2016-08-13  \n",
       "4316                6.534286    2015-08-12           4.812500  2016-08-12  \n",
       "4317                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4318                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4319                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4320                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4321                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4322                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4323                6.662857    2015-08-11           4.795714  2016-08-11  \n",
       "4324                8.331429    2015-07-08           4.676250  2016-07-08  \n",
       "4325                8.331429    2015-07-08           4.676250  2016-07-08  \n",
       "4326                8.940000    2015-06-16           4.817143  2016-06-16  \n",
       "4327                8.704286    2015-05-19           4.593333  2016-05-19  \n",
       "4328               17.172500    2016-04-04          20.207142  2017-04-04  \n",
       "4329               15.621250    2016-03-04          18.902222  2017-03-04  \n",
       "4330               15.621250    2016-03-04          18.902222  2017-03-04  \n",
       "4331               15.494286    2015-11-11          19.306250  2016-11-11  \n",
       "4332               16.601667    2015-08-06          18.432500  2016-08-06  \n",
       "4333               16.596667    2015-08-05          18.424286  2016-08-05  \n",
       "4334               17.690000    2015-05-12          17.431428  2016-05-12  \n",
       "4335                4.457143    2016-04-27           3.172857  2017-04-27  \n",
       "4336                4.474286    2016-04-26           3.181429  2017-04-26  \n",
       "4337                4.427500    2016-04-22           3.252222  2017-04-22  \n",
       "4338                3.887500    2015-11-02           3.787143  2016-11-02  \n",
       "4339                3.790000    2015-09-04           4.190000  2016-09-04  \n",
       "\n",
       "[4340 rows x 8 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv('targets.csv')\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticker</th>\n",
       "      <th>analyst</th>\n",
       "      <th>target</th>\n",
       "      <th>aver_close_at_12m</th>\n",
       "      <th>target_perc</th>\n",
       "      <th>real_perc</th>\n",
       "      <th>error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>78.00</td>\n",
       "      <td>97.832857</td>\n",
       "      <td>10.980122</td>\n",
       "      <td>39.198750</td>\n",
       "      <td>-28.218627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>77.00</td>\n",
       "      <td>97.832857</td>\n",
       "      <td>9.557300</td>\n",
       "      <td>39.198750</td>\n",
       "      <td>-29.641449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>80.00</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>15.891643</td>\n",
       "      <td>41.469292</td>\n",
       "      <td>-25.577649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>77.00</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>11.545707</td>\n",
       "      <td>41.469292</td>\n",
       "      <td>-29.923586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>85.00</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>23.134871</td>\n",
       "      <td>41.469292</td>\n",
       "      <td>-18.334421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>72.00</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>4.302479</td>\n",
       "      <td>41.469292</td>\n",
       "      <td>-37.166813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>78.00</td>\n",
       "      <td>97.656251</td>\n",
       "      <td>12.994352</td>\n",
       "      <td>41.469292</td>\n",
       "      <td>-28.474940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>58.00</td>\n",
       "      <td>98.369999</td>\n",
       "      <td>-17.361260</td>\n",
       "      <td>40.158152</td>\n",
       "      <td>-57.519412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>74.00</td>\n",
       "      <td>96.436249</td>\n",
       "      <td>9.026617</td>\n",
       "      <td>42.082675</td>\n",
       "      <td>-33.056058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>80.00</td>\n",
       "      <td>92.876249</td>\n",
       "      <td>12.206459</td>\n",
       "      <td>30.266438</td>\n",
       "      <td>-18.059979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>86.00</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>13.053765</td>\n",
       "      <td>16.150329</td>\n",
       "      <td>-3.096564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>92.00</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>20.941237</td>\n",
       "      <td>16.150329</td>\n",
       "      <td>4.790908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RY</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>79.00</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>3.851714</td>\n",
       "      <td>16.150329</td>\n",
       "      <td>-12.298614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>81.00</td>\n",
       "      <td>88.355556</td>\n",
       "      <td>6.480872</td>\n",
       "      <td>16.150329</td>\n",
       "      <td>-9.669457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>79.00</td>\n",
       "      <td>89.542858</td>\n",
       "      <td>4.590244</td>\n",
       "      <td>18.548219</td>\n",
       "      <td>-13.957975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>83.165001</td>\n",
       "      <td>4.292398</td>\n",
       "      <td>9.790852</td>\n",
       "      <td>-5.498455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>81.163751</td>\n",
       "      <td>9.111714</td>\n",
       "      <td>12.100202</td>\n",
       "      <td>-2.988488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>71.00</td>\n",
       "      <td>80.888749</td>\n",
       "      <td>-2.156687</td>\n",
       "      <td>11.470749</td>\n",
       "      <td>-13.627436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>83.00</td>\n",
       "      <td>81.605000</td>\n",
       "      <td>14.704259</td>\n",
       "      <td>12.776398</td>\n",
       "      <td>1.927861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>72.00</td>\n",
       "      <td>81.600001</td>\n",
       "      <td>-0.431768</td>\n",
       "      <td>12.843997</td>\n",
       "      <td>-13.275765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>RY</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>75.00</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>3.442163</td>\n",
       "      <td>12.575724</td>\n",
       "      <td>-9.133561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>79.00</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>8.959078</td>\n",
       "      <td>12.575724</td>\n",
       "      <td>-3.616646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RY</td>\n",
       "      <td>Bank of America Corp</td>\n",
       "      <td>72.00</td>\n",
       "      <td>81.622223</td>\n",
       "      <td>-0.695524</td>\n",
       "      <td>12.575724</td>\n",
       "      <td>-13.271247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>RY</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>82.00</td>\n",
       "      <td>80.896667</td>\n",
       "      <td>11.081007</td>\n",
       "      <td>9.586381</td>\n",
       "      <td>1.494626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>84.00</td>\n",
       "      <td>80.394286</td>\n",
       "      <td>11.837835</td>\n",
       "      <td>7.037177</td>\n",
       "      <td>4.800658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RY</td>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>76.00</td>\n",
       "      <td>80.171250</td>\n",
       "      <td>-0.159519</td>\n",
       "      <td>5.320213</td>\n",
       "      <td>-5.479732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>RY</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>90.00</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>12.999671</td>\n",
       "      <td>-0.180834</td>\n",
       "      <td>13.180504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RY</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>87.00</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>9.233015</td>\n",
       "      <td>-0.180834</td>\n",
       "      <td>9.413849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>RY</td>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>90.00</td>\n",
       "      <td>79.502223</td>\n",
       "      <td>12.999671</td>\n",
       "      <td>-0.180834</td>\n",
       "      <td>13.180504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TD</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>58.00</td>\n",
       "      <td>69.498752</td>\n",
       "      <td>8.269554</td>\n",
       "      <td>29.734463</td>\n",
       "      <td>-21.464909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4310</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.191250</td>\n",
       "      <td>21.212121</td>\n",
       "      <td>25.075758</td>\n",
       "      <td>-3.863636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4311</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>8.00</td>\n",
       "      <td>6.433333</td>\n",
       "      <td>36.785540</td>\n",
       "      <td>9.998372</td>\n",
       "      <td>26.787168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4312</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>7.50</td>\n",
       "      <td>5.960000</td>\n",
       "      <td>22.249389</td>\n",
       "      <td>-2.852486</td>\n",
       "      <td>25.101874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4313</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>11.00</td>\n",
       "      <td>5.758571</td>\n",
       "      <td>89.982729</td>\n",
       "      <td>-0.542808</td>\n",
       "      <td>90.525537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4314</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>7.00</td>\n",
       "      <td>5.647500</td>\n",
       "      <td>16.805721</td>\n",
       "      <td>-5.762813</td>\n",
       "      <td>22.568534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4315</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Credit Suisse Group AG</td>\n",
       "      <td>9.00</td>\n",
       "      <td>4.844444</td>\n",
       "      <td>39.411374</td>\n",
       "      <td>-24.958816</td>\n",
       "      <td>64.370190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4316</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>9.50</td>\n",
       "      <td>4.812500</td>\n",
       "      <td>45.386970</td>\n",
       "      <td>-26.350022</td>\n",
       "      <td>71.736992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4317</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Dundee Securities</td>\n",
       "      <td>9.75</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>46.333619</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>74.356775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4318</th>\n",
       "      <td>KEL</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>12.00</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>80.102916</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>108.126072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4319</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>10.00</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>50.085763</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>78.108919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4320</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>10.00</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>50.085763</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>78.108919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4321</th>\n",
       "      <td>KEL</td>\n",
       "      <td>FirstEnergy Capital</td>\n",
       "      <td>9.50</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>42.581475</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>70.604631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4322</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CSFB</td>\n",
       "      <td>8.50</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>27.572899</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>55.596055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4323</th>\n",
       "      <td>KEL</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>9.50</td>\n",
       "      <td>4.795714</td>\n",
       "      <td>42.581475</td>\n",
       "      <td>-28.023156</td>\n",
       "      <td>70.604631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4324</th>\n",
       "      <td>KEL</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>13.00</td>\n",
       "      <td>4.676250</td>\n",
       "      <td>56.035665</td>\n",
       "      <td>-43.872171</td>\n",
       "      <td>99.907836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4325</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>11.50</td>\n",
       "      <td>4.676250</td>\n",
       "      <td>38.031550</td>\n",
       "      <td>-43.872171</td>\n",
       "      <td>81.903721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4326</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Dundee Securities</td>\n",
       "      <td>12.75</td>\n",
       "      <td>4.817143</td>\n",
       "      <td>42.617450</td>\n",
       "      <td>-46.116970</td>\n",
       "      <td>88.734420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4327</th>\n",
       "      <td>KEL</td>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>11.00</td>\n",
       "      <td>4.593333</td>\n",
       "      <td>26.374528</td>\n",
       "      <td>-47.229061</td>\n",
       "      <td>73.603589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4328</th>\n",
       "      <td>MSI</td>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>19.50</td>\n",
       "      <td>20.207142</td>\n",
       "      <td>13.553647</td>\n",
       "      <td>17.671523</td>\n",
       "      <td>-4.117876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4329</th>\n",
       "      <td>MSI</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>17.50</td>\n",
       "      <td>18.902222</td>\n",
       "      <td>12.026886</td>\n",
       "      <td>21.003261</td>\n",
       "      <td>-8.976375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4330</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>19.00</td>\n",
       "      <td>18.902222</td>\n",
       "      <td>21.629190</td>\n",
       "      <td>21.003261</td>\n",
       "      <td>0.625929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4331</th>\n",
       "      <td>MSI</td>\n",
       "      <td>TD Securities</td>\n",
       "      <td>17.00</td>\n",
       "      <td>19.306250</td>\n",
       "      <td>9.717868</td>\n",
       "      <td>24.602386</td>\n",
       "      <td>-14.884518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4332</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>18.50</td>\n",
       "      <td>18.432500</td>\n",
       "      <td>11.434594</td>\n",
       "      <td>11.028008</td>\n",
       "      <td>0.406586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4333</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>19.00</td>\n",
       "      <td>18.424286</td>\n",
       "      <td>14.480819</td>\n",
       "      <td>11.011965</td>\n",
       "      <td>3.468855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4334</th>\n",
       "      <td>MSI</td>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>18.00</td>\n",
       "      <td>17.431428</td>\n",
       "      <td>1.752402</td>\n",
       "      <td>-1.461684</td>\n",
       "      <td>3.214085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4335</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>6.00</td>\n",
       "      <td>3.172857</td>\n",
       "      <td>34.615385</td>\n",
       "      <td>-28.814103</td>\n",
       "      <td>63.429487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4336</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>6.00</td>\n",
       "      <td>3.181429</td>\n",
       "      <td>34.099617</td>\n",
       "      <td>-28.895275</td>\n",
       "      <td>62.994891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4337</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>5.00</td>\n",
       "      <td>3.252222</td>\n",
       "      <td>12.930548</td>\n",
       "      <td>-26.544953</td>\n",
       "      <td>39.475500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4338</th>\n",
       "      <td>NSU</td>\n",
       "      <td>Paradigm Capital</td>\n",
       "      <td>5.50</td>\n",
       "      <td>3.787143</td>\n",
       "      <td>41.479100</td>\n",
       "      <td>-2.581534</td>\n",
       "      <td>44.060634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4339</th>\n",
       "      <td>NSU</td>\n",
       "      <td>CIBC</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.190000</td>\n",
       "      <td>31.926121</td>\n",
       "      <td>10.554090</td>\n",
       "      <td>21.372032</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4340 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ticker                        analyst  target  aver_close_at_12m  \\\n",
       "0        RY                  TD Securities   78.00          97.832857   \n",
       "1        RY                     Scotiabank   77.00          97.832857   \n",
       "2        RY                  TD Securities   80.00          97.656251   \n",
       "3        RY                     Scotiabank   77.00          97.656251   \n",
       "4        RY           Bank of America Corp   85.00          97.656251   \n",
       "5        RY        National Bank Financial   72.00          97.656251   \n",
       "6        RY                           CIBC   78.00          97.656251   \n",
       "7        RY                   Barclays PLC   58.00          98.369999   \n",
       "8        RY        National Bank Financial   74.00          96.436249   \n",
       "9        RY                           CIBC   80.00          92.876249   \n",
       "10       RY                     Scotiabank   86.00          88.355556   \n",
       "11       RY           Bank of America Corp   92.00          88.355556   \n",
       "12       RY        National Bank Financial   79.00          88.355556   \n",
       "13       RY              Canaccord Genuity   81.00          88.355556   \n",
       "14       RY              Canaccord Genuity   79.00          89.542858   \n",
       "15       RY                     Scotiabank   79.00          83.165001   \n",
       "16       RY                     Scotiabank   79.00          81.163751   \n",
       "17       RY                   Barclays PLC   71.00          80.888749   \n",
       "18       RY                           CIBC   83.00          81.605000   \n",
       "19       RY           Bank of America Corp   72.00          81.600001   \n",
       "20       RY              Canaccord Genuity   75.00          81.622223   \n",
       "21       RY                     Scotiabank   79.00          81.622223   \n",
       "22       RY           Bank of America Corp   72.00          81.622223   \n",
       "23       RY                     Scotiabank   82.00          80.896667   \n",
       "24       RY                           CIBC   84.00          80.394286   \n",
       "25       RY                   Barclays PLC   76.00          80.171250   \n",
       "26       RY                  TD Securities   90.00          79.502223   \n",
       "27       RY                           CIBC   87.00          79.502223   \n",
       "28       RY            BMO Capital Markets   90.00          79.502223   \n",
       "29       TD                           CIBC   58.00          69.498752   \n",
       "...     ...                            ...     ...                ...   \n",
       "4310    KEL                           CIBC    6.00           6.191250   \n",
       "4311    KEL  Raymond James Financial, Inc.    8.00           6.433333   \n",
       "4312    KEL               Paradigm Capital    7.50           5.960000   \n",
       "4313    KEL                     Scotiabank   11.00           5.758571   \n",
       "4314    KEL                           CIBC    7.00           5.647500   \n",
       "4315    KEL         Credit Suisse Group AG    9.00           4.844444   \n",
       "4316    KEL  Raymond James Financial, Inc.    9.50           4.812500   \n",
       "4317    KEL              Dundee Securities    9.75           4.795714   \n",
       "4318    KEL                  TD Securities   12.00           4.795714   \n",
       "4319    KEL           Royal Bank of Canada   10.00           4.795714   \n",
       "4320    KEL               Paradigm Capital   10.00           4.795714   \n",
       "4321    KEL            FirstEnergy Capital    9.50           4.795714   \n",
       "4322    KEL                           CSFB    8.50           4.795714   \n",
       "4323    KEL                           CIBC    9.50           4.795714   \n",
       "4324    KEL                  TD Securities   13.00           4.676250   \n",
       "4325    KEL                     Scotiabank   11.50           4.676250   \n",
       "4326    KEL              Dundee Securities   12.75           4.817143   \n",
       "4327    KEL  Raymond James Financial, Inc.   11.00           4.593333   \n",
       "4328    MSI        National Bank Financial   19.50          20.207142   \n",
       "4329    MSI                  TD Securities   17.50          18.902222   \n",
       "4330    MSI                     Scotiabank   19.00          18.902222   \n",
       "4331    MSI                  TD Securities   17.00          19.306250   \n",
       "4332    MSI                     Scotiabank   18.50          18.432500   \n",
       "4333    MSI                     Scotiabank   19.00          18.424286   \n",
       "4334    MSI                     Scotiabank   18.00          17.431428   \n",
       "4335    NSU           Royal Bank of Canada    6.00           3.172857   \n",
       "4336    NSU               Paradigm Capital    6.00           3.181429   \n",
       "4337    NSU              Canaccord Genuity    5.00           3.252222   \n",
       "4338    NSU               Paradigm Capital    5.50           3.787143   \n",
       "4339    NSU                           CIBC    5.00           4.190000   \n",
       "\n",
       "      target_perc  real_perc       error  \n",
       "0       10.980122  39.198750  -28.218627  \n",
       "1        9.557300  39.198750  -29.641449  \n",
       "2       15.891643  41.469292  -25.577649  \n",
       "3       11.545707  41.469292  -29.923586  \n",
       "4       23.134871  41.469292  -18.334421  \n",
       "5        4.302479  41.469292  -37.166813  \n",
       "6       12.994352  41.469292  -28.474940  \n",
       "7      -17.361260  40.158152  -57.519412  \n",
       "8        9.026617  42.082675  -33.056058  \n",
       "9       12.206459  30.266438  -18.059979  \n",
       "10      13.053765  16.150329   -3.096564  \n",
       "11      20.941237  16.150329    4.790908  \n",
       "12       3.851714  16.150329  -12.298614  \n",
       "13       6.480872  16.150329   -9.669457  \n",
       "14       4.590244  18.548219  -13.957975  \n",
       "15       4.292398   9.790852   -5.498455  \n",
       "16       9.111714  12.100202   -2.988488  \n",
       "17      -2.156687  11.470749  -13.627436  \n",
       "18      14.704259  12.776398    1.927861  \n",
       "19      -0.431768  12.843997  -13.275765  \n",
       "20       3.442163  12.575724   -9.133561  \n",
       "21       8.959078  12.575724   -3.616646  \n",
       "22      -0.695524  12.575724  -13.271247  \n",
       "23      11.081007   9.586381    1.494626  \n",
       "24      11.837835   7.037177    4.800658  \n",
       "25      -0.159519   5.320213   -5.479732  \n",
       "26      12.999671  -0.180834   13.180504  \n",
       "27       9.233015  -0.180834    9.413849  \n",
       "28      12.999671  -0.180834   13.180504  \n",
       "29       8.269554  29.734463  -21.464909  \n",
       "...           ...        ...         ...  \n",
       "4310    21.212121  25.075758   -3.863636  \n",
       "4311    36.785540   9.998372   26.787168  \n",
       "4312    22.249389  -2.852486   25.101874  \n",
       "4313    89.982729  -0.542808   90.525537  \n",
       "4314    16.805721  -5.762813   22.568534  \n",
       "4315    39.411374 -24.958816   64.370190  \n",
       "4316    45.386970 -26.350022   71.736992  \n",
       "4317    46.333619 -28.023156   74.356775  \n",
       "4318    80.102916 -28.023156  108.126072  \n",
       "4319    50.085763 -28.023156   78.108919  \n",
       "4320    50.085763 -28.023156   78.108919  \n",
       "4321    42.581475 -28.023156   70.604631  \n",
       "4322    27.572899 -28.023156   55.596055  \n",
       "4323    42.581475 -28.023156   70.604631  \n",
       "4324    56.035665 -43.872171   99.907836  \n",
       "4325    38.031550 -43.872171   81.903721  \n",
       "4326    42.617450 -46.116970   88.734420  \n",
       "4327    26.374528 -47.229061   73.603589  \n",
       "4328    13.553647  17.671523   -4.117876  \n",
       "4329    12.026886  21.003261   -8.976375  \n",
       "4330    21.629190  21.003261    0.625929  \n",
       "4331     9.717868  24.602386  -14.884518  \n",
       "4332    11.434594  11.028008    0.406586  \n",
       "4333    14.480819  11.011965    3.468855  \n",
       "4334     1.752402  -1.461684    3.214085  \n",
       "4335    34.615385 -28.814103   63.429487  \n",
       "4336    34.099617 -28.895275   62.994891  \n",
       "4337    12.930548 -26.544953   39.475500  \n",
       "4338    41.479100  -2.581534   44.060634  \n",
       "4339    31.926121  10.554090   21.372032  \n",
       "\n",
       "[4340 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['target_perc'] = (df['target'] - df['aver_close_at_analysis'])/df['aver_close_at_analysis'] * 100\n",
    "df['real_perc'] = (df['aver_close_at_12m'] - df['aver_close_at_analysis'])/df['aver_close_at_analysis'] * 100\n",
    "df['error'] = (df['target_perc']-df['real_perc'])\n",
    "df['abs_error'] = abs(df['error'])\n",
    "\n",
    "df[['ticker', 'analyst', 'target', 'aver_close_at_12m', 'target_perc', 'real_perc', 'error']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>analyst</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>mean_abs_err</th>\n",
       "      <th>10p</th>\n",
       "      <th>90p</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>16.365463</td>\n",
       "      <td>-2.532164</td>\n",
       "      <td>13.425469</td>\n",
       "      <td>-40.092491</td>\n",
       "      <td>30.074729</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>18.982738</td>\n",
       "      <td>-2.282366</td>\n",
       "      <td>14.435614</td>\n",
       "      <td>-55.866637</td>\n",
       "      <td>35.678834</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>16.120963</td>\n",
       "      <td>-0.586090</td>\n",
       "      <td>13.128664</td>\n",
       "      <td>-35.657920</td>\n",
       "      <td>37.853971</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Desjardins</td>\n",
       "      <td>18.972093</td>\n",
       "      <td>-0.542214</td>\n",
       "      <td>15.355082</td>\n",
       "      <td>-49.563907</td>\n",
       "      <td>33.312509</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>18.101054</td>\n",
       "      <td>4.703447</td>\n",
       "      <td>14.967193</td>\n",
       "      <td>-35.795798</td>\n",
       "      <td>47.363220</td>\n",
       "      <td>302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>19.098723</td>\n",
       "      <td>4.960119</td>\n",
       "      <td>15.799013</td>\n",
       "      <td>-31.113204</td>\n",
       "      <td>48.409297</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>18.198846</td>\n",
       "      <td>5.544864</td>\n",
       "      <td>15.402881</td>\n",
       "      <td>-34.362247</td>\n",
       "      <td>50.268754</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>TD Securities</td>\n",
       "      <td>20.179027</td>\n",
       "      <td>5.868849</td>\n",
       "      <td>17.002451</td>\n",
       "      <td>-44.254427</td>\n",
       "      <td>47.655748</td>\n",
       "      <td>551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>21.500147</td>\n",
       "      <td>7.580748</td>\n",
       "      <td>18.711069</td>\n",
       "      <td>-42.025280</td>\n",
       "      <td>51.284896</td>\n",
       "      <td>269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>18.735960</td>\n",
       "      <td>7.741048</td>\n",
       "      <td>15.962621</td>\n",
       "      <td>-32.351408</td>\n",
       "      <td>53.038985</td>\n",
       "      <td>706</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          analyst        std      mean  mean_abs_err  \\\n",
       "48        National Bank Financial  16.365463 -2.532164     13.425469   \n",
       "3             BMO Capital Markets  18.982738 -2.282366     14.435614   \n",
       "7                    Barclays PLC  16.120963 -0.586090     13.128664   \n",
       "20                     Desjardins  18.972093 -0.542214     15.355082   \n",
       "12              Canaccord Genuity  18.101054  4.703447     14.967193   \n",
       "10                           CIBC  19.098723  4.960119     15.799013   \n",
       "58           Royal Bank of Canada  18.198846  5.544864     15.402881   \n",
       "66                  TD Securities  20.179027  5.868849     17.002451   \n",
       "54  Raymond James Financial, Inc.  21.500147  7.580748     18.711069   \n",
       "62                     Scotiabank  18.735960  7.741048     15.962621   \n",
       "\n",
       "          10p        90p  count  \n",
       "48 -40.092491  30.074729    251  \n",
       "3  -55.866637  35.678834    248  \n",
       "7  -35.657920  37.853971    212  \n",
       "20 -49.563907  33.312509    115  \n",
       "12 -35.795798  47.363220    302  \n",
       "10 -31.113204  48.409297    446  \n",
       "58 -34.362247  50.268754    584  \n",
       "66 -44.254427  47.655748    551  \n",
       "54 -42.025280  51.284896    269  \n",
       "62 -32.351408  53.038985    706  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def filter_tail(data, p1=10, p2=90):\n",
    "    q1 = np.percentile(data, p1)\n",
    "    q3 = np.percentile(data, p2)\n",
    "    return data[(data > q1) & (data < q3)]\n",
    "\n",
    "analysts = df.groupby(['analyst'], as_index=False)['error'].agg({\n",
    "        'mean_abs_err': lambda xs:np.mean(np.abs(filter_tail(xs))),\n",
    "        'count': 'count',\n",
    "        '10p': lambda xs: np.percentile(xs, q=10),\n",
    "        '90p': lambda xs: np.percentile(xs, q=90),\n",
    "        'mean': lambda xs: np.mean(filter_tail(xs)),\n",
    "        'std': lambda xs: np.std(filter_tail(xs)),\n",
    "    })\n",
    "analysts = analysts[analysts['count'] > 100].sort_values(by='mean')\n",
    "analysts[['analyst','std', 'mean', 'mean_abs_err', '10p', '90p', 'count']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n"
     ]
    },
    {
     "data": {
      "image/png": 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EHJWPnw6skacYSiVpB+CaiHiu6fiKwBsi4vflRFaI5ePAScD7I+IXTed2BaaT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\nRMQIKQ4iIiJihBQHERERMcL/A8fiv0MuBeWTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117225b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "ax = plt.axes()\n",
    "ax.set_ylim(-100, 100)\n",
    "\n",
    "\n",
    "xlabels = analysts['analyst']\n",
    "x = [i for i in range(1, len(xlabels)+1)]\n",
    "print(x)\n",
    "y = analysts['mean_no_outliers']\n",
    "e = analysts['std_no_outliers']\n",
    "plt.errorbar(x, y, e, fmt='o')\n",
    "plt.xlim(0, len(x) + 1)\n",
    "plt.ylim(-50, 50)\n",
    "plt.xticks(x, xlabels, rotation='vertical')\n",
    "plt.axhline(y=0, xmin=0, xmax=10, ls='dashed', color='r')\n",
    "\n",
    "\n",
    "# for name, analyst in analyst_error.items():\n",
    "#     analyst['name'] = name\n",
    "\n",
    "# analysts = [analyst for analyst in analyst_error.values() if len(analyst['diffs']) > 100]\n",
    "\n",
    "# scotia = [analyst['mdiffs'] for analyst in analysts]\n",
    "# plt.boxplot(scotia, labels=[analyst['name'] for analyst in analysts])\n",
    "# plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>analyst_</th>\n",
       "      <th>rating_</th>\n",
       "      <th>target_perc_10p</th>\n",
       "      <th>target_perc_90p</th>\n",
       "      <th>target_perc_median</th>\n",
       "      <th>error_mae</th>\n",
       "      <th>real_perc_10p</th>\n",
       "      <th>real_perc_count</th>\n",
       "      <th>real_perc_mean</th>\n",
       "      <th>real_perc_90p</th>\n",
       "      <th>real_perc_median</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>Market Perform</td>\n",
       "      <td>-0.249542</td>\n",
       "      <td>23.049416</td>\n",
       "      <td>7.826429</td>\n",
       "      <td>17.048387</td>\n",
       "      <td>-13.624028</td>\n",
       "      <td>82</td>\n",
       "      <td>29.306269</td>\n",
       "      <td>86.571109</td>\n",
       "      <td>11.962594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.333289</td>\n",
       "      <td>34.091310</td>\n",
       "      <td>18.863216</td>\n",
       "      <td>13.267287</td>\n",
       "      <td>-13.430220</td>\n",
       "      <td>116</td>\n",
       "      <td>22.215401</td>\n",
       "      <td>64.711223</td>\n",
       "      <td>15.109094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>Equal Weight</td>\n",
       "      <td>-5.964636</td>\n",
       "      <td>10.834989</td>\n",
       "      <td>4.672844</td>\n",
       "      <td>11.317883</td>\n",
       "      <td>-23.540832</td>\n",
       "      <td>72</td>\n",
       "      <td>11.511754</td>\n",
       "      <td>37.461244</td>\n",
       "      <td>9.239600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>Overweight</td>\n",
       "      <td>7.779330</td>\n",
       "      <td>35.860591</td>\n",
       "      <td>16.416047</td>\n",
       "      <td>15.829631</td>\n",
       "      <td>-24.985571</td>\n",
       "      <td>67</td>\n",
       "      <td>6.922573</td>\n",
       "      <td>45.700799</td>\n",
       "      <td>4.983455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Barclays PLC</td>\n",
       "      <td>Underweight</td>\n",
       "      <td>-5.933928</td>\n",
       "      <td>4.076078</td>\n",
       "      <td>-0.165227</td>\n",
       "      <td>11.422580</td>\n",
       "      <td>0.826847</td>\n",
       "      <td>18</td>\n",
       "      <td>10.882553</td>\n",
       "      <td>28.607546</td>\n",
       "      <td>8.926869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.654132</td>\n",
       "      <td>48.858075</td>\n",
       "      <td>20.970424</td>\n",
       "      <td>20.556792</td>\n",
       "      <td>-30.621972</td>\n",
       "      <td>31</td>\n",
       "      <td>7.063513</td>\n",
       "      <td>44.412910</td>\n",
       "      <td>4.941616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Sector Outperform</td>\n",
       "      <td>-5.243566</td>\n",
       "      <td>88.473107</td>\n",
       "      <td>23.922862</td>\n",
       "      <td>28.943097</td>\n",
       "      <td>-10.783119</td>\n",
       "      <td>18</td>\n",
       "      <td>18.264682</td>\n",
       "      <td>52.674167</td>\n",
       "      <td>7.970106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Sector Outperformer</td>\n",
       "      <td>9.714648</td>\n",
       "      <td>59.846481</td>\n",
       "      <td>33.652243</td>\n",
       "      <td>21.688542</td>\n",
       "      <td>-14.518562</td>\n",
       "      <td>44</td>\n",
       "      <td>22.205022</td>\n",
       "      <td>60.020932</td>\n",
       "      <td>22.218981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>0.195654</td>\n",
       "      <td>26.805356</td>\n",
       "      <td>8.254495</td>\n",
       "      <td>11.465681</td>\n",
       "      <td>-16.642886</td>\n",
       "      <td>67</td>\n",
       "      <td>10.461603</td>\n",
       "      <td>30.427237</td>\n",
       "      <td>7.602369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Sector Performer</td>\n",
       "      <td>8.265862</td>\n",
       "      <td>37.588657</td>\n",
       "      <td>18.934782</td>\n",
       "      <td>21.738051</td>\n",
       "      <td>-25.391136</td>\n",
       "      <td>26</td>\n",
       "      <td>8.673522</td>\n",
       "      <td>45.964108</td>\n",
       "      <td>7.140492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>Buy</td>\n",
       "      <td>8.340735</td>\n",
       "      <td>61.226203</td>\n",
       "      <td>24.085974</td>\n",
       "      <td>18.796959</td>\n",
       "      <td>-16.561733</td>\n",
       "      <td>177</td>\n",
       "      <td>27.086690</td>\n",
       "      <td>86.234464</td>\n",
       "      <td>18.039215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>Hold</td>\n",
       "      <td>-0.667792</td>\n",
       "      <td>13.151801</td>\n",
       "      <td>4.692858</td>\n",
       "      <td>9.571621</td>\n",
       "      <td>-26.563878</td>\n",
       "      <td>77</td>\n",
       "      <td>7.077957</td>\n",
       "      <td>29.834777</td>\n",
       "      <td>5.668595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Desjardins</td>\n",
       "      <td>Buy</td>\n",
       "      <td>7.022355</td>\n",
       "      <td>33.585165</td>\n",
       "      <td>15.043961</td>\n",
       "      <td>16.075606</td>\n",
       "      <td>-41.695386</td>\n",
       "      <td>49</td>\n",
       "      <td>6.568182</td>\n",
       "      <td>32.880716</td>\n",
       "      <td>10.469046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Desjardins</td>\n",
       "      <td>Hold</td>\n",
       "      <td>-1.506179</td>\n",
       "      <td>12.755789</td>\n",
       "      <td>4.644954</td>\n",
       "      <td>13.913005</td>\n",
       "      <td>-20.336031</td>\n",
       "      <td>23</td>\n",
       "      <td>18.077687</td>\n",
       "      <td>73.211365</td>\n",
       "      <td>5.205551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>7.705539</td>\n",
       "      <td>53.579343</td>\n",
       "      <td>18.929633</td>\n",
       "      <td>12.407454</td>\n",
       "      <td>-1.526925</td>\n",
       "      <td>115</td>\n",
       "      <td>24.524428</td>\n",
       "      <td>59.093628</td>\n",
       "      <td>22.213398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>0.277827</td>\n",
       "      <td>45.337101</td>\n",
       "      <td>8.695651</td>\n",
       "      <td>14.170428</td>\n",
       "      <td>-5.738096</td>\n",
       "      <td>81</td>\n",
       "      <td>29.887596</td>\n",
       "      <td>61.182293</td>\n",
       "      <td>17.410111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>Market Perform</td>\n",
       "      <td>1.293840</td>\n",
       "      <td>22.991035</td>\n",
       "      <td>9.964704</td>\n",
       "      <td>18.256000</td>\n",
       "      <td>-29.030522</td>\n",
       "      <td>43</td>\n",
       "      <td>9.578731</td>\n",
       "      <td>59.109207</td>\n",
       "      <td>1.564818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.437804</td>\n",
       "      <td>54.483693</td>\n",
       "      <td>21.236522</td>\n",
       "      <td>15.914385</td>\n",
       "      <td>-18.695776</td>\n",
       "      <td>106</td>\n",
       "      <td>20.773835</td>\n",
       "      <td>59.159844</td>\n",
       "      <td>13.004491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>Strong-Buy</td>\n",
       "      <td>29.080472</td>\n",
       "      <td>110.781914</td>\n",
       "      <td>58.061307</td>\n",
       "      <td>29.677365</td>\n",
       "      <td>-20.275171</td>\n",
       "      <td>16</td>\n",
       "      <td>58.672026</td>\n",
       "      <td>157.687796</td>\n",
       "      <td>23.429495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.605887</td>\n",
       "      <td>68.415991</td>\n",
       "      <td>24.858790</td>\n",
       "      <td>18.719436</td>\n",
       "      <td>-24.447795</td>\n",
       "      <td>289</td>\n",
       "      <td>18.288848</td>\n",
       "      <td>59.530589</td>\n",
       "      <td>12.884379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>-0.678788</td>\n",
       "      <td>36.516168</td>\n",
       "      <td>11.101983</td>\n",
       "      <td>13.099112</td>\n",
       "      <td>-11.590060</td>\n",
       "      <td>220</td>\n",
       "      <td>21.330160</td>\n",
       "      <td>51.282201</td>\n",
       "      <td>10.498096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>Underperform</td>\n",
       "      <td>-16.494394</td>\n",
       "      <td>12.386762</td>\n",
       "      <td>-3.108599</td>\n",
       "      <td>18.589142</td>\n",
       "      <td>-12.534722</td>\n",
       "      <td>13</td>\n",
       "      <td>12.373937</td>\n",
       "      <td>55.714870</td>\n",
       "      <td>1.355833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>Focus Stock</td>\n",
       "      <td>22.755399</td>\n",
       "      <td>107.267439</td>\n",
       "      <td>53.374233</td>\n",
       "      <td>42.706236</td>\n",
       "      <td>-35.570016</td>\n",
       "      <td>17</td>\n",
       "      <td>25.281240</td>\n",
       "      <td>122.901480</td>\n",
       "      <td>19.093144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>7.239955</td>\n",
       "      <td>50.402485</td>\n",
       "      <td>19.082141</td>\n",
       "      <td>15.926344</td>\n",
       "      <td>-21.632875</td>\n",
       "      <td>246</td>\n",
       "      <td>18.407885</td>\n",
       "      <td>51.023159</td>\n",
       "      <td>14.897374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>Sector Outperform</td>\n",
       "      <td>7.715629</td>\n",
       "      <td>63.476109</td>\n",
       "      <td>23.089584</td>\n",
       "      <td>27.679194</td>\n",
       "      <td>-30.066914</td>\n",
       "      <td>72</td>\n",
       "      <td>4.399665</td>\n",
       "      <td>24.425995</td>\n",
       "      <td>-1.841137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>1.545315</td>\n",
       "      <td>29.410020</td>\n",
       "      <td>12.028301</td>\n",
       "      <td>11.578271</td>\n",
       "      <td>-13.199191</td>\n",
       "      <td>259</td>\n",
       "      <td>11.854037</td>\n",
       "      <td>37.447401</td>\n",
       "      <td>9.366651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>TD Securities</td>\n",
       "      <td>Action List Buy</td>\n",
       "      <td>18.333724</td>\n",
       "      <td>77.701954</td>\n",
       "      <td>38.001830</td>\n",
       "      <td>19.629657</td>\n",
       "      <td>-0.893705</td>\n",
       "      <td>36</td>\n",
       "      <td>28.334038</td>\n",
       "      <td>71.459495</td>\n",
       "      <td>15.928740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>TD Securities</td>\n",
       "      <td>Buy</td>\n",
       "      <td>7.118945</td>\n",
       "      <td>53.930730</td>\n",
       "      <td>20.378332</td>\n",
       "      <td>18.843727</td>\n",
       "      <td>-25.138121</td>\n",
       "      <td>291</td>\n",
       "      <td>12.881452</td>\n",
       "      <td>51.579799</td>\n",
       "      <td>11.156412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>TD Securities</td>\n",
       "      <td>Hold</td>\n",
       "      <td>-5.652250</td>\n",
       "      <td>20.785200</td>\n",
       "      <td>8.066294</td>\n",
       "      <td>14.755427</td>\n",
       "      <td>-20.610854</td>\n",
       "      <td>188</td>\n",
       "      <td>16.521899</td>\n",
       "      <td>49.528556</td>\n",
       "      <td>9.195105</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         analyst_              rating_  target_perc_10p  \\\n",
       "0             BMO Capital Markets       Market Perform        -0.249542   \n",
       "2             BMO Capital Markets           Outperform         9.333289   \n",
       "5                    Barclays PLC         Equal Weight        -5.964636   \n",
       "7                    Barclays PLC           Overweight         7.779330   \n",
       "9                    Barclays PLC          Underweight        -5.933928   \n",
       "12                           CIBC           Outperform         9.654132   \n",
       "13                           CIBC    Sector Outperform        -5.243566   \n",
       "14                           CIBC  Sector Outperformer         9.714648   \n",
       "15                           CIBC       Sector Perform         0.195654   \n",
       "16                           CIBC     Sector Performer         8.265862   \n",
       "21              Canaccord Genuity                  Buy         8.340735   \n",
       "22              Canaccord Genuity                 Hold        -0.667792   \n",
       "27                     Desjardins                  Buy         7.022355   \n",
       "28                     Desjardins                 Hold        -1.506179   \n",
       "31        National Bank Financial           Outperform         7.705539   \n",
       "32        National Bank Financial       Sector Perform         0.277827   \n",
       "35  Raymond James Financial, Inc.       Market Perform         1.293840   \n",
       "36  Raymond James Financial, Inc.           Outperform         9.437804   \n",
       "37  Raymond James Financial, Inc.           Strong-Buy        29.080472   \n",
       "41           Royal Bank of Canada           Outperform         9.605887   \n",
       "43           Royal Bank of Canada       Sector Perform        -0.678788   \n",
       "45           Royal Bank of Canada         Underperform       -16.494394   \n",
       "47                     Scotiabank          Focus Stock        22.755399   \n",
       "49                     Scotiabank           Outperform         7.239955   \n",
       "50                     Scotiabank    Sector Outperform         7.715629   \n",
       "51                     Scotiabank       Sector Perform         1.545315   \n",
       "54                  TD Securities      Action List Buy        18.333724   \n",
       "55                  TD Securities                  Buy         7.118945   \n",
       "56                  TD Securities                 Hold        -5.652250   \n",
       "\n",
       "    target_perc_90p  target_perc_median  error_mae  real_perc_10p  \\\n",
       "0         23.049416            7.826429  17.048387     -13.624028   \n",
       "2         34.091310           18.863216  13.267287     -13.430220   \n",
       "5         10.834989            4.672844  11.317883     -23.540832   \n",
       "7         35.860591           16.416047  15.829631     -24.985571   \n",
       "9          4.076078           -0.165227  11.422580       0.826847   \n",
       "12        48.858075           20.970424  20.556792     -30.621972   \n",
       "13        88.473107           23.922862  28.943097     -10.783119   \n",
       "14        59.846481           33.652243  21.688542     -14.518562   \n",
       "15        26.805356            8.254495  11.465681     -16.642886   \n",
       "16        37.588657           18.934782  21.738051     -25.391136   \n",
       "21        61.226203           24.085974  18.796959     -16.561733   \n",
       "22        13.151801            4.692858   9.571621     -26.563878   \n",
       "27        33.585165           15.043961  16.075606     -41.695386   \n",
       "28        12.755789            4.644954  13.913005     -20.336031   \n",
       "31        53.579343           18.929633  12.407454      -1.526925   \n",
       "32        45.337101            8.695651  14.170428      -5.738096   \n",
       "35        22.991035            9.964704  18.256000     -29.030522   \n",
       "36        54.483693           21.236522  15.914385     -18.695776   \n",
       "37       110.781914           58.061307  29.677365     -20.275171   \n",
       "41        68.415991           24.858790  18.719436     -24.447795   \n",
       "43        36.516168           11.101983  13.099112     -11.590060   \n",
       "45        12.386762           -3.108599  18.589142     -12.534722   \n",
       "47       107.267439           53.374233  42.706236     -35.570016   \n",
       "49        50.402485           19.082141  15.926344     -21.632875   \n",
       "50        63.476109           23.089584  27.679194     -30.066914   \n",
       "51        29.410020           12.028301  11.578271     -13.199191   \n",
       "54        77.701954           38.001830  19.629657      -0.893705   \n",
       "55        53.930730           20.378332  18.843727     -25.138121   \n",
       "56        20.785200            8.066294  14.755427     -20.610854   \n",
       "\n",
       "    real_perc_count  real_perc_mean  real_perc_90p  real_perc_median  \n",
       "0                82       29.306269      86.571109         11.962594  \n",
       "2               116       22.215401      64.711223         15.109094  \n",
       "5                72       11.511754      37.461244          9.239600  \n",
       "7                67        6.922573      45.700799          4.983455  \n",
       "9                18       10.882553      28.607546          8.926869  \n",
       "12               31        7.063513      44.412910          4.941616  \n",
       "13               18       18.264682      52.674167          7.970106  \n",
       "14               44       22.205022      60.020932         22.218981  \n",
       "15               67       10.461603      30.427237          7.602369  \n",
       "16               26        8.673522      45.964108          7.140492  \n",
       "21              177       27.086690      86.234464         18.039215  \n",
       "22               77        7.077957      29.834777          5.668595  \n",
       "27               49        6.568182      32.880716         10.469046  \n",
       "28               23       18.077687      73.211365          5.205551  \n",
       "31              115       24.524428      59.093628         22.213398  \n",
       "32               81       29.887596      61.182293         17.410111  \n",
       "35               43        9.578731      59.109207          1.564818  \n",
       "36              106       20.773835      59.159844         13.004491  \n",
       "37               16       58.672026     157.687796         23.429495  \n",
       "41              289       18.288848      59.530589         12.884379  \n",
       "43              220       21.330160      51.282201         10.498096  \n",
       "45               13       12.373937      55.714870          1.355833  \n",
       "47               17       25.281240     122.901480         19.093144  \n",
       "49              246       18.407885      51.023159         14.897374  \n",
       "50               72        4.399665      24.425995         -1.841137  \n",
       "51              259       11.854037      37.447401          9.366651  \n",
       "54               36       28.334038      71.459495         15.928740  \n",
       "55              291       12.881452      51.579799         11.156412  \n",
       "56              188       16.521899      49.528556          9.195105  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings = df[(df['rating'] != 'NaN') & (df['analyst'].isin(analysts['analyst']))]\n",
    "ratings_agg = ratings.groupby(['analyst', 'rating'], as_index=False).agg({\n",
    "        'error': {\n",
    "            'mae': lambda xs: np.mean(np.abs(filter_tail(xs))),\n",
    "        },\n",
    "        'real_perc': {\n",
    "            'mean': 'mean',\n",
    "            'median': 'median',\n",
    "            '10p': lambda xs: np.percentile(xs, 10),\n",
    "            '90p': lambda xs: np.percentile(xs, 90),\n",
    "            'count': 'count',\n",
    "        },\n",
    "        'target_perc': {\n",
    "            'median': 'median',\n",
    "            '10p': lambda xs: np.percentile(xs, 10),\n",
    "            '90p': lambda xs: np.percentile(xs, 90),\n",
    "        }\n",
    "    })\n",
    "\n",
    "ratings_agg.columns = list(map('_'.join, ratings_agg.columns.values))\n",
    "ratings_agg[ratings_agg['real_perc_count'] > 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>analyst_</th>\n",
       "      <th>rating_</th>\n",
       "      <th>target_perc_10p</th>\n",
       "      <th>target_perc_90p</th>\n",
       "      <th>target_perc_median</th>\n",
       "      <th>error_mae</th>\n",
       "      <th>real_perc_10p</th>\n",
       "      <th>real_perc_count</th>\n",
       "      <th>real_perc_mean</th>\n",
       "      <th>real_perc_90p</th>\n",
       "      <th>real_perc_median</th>\n",
       "      <th>analyst_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>0.277827</td>\n",
       "      <td>45.337101</td>\n",
       "      <td>8.695651</td>\n",
       "      <td>14.170428</td>\n",
       "      <td>-5.738096</td>\n",
       "      <td>81</td>\n",
       "      <td>29.887596</td>\n",
       "      <td>61.182293</td>\n",
       "      <td>17.410111</td>\n",
       "      <td>National Bank Financial Sector Perform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>Market Perform</td>\n",
       "      <td>-0.249542</td>\n",
       "      <td>23.049416</td>\n",
       "      <td>7.826429</td>\n",
       "      <td>17.048387</td>\n",
       "      <td>-13.624028</td>\n",
       "      <td>82</td>\n",
       "      <td>29.306269</td>\n",
       "      <td>86.571109</td>\n",
       "      <td>11.962594</td>\n",
       "      <td>BMO Capital Markets Market Perform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>TD Securities</td>\n",
       "      <td>Action List Buy</td>\n",
       "      <td>18.333724</td>\n",
       "      <td>77.701954</td>\n",
       "      <td>38.001830</td>\n",
       "      <td>19.629657</td>\n",
       "      <td>-0.893705</td>\n",
       "      <td>36</td>\n",
       "      <td>28.334038</td>\n",
       "      <td>71.459495</td>\n",
       "      <td>15.928740</td>\n",
       "      <td>TD Securities Action List Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Canaccord Genuity</td>\n",
       "      <td>Buy</td>\n",
       "      <td>8.340735</td>\n",
       "      <td>61.226203</td>\n",
       "      <td>24.085974</td>\n",
       "      <td>18.796959</td>\n",
       "      <td>-16.561733</td>\n",
       "      <td>177</td>\n",
       "      <td>27.086690</td>\n",
       "      <td>86.234464</td>\n",
       "      <td>18.039215</td>\n",
       "      <td>Canaccord Genuity Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>National Bank Financial</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>7.705539</td>\n",
       "      <td>53.579343</td>\n",
       "      <td>18.929633</td>\n",
       "      <td>12.407454</td>\n",
       "      <td>-1.526925</td>\n",
       "      <td>115</td>\n",
       "      <td>24.524428</td>\n",
       "      <td>59.093628</td>\n",
       "      <td>22.213398</td>\n",
       "      <td>National Bank Financial Outperform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BMO Capital Markets</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.333289</td>\n",
       "      <td>34.091310</td>\n",
       "      <td>18.863216</td>\n",
       "      <td>13.267287</td>\n",
       "      <td>-13.430220</td>\n",
       "      <td>116</td>\n",
       "      <td>22.215401</td>\n",
       "      <td>64.711223</td>\n",
       "      <td>15.109094</td>\n",
       "      <td>BMO Capital Markets Outperform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CIBC</td>\n",
       "      <td>Sector Outperformer</td>\n",
       "      <td>9.714648</td>\n",
       "      <td>59.846481</td>\n",
       "      <td>33.652243</td>\n",
       "      <td>21.688542</td>\n",
       "      <td>-14.518562</td>\n",
       "      <td>44</td>\n",
       "      <td>22.205022</td>\n",
       "      <td>60.020932</td>\n",
       "      <td>22.218981</td>\n",
       "      <td>CIBC Sector Outperformer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>Sector Perform</td>\n",
       "      <td>-0.678788</td>\n",
       "      <td>36.516168</td>\n",
       "      <td>11.101983</td>\n",
       "      <td>13.099112</td>\n",
       "      <td>-11.590060</td>\n",
       "      <td>220</td>\n",
       "      <td>21.330160</td>\n",
       "      <td>51.282201</td>\n",
       "      <td>10.498096</td>\n",
       "      <td>Royal Bank of Canada Sector Perform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Raymond James Financial, Inc.</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>9.437804</td>\n",
       "      <td>54.483693</td>\n",
       "      <td>21.236522</td>\n",
       "      <td>15.914385</td>\n",
       "      <td>-18.695776</td>\n",
       "      <td>106</td>\n",
       "      <td>20.773835</td>\n",
       "      <td>59.159844</td>\n",
       "      <td>13.004491</td>\n",
       "      <td>Raymond James Financial, Inc. Outperform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Scotiabank</td>\n",
       "      <td>Outperform</td>\n",
       "      <td>7.239955</td>\n",
       "      <td>50.402485</td>\n",
       "      <td>19.082141</td>\n",
       "      <td>15.926344</td>\n",
       "      <td>-21.632875</td>\n",
       "      <td>246</td>\n",
       "      <td>18.407885</td>\n",
       "      <td>51.023159</td>\n",
       "      <td>14.897374</td>\n",
       "      <td>Scotiabank Outperform</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         analyst_              rating_  target_perc_10p  \\\n",
       "32        National Bank Financial       Sector Perform         0.277827   \n",
       "0             BMO Capital Markets       Market Perform        -0.249542   \n",
       "54                  TD Securities      Action List Buy        18.333724   \n",
       "21              Canaccord Genuity                  Buy         8.340735   \n",
       "31        National Bank Financial           Outperform         7.705539   \n",
       "2             BMO Capital Markets           Outperform         9.333289   \n",
       "14                           CIBC  Sector Outperformer         9.714648   \n",
       "43           Royal Bank of Canada       Sector Perform        -0.678788   \n",
       "36  Raymond James Financial, Inc.           Outperform         9.437804   \n",
       "49                     Scotiabank           Outperform         7.239955   \n",
       "\n",
       "    target_perc_90p  target_perc_median  error_mae  real_perc_10p  \\\n",
       "32        45.337101            8.695651  14.170428      -5.738096   \n",
       "0         23.049416            7.826429  17.048387     -13.624028   \n",
       "54        77.701954           38.001830  19.629657      -0.893705   \n",
       "21        61.226203           24.085974  18.796959     -16.561733   \n",
       "31        53.579343           18.929633  12.407454      -1.526925   \n",
       "2         34.091310           18.863216  13.267287     -13.430220   \n",
       "14        59.846481           33.652243  21.688542     -14.518562   \n",
       "43        36.516168           11.101983  13.099112     -11.590060   \n",
       "36        54.483693           21.236522  15.914385     -18.695776   \n",
       "49        50.402485           19.082141  15.926344     -21.632875   \n",
       "\n",
       "    real_perc_count  real_perc_mean  real_perc_90p  real_perc_median  \\\n",
       "32               81       29.887596      61.182293         17.410111   \n",
       "0                82       29.306269      86.571109         11.962594   \n",
       "54               36       28.334038      71.459495         15.928740   \n",
       "21              177       27.086690      86.234464         18.039215   \n",
       "31              115       24.524428      59.093628         22.213398   \n",
       "2               116       22.215401      64.711223         15.109094   \n",
       "14               44       22.205022      60.020932         22.218981   \n",
       "43              220       21.330160      51.282201         10.498096   \n",
       "36              106       20.773835      59.159844         13.004491   \n",
       "49              246       18.407885      51.023159         14.897374   \n",
       "\n",
       "                              analyst_rating  \n",
       "32    National Bank Financial Sector Perform  \n",
       "0         BMO Capital Markets Market Perform  \n",
       "54             TD Securities Action List Buy  \n",
       "21                     Canaccord Genuity Buy  \n",
       "31        National Bank Financial Outperform  \n",
       "2             BMO Capital Markets Outperform  \n",
       "14                  CIBC Sector Outperformer  \n",
       "43       Royal Bank of Canada Sector Perform  \n",
       "36  Raymond James Financial, Inc. Outperform  \n",
       "49                     Scotiabank Outperform  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_ratings = ratings_agg[ratings_agg['real_perc_count'] > 20]\n",
    "top_ratings = top_ratings.sort_values('real_perc_mean', ascending=False)\n",
    "top_ratings['analyst_rating'] = top_ratings['analyst_'] + ' ' + top_ratings['rating_']\n",
    "top_analyst_ratings = top_ratings.head(10)\n",
    "top_analyst_ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x11442b320>,\n",
       "  <matplotlib.axis.XTick at 0x11417fac8>,\n",
       "  <matplotlib.axis.XTick at 0x11442d0f0>,\n",
       "  <matplotlib.axis.XTick at 0x114437208>,\n",
       "  <matplotlib.axis.XTick at 0x114437eb8>,\n",
       "  <matplotlib.axis.XTick at 0x1140cb908>,\n",
       "  <matplotlib.axis.XTick at 0x1140e2358>,\n",
       "  <matplotlib.axis.XTick at 0x1140e2d68>,\n",
       "  <matplotlib.axis.XTick at 0x1140e07b8>,\n",
       "  <matplotlib.axis.XTick at 0x1140ea208>],\n",
       " <a list of 10 Text xticklabel objects>)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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dcI/jhBMGm6mbJ3MyKzn23JTx8abkbNfMsXyz5vOdgz6r+1h+k64e3WCm/5qSs7vyv2ez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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11417fda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ax = plt.axes()\n",
    "#ax.set_ylim(-100, 100)\n",
    "df['analyst_rating'] = df['analyst'] + ' '+ df['rating']\n",
    "ratings_perf = df[df['analyst_rating']\n",
    "                .isin(top_analyst_ratings['analyst_rating'])]\n",
    "                .groupby('analyst_rating',as_index=False)['real_perc'].agg({\n",
    "                    'mean': 'mean',\n",
    "                    'std': 'std',\n",
    "                }).sort_values(by='mean')\n",
    "#ratings_perf\n",
    "#ratings_perf.boxplot(ax=ax, by='analyst_rating', column='real_perc', return_type='axes', rot=90)\n",
    "xlabels = ratings_perf['analyst_rating']\n",
    "x = [i for i in range(1, len(xlabels)+1)]\n",
    "print(x)\n",
    "y = ratings_perf['mean']\n",
    "e = ratings_perf['std']\n",
    "plt.errorbar(x, y, e, fmt='o')\n",
    "plt.xlim(0, len(x) + 1)\n",
    "plt.ylim(-50, 150)\n",
    "plt.xticks(x, xlabels, rotation='vertical')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}