2016-06-06 13 views
1

ich einen Datenrahmen a habe, die die folgenden erzeugt:Wie bekomme ich ein anderes Feld von einer Pandas Group?

a = instruments['corn'].contracts().reset_index() 

<table border="1" class="dataframe"> 
 
    <thead> 
 
    <tr style="text-align: right;"> 
 
     <th></th> 
 
     <th>Date</th> 
 
     <th>Change</th> 
 
     <th>Contract</th> 
 
     <th>High</th> 
 
     <th>Last</th> 
 
     <th>Low</th> 
 
     <th>Open</th> 
 
     <th>Prev. Day Open Interest</th> 
 
     <th>Settle</th> 
 
     <th>Volatility</th> 
 
     <th>Volume</th> 
 
     <th>Expiration</th> 
 
    </tr> 
 
    </thead> 
 
    <tbody> 
 
    <tr> 
 
     <th>0</th> 
 
     <td>1979-03-22</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>273.50</td> 
 
     <td>0.0</td> 
 
     <td>273.00</td> 
 
     <td>273.50</td> 
 
     <td>1390.0</td> 
 
     <td>273.25</td> 
 
     <td>0.000000</td> 
 
     <td>1390.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>1</th> 
 
     <td>1979-03-23</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>273.25</td> 
 
     <td>0.0</td> 
 
     <td>272.50</td> 
 
     <td>273.25</td> 
 
     <td>1435.0</td> 
 
     <td>272.50</td> 
 
     <td>0.000000</td> 
 
     <td>45.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>2</th> 
 
     <td>1979-03-26</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>274.50</td> 
 
     <td>0.0</td> 
 
     <td>273.25</td> 
 
     <td>273.50</td> 
 
     <td>1580.0</td> 
 
     <td>274.50</td> 
 
     <td>0.000000</td> 
 
     <td>195.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>3</th> 
 
     <td>1979-03-27</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>274.50</td> 
 
     <td>0.0</td> 
 
     <td>273.50</td> 
 
     <td>273.50</td> 
 
     <td>1710.0</td> 
 
     <td>274.50</td> 
 
     <td>0.000000</td> 
 
     <td>375.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>4</th> 
 
     <td>1979-03-28</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>277.75</td> 
 
     <td>0.0</td> 
 
     <td>275.00</td> 
 
     <td>275.00</td> 
 
     <td>2365.0</td> 
 
     <td>277.75</td> 
 
     <td>0.000000</td> 
 
     <td>795.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>5</th> 
 
     <td>1979-03-29</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>279.00</td> 
 
     <td>0.0</td> 
 
     <td>277.00</td> 
 
     <td>277.00</td> 
 
     <td>3130.0</td> 
 
     <td>277.00</td> 
 
     <td>0.000000</td> 
 
     <td>1890.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>6</th> 
 
     <td>1979-03-30</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.50</td> 
 
     <td>0.0</td> 
 
     <td>277.00</td> 
 
     <td>277.00</td> 
 
     <td>3550.0</td> 
 
     <td>278.50</td> 
 
     <td>0.000000</td> 
 
     <td>620.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>7</th> 
 
     <td>1979-04-02</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>281.00</td> 
 
     <td>0.0</td> 
 
     <td>279.00</td> 
 
     <td>279.00</td> 
 
     <td>4550.0</td> 
 
     <td>279.75</td> 
 
     <td>0.000000</td> 
 
     <td>1100.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>8</th> 
 
     <td>1979-04-03</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>279.50</td> 
 
     <td>0.0</td> 
 
     <td>277.25</td> 
 
     <td>279.50</td> 
 
     <td>4685.0</td> 
 
     <td>278.25</td> 
 
     <td>0.000000</td> 
 
     <td>355.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>9</th> 
 
     <td>1979-04-04</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.75</td> 
 
     <td>0.0</td> 
 
     <td>278.00</td> 
 
     <td>278.00</td> 
 
     <td>5095.0</td> 
 
     <td>278.50</td> 
 
     <td>0.000000</td> 
 
     <td>670.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>10</th> 
 
     <td>1979-04-05</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>279.25</td> 
 
     <td>0.0</td> 
 
     <td>278.50</td> 
 
     <td>278.50</td> 
 
     <td>5325.0</td> 
 
     <td>279.00</td> 
 
     <td>0.000000</td> 
 
     <td>230.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>11</th> 
 
     <td>1979-04-06</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>280.00</td> 
 
     <td>0.0</td> 
 
     <td>278.00</td> 
 
     <td>278.50</td> 
 
     <td>5380.0</td> 
 
     <td>280.00</td> 
 
     <td>0.000000</td> 
 
     <td>395.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>12</th> 
 
     <td>1979-04-09</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>281.50</td> 
 
     <td>0.0</td> 
 
     <td>279.50</td> 
 
     <td>279.50</td> 
 
     <td>5925.0</td> 
 
     <td>280.50</td> 
 
     <td>0.000000</td> 
 
     <td>630.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>13</th> 
 
     <td>1979-04-10</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>280.00</td> 
 
     <td>0.0</td> 
 
     <td>278.75</td> 
 
     <td>280.00</td> 
 
     <td>6075.0</td> 
 
     <td>280.00</td> 
 
     <td>0.000000</td> 
 
     <td>365.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>14</th> 
 
     <td>1979-04-11</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>281.00</td> 
 
     <td>0.0</td> 
 
     <td>279.00</td> 
 
     <td>280.00</td> 
 
     <td>5755.0</td> 
 
     <td>280.50</td> 
 
     <td>0.000000</td> 
 
     <td>1520.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>15</th> 
 
     <td>1979-04-12</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>280.25</td> 
 
     <td>0.0</td> 
 
     <td>278.25</td> 
 
     <td>280.25</td> 
 
     <td>5735.0</td> 
 
     <td>278.25</td> 
 
     <td>0.000000</td> 
 
     <td>320.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>16</th> 
 
     <td>1979-04-16</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>277.25</td> 
 
     <td>0.0</td> 
 
     <td>275.75</td> 
 
     <td>276.00</td> 
 
     <td>6110.0</td> 
 
     <td>276.50</td> 
 
     <td>0.000000</td> 
 
     <td>860.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>17</th> 
 
     <td>1979-04-17</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.75</td> 
 
     <td>0.0</td> 
 
     <td>276.75</td> 
 
     <td>276.75</td> 
 
     <td>6555.0</td> 
 
     <td>278.75</td> 
 
     <td>0.000000</td> 
 
     <td>965.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>18</th> 
 
     <td>1979-04-18</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.50</td> 
 
     <td>0.0</td> 
 
     <td>277.25</td> 
 
     <td>278.00</td> 
 
     <td>6630.0</td> 
 
     <td>278.00</td> 
 
     <td>0.000000</td> 
 
     <td>120.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>19</th> 
 
     <td>1979-04-19</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.00</td> 
 
     <td>0.0</td> 
 
     <td>276.25</td> 
 
     <td>277.25</td> 
 
     <td>6795.0</td> 
 
     <td>277.00</td> 
 
     <td>0.000000</td> 
 
     <td>1315.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>20</th> 
 
     <td>1979-04-20</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>277.00</td> 
 
     <td>0.0</td> 
 
     <td>275.75</td> 
 
     <td>276.25</td> 
 
     <td>6910.0</td> 
 
     <td>277.00</td> 
 
     <td>0.000000</td> 
 
     <td>255.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>21</th> 
 
     <td>1979-04-23</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>278.50</td> 
 
     <td>0.0</td> 
 
     <td>276.25</td> 
 
     <td>276.25</td> 
 
     <td>8580.0</td> 
 
     <td>278.50</td> 
 
     <td>0.000000</td> 
 
     <td>2290.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>22</th> 
 
     <td>1979-04-24</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>282.00</td> 
 
     <td>0.0</td> 
 
     <td>279.00</td> 
 
     <td>279.50</td> 
 
     <td>9160.0</td> 
 
     <td>282.00</td> 
 
     <td>0.000000</td> 
 
     <td>790.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>23</th> 
 
     <td>1979-04-25</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>282.50</td> 
 
     <td>0.0</td> 
 
     <td>280.50</td> 
 
     <td>280.75</td> 
 
     <td>10500.0</td> 
 
     <td>281.25</td> 
 
     <td>0.000000</td> 
 
     <td>1870.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>24</th> 
 
     <td>1979-04-26</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>283.00</td> 
 
     <td>0.0</td> 
 
     <td>279.75</td> 
 
     <td>280.75</td> 
 
     <td>10780.0</td> 
 
     <td>282.00</td> 
 
     <td>0.000000</td> 
 
     <td>1950.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>25</th> 
 
     <td>1979-04-27</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>284.75</td> 
 
     <td>0.0</td> 
 
     <td>282.25</td> 
 
     <td>283.00</td> 
 
     <td>10485.0</td> 
 
     <td>282.25</td> 
 
     <td>0.000000</td> 
 
     <td>1880.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>26</th> 
 
     <td>1979-04-30</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>287.25</td> 
 
     <td>0.0</td> 
 
     <td>282.50</td> 
 
     <td>282.75</td> 
 
     <td>11765.0</td> 
 
     <td>287.25</td> 
 
     <td>0.000000</td> 
 
     <td>5070.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>27</th> 
 
     <td>1979-05-01</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>289.00</td> 
 
     <td>0.0</td> 
 
     <td>286.50</td> 
 
     <td>287.00</td> 
 
     <td>13000.0</td> 
 
     <td>288.25</td> 
 
     <td>0.000000</td> 
 
     <td>2360.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>28</th> 
 
     <td>1979-05-02</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>295.00</td> 
 
     <td>0.0</td> 
 
     <td>289.00</td> 
 
     <td>289.00</td> 
 
     <td>14730.0</td> 
 
     <td>290.25</td> 
 
     <td>0.000000</td> 
 
     <td>3200.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>29</th> 
 
     <td>1979-05-03</td> 
 
     <td>0.0</td> 
 
     <td>198005</td> 
 
     <td>291.75</td> 
 
     <td>0.0</td> 
 
     <td>285.00</td> 
 
     <td>291.75</td> 
 
     <td>15100.0</td> 
 
     <td>287.00</td> 
 
     <td>0.000000</td> 
 
     <td>1680.0</td> 
 
     <td>1980-05-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>...</th> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
     <td>...</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115809</th> 
 
     <td>1990-08-08</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>253.75</td> 
 
     <td>0.0</td> 
 
     <td>251.75</td> 
 
     <td>253.75</td> 
 
     <td>161630.0</td> 
 
     <td>252.25</td> 
 
     <td>0.015012</td> 
 
     <td>38160.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115810</th> 
 
     <td>1990-08-09</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>252.25</td> 
 
     <td>0.0</td> 
 
     <td>250.00</td> 
 
     <td>251.50</td> 
 
     <td>159955.0</td> 
 
     <td>250.25</td> 
 
     <td>0.014661</td> 
 
     <td>30105.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115811</th> 
 
     <td>1990-08-10</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>254.00</td> 
 
     <td>0.0</td> 
 
     <td>249.75</td> 
 
     <td>252.50</td> 
 
     <td>159195.0</td> 
 
     <td>250.25</td> 
 
     <td>0.014339</td> 
 
     <td>39585.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115812</th> 
 
     <td>1990-08-13</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>249.50</td> 
 
     <td>0.0</td> 
 
     <td>244.00</td> 
 
     <td>249.50</td> 
 
     <td>158425.0</td> 
 
     <td>245.25</td> 
 
     <td>0.014102</td> 
 
     <td>43025.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115813</th> 
 
     <td>1990-08-14</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>245.50</td> 
 
     <td>0.0</td> 
 
     <td>243.75</td> 
 
     <td>244.25</td> 
 
     <td>155785.0</td> 
 
     <td>245.50</td> 
 
     <td>0.014326</td> 
 
     <td>40915.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115814</th> 
 
     <td>1990-08-15</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>247.75</td> 
 
     <td>0.0</td> 
 
     <td>244.50</td> 
 
     <td>246.25</td> 
 
     <td>154925.0</td> 
 
     <td>247.50</td> 
 
     <td>0.014211</td> 
 
     <td>36445.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115815</th> 
 
     <td>1990-08-16</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>250.00</td> 
 
     <td>0.0</td> 
 
     <td>247.50</td> 
 
     <td>248.00</td> 
 
     <td>153660.0</td> 
 
     <td>249.00</td> 
 
     <td>0.014025</td> 
 
     <td>44395.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115816</th> 
 
     <td>1990-08-17</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>254.00</td> 
 
     <td>0.0</td> 
 
     <td>247.75</td> 
 
     <td>248.75</td> 
 
     <td>152610.0</td> 
 
     <td>250.75</td> 
 
     <td>0.013697</td> 
 
     <td>49635.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115817</th> 
 
     <td>1990-08-20</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>254.00</td> 
 
     <td>0.0</td> 
 
     <td>251.00</td> 
 
     <td>251.00</td> 
 
     <td>146950.0</td> 
 
     <td>252.25</td> 
 
     <td>0.013579</td> 
 
     <td>36695.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115818</th> 
 
     <td>1990-08-21</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>253.75</td> 
 
     <td>0.0</td> 
 
     <td>250.25</td> 
 
     <td>252.00</td> 
 
     <td>144820.0</td> 
 
     <td>251.75</td> 
 
     <td>0.013266</td> 
 
     <td>51935.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115819</th> 
 
     <td>1990-08-22</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>254.75</td> 
 
     <td>0.0</td> 
 
     <td>251.50</td> 
 
     <td>252.50</td> 
 
     <td>141515.0</td> 
 
     <td>253.75</td> 
 
     <td>0.012918</td> 
 
     <td>50210.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115820</th> 
 
     <td>1990-08-23</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>260.00</td> 
 
     <td>0.0</td> 
 
     <td>255.00</td> 
 
     <td>255.00</td> 
 
     <td>138385.0</td> 
 
     <td>259.00</td> 
 
     <td>0.012822</td> 
 
     <td>50155.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115821</th> 
 
     <td>1990-08-24</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>260.00</td> 
 
     <td>0.0</td> 
 
     <td>257.25</td> 
 
     <td>258.00</td> 
 
     <td>121575.0</td> 
 
     <td>257.75</td> 
 
     <td>0.012794</td> 
 
     <td>38135.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115822</th> 
 
     <td>1990-08-27</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>256.50</td> 
 
     <td>0.0</td> 
 
     <td>251.50</td> 
 
     <td>256.00</td> 
 
     <td>112135.0</td> 
 
     <td>252.00</td> 
 
     <td>0.012563</td> 
 
     <td>34850.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115823</th> 
 
     <td>1990-08-28</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>254.00</td> 
 
     <td>0.0</td> 
 
     <td>251.00</td> 
 
     <td>251.00</td> 
 
     <td>104110.0</td> 
 
     <td>253.75</td> 
 
     <td>0.012990</td> 
 
     <td>44680.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115824</th> 
 
     <td>1990-08-29</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>255.50</td> 
 
     <td>0.0</td> 
 
     <td>249.75</td> 
 
     <td>254.75</td> 
 
     <td>91055.0</td> 
 
     <td>250.00</td> 
 
     <td>0.013190</td> 
 
     <td>64930.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115825</th> 
 
     <td>1990-08-30</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>249.50</td> 
 
     <td>0.0</td> 
 
     <td>245.00</td> 
 
     <td>249.25</td> 
 
     <td>77335.0</td> 
 
     <td>245.25</td> 
 
     <td>0.013716</td> 
 
     <td>73035.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115826</th> 
 
     <td>1990-08-31</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>248.00</td> 
 
     <td>0.0</td> 
 
     <td>241.50</td> 
 
     <td>246.00</td> 
 
     <td>65310.0</td> 
 
     <td>243.25</td> 
 
     <td>0.013584</td> 
 
     <td>53775.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115827</th> 
 
     <td>1990-09-04</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>243.00</td> 
 
     <td>0.0</td> 
 
     <td>239.50</td> 
 
     <td>243.00</td> 
 
     <td>56660.0</td> 
 
     <td>240.75</td> 
 
     <td>0.013397</td> 
 
     <td>30185.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115828</th> 
 
     <td>1990-09-05</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>243.75</td> 
 
     <td>0.0</td> 
 
     <td>241.50</td> 
 
     <td>241.75</td> 
 
     <td>52140.0</td> 
 
     <td>243.25</td> 
 
     <td>0.013030</td> 
 
     <td>23890.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115829</th> 
 
     <td>1990-09-06</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>244.50</td> 
 
     <td>0.0</td> 
 
     <td>241.75</td> 
 
     <td>244.50</td> 
 
     <td>42070.0</td> 
 
     <td>243.00</td> 
 
     <td>0.013099</td> 
 
     <td>24200.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115830</th> 
 
     <td>1990-09-07</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>242.00</td> 
 
     <td>0.0</td> 
 
     <td>238.50</td> 
 
     <td>242.00</td> 
 
     <td>34570.0</td> 
 
     <td>238.75</td> 
 
     <td>0.012864</td> 
 
     <td>29765.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115831</th> 
 
     <td>1990-09-10</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>240.50</td> 
 
     <td>0.0</td> 
 
     <td>235.00</td> 
 
     <td>237.00</td> 
 
     <td>31165.0</td> 
 
     <td>239.50</td> 
 
     <td>0.013181</td> 
 
     <td>8510.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115832</th> 
 
     <td>1990-09-11</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>241.50</td> 
 
     <td>0.0</td> 
 
     <td>239.00</td> 
 
     <td>240.00</td> 
 
     <td>28485.0</td> 
 
     <td>241.50</td> 
 
     <td>0.013361</td> 
 
     <td>6850.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115833</th> 
 
     <td>1990-09-12</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>241.50</td> 
 
     <td>0.0</td> 
 
     <td>238.75</td> 
 
     <td>240.75</td> 
 
     <td>25310.0</td> 
 
     <td>239.25</td> 
 
     <td>0.013057</td> 
 
     <td>7865.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115834</th> 
 
     <td>1990-09-13</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>234.00</td> 
 
     <td>0.0</td> 
 
     <td>231.75</td> 
 
     <td>233.00</td> 
 
     <td>21410.0</td> 
 
     <td>233.25</td> 
 
     <td>0.014449</td> 
 
     <td>8975.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115835</th> 
 
     <td>1990-09-14</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>233.50</td> 
 
     <td>0.0</td> 
 
     <td>231.75</td> 
 
     <td>233.00</td> 
 
     <td>19690.0</td> 
 
     <td>232.75</td> 
 
     <td>0.014074</td> 
 
     <td>4505.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115836</th> 
 
     <td>1990-09-17</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>235.75</td> 
 
     <td>0.0</td> 
 
     <td>232.25</td> 
 
     <td>233.75</td> 
 
     <td>16135.0</td> 
 
     <td>235.75</td> 
 
     <td>0.013777</td> 
 
     <td>9515.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115837</th> 
 
     <td>1990-09-18</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>237.75</td> 
 
     <td>0.0</td> 
 
     <td>236.00</td> 
 
     <td>236.25</td> 
 
     <td>8635.0</td> 
 
     <td>237.00</td> 
 
     <td>0.013788</td> 
 
     <td>11545.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    <tr> 
 
     <th>115838</th> 
 
     <td>1990-09-19</td> 
 
     <td>0.0</td> 
 
     <td>199009</td> 
 
     <td>237.00</td> 
 
     <td>0.0</td> 
 
     <td>232.50</td> 
 
     <td>237.00</td> 
 
     <td>980.0</td> 
 
     <td>234.25</td> 
 
     <td>0.013469</td> 
 
     <td>10070.0</td> 
 
     <td>1990-09-14</td> 
 
    </tr> 
 
    </tbody> 
 
</table>

Für jeden Tag, ich versuche, den Vertrag Feld mit dem höchsten Volumen zu erhalten.

Ich habe es fast:

a.groupby(['Date'],as_index=False).agg({'Volume':np.max}) 

Erzeugt einen Datenrahmen mit einer Liste von Tagen und höchsten Volumen, aber ich kann nicht herausfinden, wie den entsprechenden Vertrag zu bekommen, da es keine hat Index, der dem ursprünglichen (nicht gruppierten) Datenrahmen entspricht.

Wie kann ich das entsprechende Vertragsfeld bekommen?

<table border="1" class="dataframe"> 
 
    <thead> 
 
    <tr style="text-align: right;"> 
 
     <th></th> 
 
     <th>Date</th> 
 
     <th>Volume</th> 
 
    </tr> 
 
    </thead> 
 
    <tbody> 
 
    <tr> 
 
     <th>0</th> 
 
     <td>1959-07-01</td> 
 
     <td>541.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>1</th> 
 
     <td>1959-07-02</td> 
 
     <td>1156.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>2</th> 
 
     <td>1959-07-06</td> 
 
     <td>1495.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>3</th> 
 
     <td>1959-07-07</td> 
 
     <td>1204.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>4</th> 
 
     <td>1959-07-08</td> 
 
     <td>1244.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>5</th> 
 
     <td>1959-07-09</td> 
 
     <td>921.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>6</th> 
 
     <td>1959-07-10</td> 
 
     <td>1473.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>7</th> 
 
     <td>1959-07-13</td> 
 
     <td>1457.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>8</th> 
 
     <td>1959-07-14</td> 
 
     <td>1511.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>9</th> 
 
     <td>1959-07-15</td> 
 
     <td>1778.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>10</th> 
 
     <td>1959-07-16</td> 
 
     <td>1057.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>11</th> 
 
     <td>1959-07-17</td> 
 
     <td>671.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>12</th> 
 
     <td>1959-07-20</td> 
 
     <td>868.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>13</th> 
 
     <td>1959-07-21</td> 
 
     <td>1539.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>14</th> 
 
     <td>1959-07-22</td> 
 
     <td>1089.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>15</th> 
 
     <td>1959-07-23</td> 
 
     <td>924.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>16</th> 
 
     <td>1959-07-24</td> 
 
     <td>1399.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>17</th> 
 
     <td>1959-07-27</td> 
 
     <td>680.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>18</th> 
 
     <td>1959-07-28</td> 
 
     <td>664.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>19</th> 
 
     <td>1959-07-29</td> 
 
     <td>744.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>20</th> 
 
     <td>1959-07-30</td> 
 
     <td>599.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>21</th> 
 
     <td>1959-07-31</td> 
 
     <td>1030.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>22</th> 
 
     <td>1959-08-03</td> 
 
     <td>623.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>23</th> 
 
     <td>1959-08-04</td> 
 
     <td>898.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>24</th> 
 
     <td>1959-08-05</td> 
 
     <td>1006.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>25</th> 
 
     <td>1959-08-06</td> 
 
     <td>495.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>26</th> 
 
     <td>1959-08-07</td> 
 
     <td>1851.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>27</th> 
 
     <td>1959-08-10</td> 
 
     <td>1229.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>28</th> 
 
     <td>1959-08-11</td> 
 
     <td>909.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>29</th> 
 
     <td>1959-08-12</td> 
 
     <td>535.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>...</th> 
 
     <td>...</td> 
 
     <td>...</td> 
 
    </tr> 
 
    <tr> 
 
     <th>14304</th> 
 
     <td>2016-04-14</td> 
 
     <td>277581.0</td> 
 
    </tr> 
 
    <tr> 
 
     <th>14305</th> 
 
     <td>2016-04-15</td> 
 
     <td>281613.0</td> 
 
    </tr> 
 
    </tbody> 
 
</table>

Antwort

0

Ich glaube, Sie zuerst den Index der Spalte Volume mit max-Wert finden idxmax durch Aggregation und wählen Sie dann df von loc:

df.loc[df.groupby("Date")["Volume"].idxmax()] 

Wenn Bedarf Contract:

print (df.loc[df.groupby("Date")["Volume"].idxmax(), 'Contract']) 

Eine weitere Lösung ist in erster sort_values durch Spalte Volume und dann groupby mit Aggregieren first:

df.sort_values(by="Volume", ascending=False).groupby("Date", as_index=False).first() 

Probe (einige Daten wurden geändert):

import pandas as pd 

df = pd.DataFrame({'Prev. Day Open Interest': {115809: 161630.0, 115813: 155785.0, 115814: 154925.0, 115815: 153660.0, 115823: 104110.0, 115824: 91055.0, 115825: 77335.0, 115826: 65310.0, 115827: 56660.0, 115828: 52140.0, 115835: 19690.0, 115838: 980.0}, 'Date': {115809: '1990-08-08', 115813: '1990-08-08', 115814: '1990-08-15', 115815: '1990-08-15', 115823: '1990-08-23', 115824: '1990-08-23', 115825: '1990-08-30', 115826: '1990-08-30', 115827: '1990-09-04', 115828: '1990-09-04', 115835: '1990-09-11', 115838: '1990-09-11'}, 'Settle': {115809: 252.25, 115813: 245.5, 115814: 247.5, 115815: 249.0, 115823: 253.75, 115824: 250.0, 115825: 245.25, 115826: 243.25, 115827: 240.75, 115828: 243.25, 115835: 232.75, 115838: 234.25}, 'Expiration': {115809: '1990-09-14', 115813: '1990-09-14', 115814: '1990-09-14', 115815: '1990-09-14', 115823: '1990-09-14', 115824: '1990-09-14', 115825: '1990-09-14', 115826: '1990-09-14', 115827: '1990-09-14', 115828: '1990-09-14', 115835: '1990-09-14', 115838: '1990-09-14'}, 'Volume': {115809: 38160.0, 115813: 40915.0, 115814: 36445.0, 115815: 44395.0, 115823: 44680.0, 115824: 64930.0, 115825: 73035.0, 115826: 53775.0, 115827: 30185.0, 115828: 23890.0, 115835: 4505.0, 115838: 10070.0}, 'Volatility': {115809: 0.015012000000000001, 115813: 0.014325999999999998, 115814: 0.014211000000000001, 115815: 0.014024999999999999, 115823: 0.01299, 115824: 0.01319, 115825: 0.013715999999999999, 115826: 0.013584000000000001, 115827: 0.013396999999999999, 115828: 0.013030000000000002, 115835: 0.014074000000000001, 115838: 0.013469}, 'Last': {115809: 0.0, 115813: 0.0, 115814: 0.0, 115815: 0.0, 115823: 0.0, 115824: 0.0, 115825: 0.0, 115826: 0.0, 115827: 0.0, 115828: 0.0, 115835: 0.0, 115838: 0.0}, 'High': {115809: 253.75, 115813: 245.5, 115814: 247.75, 115815: 250.0, 115823: 254.0, 115824: 255.5, 115825: 249.5, 115826: 248.0, 115827: 243.0, 115828: 243.75, 115835: 233.5, 115838: 237.0}, 'Low': {115809: 251.75, 115813: 243.75, 115814: 244.5, 115815: 247.5, 115823: 251.0, 115824: 249.75, 115825: 245.0, 115826: 241.5, 115827: 239.5, 115828: 241.5, 115835: 231.75, 115838: 232.5}, 'Contract': {115809: 199001, 115813: 199002, 115814: 199003, 115815: 199004, 115823: 199005, 115824: 199006, 115825: 199007, 115826: 199008, 115827: 199009, 115828: 199010, 115835: 199011, 115838: 199012}, 'Open': {115809: 253.75, 115813: 244.25, 115814: 246.25, 115815: 248.0, 115823: 251.0, 115824: 254.75, 115825: 249.25, 115826: 246.0, 115827: 243.0, 115828: 241.75, 115835: 233.0, 115838: 237.0}, 'Change': {115809: 0.0, 115813: 0.0, 115814: 0.0, 115815: 0.0, 115823: 0.0, 115824: 0.0, 115825: 0.0, 115826: 0.0, 115827: 0.0, 115828: 0.0, 115835: 0.0, 115838: 0.0}}) 
print (df) 
     Change Contract  Date Expiration High Last  Low Open Prev. Day Open Interest Settle Volatility Volume 
115809  0.0 199001 1990-08-08 1990-09-14 253.75 0.0 251.75 253.75     161630.0 252.25 0.015012 38160.0 
115813  0.0 199002 1990-08-08 1990-09-14 245.50 0.0 243.75 244.25     155785.0 245.50 0.014326 40915.0 
115814  0.0 199003 1990-08-15 1990-09-14 247.75 0.0 244.50 246.25     154925.0 247.50 0.014211 36445.0 
115815  0.0 199004 1990-08-15 1990-09-14 250.00 0.0 247.50 248.00     153660.0 249.00 0.014025 44395.0 
115823  0.0 199005 1990-08-23 1990-09-14 254.00 0.0 251.00 251.00     104110.0 253.75 0.012990 44680.0 
115824  0.0 199006 1990-08-23 1990-09-14 255.50 0.0 249.75 254.75     91055.0 250.00 0.013190 64930.0 
115825  0.0 199007 1990-08-30 1990-09-14 249.50 0.0 245.00 249.25     77335.0 245.25 0.013716 73035.0 
115826  0.0 199008 1990-08-30 1990-09-14 248.00 0.0 241.50 246.00     65310.0 243.25 0.013584 53775.0 
115827  0.0 199009 1990-09-04 1990-09-14 243.00 0.0 239.50 243.00     56660.0 240.75 0.013397 30185.0 
115828  0.0 199010 1990-09-04 1990-09-14 243.75 0.0 241.50 241.75     52140.0 243.25 0.013030 23890.0 
115835  0.0 199011 1990-09-11 1990-09-14 233.50 0.0 231.75 233.00     19690.0 232.75 0.014074 4505.0 
115838  0.0 199012 1990-09-11 1990-09-14 237.00 0.0 232.50 237.00     980.0 234.25 0.013469 10070.0 
print (df.loc[df.groupby("Date")["Volume"].idxmax()]) 
     Change Contract  Date Expiration High Last  Low Open Prev. Day Open Interest Settle Volatility Volume 
115813  0.0 199002 1990-08-08 1990-09-14 245.5 0.0 243.75 244.25     155785.0 245.50 0.014326 40915.0 
115815  0.0 199004 1990-08-15 1990-09-14 250.0 0.0 247.50 248.00     153660.0 249.00 0.014025 44395.0 
115824  0.0 199006 1990-08-23 1990-09-14 255.5 0.0 249.75 254.75     91055.0 250.00 0.013190 64930.0 
115825  0.0 199007 1990-08-30 1990-09-14 249.5 0.0 245.00 249.25     77335.0 245.25 0.013716 73035.0 
115827  0.0 199009 1990-09-04 1990-09-14 243.0 0.0 239.50 243.00     56660.0 240.75 0.013397 30185.0 
115838  0.0 199012 1990-09-11 1990-09-14 237.0 0.0 232.50 237.00     980.0 234.25 0.013469 10070.0 

print (df.sort_values(by="Volume", ascending=False).groupby("Date", as_index=False).first()) 
     Date Change Contract Expiration High Last  Low Open Prev. Day Open Interest Settle Volatility Volume 
0 1990-08-08  0.0 199002 1990-09-14 245.5 0.0 243.75 244.25     155785.0 245.50 0.014326 40915.0 
1 1990-08-15  0.0 199004 1990-09-14 250.0 0.0 247.50 248.00     153660.0 249.00 0.014025 44395.0 
2 1990-08-23  0.0 199006 1990-09-14 255.5 0.0 249.75 254.75     91055.0 250.00 0.013190 64930.0 
3 1990-08-30  0.0 199007 1990-09-14 249.5 0.0 245.00 249.25     77335.0 245.25 0.013716 73035.0 
4 1990-09-04  0.0 199009 1990-09-14 243.0 0.0 239.50 243.00     56660.0 240.75 0.013397 30185.0 
5 1990-09-11  0.0 199012 1990-09-14 237.0 0.0 232.50 237.00     980.0 234.25 0.013469 10070.0 
print (df.loc[df.groupby("Date")["Volume"].idxmax(), 'Contract']) 
115813 199002 
115815 199004 
115824 199006 
115825 199007 
115827 199009 
115838 199012 
Name: Contract, dtype: int64 

print (df.sort_values(by="Volume", ascending=False).groupby("Date", as_index=False).first()['Contract']) 
0 199002 
1 199004 
2 199006 
3 199007 
4 199009 
5 199012 
Name: Contract, dtype: int64 
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Amazing! Ich danke dir sehr! :) – cjm2671

+0

Froh kann dir helfen! – jezrael

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