publication_figures.ipynb

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    "Predicting the Behavior of the Supreme Court of the United States: A General Approach\n",
    "==================\n",
    "  *  __Title__: Predicting the Behavior of the Supreme Court of the United States: A General Approach\n",
    "  *  __Authors__: [Daniel Martin Katz](http://www.law.msu.edu/faculty_staff/profile.php?prof=780), [Michael J Bommarito II](http://bommaritollc.com/), [Josh Blackman](http://joshblackman.com)\n",
    "  *  __Paper URL__: [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2463244](http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2463244)\n",
    "  *  __Blog URL__: [http://lexpredict.com/portfolio/predicting-the-supreme-court/](http://lexpredict.com/portfolio/predicting-the-supreme-court/)\n",
    "\n",
    "## Paper Abstract\n",
    "Building upon developments in theoretical and applied machine learning, as well as the efforts of various scholars including Guimera and Sales-Pardo (2011), Ruger et al. (2004), and Martin et al. (2004), we construct a model designed to predict the voting behavior of the Supreme Court of the United States. Using the extremely randomized tree method first proposed in Geurts, et al. (2006), a method similar to the random forest approach developed in Breiman (2001), as well as novel feature engineering, we predict more than sixty years of decisions by the Supreme Court of the United States (1953-2013). Using only data available prior to the date of decision, our model correctly identifies 69.7% of the Court’s overall affirm/reverse decisions and correctly forecasts 70.9% of the votes of individual justices across 7,700 cases and more than 68,000 justice votes. Our performance is consistent with the general level of prediction offered by prior scholars. However, our model is distinctive as it is the first robust, generalized,and fully predictive model of Supreme Court voting behavior offered to date. Our model predicts six decades of behavior of thirty Justices appointed by thirteen Presidents. With a more sound methodological foundation, our results represent a major advance for the science of quantitative legal prediction and portend a range of other potential applications, such as those described in Katz (2013).\n",
    "\n",
    "## Source Description\n",
    "The source and data in this repository allow for the reproduction of the results in this paper.  \n",
    "\n",
    "## Data Description\n",
    "The data used in this paper is available from the [Supreme Court Database (SCDB)](http://scdb.wustl.edu/).\n",
    "\n",
    "## Version\n",
    "The latest version of this model was relesed in October 2015."
   ]
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     "text": [
      "/home/ubuntu/ve/local/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
      "  warnings.warn(self.msg_depr % (key, alt_key))\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "# Imports\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.stats.proportion\n",
    "\n",
    "# seaborn\n",
    "import seaborn\n",
    "seaborn.set()\n",
    "seaborn.set_style(\"darkgrid\")\n",
    "\n",
    "# Project imports\n",
    "from model import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>caseId</th>\n",
       "      <th>docketId</th>\n",
       "      <th>caseIssuesId</th>\n",
       "      <th>voteId</th>\n",
       "      <th>dateDecision</th>\n",
       "      <th>decisionType</th>\n",
       "      <th>usCite</th>\n",
       "      <th>sctCite</th>\n",
       "      <th>ledCite</th>\n",
       "      <th>lexisCite</th>\n",
       "      <th>...</th>\n",
       "      <th>rf_predicted_case</th>\n",
       "      <th>dummy_predicted_case</th>\n",
       "      <th>rf_correct_case</th>\n",
       "      <th>dummy_correct_case</th>\n",
       "      <th>vote_other</th>\n",
       "      <th>vote_affirm</th>\n",
       "      <th>vote_reverse</th>\n",
       "      <th>predicted_vote_other</th>\n",
       "      <th>predicted_vote_affirm</th>\n",
       "      <th>predicted_vote_reverse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1946-001</td>\n",
       "      <td>1946-001-01</td>\n",
       "      <td>1946-001-01-01</td>\n",
       "      <td>1946-001-01-01-01-01</td>\n",
       "      <td>11/18/1946</td>\n",
       "      <td>1</td>\n",
       "      <td>329 U.S. 1</td>\n",
       "      <td>67 S. Ct. 6</td>\n",
       "      <td>91 L. Ed. 3</td>\n",
       "      <td>1946 U.S. LEXIS 1724</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1946-001</td>\n",
       "      <td>1946-001-01</td>\n",
       "      <td>1946-001-01-01</td>\n",
       "      <td>1946-001-01-01-01-02</td>\n",
       "      <td>11/18/1946</td>\n",
       "      <td>1</td>\n",
       "      <td>329 U.S. 1</td>\n",
       "      <td>67 S. Ct. 6</td>\n",
       "      <td>91 L. Ed. 3</td>\n",
       "      <td>1946 U.S. LEXIS 1724</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1946-001</td>\n",
       "      <td>1946-001-01</td>\n",
       "      <td>1946-001-01-01</td>\n",
       "      <td>1946-001-01-01-01-03</td>\n",
       "      <td>11/18/1946</td>\n",
       "      <td>1</td>\n",
       "      <td>329 U.S. 1</td>\n",
       "      <td>67 S. Ct. 6</td>\n",
       "      <td>91 L. Ed. 3</td>\n",
       "      <td>1946 U.S. LEXIS 1724</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1946-001</td>\n",
       "      <td>1946-001-01</td>\n",
       "      <td>1946-001-01-01</td>\n",
       "      <td>1946-001-01-01-01-04</td>\n",
       "      <td>11/18/1946</td>\n",
       "      <td>1</td>\n",
       "      <td>329 U.S. 1</td>\n",
       "      <td>67 S. Ct. 6</td>\n",
       "      <td>91 L. Ed. 3</td>\n",
       "      <td>1946 U.S. LEXIS 1724</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1946-001</td>\n",
       "      <td>1946-001-01</td>\n",
       "      <td>1946-001-01-01</td>\n",
       "      <td>1946-001-01-01-01-05</td>\n",
       "      <td>11/18/1946</td>\n",
       "      <td>1</td>\n",
       "      <td>329 U.S. 1</td>\n",
       "      <td>67 S. Ct. 6</td>\n",
       "      <td>91 L. Ed. 3</td>\n",
       "      <td>1946 U.S. LEXIS 1724</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 99 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     caseId     docketId    caseIssuesId                voteId dateDecision  \\\n",
       "0  1946-001  1946-001-01  1946-001-01-01  1946-001-01-01-01-01   11/18/1946   \n",
       "1  1946-001  1946-001-01  1946-001-01-01  1946-001-01-01-01-02   11/18/1946   \n",
       "2  1946-001  1946-001-01  1946-001-01-01  1946-001-01-01-01-03   11/18/1946   \n",
       "3  1946-001  1946-001-01  1946-001-01-01  1946-001-01-01-01-04   11/18/1946   \n",
       "4  1946-001  1946-001-01  1946-001-01-01  1946-001-01-01-01-05   11/18/1946   \n",
       "\n",
       "   decisionType      usCite      sctCite      ledCite             lexisCite  \\\n",
       "0             1  329 U.S. 1  67 S. Ct. 6  91 L. Ed. 3  1946 U.S. LEXIS 1724   \n",
       "1             1  329 U.S. 1  67 S. Ct. 6  91 L. Ed. 3  1946 U.S. LEXIS 1724   \n",
       "2             1  329 U.S. 1  67 S. Ct. 6  91 L. Ed. 3  1946 U.S. LEXIS 1724   \n",
       "3             1  329 U.S. 1  67 S. Ct. 6  91 L. Ed. 3  1946 U.S. LEXIS 1724   \n",
       "4             1  329 U.S. 1  67 S. Ct. 6  91 L. Ed. 3  1946 U.S. LEXIS 1724   \n",
       "\n",
       "            ...            rf_predicted_case  dummy_predicted_case  \\\n",
       "0           ...                          NaN                   NaN   \n",
       "1           ...                          NaN                   NaN   \n",
       "2           ...                          NaN                   NaN   \n",
       "3           ...                          NaN                   NaN   \n",
       "4           ...                          NaN                   NaN   \n",
       "\n",
       "  rf_correct_case dummy_correct_case vote_other vote_affirm vote_reverse  \\\n",
       "0             NaN                NaN          0           1            8   \n",
       "1             NaN                NaN          0           1            8   \n",
       "2             NaN                NaN          0           1            8   \n",
       "3             NaN                NaN          0           1            8   \n",
       "4             NaN                NaN          0           1            8   \n",
       "\n",
       "   predicted_vote_other  predicted_vote_affirm  predicted_vote_reverse  \n",
       "0                   NaN                    NaN                     NaN  \n",
       "1                   NaN                    NaN                     NaN  \n",
       "2                   NaN                    NaN                     NaN  \n",
       "3                   NaN                    NaN                     NaN  \n",
       "4                   NaN                    NaN                     NaN  \n",
       "\n",
       "[5 rows x 99 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "data = pandas.read_csv(\"data/output/model_output_100_20151205221226.csv\")\n",
    "\n",
    "# Merge the vote summary data\n",
    "vote_data = data.groupby(\"docketId\")[\"justice_outcome_disposition\"].value_counts().unstack().fillna(0).astype(int)\n",
    "vote_data.columns = [\"vote_other\", \"vote_affirm\", \"vote_reverse\"]\n",
    "predicted_vote_data = data.groupby(\"docketId\")[\"rf_predicted\"].value_counts().unstack().fillna(0).astype(int)\n",
    "predicted_vote_data.columns = [\"predicted_vote_other\", \"predicted_vote_affirm\", \"predicted_vote_reverse\"]\n",
    "data = data.join(vote_data, on=\"docketId\")\n",
    "data = data.join(predicted_vote_data, on=\"docketId\")\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>docketId</th>\n",
       "      <th>caseName</th>\n",
       "      <th>term</th>\n",
       "      <th>rf_predicted_case</th>\n",
       "      <th>dummy_predicted_case</th>\n",
       "      <th>rf_correct_case</th>\n",
       "      <th>dummy_correct_case</th>\n",
       "      <th>vote_other</th>\n",
       "      <th>vote_affirm</th>\n",
       "      <th>vote_reverse</th>\n",
       "      <th>predicted_vote_other</th>\n",
       "      <th>predicted_vote_affirm</th>\n",
       "      <th>predicted_vote_reverse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>77297</th>\n",
       "      <td>2014-071-01</td>\n",
       "      <td>GLOSSIP v. GROSS</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77306</th>\n",
       "      <td>2014-072-01</td>\n",
       "      <td>MATA v. LYNCH</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77315</th>\n",
       "      <td>2014-073-01</td>\n",
       "      <td>WOODS v. DONALD</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77324</th>\n",
       "      <td>2014-074-01</td>\n",
       "      <td>GRADY v. NORTH CAROLINA</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77333</th>\n",
       "      <td>2014-075-01</td>\n",
       "      <td>TAYLOR v. BARKES</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          docketId                 caseName  term  rf_predicted_case  \\\n",
       "77297  2014-071-01         GLOSSIP v. GROSS  2014                  1   \n",
       "77306  2014-072-01            MATA v. LYNCH  2014                  1   \n",
       "77315  2014-073-01          WOODS v. DONALD  2014                  1   \n",
       "77324  2014-074-01  GRADY v. NORTH CAROLINA  2014                  1   \n",
       "77333  2014-075-01         TAYLOR v. BARKES  2014                  1   \n",
       "\n",
       "       dummy_predicted_case  rf_correct_case  dummy_correct_case  vote_other  \\\n",
       "77297                     1                0                   0           0   \n",
       "77306                     1                1                   1           0   \n",
       "77315                     1                1                   1           0   \n",
       "77324                     1                1                   1           0   \n",
       "77333                     1                1                   1           0   \n",
       "\n",
       "       vote_affirm  vote_reverse  predicted_vote_other  predicted_vote_affirm  \\\n",
       "77297            5             4                     0                      0   \n",
       "77306            1             8                     0                      1   \n",
       "77315            0             9                     0                      0   \n",
       "77324            0             9                     0                      0   \n",
       "77333            0             9                     0                      0   \n",
       "\n",
       "       predicted_vote_reverse  \n",
       "77297                       9  \n",
       "77306                       8  \n",
       "77315                       9  \n",
       "77324                       9  \n",
       "77333                       9  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get case data\n",
    "case_data = data.loc[:, [\"docketId\", \"caseName\", \"term\", \n",
    "                         u'rf_predicted_case', u'dummy_predicted_case', u'rf_correct_case', u'dummy_correct_case',\n",
    "                        \"vote_other\", \"vote_affirm\", \"vote_reverse\",\n",
    "                         \"predicted_vote_other\", \"predicted_vote_affirm\", \"predicted_vote_reverse\"\n",
    "                        ]]\\\n",
    "    .copy().drop_duplicates()\n",
    "case_data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.851852</td>\n",
       "      <td>0.916667</td>\n",
       "      <td>0.898256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.897059</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.204819</td>\n",
       "      <td>0.172917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.277778</td>\n",
       "      <td>0.192837</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.245283</td>\n",
       "      <td>0.194444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.198276</td>\n",
       "      <td>0.236686</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "vote_reverse         0         1         2         3         4         5  \\\n",
       "vote_affirm                                                                \n",
       "0             0.504854       NaN       NaN       NaN       NaN  1.000000   \n",
       "1                  NaN       NaN       NaN       NaN  1.000000  1.000000   \n",
       "2                  NaN       NaN       NaN       NaN  1.000000  0.928571   \n",
       "3                  NaN       NaN       NaN       NaN  0.851852  0.916667   \n",
       "4                  NaN  0.000000  0.500000  0.055556       NaN  0.897059   \n",
       "5             0.000000       NaN  0.222222  0.204819  0.172917       NaN   \n",
       "6             0.125000  0.083333  0.277778  0.192837       NaN       NaN   \n",
       "7             0.097561  0.245283  0.194444       NaN       NaN       NaN   \n",
       "8             0.198276  0.236686       NaN       NaN       NaN       NaN   \n",
       "9             0.200000       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "vote_reverse         6         7         8         9  \n",
       "vote_affirm                                           \n",
       "0             1.000000  0.952381  0.953317  0.932784  \n",
       "1             0.916667  0.906475  0.922197       NaN  \n",
       "2             0.934343  0.905380       NaN       NaN  \n",
       "3             0.898256       NaN       NaN       NaN  \n",
       "4                  NaN       NaN       NaN       NaN  \n",
       "5                  NaN       NaN       NaN       NaN  \n",
       "6                  NaN       NaN       NaN       NaN  \n",
       "7                  NaN       NaN       NaN       NaN  \n",
       "8                  NaN       NaN       NaN       NaN  \n",
       "9                  NaN       NaN       NaN       NaN  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get accuracy by actual outcomes\n",
    "case_data.groupby([\"vote_affirm\", \"vote_reverse\"])[\"rf_correct_case\"].mean().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>predicted_vote_reverse</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>5.0</th>\n",
       "      <th>6.0</th>\n",
       "      <th>7.0</th>\n",
       "      <th>8.0</th>\n",
       "      <th>9.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>predicted_vote_affirm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.921182</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.642857</td>\n",
       "      <td>0.746914</td>\n",
       "      <td>0.732963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.618182</td>\n",
       "      <td>0.687573</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.684211</td>\n",
       "      <td>0.665837</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>0.602528</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>0.589633</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.467836</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.588608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.539568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.520548</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.671642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "predicted_vote_reverse         0         1         2         3         4  \\\n",
       "predicted_vote_affirm                                                      \n",
       "0                       0.921182  0.800000  1.000000  0.833333  0.750000   \n",
       "1                            NaN       NaN       NaN  1.000000       NaN   \n",
       "2                       0.000000       NaN       NaN       NaN       NaN   \n",
       "3                            NaN       NaN       NaN       NaN  0.666667   \n",
       "4                            NaN       NaN       NaN       NaN  0.578947   \n",
       "5                            NaN       NaN  0.000000  0.666667  0.467836   \n",
       "6                            NaN       NaN  0.583333  0.588608       NaN   \n",
       "7                            NaN  0.500000  0.539568       NaN       NaN   \n",
       "8                       0.666667  0.520548       NaN       NaN       NaN   \n",
       "9                       0.671642       NaN       NaN       NaN       NaN   \n",
       "\n",
       "predicted_vote_reverse         5         6         7         8         9  \n",
       "predicted_vote_affirm                                                     \n",
       "0                       0.166667  0.333333  0.642857  0.746914  0.732963  \n",
       "1                            NaN  0.428571  0.618182  0.687573       NaN  \n",
       "2                       0.500000  0.684211  0.665837       NaN       NaN  \n",
       "3                       0.555556  0.602528       NaN       NaN       NaN  \n",
       "4                       0.589633       NaN       NaN       NaN       NaN  \n",
       "5                            NaN       NaN       NaN       NaN       NaN  \n",
       "6                            NaN       NaN       NaN       NaN       NaN  \n",
       "7                            NaN       NaN       NaN       NaN       NaN  \n",
       "8                            NaN       NaN       NaN       NaN       NaN  \n",
       "9                            NaN       NaN       NaN       NaN       NaN  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get accuracy by predicted outcomes\n",
    "case_data.groupby([\"predicted_vote_affirm\", \"predicted_vote_reverse\"])[\"rf_correct_case\"].mean().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get justice name map\n",
    "justice_names = data.loc[:, [\"justice\", \"justiceName\"]].drop_duplicates()\n",
    "justice_names.index = justice_names[\"justice\"]\n",
    "del justice_names[\"justice\"]\n",
    "justice_map = justice_names[\"justiceName\"].T.to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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>78</th>\n",
       "      <th>79</th>\n",
       "      <th>80</th>\n",
       "      <th>81</th>\n",
       "      <th>82</th>\n",
       "      <th>84</th>\n",
       "      <th>85</th>\n",
       "      <th>86</th>\n",
       "      <th>87</th>\n",
       "      <th>88</th>\n",
       "      <th>...</th>\n",
       "      <th>SGBreyer</th>\n",
       "      <th>SMinton</th>\n",
       "      <th>SSotomayor</th>\n",
       "      <th>TCClark</th>\n",
       "      <th>TMarshall</th>\n",
       "      <th>WBRutledge</th>\n",
       "      <th>WEBurger</th>\n",
       "      <th>WHRehnquist</th>\n",
       "      <th>WJBrennan</th>\n",
       "      <th>WODouglas</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>term</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1946</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1947</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1957</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1965</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1968</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      78  79  80  81  82  84  85  86  87  88    ...      SGBreyer  SMinton  \\\n",
       "term                                            ...                          \n",
       "1946 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1947 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1948 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1949 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1950 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1951 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1952 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1953 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1954 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1955 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1956 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1957 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1958 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1959 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1960 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1961 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1962 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1963 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1964 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1965 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1966 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1967 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1968 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1969 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1970 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1971 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1972 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1973 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1974 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1975 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "...   ..  ..  ..  ..  ..  ..  ..  ..  ..  ..    ...           ...      ...   \n",
       "1985 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1986 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1987 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1988 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1989 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1990 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1991 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1992 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1993 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1994 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1995 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1996 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1997 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1998 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "1999 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2000 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2001 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2002 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2003 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2004 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2005 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2006 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2007 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2008 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2009 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2010 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2011 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2012 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2013 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "2014 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN    ...           NaN      NaN   \n",
       "\n",
       "      SSotomayor  TCClark  TMarshall  WBRutledge  WEBurger  WHRehnquist  \\\n",
       "term                                                                      \n",
       "1946         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1947         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1948         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1949         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1950         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1951         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1952         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1953         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1954         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1955         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1956         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1957         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1958         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1959         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1960         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1961         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1962         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1963         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1964         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1965         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1966         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1967         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1968         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1969         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1970         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1971         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1972         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1973         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1974         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1975         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "...          ...      ...        ...         ...       ...          ...   \n",
       "1985         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1986         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1987         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1988         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1989         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1990         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1991         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1992         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1993         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1994         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1995         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1996         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1997         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1998         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "1999         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2000         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2001         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2002         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2003         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2004         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2005         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2006         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2007         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2008         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2009         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2010         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2011         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2012         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2013         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "2014         NaN      NaN        NaN         NaN       NaN          NaN   \n",
       "\n",
       "      WJBrennan  WODouglas  \n",
       "term                        \n",
       "1946        NaN        NaN  \n",
       "1947        NaN        NaN  \n",
       "1948        NaN        NaN  \n",
       "1949        NaN        NaN  \n",
       "1950        NaN        NaN  \n",
       "1951        NaN        NaN  \n",
       "1952        NaN        NaN  \n",
       "1953        NaN        NaN  \n",
       "1954        NaN        NaN  \n",
       "1955        NaN        NaN  \n",
       "1956        NaN        NaN  \n",
       "1957        NaN        NaN  \n",
       "1958        NaN        NaN  \n",
       "1959        NaN        NaN  \n",
       "1960        NaN        NaN  \n",
       "1961        NaN        NaN  \n",
       "1962        NaN        NaN  \n",
       "1963        NaN        NaN  \n",
       "1964        NaN        NaN  \n",
       "1965        NaN        NaN  \n",
       "1966        NaN        NaN  \n",
       "1967        NaN        NaN  \n",
       "1968        NaN        NaN  \n",
       "1969        NaN        NaN  \n",
       "1970        NaN        NaN  \n",
       "1971        NaN        NaN  \n",
       "1972        NaN        NaN  \n",
       "1973        NaN        NaN  \n",
       "1974        NaN        NaN  \n",
       "1975        NaN        NaN  \n",
       "...         ...        ...  \n",
       "1985        NaN        NaN  \n",
       "1986        NaN        NaN  \n",
       "1987        NaN        NaN  \n",
       "1988        NaN        NaN  \n",
       "1989        NaN        NaN  \n",
       "1990        NaN        NaN  \n",
       "1991        NaN        NaN  \n",
       "1992        NaN        NaN  \n",
       "1993        NaN        NaN  \n",
       "1994        NaN        NaN  \n",
       "1995        NaN        NaN  \n",
       "1996        NaN        NaN  \n",
       "1997        NaN        NaN  \n",
       "1998        NaN        NaN  \n",
       "1999        NaN        NaN  \n",
       "2000        NaN        NaN  \n",
       "2001        NaN        NaN  \n",
       "2002        NaN        NaN  \n",
       "2003        NaN        NaN  \n",
       "2004        NaN        NaN  \n",
       "2005        NaN        NaN  \n",
       "2006        NaN        NaN  \n",
       "2007        NaN        NaN  \n",
       "2008        NaN        NaN  \n",
       "2009        NaN        NaN  \n",
       "2010        NaN        NaN  \n",
       "2011        NaN        NaN  \n",
       "2012        NaN        NaN  \n",
       "2013        NaN        NaN  \n",
       "2014        NaN        NaN  \n",
       "\n",
       "[69 rows x 72 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "justice_accuracy_by_termjustice_dummy_by_term"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "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>HLBlack</th>\n",
       "      <th>SFReed</th>\n",
       "      <th>FFrankfurter</th>\n",
       "      <th>WODouglas</th>\n",
       "      <th>FMurphy</th>\n",
       "      <th>RHJackson</th>\n",
       "      <th>WBRutledge</th>\n",
       "      <th>HHBurton</th>\n",
       "      <th>FMVinson</th>\n",
       "      <th>TCClark</th>\n",
       "      <th>...</th>\n",
       "      <th>AScalia</th>\n",
       "      <th>AMKennedy</th>\n",
       "      <th>DHSouter</th>\n",
       "      <th>CThomas</th>\n",
       "      <th>RBGinsburg</th>\n",
       "      <th>SGBreyer</th>\n",
       "      <th>JGRoberts</th>\n",
       "      <th>SAAlito</th>\n",
       "      <th>SSotomayor</th>\n",
       "      <th>EKagan</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>term</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1946</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1947</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.484211</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>0.526316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>0.547368</td>\n",
       "      <td>0.326316</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>0.612069</td>\n",
       "      <td>0.568966</td>\n",
       "      <td>0.465517</td>\n",
       "      <td>0.568966</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.405172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.568966</td>\n",
       "      <td>0.586207</td>\n",
       "      <td>0.508621</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.397727</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.465909</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.556818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.488636</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>0.721649</td>\n",
       "      <td>0.628866</td>\n",
       "      <td>0.577320</td>\n",
       "      <td>0.670103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.608247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.577320</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>0.721154</td>\n",
       "      <td>0.548077</td>\n",
       "      <td>0.461538</td>\n",
       "      <td>0.730769</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.528846</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.557692</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.758621</td>\n",
       "      <td>0.701149</td>\n",
       "      <td>0.724138</td>\n",
       "      <td>0.747126</td>\n",
       "      <td>0.735632</td>\n",
       "      <td>0.770115</td>\n",
       "      <td>0.758621</td>\n",
       "      <td>0.508197</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>0.746667</td>\n",
       "      <td>0.675676</td>\n",
       "      <td>0.706667</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.653333</td>\n",
       "      <td>0.706667</td>\n",
       "      <td>0.706667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.602740</td>\n",
       "      <td>0.561644</td>\n",
       "      <td>0.671233</td>\n",
       "      <td>0.630137</td>\n",
       "      <td>0.712329</td>\n",
       "      <td>0.602740</td>\n",
       "      <td>0.616438</td>\n",
       "      <td>0.589041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.722892</td>\n",
       "      <td>0.710843</td>\n",
       "      <td>0.614458</td>\n",
       "      <td>0.746988</td>\n",
       "      <td>0.614458</td>\n",
       "      <td>0.638554</td>\n",
       "      <td>0.686747</td>\n",
       "      <td>0.759036</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.695652</td>\n",
       "      <td>0.706522</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.684783</td>\n",
       "      <td>0.586957</td>\n",
       "      <td>0.543478</td>\n",
       "      <td>0.673913</td>\n",
       "      <td>0.695652</td>\n",
       "      <td>0.521739</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.694118</td>\n",
       "      <td>0.682353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.682353</td>\n",
       "      <td>0.670588</td>\n",
       "      <td>0.670588</td>\n",
       "      <td>0.647059</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>0.623529</td>\n",
       "      <td>0.376471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.623377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.597403</td>\n",
       "      <td>0.597403</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.558442</td>\n",
       "      <td>0.584416</td>\n",
       "      <td>0.597403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.582278</td>\n",
       "      <td>0.708861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.670886</td>\n",
       "      <td>0.670886</td>\n",
       "      <td>0.645570</td>\n",
       "      <td>0.670886</td>\n",
       "      <td>0.658228</td>\n",
       "      <td>0.683544</td>\n",
       "      <td>0.620253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.693333</td>\n",
       "      <td>0.680000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.720000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.653333</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>0.720000</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.647887</td>\n",
       "      <td>0.647887</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.563380</td>\n",
       "      <td>0.704225</td>\n",
       "      <td>0.704225</td>\n",
       "      <td>0.690141</td>\n",
       "      <td>0.633803</td>\n",
       "      <td>0.760563</td>\n",
       "      <td>0.676056</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       HLBlack    SFReed  FFrankfurter  WODouglas  FMurphy  RHJackson  \\\n",
       "term                                                                    \n",
       "1946       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "1947       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "1948       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "1949       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "1950       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "1951  0.600000  0.484211      0.421053   0.526316      NaN   0.400000   \n",
       "1952  0.612069  0.568966      0.465517   0.568966      NaN   0.405172   \n",
       "1953  0.625000  0.477273      0.397727   0.454545      NaN   0.465909   \n",
       "1954  0.721649  0.628866      0.577320   0.670103      NaN        NaN   \n",
       "1955  0.721154  0.548077      0.461538   0.730769      NaN        NaN   \n",
       "2005       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2006       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2007       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2008       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2009       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2010       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2011       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2012       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2013       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "2014       NaN       NaN           NaN        NaN      NaN        NaN   \n",
       "\n",
       "      WBRutledge  HHBurton  FMVinson   TCClark    ...      AScalia  AMKennedy  \\\n",
       "term                                              ...                           \n",
       "1946         NaN       NaN       NaN       NaN    ...          NaN        NaN   \n",
       "1947         NaN       NaN       NaN       NaN    ...          NaN        NaN   \n",
       "1948         NaN       NaN       NaN       NaN    ...          NaN        NaN   \n",
       "1949         NaN       NaN       NaN       NaN    ...          NaN        NaN   \n",
       "1950         NaN       NaN       NaN       NaN    ...          NaN        NaN   \n",
       "1951         NaN  0.421053  0.547368  0.326316    ...          NaN        NaN   \n",
       "1952         NaN  0.568966  0.586207  0.508621    ...          NaN        NaN   \n",
       "1953         NaN  0.556818       NaN  0.488636    ...          NaN        NaN   \n",
       "1954         NaN  0.608247       NaN  0.577320    ...          NaN        NaN   \n",
       "1955         NaN  0.528846       NaN  0.557692    ...          NaN        NaN   \n",
       "2005         NaN       NaN       NaN       NaN    ...     0.758621   0.701149   \n",
       "2006         NaN       NaN       NaN       NaN    ...     0.756757   0.746667   \n",
       "2007         NaN       NaN       NaN       NaN    ...     0.602740   0.561644   \n",
       "2008         NaN       NaN       NaN       NaN    ...     0.722892   0.710843   \n",
       "2009         NaN       NaN       NaN       NaN    ...     0.695652   0.706522   \n",
       "2010         NaN       NaN       NaN       NaN    ...     0.694118   0.682353   \n",
       "2011         NaN       NaN       NaN       NaN    ...     0.545455   0.623377   \n",
       "2012         NaN       NaN       NaN       NaN    ...     0.582278   0.708861   \n",
       "2013         NaN       NaN       NaN       NaN    ...     0.693333   0.680000   \n",
       "2014         NaN       NaN       NaN       NaN    ...     0.647887   0.647887   \n",
       "\n",
       "      DHSouter   CThomas  RBGinsburg  SGBreyer  JGRoberts   SAAlito  \\\n",
       "term                                                                  \n",
       "1946       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1947       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1948       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1949       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1950       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1951       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1952       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1953       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1954       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "1955       NaN       NaN         NaN       NaN        NaN       NaN   \n",
       "2005  0.724138  0.747126    0.735632  0.770115   0.758621  0.508197   \n",
       "2006  0.675676  0.706667    0.640000  0.653333   0.706667  0.706667   \n",
       "2007  0.671233  0.630137    0.712329  0.602740   0.616438  0.589041   \n",
       "2008  0.614458  0.746988    0.614458  0.638554   0.686747  0.759036   \n",
       "2009       NaN  0.684783    0.586957  0.543478   0.673913  0.695652   \n",
       "2010       NaN  0.682353    0.670588  0.670588   0.647059  0.705882   \n",
       "2011       NaN  0.571429    0.597403  0.597403   0.545455  0.558442   \n",
       "2012       NaN  0.670886    0.670886  0.645570   0.670886  0.658228   \n",
       "2013       NaN  0.720000    0.666667  0.640000   0.653333  0.733333   \n",
       "2014       NaN  0.563380    0.704225  0.704225   0.690141  0.633803   \n",
       "\n",
       "      SSotomayor    EKagan  \n",
       "term                        \n",
       "1946         NaN       NaN  \n",
       "1947         NaN       NaN  \n",
       "1948         NaN       NaN  \n",
       "1949         NaN       NaN  \n",
       "1950         NaN       NaN  \n",
       "1951         NaN       NaN  \n",
       "1952         NaN       NaN  \n",
       "1953         NaN       NaN  \n",
       "1954         NaN       NaN  \n",
       "1955         NaN       NaN  \n",
       "2005         NaN       NaN  \n",
       "2006         NaN       NaN  \n",
       "2007         NaN       NaN  \n",
       "2008         NaN       NaN  \n",
       "2009    0.521739       NaN  \n",
       "2010    0.623529  0.376471  \n",
       "2011    0.584416  0.597403  \n",
       "2012    0.683544  0.620253  \n",
       "2013    0.720000  0.666667  \n",
       "2014    0.760563  0.676056  \n",
       "\n",
       "[20 rows x 36 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get accuracy by justice-term\n",
    "justice_accuracy_by_term = data.groupby([\"term\", \"justice\"])[\"rf_correct\"].mean().unstack()\n",
    "justice_dummy_by_term = data.groupby([\"term\", \"justice\"])[\"dummy_correct\"].mean().unstack()\n",
    "justice_count_by_term = data.groupby([\"term\", \"justice\"])[\"rf_correct\"].count().unstack()\n",
    "justice_accuracy_by_term.columns = justice_map.values()\n",
    "justice_count_by_term.columns = justice_map.values()\n",
    "justice_dummy_by_term.columns = justice_map.values()\n",
    "\n",
    "# Reset very small sample sizes\n",
    "justice_accuracy_by_term[(justice_count_by_term > 0) & (justice_count_by_term < 10)] = numpy.nan\n",
    "justice_dummy_by_term[(justice_count_by_term > 0) & (justice_count_by_term < 10)] = numpy.nan\n",
    "justice_accuracy_by_term.head(10).append(justice_accuracy_by_term.tail(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2e5e42da90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate a custom diverging colormap\n",
    "cmap = seaborn.diverging_palette(20, 255-20, s=90, sep=20, n=10, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "f = plt.figure(figsize=(32, 16))\n",
    "seaborn.heatmap(justice_accuracy_by_term.T, cmap=cmap,\n",
    "                vmin=0.0, vmax=1.0,\n",
    "                linewidths=.25,\n",
    "                cbar_kws={\"shrink\": 0.75})\n",
    "_ = plt.xticks(rotation=90, fontsize=16)\n",
    "_ = plt.yticks(fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2e67032050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate a custom diverging colormap\n",
    "cmap = seaborn.diverging_palette(20, 255-20, s=75, sep=20, n=10, as_cmap=True)\n",
    "#cmap = seaborn.cubehelix_palette(8, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "f = plt.figure(figsize=(32, 16))\n",
    "seaborn.heatmap((justice_accuracy_by_term - justice_dummy_by_term).T, cmap=cmap,\n",
    "                linewidths=.25, cbar_kws={\"shrink\": 0.75})\n",
    "_ = plt.xticks(rotation=90, fontsize=16)\n",
    "_ = plt.yticks(fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "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>rf_correct</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>justiceName</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AJGoldberg</th>\n",
       "      <td>0.742616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EWarren</th>\n",
       "      <td>0.725455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WODouglas</th>\n",
       "      <td>0.718999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WJBrennan</th>\n",
       "      <td>0.714957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLBlack</th>\n",
       "      <td>0.709941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AFortas</th>\n",
       "      <td>0.698276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WHRehnquist</th>\n",
       "      <td>0.691170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEBurger</th>\n",
       "      <td>0.681867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMarshall</th>\n",
       "      <td>0.679299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CThomas</th>\n",
       "      <td>0.673013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JGRoberts</th>\n",
       "      <td>0.666248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AScalia</th>\n",
       "      <td>0.665021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGBreyer</th>\n",
       "      <td>0.663080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRWhite</th>\n",
       "      <td>0.662417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHSouter</th>\n",
       "      <td>0.660949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RBGinsburg</th>\n",
       "      <td>0.660944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SDOConnor</th>\n",
       "      <td>0.660254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAAlito</th>\n",
       "      <td>0.660182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMKennedy</th>\n",
       "      <td>0.648679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HABlackmun</th>\n",
       "      <td>0.643577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSotomayor</th>\n",
       "      <td>0.643006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LFPowell</th>\n",
       "      <td>0.626038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PStewart</th>\n",
       "      <td>0.620017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPStevens</th>\n",
       "      <td>0.613092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCClark</th>\n",
       "      <td>0.610227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EKagan</th>\n",
       "      <td>0.581395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEWhittaker</th>\n",
       "      <td>0.576812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FMVinson</th>\n",
       "      <td>0.568720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HHBurton</th>\n",
       "      <td>0.565605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JHarlan2</th>\n",
       "      <td>0.561620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SFReed</th>\n",
       "      <td>0.547445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMinton</th>\n",
       "      <td>0.512974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FFrankfurter</th>\n",
       "      <td>0.507997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RHJackson</th>\n",
       "      <td>0.421405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FMurphy</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBRutledge</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              rf_correct\n",
       "justiceName             \n",
       "AJGoldberg      0.742616\n",
       "EWarren         0.725455\n",
       "WODouglas       0.718999\n",
       "WJBrennan       0.714957\n",
       "HLBlack         0.709941\n",
       "AFortas         0.698276\n",
       "WHRehnquist     0.691170\n",
       "WEBurger        0.681867\n",
       "TMarshall       0.679299\n",
       "CThomas         0.673013\n",
       "JGRoberts       0.666248\n",
       "AScalia         0.665021\n",
       "SGBreyer        0.663080\n",
       "BRWhite         0.662417\n",
       "DHSouter        0.660949\n",
       "RBGinsburg      0.660944\n",
       "SDOConnor       0.660254\n",
       "SAAlito         0.660182\n",
       "AMKennedy       0.648679\n",
       "HABlackmun      0.643577\n",
       "SSotomayor      0.643006\n",
       "LFPowell        0.626038\n",
       "PStewart        0.620017\n",
       "JPStevens       0.613092\n",
       "TCClark         0.610227\n",
       "EKagan          0.581395\n",
       "CEWhittaker     0.576812\n",
       "FMVinson        0.568720\n",
       "HHBurton        0.565605\n",
       "JHarlan2        0.561620\n",
       "SFReed          0.547445\n",
       "SMinton         0.512974\n",
       "FFrankfurter    0.507997\n",
       "RHJackson       0.421405\n",
       "FMurphy              NaN\n",
       "WBRutledge           NaN"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show averages by justice\n",
    "accuracy_by_justice = pandas.DataFrame(data.groupby(\"justiceName\")[\"rf_correct\"].mean())\n",
    "accuracy_by_justice.sort_values(\"rf_correct\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "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>accuracy_spread</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>justiceName</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TMarshall</th>\n",
       "      <td>0.192833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WJBrennan</th>\n",
       "      <td>0.147313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SFReed</th>\n",
       "      <td>0.114964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WHRehnquist</th>\n",
       "      <td>0.113466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WODouglas</th>\n",
       "      <td>0.103682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEWhittaker</th>\n",
       "      <td>0.101449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HHBurton</th>\n",
       "      <td>0.098089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPStevens</th>\n",
       "      <td>0.097607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CThomas</th>\n",
       "      <td>0.094241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCClark</th>\n",
       "      <td>0.092137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLBlack</th>\n",
       "      <td>0.089392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JHarlan2</th>\n",
       "      <td>0.089126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HABlackmun</th>\n",
       "      <td>0.080945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMinton</th>\n",
       "      <td>0.077844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEBurger</th>\n",
       "      <td>0.077307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AScalia</th>\n",
       "      <td>0.076516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FMVinson</th>\n",
       "      <td>0.075829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RBGinsburg</th>\n",
       "      <td>0.074034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHSouter</th>\n",
       "      <td>0.070326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRWhite</th>\n",
       "      <td>0.064359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EWarren</th>\n",
       "      <td>0.062273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SDOConnor</th>\n",
       "      <td>0.060804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LFPowell</th>\n",
       "      <td>0.051321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGBreyer</th>\n",
       "      <td>0.048698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSotomayor</th>\n",
       "      <td>0.045929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAAlito</th>\n",
       "      <td>0.045396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FFrankfurter</th>\n",
       "      <td>0.044174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMKennedy</th>\n",
       "      <td>0.044151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AFortas</th>\n",
       "      <td>0.043103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PStewart</th>\n",
       "      <td>0.042375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AJGoldberg</th>\n",
       "      <td>0.033755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RHJackson</th>\n",
       "      <td>0.026756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EKagan</th>\n",
       "      <td>0.007752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JGRoberts</th>\n",
       "      <td>0.005019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FMurphy</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBRutledge</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              accuracy_spread\n",
       "justiceName                  \n",
       "TMarshall            0.192833\n",
       "WJBrennan            0.147313\n",
       "SFReed               0.114964\n",
       "WHRehnquist          0.113466\n",
       "WODouglas            0.103682\n",
       "CEWhittaker          0.101449\n",
       "HHBurton             0.098089\n",
       "JPStevens            0.097607\n",
       "CThomas              0.094241\n",
       "TCClark              0.092137\n",
       "HLBlack              0.089392\n",
       "JHarlan2             0.089126\n",
       "HABlackmun           0.080945\n",
       "SMinton              0.077844\n",
       "WEBurger             0.077307\n",
       "AScalia              0.076516\n",
       "FMVinson             0.075829\n",
       "RBGinsburg           0.074034\n",
       "DHSouter             0.070326\n",
       "BRWhite              0.064359\n",
       "EWarren              0.062273\n",
       "SDOConnor            0.060804\n",
       "LFPowell             0.051321\n",
       "SGBreyer             0.048698\n",
       "SSotomayor           0.045929\n",
       "SAAlito              0.045396\n",
       "FFrankfurter         0.044174\n",
       "AMKennedy            0.044151\n",
       "AFortas              0.043103\n",
       "PStewart             0.042375\n",
       "AJGoldberg           0.033755\n",
       "RHJackson            0.026756\n",
       "EKagan               0.007752\n",
       "JGRoberts            0.005019\n",
       "FMurphy                   NaN\n",
       "WBRutledge                NaN"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show averages by justice\n",
    "accuracy_spread_by_justice = pandas.DataFrame(data.groupby(\"justiceName\")[\"rf_correct\"].mean() -\\\n",
    "                                      data.groupby(\"justiceName\")[\"dummy_correct\"].mean(),\n",
    "                                              columns=[\"accuracy_spread\"])\n",
    "accuracy_spread_by_justice.sort_values(\"accuracy_spread\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "vote_reverse\n",
       "0    0.394094\n",
       "1    0.345515\n",
       "2    0.438407\n",
       "3    0.510828\n",
       "4    0.623351\n",
       "5    0.647180\n",
       "6    0.716535\n",
       "7    0.753607\n",
       "8    0.810732\n",
       "9    0.876207\n",
       "Name: rf_correct, dtype: float64"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby(\"vote_reverse\")[\"rf_correct\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rf_correct_case</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vote_reverse</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.293337</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.230185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.218895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.190327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.219892</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.904306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.909273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.911298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.937043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.932784</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              rf_correct_case\n",
       "vote_reverse                 \n",
       "0                    0.293337\n",
       "1                    0.230185\n",
       "2                    0.218895\n",
       "3                    0.190327\n",
       "4                    0.219892\n",
       "5                    0.904306\n",
       "6                    0.909273\n",
       "7                    0.911298\n",
       "8                    0.937043\n",
       "9                    0.932784"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show averages by number of reverses\n",
    "accuracy_by_reverse = pandas.DataFrame(data.groupby(\"vote_reverse\")[\"rf_correct_case\"].mean())\n",
    "accuracy_by_reverse.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accuracy_spread</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vote_reverse</th>\n",
       "      <th></th>\n",
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       "      <th>4</th>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.095694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.090727</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.088702</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.062957</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.067216</td>\n",
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      ],
      "text/plain": [
       "              accuracy_spread\n",
       "vote_reverse                 \n",
       "0                    0.293337\n",
       "1                    0.230185\n",
       "2                    0.218895\n",
       "3                    0.190327\n",
       "4                    0.153946\n",
       "5                   -0.095694\n",
       "6                   -0.090727\n",
       "7                   -0.088702\n",
       "8                   -0.062957\n",
       "9                   -0.067216"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show averages by number of reverses\n",
    "accuracy_spread_by_reverse = pandas.DataFrame(data.groupby(\"vote_reverse\")[\"rf_correct_case\"].mean() -\\\n",
    "                                       data.groupby(\"vote_reverse\")[\"dummy_correct_case\"].mean(),\n",
    "                                       columns=[\"accuracy_spread\"])\n",
    "accuracy_spread_by_reverse.sort_index()"
   ]
  }
 ],
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