diff --git a/notebook.ipynb b/notebook.ipynb
index 924b879..6dcb8f1 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -21,840 +21,102 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "colNames = ['date', 'value']\n",
-    "meditateChecks = pd.read_csv('LoopHabits/002 Meditate/Checkmarks.csv', names=colNames, header=None)\n",
-    "meditateScore = pd.read_csv('LoopHabits/002 Meditate/Scores.csv', names=colNames, header=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 159,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>Meditate</th>\n",
-       "      <th>Exercise</th>\n",
-       "      <th>Read</th>\n",
-       "      <th>Journal</th>\n",
-       "      <th>devlog</th>\n",
-       "      <th>Plants</th>\n",
-       "      <th>Draw</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-16</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-14</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2020-01-12</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2020-01-11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2020-01-10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2020-01-09</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2020-01-08</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2020-01-07</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2020-01-06</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>2020-01-05</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2020-01-04</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>2020-01-03</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2020-01-02</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2019-12-30</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>2019-12-29</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>2019-12-28</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>2019-12-27</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>2019-12-26</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>2019-12-25</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>2019-12-24</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>2019-12-23</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>2019-12-22</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>2019-12-21</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>2019-12-20</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>717</th>\n",
-       "      <td>2018-01-30</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>718</th>\n",
-       "      <td>2018-01-29</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>719</th>\n",
-       "      <td>2018-01-28</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>720</th>\n",
-       "      <td>2018-01-27</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>721</th>\n",
-       "      <td>2018-01-26</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>722</th>\n",
-       "      <td>2018-01-25</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>723</th>\n",
-       "      <td>2018-01-24</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>724</th>\n",
-       "      <td>2018-01-23</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>725</th>\n",
-       "      <td>2018-01-22</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>726</th>\n",
-       "      <td>2018-01-21</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>727</th>\n",
-       "      <td>2018-01-20</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>728</th>\n",
-       "      <td>2018-01-19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>729</th>\n",
-       "      <td>2018-01-18</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>730</th>\n",
-       "      <td>2018-01-17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>731</th>\n",
-       "      <td>2018-01-16</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>732</th>\n",
-       "      <td>2018-01-15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>733</th>\n",
-       "      <td>2018-01-14</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>734</th>\n",
-       "      <td>2018-01-13</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>735</th>\n",
-       "      <td>2018-01-12</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>736</th>\n",
-       "      <td>2018-01-11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>737</th>\n",
-       "      <td>2018-01-10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>738</th>\n",
-       "      <td>2018-01-09</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>739</th>\n",
-       "      <td>2018-01-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>740</th>\n",
-       "      <td>2018-01-07</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>741</th>\n",
-       "      <td>2018-01-06</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>742</th>\n",
-       "      <td>2018-01-05</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>743</th>\n",
-       "      <td>2018-01-04</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>744</th>\n",
-       "      <td>2018-01-03</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>745</th>\n",
-       "      <td>2018-01-02</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>746</th>\n",
-       "      <td>2018-01-01</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>747 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           date  Meditate  Exercise  Read  Journal  devlog  Plants  Draw\n",
-       "0    2020-01-17         2         2     0        1       0       0     0\n",
-       "1    2020-01-16         0         0     0        1       0       0     0\n",
-       "2    2020-01-15         0         0     0        1       0       0     0\n",
-       "3    2020-01-14         2         1     1        1       0       0     0\n",
-       "4    2020-01-13         0         1     2        2       0       0     0\n",
-       "5    2020-01-12         0         1     2        0       0       0     0\n",
-       "6    2020-01-11         0         1     1        0       0       0     0\n",
-       "7    2020-01-10         0         2     2        0       0       0     0\n",
-       "8    2020-01-09         0         2     0        0       0       0     0\n",
-       "9    2020-01-08         1         2     1        1       0       0     0\n",
-       "10   2020-01-07         2         2     2        1       0       0     0\n",
-       "11   2020-01-06         0         0     2        1       0       0     0\n",
-       "12   2020-01-05         2         0     0        1       0       0     0\n",
-       "13   2020-01-04         0         2     0        1       0       0     0\n",
-       "14   2020-01-03         0         0     0        1       0       0     0\n",
-       "15   2020-01-02         0         0     0        2       0       0     0\n",
-       "16   2020-01-01         0         0     0        0       0       0     0\n",
-       "17   2019-12-31         0         0     0        0       0       0     0\n",
-       "18   2019-12-30         0         1     0        0       0       0     0\n",
-       "19   2019-12-29         0         2     1        0       0       0     0\n",
-       "20   2019-12-28         0         0     2        0       0       0     0\n",
-       "21   2019-12-27         0         2     2        0       1       0     0\n",
-       "22   2019-12-26         0         1     0        1       1       0     0\n",
-       "23   2019-12-25         0         1     0        1       1       0     0\n",
-       "24   2019-12-24         2         2     0        1       1       0     0\n",
-       "25   2019-12-23         1         0     0        1       1       0     0\n",
-       "26   2019-12-22         1         0     0        1       1       0     0\n",
-       "27   2019-12-21         2         2     0        1       2       0     0\n",
-       "28   2019-12-20         2         2     1        2       0       0     0\n",
-       "29   2019-12-19         0         0     2        1       0       0     0\n",
-       "..          ...       ...       ...   ...      ...     ...     ...   ...\n",
-       "717  2018-01-30         2         0     0        2       0       0     0\n",
-       "718  2018-01-29         0         0     0        2       0       0     0\n",
-       "719  2018-01-28         0         1     0        1       0       0     0\n",
-       "720  2018-01-27         0         1     0        1       0       0     0\n",
-       "721  2018-01-26         0         2     0        1       0       0     0\n",
-       "722  2018-01-25         1         0     0        2       0       0     0\n",
-       "723  2018-01-24         1         1     0        1       0       0     0\n",
-       "724  2018-01-23         2         2     0        2       0       0     0\n",
-       "725  2018-01-22         2         2     0        2       0       0     0\n",
-       "726  2018-01-21         0         1     0        0       0       0     0\n",
-       "727  2018-01-20         0         1     0        0       0       0     0\n",
-       "728  2018-01-19         0         1     0        0       0       0     0\n",
-       "729  2018-01-18         0         2     0        1       0       0     0\n",
-       "730  2018-01-17         2         2     0        1       0       0     0\n",
-       "731  2018-01-16         0         1     0        1       0       0     0\n",
-       "732  2018-01-15         0         2     0        1       0       0     0\n",
-       "733  2018-01-14         1         2     0        1       0       0     0\n",
-       "734  2018-01-13         1         1     0        1       0       0     0\n",
-       "735  2018-01-12         2         1     0        2       0       0     0\n",
-       "736  2018-01-11         2         1     0        0       0       0     0\n",
-       "737  2018-01-10         0         2     0        0       0       0     0\n",
-       "738  2018-01-09         0         1     0        0       0       0     0\n",
-       "739  2018-01-08         0         2     0        0       0       0     0\n",
-       "740  2018-01-07         0         2     0        0       0       0     0\n",
-       "741  2018-01-06         0         1     0        0       0       0     0\n",
-       "742  2018-01-05         0         2     0        0       0       0     0\n",
-       "743  2018-01-04         0         0     0        0       0       0     0\n",
-       "744  2018-01-03         0         0     0        0       0       0     0\n",
-       "745  2018-01-02         2         2     0        0       0       0     0\n",
-       "746  2018-01-01         0         2     0        0       0       0     0\n",
-       "\n",
-       "[747 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Days done: Meditate    64\n",
+      "Exercise    65\n",
+      "Read        69\n",
+      "Journal     49\n",
+      "devlog      32\n",
+      "Plants      38\n",
+      "Draw        12\n",
+      "dtype: int64\n",
+      "Non-streak days: Meditate    176\n",
+      "Exercise    179\n",
+      "Read        161\n",
+      "Journal      70\n",
+      "devlog      154\n",
+      "Plants      120\n",
+      "Draw        252\n",
+      "dtype: int64\n",
+      "Streak days: Meditate     35\n",
+      "Exercise     31\n",
+      "Read         45\n",
+      "Journal     156\n",
+      "devlog       89\n",
+      "Plants      117\n",
+      "Draw         11\n",
+      "dtype: int64\n",
+      "Longest streak: Meditate    17\n",
+      "Exercise    11\n",
+      "Read        12\n",
+      "Journal     55\n",
+      "devlog      29\n",
+      "Plants      87\n",
+      "Draw        17\n",
+      "dtype: int64\n",
+      "Longest zeros: Meditate     23\n",
+      "Exercise     26\n",
+      "Read         43\n",
+      "Journal      27\n",
+      "devlog      121\n",
+      "Plants       54\n",
+      "Draw        229\n",
+      "dtype: int64\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'index' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-159-0fca2d01ba7c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Longest streak: \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongestStreak\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Longest zeros: \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongestZero\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Best month: \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcalendar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonth_name\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msumMonth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0midxmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;31m#print(\"Worst month: \" + calendar.month_name[int(sumMonth(df).idxmin())])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;31m#plotScore(df)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-157-8d2f281b4755>\u001b[0m in \u001b[0;36msumMonth\u001b[0;34m(df)\u001b[0m\n\u001b[1;32m     41\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msumMonth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'month'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDatetimeIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     44\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'month'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'index' is not defined"
+     ]
     }
    ],
    "source": [
     "#colNames = ['date', 'Godmode', 'Meditate', 'Exercise', 'Piano','Read', 'Journal', 'Gratitude', 'devlog','Plants', 'Job', 'Draw']\n",
     "checks = pd.read_csv('LoopHabits/Checkmarks.csv', header=0)\n",
-    "checks = checks.drop(['Godmode', 'Piano', 'Gratitude', 'Job'], axis=1)\n",
-    "checks"
+    "checks.set_axis(checks['date'], axis='index', inplace=True)\n",
+    "checks = checks.drop(['Godmode', 'Piano', 'Gratitude', 'Job', 'date'], axis=1)\n",
+    "df = MarchOnwards(only2019(checks))\n",
+    "print(\"Days done: \" + str(countValue(2, df)))\n",
+    "print(\"Non-streak days: \" + str(countZeros(df)))\n",
+    "print(\"Streak days: \" + str(countValue(1, df)))\n",
+    "print(\"Longest streak: \" + str(df.apply(longestStreak, axis=0)))\n",
+    "print(\"Longest zeros: \" + str(df.apply(longestZero, axis=0)))\n",
+    "print(\"Best month: \" + calendar.month_name[int(sumMonth(df).idxmax())])\n",
+    "#print(\"Worst month: \" + calendar.month_name[int(sumMonth(df).idxmin())])\n",
+    "#plotScore(df)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 157,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "IndentationError",
-     "evalue": "expected an indented block (<ipython-input-80-9f6f54af3f2a>, line 19)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-80-9f6f54af3f2a>\"\u001b[0;36m, line \u001b[0;32m19\u001b[0m\n\u001b[0;31m    diffStreak = pd.concat([pd.Series([0]) , df[::-1].value, pd.Series([0])]).diff().tolist()\u001b[0m\n\u001b[0m             ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def only2019(df):\n",
-    "    df['drop'] = df['date'].apply(lambda x: 0 if x[0:4] == '2019' else 1)\n",
-    "    df = df.drop(df[df['drop'] == 1].index)\n",
-    "    df = df.drop(columns=['drop'])\n",
-    "    return df\n",
+    "    return df.filter(like='2019', axis=0)\n",
     "\n",
     "def MarchOnwards(df):\n",
     "    # For habits only, lost my phone in late Febuary, didn't have a recent backup\n",
-    "    df['drop'] = df['date'].apply(lambda x: 1 if x[5:7] == '01' or x[5:7] == '02' else 0)\n",
-    "    df = df.drop(df[df['drop'] == 1].index)\n",
-    "    df = df.drop(columns=['drop'])\n",
-    "    return df\n",
+    "    return df.filter(regex='[0-9]{4}-(0?[4-9]|1?[0-2])-[0-9]{2}', axis=0)\n",
     "\n",
     "def longestZero(df):\n",
     "    # reverse the series so dates are ascending (increasing?)\n",
     "    # pad out the series with 0s, then diff it to track total, use that total to calculate highest streak\n",
     "    # streak increases when sum is 0\n",
-    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1].value, pd.Series([0])]).diff().tolist()\n",
+    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1], pd.Series([0])]).diff().tolist()\n",
     "    runningSum = 0\n",
     "    streak = 0\n",
     "    streakList = []\n",
@@ -871,7 +133,7 @@
     "    # reverse the series so dates are ascending (increasing?)\n",
     "    # pad out the series with 0s, then diff it to track total, use that total to calculate highest streak\n",
     "    # streak increases when sum is non-zero\n",
-    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1].value, pd.Series([0])]).diff().tolist()\n",
+    "    diffStreak = pd.concat([pd.Series([0]) , df[::-1], pd.Series([0])]).diff().tolist()\n",
     "    runningSum = 0\n",
     "    streak = 0\n",
     "    streakList = []\n",
@@ -885,7 +147,7 @@
     "    return max(streakList)\n",
     "\n",
     "def sumMonth(df):\n",
-    "    df['month'] = pd.DatetimeIndex(df['date']).month\n",
+    "    df['month'] = pd.DatetimeIndex(df[index]).month\n",
     "    return df.groupby(['month']).sum()\n",
     "\n",
     "def meanMonth(df):\n",
@@ -901,41 +163,60 @@
     "    return countValue(0, df)\n",
     "\n",
     "def countValue(countValue, df):\n",
-    "    return (df.value == countValue).astype(int).sum()\n"
+    "    return (df == countValue).astype(int).sum()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# checking for CSV of simply one habit\n",
+    "\n",
+    "colNames = ['date', 'value']\n",
+    "meditateChecks = pd.read_csv('LoopHabits/002 Meditate/Checkmarks.csv', names=colNames, header=None)\n",
+    "meditateScore = pd.read_csv('LoopHabits/002 Meditate/Scores.csv', names=colNames, header=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Days done: 72\n",
-      "Non-streak days: 195\n",
-      "Streak days: 39\n",
-      "Longest streak: 17\n",
-      "Longest zeros: 23\n",
-      "Best month: September\n",
-      "Worst month: April\n"
+     "ename": "KeyError",
+     "evalue": "'date'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2524\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2525\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2526\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'date'",
+      "\nDuring handling of the above exception, another exception occurred:\n",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-145-4079aebead98>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# might be broken now\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# need to deal with dates in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mmeditateChecks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchecks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'index'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMarchOnwards\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0monly2019\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmeditateChecks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Days done: \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcountValue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2137\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2138\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2139\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2141\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_getitem_column\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2144\u001b[0m         \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2145\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2146\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2148\u001b[0m         \u001b[0;31m# duplicate columns & possible reduce dimensionality\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   1840\u001b[0m         \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1841\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1842\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1843\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1844\u001b[0m             \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, item, fastpath)\u001b[0m\n\u001b[1;32m   3841\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3842\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3843\u001b[0;31m                 \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3844\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3845\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2525\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2526\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2527\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2529\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'date'"
      ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     }
    ],
    "source": [
+    "# might be broken now\n",
+    "# need to deal with dates in columns\n",
+    "meditateChecks.set_axis(checks['date'], axis='index', inplace=True)\n",
     "df = MarchOnwards(only2019(meditateChecks))\n",
     "print(\"Days done: \" + str(countValue(2, df)))\n",
     "print(\"Non-streak days: \" + str(countZeros(df)))\n",
@@ -987,23 +268,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['date', 'value', 'month'], dtype='object')"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.keys()"
-   ]
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {