diff --git a/notebook.ipynb b/notebook.ipynb
index 6dcb8f1..7cd3fcc 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 159,
+   "execution_count": 183,
    "metadata": {},
    "outputs": [
     {
@@ -71,16 +71,157 @@
      ]
     },
     {
-     "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"
-     ]
+     "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>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",
+       "    <tr>\n",
+       "      <th>month</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>4</th>\n",
+       "      <td>0.133333</td>\n",
+       "      <td>0.266667</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.900000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.133333</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.387097</td>\n",
+       "      <td>0.193548</td>\n",
+       "      <td>0.193548</td>\n",
+       "      <td>0.645161</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.516129</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.266667</td>\n",
+       "      <td>0.166667</td>\n",
+       "      <td>0.666667</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.516129</td>\n",
+       "      <td>0.838710</td>\n",
+       "      <td>0.967742</td>\n",
+       "      <td>0.774194</td>\n",
+       "      <td>0.064516</td>\n",
+       "      <td>0.612903</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.806452</td>\n",
+       "      <td>0.741935</td>\n",
+       "      <td>0.935484</td>\n",
+       "      <td>1.161290</td>\n",
+       "      <td>1.225806</td>\n",
+       "      <td>1.193548</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.133333</td>\n",
+       "      <td>0.600000</td>\n",
+       "      <td>1.233333</td>\n",
+       "      <td>1.300000</td>\n",
+       "      <td>1.066667</td>\n",
+       "      <td>1.333333</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.774194</td>\n",
+       "      <td>1.064516</td>\n",
+       "      <td>0.580645</td>\n",
+       "      <td>0.935484</td>\n",
+       "      <td>1.032258</td>\n",
+       "      <td>1.193548</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.700000</td>\n",
+       "      <td>0.733333</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>1.233333</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.333333</td>\n",
+       "      <td>0.533333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.387097</td>\n",
+       "      <td>0.548387</td>\n",
+       "      <td>1.096774</td>\n",
+       "      <td>0.709677</td>\n",
+       "      <td>0.612903</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.612903</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Meditate  Exercise      Read   Journal    devlog    Plants      Draw\n",
+       "month                                                                      \n",
+       "4      0.133333  0.266667  0.000000  0.900000  0.000000  1.133333  0.000000\n",
+       "5      0.387097  0.193548  0.193548  0.645161  0.000000  0.516129  0.000000\n",
+       "6      0.500000  0.266667  0.166667  0.666667  0.000000  0.000000  0.000000\n",
+       "7      0.516129  0.838710  0.967742  0.774194  0.064516  0.612903  0.000000\n",
+       "8      0.806452  0.741935  0.935484  1.161290  1.225806  1.193548  0.000000\n",
+       "9      1.133333  0.600000  1.233333  1.300000  1.066667  1.333333  0.000000\n",
+       "10     0.774194  1.064516  0.580645  0.935484  1.032258  1.193548  0.000000\n",
+       "11     0.700000  0.733333  0.800000  1.233333  1.000000  0.333333  0.533333\n",
+       "12     0.387097  0.548387  1.096774  0.709677  0.612903  0.000000  0.612903"
+      ]
+     },
+     "execution_count": 183,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -94,14 +235,16 @@
     "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(\"Best month: \" + str(sumMonth(df)))\n",
+    "sumMonth(df)\n",
+    "meanMonth(df)\n",
     "#print(\"Worst month: \" + calendar.month_name[int(sumMonth(df).idxmin())])\n",
     "#plotScore(df)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 182,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,11 +290,13 @@
     "    return max(streakList)\n",
     "\n",
     "def sumMonth(df):\n",
-    "    df['month'] = pd.DatetimeIndex(df[index]).month\n",
+    "    df2 = df.reset_index()\n",
+    "    df['month'] = pd.DatetimeIndex(df2['date']).month\n",
     "    return df.groupby(['month']).sum()\n",
     "\n",
     "def meanMonth(df):\n",
-    "    df['month'] = pd.DatetimeIndex(df['date']).month\n",
+    "    df2 = df.reset_index()\n",
+    "    df['month'] = pd.DatetimeIndex(df2['date']).month\n",
     "    return df.groupby(['month']).mean()\n",
     "\n",
     "def plotScore(df):\n",