diff --git "a/Matching Exploration.ipynb" "b/Matching Exploration.ipynb"
--- "a/Matching Exploration.ipynb"
+++ "b/Matching Exploration.ipynb"
@@ -5,11 +5,44 @@
    "execution_count": 1,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.ipify.org:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.ipify.org:443 \"GET / HTTP/1.1\" 200 14\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"POST /gradio-initiated-analytics/ HTTP/1.1\" 200 31\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"POST /gradio-initiated-analytics/ HTTP/1.1\" 200 31\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"GET /pkg-version HTTP/1.1\" 200 20\n",
+      "DEBUG:asyncio:Using selector: KqueueSelector\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.ipify.org:443\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using cache from '/Users/dodijk/Library/CloudStorage/OneDrive-RTLNederlandB.V/code/videomatch/gradio_cached_examples/13' directory. If method or examples have changed since last caching, delete this folder to clear cache.\n"
+      "Using cache from '/Users/ijanssen/videomatch/gradio_cached_examples/15' directory. If method or examples have changed since last caching, delete this folder to clear cache.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "DEBUG:urllib3.connectionpool:https://api.ipify.org:443 \"GET / HTTP/1.1\" 200 14\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"POST /gradio-initiated-analytics/ HTTP/1.1\" 200 31\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"POST /gradio-initiated-analytics/ HTTP/1.1\" 200 31\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"GET /pkg-version HTTP/1.1\" 200 20\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.ipify.org:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.ipify.org:443 \"GET / HTTP/1.1\" 200 14\n",
+      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): api.gradio.app:443\n",
+      "DEBUG:urllib3.connectionpool:https://api.gradio.app:443 \"POST /gradio-initiated-analytics/ HTTP/1.1\" 200 31\n"
      ]
     }
    ],
@@ -19,25 +52,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 170,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/rzmicviu1fe740t/Bram%20van%20Ojik%20krijgt%20reprimande.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index has in total 182 frames\n",
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/4ognq8lshcujk43/Plenaire_zaal_20200923132426_Omtzigt.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114 already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index has in total 7471 frames\n"
+     ]
+    }
+   ],
    "source": [
-    "video_index = index_hashes_for_video(video_urls[0])\n",
-    "target_indices = [index_hashes_for_video(x) for x in video_urls[-1:]]\n",
-    "    \n",
+    "target = video_urls[-1:] # (Plenaire Zaal) Long video\n",
+    "url = video_urls[1] # (0: Ploumen) (1: Bram) (2: Baudet) Short video which is a (maybe mixed up) subset of the soure video\n",
+    "  \n",
+    "\n",
+    "# Source\n",
+    "video_index = index_hashes_for_video(url)\n",
     "video_index.make_direct_map()\n",
-    "hash_vectors = np.array([video_index.reconstruct(i) for i in range(video_index.ntotal)])"
+    "# video_index.ntotal # Total number of frames for the video, after changing its FPS to 5 \n",
+    "hash_vectors = np.array([video_index.reconstruct(i) for i in range(video_index.ntotal)])\n",
+    "\n",
+    "# Target\n",
+    "target_indices = [index_hashes_for_video(x) for x in [target][0]]\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 171,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/rzmicviu1fe740t/Bram%20van%20Ojik%20krijgt%20reprimande.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index has in total 182 frames\n",
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/4ognq8lshcujk43/Plenaire_zaal_20200923132426_Omtzigt.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114 already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index has in total 7471 frames\n"
+     ]
+    },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -47,53 +112,542 @@
     }
    ],
    "source": [
-    "import time\n",
-    "import datetime\n",
+    "x = compare_videos(url, target[0], MIN_DISTANCE=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/rzmicviu1fe740t/Bram%20van%20Ojik%20krijgt%20reprimande.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/e295c0e13c21aa3e971921627e8c8b1a.index has in total 182 frames\n",
+      "INFO:root:Skipping downloading from https://www.dropbox.com/s/4ognq8lshcujk43/Plenaire_zaal_20200923132426_Omtzigt.mp4?dl=1 because /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114 already exists.\n",
+      "INFO:root:Loading indexed hashes from /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index\n",
+      "INFO:root:Index /var/folders/hy/qkxzx5jj0hvcj_l_lpvn81sc0000gp/T/95fc56d68e602bc591942581d1c98114.index has in total 7471 frames\n"
+     ]
+    }
+   ],
+   "source": [
+    "MIN_DISTANCE = 10\n",
+    "\n",
+    "# Url (short video) \n",
+    "video_index = index_hashes_for_video(url)\n",
+    "video_index.make_direct_map() # Make sure the index is indexable\n",
+    "hash_vectors = np.array([video_index.reconstruct(i) for i in range(video_index.ntotal)]) # Retrieve original indices\n",
+    "\n",
+    "# Target video (long video)\n",
+    "target_indices = [index_hashes_for_video(x) for x in [target][0]]\n",
     "\n",
     "# The results are returned as a triplet of 1D arrays \n",
     "# lims, D, I, where result for query i is in I[lims[i]:lims[i+1]] \n",
     "# (indices of neighbors), D[lims[i]:lims[i+1]] (distances).\n",
-    "FPS = 5\n",
-    "MIN_DISTANCE = 3\n",
-    "lims, D, I = target_indices[0].range_search(hash_vectors, MIN_DISTANCE)\n",
+    "lims, D, I = target_indices[0].range_search(hash_vectors, MIN_DISTANCE)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_comparison(lims, D, I, hash_vectors, MIN_DISTANCE = 3):\n",
+    "    sns.set_theme()\n",
+    "\n",
+    "    x = [(lims[i+1]-lims[i]) * [i] for i in range(hash_vectors.shape[0])]\n",
+    "    x = [i/FPS for j in x for i in j]\n",
+    "    y = [i/FPS for i in I]\n",
+    "    \n",
+    "    # Create figure and dataframe to plot with sns\n",
+    "    fig = plt.figure()\n",
+    "    # plt.tight_layout()\n",
+    "    df = pd.DataFrame(zip(x, y), columns = ['X', 'Y'])\n",
+    "    g = sns.scatterplot(data=df, x='X', y='Y', s=20*(1-(D/(MIN_DISTANCE+1))), alpha=1-D/MIN_DISTANCE)\n",
     "\n",
-    "min_distances = [min(list(D[lims[i]:lims[i+1]]) or [np.nan]) for i in range(hash_vectors.shape[0])]\n",
-    "best_match = [min(list(I[lims[i]:lims[i+1]]) or [np.nan]) for i in range(hash_vectors.shape[0])]\n",
+    "    # Set x-labels to be more readable\n",
+    "    x_locs, x_labels = plt.xticks() # Get original locations and labels for x ticks\n",
+    "    x_labels = [time.strftime('%H:%M:%S', time.gmtime(x)) for x in x_locs]\n",
+    "    plt.xticks(x_locs, x_labels)\n",
+    "    plt.xticks(rotation=90)\n",
+    "    plt.xlabel('Time in source video (H:M:S)')\n",
+    "    plt.xlim(0, None)\n",
     "\n",
+    "    # Set y-labels to be more readable\n",
+    "    y_locs, y_labels = plt.yticks() # Get original locations and labels for x ticks\n",
+    "    y_labels = [time.strftime('%H:%M:%S', time.gmtime(y)) for y in y_locs]\n",
+    "    plt.yticks(y_locs, y_labels)\n",
+    "    plt.ylabel('Time in target video (H:M:S)')\n",
+    "\n",
+    "    # Adjust padding to fit gradio\n",
+    "    plt.subplots_adjust(bottom=0.25, left=0.20)\n",
+    "    return fig \n",
+    "\n",
+    "_ = plot_comparison(lims, D, I, hash_vectors, MIN_DISTANCE = MIN_DISTANCE)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "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>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>X_WEIGHT</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>614.8</td>\n",
+       "      <td>0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>630.4</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>631.0</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>631.8</td>\n",
+       "      <td>0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>632.0</td>\n",
+       "      <td>0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1806</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1256.8</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1807</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1257.0</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1808</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1257.2</td>\n",
+       "      <td>0.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1809</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1257.4</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1810</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1257.6</td>\n",
+       "      <td>0.8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1811 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         X       Y  X_WEIGHT\n",
+       "0      0.0   614.8       0.2\n",
+       "1      0.0   630.4       0.6\n",
+       "2      0.0   631.0       0.4\n",
+       "3      0.0   631.8       0.2\n",
+       "4      0.0   632.0       0.2\n",
+       "...    ...     ...       ...\n",
+       "1806  36.2  1256.8       0.4\n",
+       "1807  36.2  1257.0       0.4\n",
+       "1808  36.2  1257.2       0.4\n",
+       "1809  36.2  1257.4       0.6\n",
+       "1810  36.2  1257.6       0.8\n",
+       "\n",
+       "[1811 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 174,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
     "x = [(lims[i+1]-lims[i]) * [i] for i in range(hash_vectors.shape[0])]\n",
-    "x = [datetime.datetime(1970, 1, 1, 0, 0) + datetime.timedelta(seconds=i/FPS) for j in x for i in j]\n",
+    "x = [i/FPS for j in x for i in j]\n",
+    "y = [i/FPS for i in I]\n",
     "\n",
-    "y = [datetime.datetime(1970, 1, 1, 0, 0) + datetime.timedelta(seconds=i/FPS) for i in I]\n",
     "\n",
-    "import matplotlib\n",
-    "import matplotlib.pyplot as plt\n",
+    "df = pd.DataFrame(zip(x, y), columns = ['X', 'Y'])\n",
+    "df['X_WEIGHT'] = 1 - D/MIN_DISTANCE # Higher value means a better match\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "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>X</th>\n",
+       "      <th>Y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>632.864711</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.2</td>\n",
+       "      <td>628.870286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.4</td>\n",
+       "      <td>630.206667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.6</td>\n",
+       "      <td>629.586347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.8</td>\n",
+       "      <td>632.092322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>35.4</td>\n",
+       "      <td>1256.155524</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>35.6</td>\n",
+       "      <td>1256.695256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>35.8</td>\n",
+       "      <td>1256.545523</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>36.0</td>\n",
+       "      <td>1256.582592</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1256.582592</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>151 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        X            Y\n",
+       "0     0.0   632.864711\n",
+       "1     0.2   628.870286\n",
+       "2     0.4   630.206667\n",
+       "3     0.6   629.586347\n",
+       "4     0.8   632.092322\n",
+       "..    ...          ...\n",
+       "146  35.4  1256.155524\n",
+       "147  35.6  1256.695256\n",
+       "148  35.8  1256.545523\n",
+       "149  36.0  1256.582592\n",
+       "150  36.2  1256.582592\n",
+       "\n",
+       "[151 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 175,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Multiply the weight (which indicates a better match) with the value for Y\n",
+    "# and aggregate to get a less noisy estimate of Y\n",
+    "df['Y_WEIGHTED_VALUE'] = df['Y'] * df['X_WEIGHT'] \n",
     "\n",
-    "ax = plt.figure()\n",
-    "plt.scatter(x, y, s=2*(1-D/MIN_DISTANCE), alpha=1-D/MIN_DISTANCE)\n",
-    "plt.xlabel('Time in source video (seconds)')\n",
-    "plt.ylabel('Time in target video (seconds)')\n",
-    "plt.show()"
+    "# Group by X so for every second/x there will be 1 value of Y in the end\n",
+    "grouped_X = df.groupby('X').agg({'Y_WEIGHTED_VALUE' : 'sum', 'X_WEIGHT' : 'sum'})\n",
+    "grouped_X['FINAL_Y_VALUE'] = grouped_X['Y_WEIGHTED_VALUE'] / grouped_X['X_WEIGHT'] \n",
+    "\n",
+    "# Remake the dataframe\n",
+    "df_cleaned = grouped_X.reset_index()\n",
+    "df_cleaned = df_cleaned.drop(columns=['Y_WEIGHTED_VALUE', 'X_WEIGHT'])\n",
+    "df_cleaned = df_cleaned.rename({'FINAL_Y_VALUE' : 'Y'}, axis='columns')\n",
+    "df = df_cleaned\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x153b26e00>"
+      ]
+     },
+     "execution_count": 176,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(x=df['X'], y = df['Y'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1532e8c10>]"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(df['Y'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x152fa47f0>]"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "WINDOW_SIZE = 25\n",
+    "df['Rolling_Y'] = df['Y'].rolling(WINDOW_SIZE).mean()\n",
+    "plt.plot(df['Rolling_Y'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 179,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "datetime.datetime(1970, 1, 1, 1, 0, tzinfo=datetime.timezone.utc)"
+       "Text(0.5, 0, 'Time of source video in seconds')"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 179,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['ROLLSHIFT_Y'] = df['Y'].rolling(WINDOW_SIZE).mean().shift(3) - df['Y'].rolling(WINDOW_SIZE).mean()\n",
+    "sns.lineplot(data = df, x='X', y='ROLLSHIFT_Y')\n",
+    "plt.xlabel('Time of source video in seconds')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "datetime.fromtimestamp(0).replace(tzinfo=timezone.utc)"
+    "def plot_comparison(lims, D, I, hash_vectors, MIN_DISTANCE = 3):\n",
+    "    sns.set_theme()\n",
+    "\n",
+    "    x = [(lims[i+1]-lims[i]) * [i] for i in range(hash_vectors.shape[0])]\n",
+    "    x = [i/FPS for j in x for i in j]\n",
+    "    y = [i/FPS for i in I]\n",
+    "    \n",
+    "    # Create figure and dataframe to plot with sns\n",
+    "    fig = plt.figure()\n",
+    "    # plt.tight_layout()\n",
+    "    df = pd.DataFrame(zip(x, y), columns = ['X', 'Y'])\n",
+    "    g = sns.scatterplot(data=df, x='X', y='Y', s=50*(1-D/MIN_DISTANCE), alpha=1-D/MIN_DISTANCE)\n",
+    "\n",
+    "    # Set x-labels to be more readable\n",
+    "    x_locs, x_labels = plt.xticks() # Get original locations and labels for x ticks\n",
+    "    x_labels = [time.strftime('%H:%M:%S', time.gmtime(x)) for x in x_locs]\n",
+    "    plt.xticks(x_locs, x_labels)\n",
+    "    plt.xticks(rotation=90)\n",
+    "    plt.xlabel('Time in source video (H:M:S)')\n",
+    "    plt.xlim(0, None)\n",
+    "\n",
+    "    # Set y-labels to be more readable\n",
+    "    y_locs, y_labels = plt.yticks() # Get original locations and labels for x ticks\n",
+    "    y_labels = [time.strftime('%H:%M:%S', time.gmtime(y)) for y in y_locs]\n",
+    "    plt.yticks(y_locs, y_labels)\n",
+    "    plt.ylabel('Time in target video (H:M:S)')\n",
+    "\n",
+    "    # Adjust padding to fit gradio\n",
+    "    plt.subplots_adjust(bottom=0.25, left=0.20)\n",
+    "    return fig \n",
+    "\n",
+    "x = plot_comparison(lims, D, I, hash_vectors, MIN_DISTANCE = 3)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {