{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "34001c4b-fd7b-49a9-8389-35c0c6d6ffba",
   "metadata": {},
   "source": [
    "## Centroid Datamap\n",
    "Temporal Mapper constructs a graph which does not have an inherent visualization. Moreover, if your data has $d$ semantic dimensions, then the graph 'naturally' lives in $d+1$ dimensions when including time.\n",
    "\n",
    "A centroid datamap of a `TemporalMapper` is a 2d plot where each vertex is plotted on the centroid of its constituent points. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bead087-1e56-4d8f-9221-d496f6f26c83",
   "metadata": {},
   "source": [
    "Let's demonstrate a centroid datamap by fitting a `TemporalMapper` to a small dataset of 10,000 arXiv machine learning papers. The paper's titles and abstracts were concatenated and embedded using the sentence transformer [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2), and then reduced to 2D with UMAP."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "52fe5ea8-32bd-4750-997c-90e7a32adc57",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:52:12.473194Z",
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     "iopub.status.idle": "2026-03-09T20:52:52.715745Z",
     "shell.execute_reply": "2026-03-09T20:52:52.714849Z",
     "shell.execute_reply.started": "2026-03-09T20:52:12.473180Z"
    }
   },
   "outputs": [],
   "source": [
    "import temporalmapper as tm\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import requests, io\n",
    "from sklearn.cluster import DBSCAN\n",
    "from fast_hdbscan import HDBSCAN\n",
    "import datamapplot as dmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cc6ea0fb-62a7-434d-baf7-c3e97e5adffd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:52:52.716598Z",
     "iopub.status.busy": "2026-03-09T20:52:52.716232Z",
     "iopub.status.idle": "2026-03-09T20:52:53.738737Z",
     "shell.execute_reply": "2026-03-09T20:52:53.738058Z",
     "shell.execute_reply.started": "2026-03-09T20:52:52.716580Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>title</th>\n",
       "      <th>abstract</th>\n",
       "      <th>id</th>\n",
       "      <th>created</th>\n",
       "      <th>authors</th>\n",
       "      <th>arxiv</th>\n",
       "      <th>doi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>automated rating of recorded classroom present...</td>\n",
       "      <td>effective presentation skills can help to succ...</td>\n",
       "      <td>1801.00453</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>[akzharkyn izbassarova, aidana irmanova, a. p....</td>\n",
       "      <td>cs.ai</td>\n",
       "      <td>10.1109/icacci.2017.8125872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>accelerating deep learning with memcomputing</td>\n",
       "      <td>restricted boltzmann machines (rbms) and their...</td>\n",
       "      <td>1801.00512</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>[haik manukian, fabio l. traversa, massimilian...</td>\n",
       "      <td>cs.ai</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>accelerating deep learning with memcomputing</td>\n",
       "      <td>restricted boltzmann machines (rbms) and their...</td>\n",
       "      <td>1801.00512</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>[haik manukian, fabio l. traversa, massimilian...</td>\n",
       "      <td>cs.lg</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>accurate reconstruction of image stimuli from ...</td>\n",
       "      <td>in neuroscience, all kinds of computation mode...</td>\n",
       "      <td>1801.00602</td>\n",
       "      <td>2018-01-02</td>\n",
       "      <td>[kai qiao, chi zhang, linyuan wang, bin yan, j...</td>\n",
       "      <td>cs.ai</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>deep learning: a critical appraisal</td>\n",
       "      <td>although deep learning has historical roots go...</td>\n",
       "      <td>1801.00631</td>\n",
       "      <td>2018-01-02</td>\n",
       "      <td>[gary marcus]</td>\n",
       "      <td>cs.lg</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                               title  \\\n",
       "0  automated rating of recorded classroom present...   \n",
       "1       accelerating deep learning with memcomputing   \n",
       "2       accelerating deep learning with memcomputing   \n",
       "3  accurate reconstruction of image stimuli from ...   \n",
       "4                deep learning: a critical appraisal   \n",
       "\n",
       "                                            abstract          id     created  \\\n",
       "0  effective presentation skills can help to succ...  1801.00453  2018-01-01   \n",
       "1  restricted boltzmann machines (rbms) and their...  1801.00512  2018-01-01   \n",
       "2  restricted boltzmann machines (rbms) and their...  1801.00512  2018-01-01   \n",
       "3  in neuroscience, all kinds of computation mode...  1801.00602  2018-01-02   \n",
       "4  although deep learning has historical roots go...  1801.00631  2018-01-02   \n",
       "\n",
       "                                             authors  arxiv  \\\n",
       "0  [akzharkyn izbassarova, aidana irmanova, a. p....  cs.ai   \n",
       "1  [haik manukian, fabio l. traversa, massimilian...  cs.ai   \n",
       "2  [haik manukian, fabio l. traversa, massimilian...  cs.lg   \n",
       "3  [kai qiao, chi zhang, linyuan wang, bin yan, j...  cs.ai   \n",
       "4                                      [gary marcus]  cs.lg   \n",
       "\n",
       "                           doi  \n",
       "0  10.1109/icacci.2017.8125872  \n",
       "1                               \n",
       "2                               \n",
       "3                               \n",
       "4                               "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response = requests.get(\n",
    "    'https://github.com/TutteInstitute/temporal-mapper/raw/refs/heads/docs/docs/data/ai_arxiv_coordinates.npy'\n",
    ")\n",
    "map_data = np.load(io.BytesIO(response.content))\n",
    "\n",
    "response = requests.get(\n",
    "    'https://github.com/TutteInstitute/temporal-mapper/raw/refs/heads/docs/docs/data/ai_arxiv_data.feather'\n",
    ")\n",
    "df = pd.read_feather(io.BytesIO(response.content))\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a551f088-016c-4af4-bfc7-a11259ded55b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:52:53.739418Z",
     "iopub.status.busy": "2026-03-09T20:52:53.739269Z",
     "iopub.status.idle": "2026-03-09T20:52:53.784497Z",
     "shell.execute_reply": "2026-03-09T20:52:53.783923Z",
     "shell.execute_reply.started": "2026-03-09T20:52:53.739404Z"
    }
   },
   "outputs": [],
   "source": [
    "# Compute a time column T which is the number of days since Jan 01, 2018.\n",
    "def date_to_T(date):\n",
    "    d0 = pd.Timestamp('2018-01-01')\n",
    "    delta = date-d0\n",
    "    return delta.days\n",
    "\n",
    "df[\"date\"] = pd.to_datetime(df[\"created\"])\n",
    "df[\"T\"] = df[\"date\"].apply(\n",
    "    lambda x: date_to_T(x)\n",
    ")\n",
    "time = df[\"T\"].to_numpy().reshape(-1,1)\n",
    "X = np.concatenate([map_data, time],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a0d97647-d44f-480b-9741-be3fdfe14921",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:56:36.754400Z",
     "iopub.status.busy": "2026-03-09T20:56:36.754168Z",
     "iopub.status.idle": "2026-03-09T20:56:37.726325Z",
     "shell.execute_reply": "2026-03-09T20:56:37.725643Z",
     "shell.execute_reply.started": "2026-03-09T20:56:36.754384Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2456827/4122698149.py:13: DeprecationWarning: build() is deprecated and will be removed in a future version. Please use fit() instead for sklearn-compatible API.\n",
      "  mapper.build()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "}\n",
       "\n",
       "#sk-container-id-3.light {\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: black;\n",
       "  --sklearn-color-background: white;\n",
       "  --sklearn-color-border-box: black;\n",
       "  --sklearn-color-icon: #696969;\n",
       "}\n",
       "\n",
       "#sk-container-id-3.dark {\n",
       "  --sklearn-color-text-on-default-background: white;\n",
       "  --sklearn-color-background: #111;\n",
       "  --sklearn-color-border-box: white;\n",
       "  --sklearn-color-icon: #878787;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-3 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: center;\n",
       "  justify-content: center;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content {\n",
       "  display: none;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  overflow: visible;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-3 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-3 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-3) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  border: var(--sklearn-color-fitted-level-0) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-0);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  border: var(--sklearn-color-fitted-level-0) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-0);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".estimator-table {\n",
       "    font-family: monospace;\n",
       "}\n",
       "\n",
       ".estimator-table summary {\n",
       "    padding: .5rem;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".estimator-table summary::marker {\n",
       "    font-size: 0.7rem;\n",
       "}\n",
       "\n",
       ".estimator-table details[open] {\n",
       "    padding-left: 0.1rem;\n",
       "    padding-right: 0.1rem;\n",
       "    padding-bottom: 0.3rem;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "    margin-top: 0;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
       "    background-color: #fff;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(even) {\n",
       "    background-color: #f6f6f6;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:hover {\n",
       "    background-color: #e0e0e0;\n",
       "}\n",
       "\n",
       ".estimator-table table td {\n",
       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
       "}\n",
       "\n",
       "/*\n",
       "    `table td`is set in notebook with right text-align.\n",
       "    We need to overwrite it.\n",
       "*/\n",
       ".estimator-table table td.param {\n",
       "    text-align: left;\n",
       "    position: relative;\n",
       "    padding: 0;\n",
       "}\n",
       "\n",
       ".user-set td {\n",
       "    color:rgb(255, 94, 0);\n",
       "    text-align: left !important;\n",
       "}\n",
       "\n",
       ".user-set td.value {\n",
       "    color:rgb(255, 94, 0);\n",
       "    background-color: transparent;\n",
       "}\n",
       "\n",
       ".default td {\n",
       "    color: black;\n",
       "    text-align: left !important;\n",
       "}\n",
       "\n",
       ".user-set td i,\n",
       ".default td i {\n",
       "    color: black;\n",
       "}\n",
       "\n",
       "/*\n",
       "    Styles for parameter documentation links\n",
       "    We need styling for visited so jupyter doesn't overwrite it\n",
       "*/\n",
       "a.param-doc-link,\n",
       "a.param-doc-link:link,\n",
       "a.param-doc-link:visited {\n",
       "    text-decoration: underline dashed;\n",
       "    text-underline-offset: .3em;\n",
       "    color: inherit;\n",
       "    display: block;\n",
       "    padding: .5em;\n",
       "}\n",
       "\n",
       "/* \"hack\" to make the entire area of the cell containing the link clickable */\n",
       "a.param-doc-link::before {\n",
       "    position: absolute;\n",
       "    content: \"\";\n",
       "    inset: 0;\n",
       "}\n",
       "\n",
       ".param-doc-description {\n",
       "    display: none;\n",
       "    position: absolute;\n",
       "    z-index: 9999;\n",
       "    left: 0;\n",
       "    padding: .5ex;\n",
       "    margin-left: 1.5em;\n",
       "    color: var(--sklearn-color-text);\n",
       "    box-shadow: .3em .3em .4em #999;\n",
       "    width: max-content;\n",
       "    text-align: left;\n",
       "    max-height: 10em;\n",
       "    overflow-y: auto;\n",
       "\n",
       "    /* unfitted */\n",
       "    background: var(--sklearn-color-unfitted-level-0);\n",
       "    border: thin solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       "/* Fitted state for parameter tooltips */\n",
       ".fitted .param-doc-description {\n",
       "    /* fitted */\n",
       "    background: var(--sklearn-color-fitted-level-0);\n",
       "    border: thin solid var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".param-doc-link:hover .param-doc-description {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       ".copy-paste-icon {\n",
       "    background-image: url(data:image/svg+xml;base64,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);\n",
       "    background-repeat: no-repeat;\n",
       "    background-size: 14px 14px;\n",
       "    background-position: 0;\n",
       "    display: inline-block;\n",
       "    width: 14px;\n",
       "    height: 14px;\n",
       "    cursor: pointer;\n",
       "}\n",
       "</style><body><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>TemporalMapper(clusterer=HDBSCAN(min_cluster_size=20),\n",
       "               data=array([[ 4.8223996, -1.5714529],\n",
       "       [ 1.2089204, -3.8459172],\n",
       "       [ 1.2019355, -3.8558466],\n",
       "       ...,\n",
       "       [11.055405 , 10.082938 ],\n",
       "       [11.048662 , 10.091122 ],\n",
       "       [11.049046 , 10.090183 ]], shape=(10000, 2), dtype=float32),\n",
       "               n_slices=12, slice_method=&#x27;data&#x27;,\n",
       "               time=array([[  0],\n",
       "       [  0],\n",
       "       [  0],\n",
       "       ...,\n",
       "       [480],\n",
       "       [480],\n",
       "       [480]], shape=(10000, 1)))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>TemporalMapper</div></div><div><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
       "        <div class=\"estimator-table\">\n",
       "            <details>\n",
       "                <summary>Parameters</summary>\n",
       "                <table class=\"parameters-table\">\n",
       "                  <tbody>\n",
       "                    \n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('time',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">time</td>\n",
       "            <td class=\"value\">array([[  0],...pe=(10000, 1))</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('data',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">data</td>\n",
       "            <td class=\"value\">array([[ 4.82...dtype=float32)</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('clusterer',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">clusterer</td>\n",
       "            <td class=\"value\">HDBSCAN(min_cluster_size=20)</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('n_slices',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">n_slices</td>\n",
       "            <td class=\"value\">12</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('n_neighbors',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">n_neighbors</td>\n",
       "            <td class=\"value\">5</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('overlap',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">overlap</td>\n",
       "            <td class=\"value\">0.5</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('inclusion_threshold',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">inclusion_threshold</td>\n",
       "            <td class=\"value\">0.01</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('slice_method',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">slice_method</td>\n",
       "            <td class=\"value\">&#x27;data&#x27;</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('density_based',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">density_based</td>\n",
       "            <td class=\"value\">True</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('kernel',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">kernel</td>\n",
       "            <td class=\"value\">&lt;function squ...x798f7d54b240&gt;</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('kernel_params',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">kernel_params</td>\n",
       "            <td class=\"value\">None</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('verbose',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">verbose</td>\n",
       "            <td class=\"value\">False</td>\n",
       "        </tr>\n",
       "    \n",
       "                  </tbody>\n",
       "                </table>\n",
       "            </details>\n",
       "        </div>\n",
       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>clusterer: HDBSCAN</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"clusterer__\"><pre>HDBSCAN(min_cluster_size=20)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>HDBSCAN</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"clusterer__\">\n",
       "        <div class=\"estimator-table\">\n",
       "            <details>\n",
       "                <summary>Parameters</summary>\n",
       "                <table class=\"parameters-table\">\n",
       "                  <tbody>\n",
       "                    \n",
       "        <tr class=\"user-set\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('min_cluster_size',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">min_cluster_size</td>\n",
       "            <td class=\"value\">20</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('min_samples',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">min_samples</td>\n",
       "            <td class=\"value\">None</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('cluster_selection_method',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">cluster_selection_method</td>\n",
       "            <td class=\"value\">&#x27;eom&#x27;</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('allow_single_cluster',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">allow_single_cluster</td>\n",
       "            <td class=\"value\">False</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('max_cluster_size',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">max_cluster_size</td>\n",
       "            <td class=\"value\">inf</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('cluster_selection_epsilon',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">cluster_selection_epsilon</td>\n",
       "            <td class=\"value\">0.0</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
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       "    \n",
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       "            <td class=\"param\">ss_algorithm</td>\n",
       "            <td class=\"value\">&#x27;bc&#x27;</td>\n",
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      ],
      "text/plain": [
       "TemporalMapper(clusterer=HDBSCAN(min_cluster_size=20),\n",
       "               data=array([[ 4.8223996, -1.5714529],\n",
       "       [ 1.2089204, -3.8459172],\n",
       "       [ 1.2019355, -3.8558466],\n",
       "       ...,\n",
       "       [11.055405 , 10.082938 ],\n",
       "       [11.048662 , 10.091122 ],\n",
       "       [11.049046 , 10.090183 ]], shape=(10000, 2), dtype=float32),\n",
       "               n_slices=12, slice_method='data',\n",
       "               time=array([[  0],\n",
       "       [  0],\n",
       "       [  0],\n",
       "       ...,\n",
       "       [480],\n",
       "       [480],\n",
       "       [480]], shape=(10000, 1)))"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clusterer = HDBSCAN(\n",
    "    cluster_selection_method='eom',\n",
    "    min_cluster_size=20,\n",
    ")\n",
    "mapper = tm.TemporalMapper(\n",
    "    time,\n",
    "    map_data,\n",
    "    clusterer = clusterer,\n",
    "    slice_method = 'data',\n",
    "    n_slices = 12,\n",
    "    kernel=tm.kernels.square\n",
    ")\n",
    "mapper.build()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "024e63f6-43d5-4cf1-af06-60b7facfdad9",
   "metadata": {},
   "source": [
    "Now that we've fit a temporal Mapper, we can use `centroid_datamap` from `temporal_mapper.utilities`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "656db09b-6f0c-4a76-ad6c-c7add30517d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:56:39.044419Z",
     "iopub.status.busy": "2026-03-09T20:56:39.044193Z",
     "iopub.status.idle": "2026-03-09T20:56:39.375766Z",
     "shell.execute_reply": "2026-03-09T20:56:39.375161Z",
     "shell.execute_reply.started": "2026-03-09T20:56:39.044402Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tm.plotting.centroid_datamap(mapper)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52b65411-bd90-4070-93cf-cef2d00e74a8",
   "metadata": {},
   "source": [
    "The optional `ax` parameter can be passed to add a centroid datamap to an existing matplotlib axis. In particular, the centroid_datamap is designed to be added on top of a DataMapPlot plot of the cluster points, if one so desires:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ec629e16-c692-4f57-8287-f04a34251bc7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:56:40.740609Z",
     "iopub.status.busy": "2026-03-09T20:56:40.740384Z",
     "iopub.status.idle": "2026-03-09T20:57:03.736482Z",
     "shell.execute_reply": "2026-03-09T20:57:03.735854Z",
     "shell.execute_reply.started": "2026-03-09T20:56:40.740593Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datamapplot as dmp\n",
    "\n",
    "fig, ax = dmp.create_plot(\n",
    "    mapper.data,\n",
    "    df['arxiv'].to_list(),\n",
    ")\n",
    "tm.plotting.centroid_datamap(mapper, ax=ax, bundle=True)\n",
    "fig.set_figwidth(10)\n",
    "fig.set_figheight(8)\n",
    "ax.set_title(\"Topics in ar$\\chi$iv AI papers, 2018-2019\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da9b687d-8863-444a-b695-7f859fe754f4",
   "metadata": {},
   "source": [
    "By default, the centroid datamap matches colours with the temporal plot, to make it easier to relate the plots when viewing them side-by-side. To help convey the time information, vertices which correspond to earlier slices in the graph have their colour desaturated. This is a very subtle effect, so if you want to make the order of the vertices more obvious you can pass the option `node_colouring = 'override'`. This overrides the datamapplot colours, instead colouring vertices from dark to light as you move from the beginning to end of the time range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4fac886e-6ac6-43c0-bfca-7763d321d3bc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-09T20:58:04.865106Z",
     "iopub.status.busy": "2026-03-09T20:58:04.864880Z",
     "iopub.status.idle": "2026-03-09T20:58:04.983795Z",
     "shell.execute_reply": "2026-03-09T20:58:04.983131Z",
     "shell.execute_reply.started": "2026-03-09T20:58:04.865091Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1,2)\n",
    "\n",
    "tm.plotting.centroid_datamap(\n",
    "    mapper,\n",
    "    ax=ax1,\n",
    "    node_colouring = 'desaturate',\n",
    "    bundle=False\n",
    ")\n",
    "ax1.set_title(\"Default node colouring\")\n",
    "tm.plotting.centroid_datamap(\n",
    "    mapper,\n",
    "    ax=ax2,\n",
    "    node_colouring = 'override',\n",
    "    bundle=False,\n",
    ")\n",
    "ax2.set_title(\"node_colouring = 'override'\")\n",
    "fig.set_figwidth(10)\n",
    "fig.set_figheight(5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baa7e972-da95-4b0a-82e6-cefaa98970cd",
   "metadata": {},
   "source": [
    "The full set of parameters to customize `temporalmapper.plotting.centroid_datamap` is:\n",
    "\n",
    "| Name           | Type                                   | Default       | Description |\n",
    "|----------------|----------------------------------------|---------------|-------------|\n",
    "| mapper         | temporal_mapper.TemporalMapper         | —             | The temporal mapper object to plot. |\n",
    "| ax             | matplotlib.axes                        | None          | Matplotlib axis to draw on. |\n",
    "| node_colouring | `'desaturate'` or `'override'`        | `'desaturate'`| Determines how to incorporate temporal information in the color. The **desaturate** option keeps semantic colouring from datamapplot but desaturates points further back in time. The **override** option ignores semantic colouring and colors points only based on their time value. |\n",
    "| vertices       | list                                   | None          | List of nodes in `mapper.graph` to include in the plot. |\n",
    "| edge_labels    | dict                                   | None          | Dictionary of labels where `edge_labels[e]` is a string used to label edge `e`. |\n",
    "| edge_scaling   | float                                  | 1             | Scales the thickness of edges; larger values produce thicker edges. |\n",
    "| bundle         | bool                                   | True          | If `True`, bundle the edges of the graph using datashader’s `hammer_bundle` function. |\n",
    "| node_kwargs    | dict                                   | `{}`          | Keyword arguments passed to `networkx.draw_networkx_nodes()`. |\n",
    "| edge_kwargs    | dict                                   | `{}`          | Keyword arguments passed to `networkx.draw_networkx_edges()`. |"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Temp Topic Modelling (dev)",
   "language": "python",
   "name": "ttm-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}