![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# chatGPT analysis of Garmin stats"
+ ],
+ "metadata": {
+ "id": "gsR7Ay0KuqGl"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Setup"
+ ],
+ "metadata": {
+ "id": "AuY_RBBruxkA"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Install [Garth](https://github.com/matin/garth) to download stats from Garmin Connect."
+ ],
+ "metadata": {
+ "id": "yg5Hzyrbu2SV"
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "2YBVvyYJnRug"
+ },
+ "outputs": [],
+ "source": [
+ "%pip install garth >& /dev/null"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Set location of session tokens."
+ ],
+ "metadata": {
+ "id": "ZTzxkfQQu-fJ"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "GARTH_HOME = \"drive/MyDrive/garth\""
+ ],
+ "metadata": {
+ "id": "FPkG6WzOnfdP"
+ },
+ "execution_count": 2,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Mount Google Drive to access session tokens."
+ ],
+ "metadata": {
+ "id": "QeSi-VipvBa3"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from google.colab import drive\n",
+ "drive.mount(\"/content/drive\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "5nWiUmA5nh8k",
+ "outputId": "f8acf58a-3275-4b6f-b2b5-05c85a4585af"
+ },
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Mounted at /content/drive\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Attempt to resume session. Otherwise, log in. Save updated session in both cases."
+ ],
+ "metadata": {
+ "id": "youB5vWsvGwv"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import garth\n",
+ "from garth.exc import GarthException\n",
+ "from getpass import getpass\n",
+ "\n",
+ "try:\n",
+ " garth.resume(GARTH_HOME)\n",
+ " garth.client.username\n",
+ "except (FileNotFoundError, GarthException):\n",
+ " email = input(\"Email: \")\n",
+ " password = getpass(\"Password: \")\n",
+ " garth.client.login(email, password)\n",
+ "\n",
+ "garth.save(GARTH_HOME)"
+ ],
+ "metadata": {
+ "id": "jFYjpHMwnmRF"
+ },
+ "execution_count": 4,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Import Pandas and define period for analysis."
+ ],
+ "metadata": {
+ "id": "s09TVMCTvSEy"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "DAYS = 365 * 3"
+ ],
+ "metadata": {
+ "id": "r18SHYm6n_i9"
+ },
+ "execution_count": 5,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Query stats"
+ ],
+ "metadata": {
+ "id": "fHsEkJQNo_o0"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Sleep"
+ ],
+ "metadata": {
+ "id": "JFdWsRJHnw1H"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from datetime import timedelta\n",
+ "\n",
+ "sleep = pd.DataFrame(garth.DailySleep.list(period=DAYS))\n",
+ "sleep[\"calendar_date\"] = sleep[\"calendar_date\"].apply(lambda x: x - timedelta(days=1))\n",
+ "sleep.set_index(\"calendar_date\", inplace=True)\n",
+ "sleep.rename(columns={\"value\": \"sleep_quality\"}, inplace=True)"
+ ],
+ "metadata": {
+ "id": "cKH4pkwtoHt9"
+ },
+ "execution_count": 6,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Steps"
+ ],
+ "metadata": {
+ "id": "KXe5NV8HoYxZ"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "steps = pd.DataFrame(garth.DailySteps.list(period=DAYS))\n",
+ "steps.set_index(\"calendar_date\", inplace=True)"
+ ],
+ "metadata": {
+ "id": "uaG8YTPjobC8"
+ },
+ "execution_count": 7,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Stress"
+ ],
+ "metadata": {
+ "id": "YbV8jW-QofcS"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "stress = pd.DataFrame(garth.DailyStress.list(period=DAYS))\n",
+ "stress.set_index(\"calendar_date\", inplace=True)\n",
+ "stress[\"high_stress_duration\"].fillna(0, inplace=True)\n",
+ "stress[\"medium_stress_duration\"].fillna(0, inplace=True)"
+ ],
+ "metadata": {
+ "id": "lThQ23Rjog-Z"
+ },
+ "execution_count": 8,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "### Intensity minutes"
+ ],
+ "metadata": {
+ "id": "-NjiZ8OKoj3-"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "im = pd.DataFrame(garth.DailyIntensityMinutes.list(period=DAYS))\n",
+ "im.set_index(\"calendar_date\", inplace=True)\n",
+ "im[\"intensity_minutes\"] = im[\"moderate_value\"] + 2 * im[\"vigorous_value\"]\n",
+ "im.rename(\n",
+ " columns={\n",
+ " \"weekly_goal\": \"intensity_minutes_goal\",\n",
+ " \"moderate_value\": \"moderate_intensity_minutes\",\n",
+ " \"vigorous_value\": \"vigorous_intensity_minutes\",\n",
+ " },\n",
+ " inplace=True\n",
+ ")"
+ ],
+ "metadata": {
+ "id": "9BcHMdXzol6U"
+ },
+ "execution_count": 9,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Join stats"
+ ],
+ "metadata": {
+ "id": "NEaoXU7JpCve"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "stats = (\n",
+ " sleep\n",
+ " .join(steps)\n",
+ " .join(stress)\n",
+ " .join(im)\n",
+ ")\n",
+ "stats"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 475
+ },
+ "id": "hcLk5XzdpFZP",
+ "outputId": "9c7b40e3-7c58-4978-bcbe-38d20513199f"
+ },
+ "execution_count": 10,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " sleep_quality total_steps total_distance step_goal \\\n",
+ "calendar_date \n",
+ "2021-09-08 64 2728 2259 8830 \n",
+ "2021-09-09 65 7601 6338 7610 \n",
+ "2021-09-10 81 25646 19797 7610 \n",
+ "2021-09-11 0 6869 5701 9420 \n",
+ "2021-09-13 76 17210 15660 8970 \n",
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+ "2023-09-29 86 11261 8675 7280 \n",
+ "2023-09-30 79 8130 6742 7680 \n",
+ "2023-10-01 46 25434 21006 7770 \n",
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+ " overall_stress_level rest_stress_duration \\\n",
+ "calendar_date \n",
+ "2021-09-08 26 50100 \n",
+ "2021-09-09 32 29100 \n",
+ "2021-09-10 31 30780 \n",
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+ "2023-10-01 30 36900 \n",
+ "\n",
+ " low_stress_duration medium_stress_duration \\\n",
+ "calendar_date \n",
+ "2021-09-08 14400 10020 \n",
+ "2021-09-09 24420 8520 \n",
+ "2021-09-10 16500 5880 \n",
+ "2021-09-11 18720 7380 \n",
+ "2021-09-13 16440 13680 \n",
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+ "2023-09-28 23580 8520 \n",
+ "2023-09-29 11520 11400 \n",
+ "2023-09-30 15660 9840 \n",
+ "2023-10-01 8640 7680 \n",
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+ " high_stress_duration intensity_minutes_goal \\\n",
+ "calendar_date \n",
+ "2021-09-08 1500.0 150 \n",
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+ "2023-09-30 900.0 150 \n",
+ "2023-10-01 4140.0 150 \n",
+ "\n",
+ " moderate_intensity_minutes vigorous_intensity_minutes \\\n",
+ "calendar_date \n",
+ "2021-09-08 0.0 0.0 \n",
+ "2021-09-09 0.0 0.0 \n",
+ "2021-09-10 117.0 46.0 \n",
+ "2021-09-11 0.0 0.0 \n",
+ "2021-09-13 7.0 41.0 \n",
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+ "2023-09-27 0.0 0.0 \n",
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+ "2023-09-29 44.0 2.0 \n",
+ "2023-09-30 0.0 0.0 \n",
+ "2023-10-01 77.0 56.0 \n",
+ "\n",
+ " intensity_minutes \n",
+ "calendar_date \n",
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+ "2021-09-09 0.0 \n",
+ "2021-09-10 209.0 \n",
+ "2021-09-11 0.0 \n",
+ "2021-09-13 89.0 \n",
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+ "2023-09-27 0.0 \n",
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+ "\n",
+ "[743 rows x 13 columns]"
+ ],
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+ "\n",
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| 2021-09-09 | \n", + "65 | \n", + "7601 | \n", + "6338 | \n", + "7610 | \n", + "32 | \n", + "29100 | \n", + "24420 | \n", + "8520 | \n", + "1680.0 | \n", + "150 | \n", + "0.0 | \n", + "0.0 | \n", + "0.0 | \n", + "
| 2021-09-10 | \n", + "81 | \n", + "25646 | \n", + "19797 | \n", + "7610 | \n", + "31 | \n", + "30780 | \n", + "16500 | \n", + "5880 | \n", + "4020.0 | \n", + "150 | \n", + "117.0 | \n", + "46.0 | \n", + "209.0 | \n", + "
| 2021-09-11 | \n", + "0 | \n", + "6869 | \n", + "5701 | \n", + "9420 | \n", + "28 | \n", + "37380 | \n", + "18720 | \n", + "7380 | \n", + "1020.0 | \n", + "150 | \n", + "0.0 | \n", + "0.0 | \n", + "0.0 | \n", + "
| 2021-09-13 | \n", + "76 | \n", + "17210 | \n", + "15660 | \n", + "8970 | \n", + "37 | \n", + "25440 | \n", + "16440 | \n", + "13680 | \n", + "4200.0 | \n", + "150 | \n", + "7.0 | \n", + "41.0 | \n", + "89.0 | \n", + "
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| 2023-09-27 | \n", + "85 | \n", + "6367 | \n", + "5349 | \n", + "8740 | \n", + "30 | \n", + "34980 | \n", + "20460 | \n", + "6600 | \n", + "1200.0 | \n", + "150 | \n", + "0.0 | \n", + "0.0 | \n", + "0.0 | \n", + "
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| 2023-10-01 | \n", + "46 | \n", + "25434 | \n", + "21006 | \n", + "7770 | \n", + "30 | \n", + "36900 | \n", + "8640 | \n", + "7680 | \n", + "4140.0 | \n", + "150 | \n", + "77.0 | \n", + "56.0 | \n", + "189.0 | \n", + "
743 rows × 13 columns
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