{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**This notebook uses data exported from iMoodJournal, a mobile app for mood tracking. Is that in your account?**\n",
    "\n",
    "You can read more and upload data here: [upload iMoodJournal data](https://oh-data-uploader.herokuapp.com/upload?datatype_id=20)\n",
    "\n",
    "**Note from Mad:** I created this notebook analyze my mood relative to a series of specific, repeated events: testosterone injections. Testosterone is believed to have an effect on mood; transfolk report low/bad mood associated with lower testosterone before injection, and higher/better moods shortly afterwards. I started testosterone a couple months ago, in August 2019, and I've been tracking my mood using iMoodJournal since May 2019."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get packages and load data\n",
    "\n",
    "Information about the code is provided for anyone that's interested.\n",
    "\n",
    "To start, the code below imports packages this notebook uses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "import io\n",
    "import os\n",
    "\n",
    "import arrow\n",
    "import pandas\n",
    "import numpy as np\n",
    "from matplotlib import pyplot\n",
    "import ohapi\n",
    "import requests\n",
    "import seaborn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, get a list of all available data on Open Humans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "token = os.environ.get('OH_ACCESS_TOKEN')\n",
    "user = ohapi.api.exchange_oauth2_member(token)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, search that data for a datafile that matches the iMoodJournal DataType (id=20).\n",
    "\n",
    "**If this fails, one may need to go back to the top of this notebook and follow instructions for adding this data.** Once that's done, it's necessary to run the code above to refresh the file list.\n",
    "\n",
    "If successful, the file data is loaded into the `raw_data` variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mood_log = [x for x in user['data'] if\n",
    "            'https://www.openhumans.org/api/public/datatype/20/'\n",
    "            in x['datatypes']][0]\n",
    "raw_data = requests.get(mood_log['download_url']).content"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now load this data into a `pandas` data frame. (This notebook is using the `pandas` library for data analysis.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "datafile = io.StringIO(raw_data.decode('utf-8'))\n",
    "mood = pandas.read_csv(datafile, index_col=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to organize and access the data according to timepoints, the code below combines information across columns to create a single index column `DateTime` with the pandas datetime format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Trying to parse different date formats (iMoodJournal export is inconsistent!)...\n",
    "def get_isoformat(string):\n",
    "    options = ['MMM D, YYYY H m', 'D. MMM YYYY H m']\n",
    "    err = None\n",
    "    for fmt in options:\n",
    "        try:\n",
    "            return arrow.get(string, fmt).isoformat()\n",
    "        except Exception as e:\n",
    "            err = e\n",
    "            continue\n",
    "    raise e\n",
    "\n",
    "mood['DateTime'] = pandas.to_datetime(\n",
    "    (mood['Date'] + \" \" + mood['Hour'].map(str) + ' ' + mood['Minute'].map(str)).map(\n",
    "        lambda x: get_isoformat(x)\n",
    "    ))\n",
    "mood = mood.set_index('DateTime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, I'm adding some other personal data I collected: the times I've injected testosterone. This was a copy and paste from my Google spreadsheet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "injections_raw = \"\"\"DateTime\tAmount (mg)\n",
    "201908141600\t30\n",
    "201908210500\t30\n",
    "201908280600\t30\n",
    "201909031700\t30\n",
    "201909100600\t30\n",
    "201909162000\t30\n",
    "201909230600\t30\n",
    "201909291200\t30\n",
    "201910060900\t30\n",
    "201910130900\t30\n",
    "201910211500\t30\n",
    "201910271700\t30\n",
    "201911030900\t50\n",
    "201911100900\t50\"\"\"\n",
    "\n",
    "datetimes = []\n",
    "amounts = []\n",
    "data_in = io.StringIO(injections_raw)\n",
    "data_in.readline()\n",
    "for line in data_in:\n",
    "    data = line.strip().split('\\t')\n",
    "    dt = arrow.get(data[0], 'YYYYMMDDHHmm').isoformat()\n",
    "    datetimes.append(dt)\n",
    "    amounts.append(int(data[1]))\n",
    "\n",
    "injections = pandas.DataFrame({\n",
    "    'DateTime': pandas.to_datetime(datetimes),\n",
    "    'Amount': amounts,\n",
    "})\n",
    "injections = injections.set_index('DateTime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Graphs!\n",
    "\n",
    "First, let's start with a plot of the full time period to show all mood levels and injections over time.\n",
    "\n",
    "This isn't very informative, but we can try to see if there's been a general change since starting T."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seaborn.set(rc={'figure.figsize':(11, 4)})\n",
    "\n",
    "combined_data = pandas.concat([mood, injections], sort=True)\n",
    "combined_data['Level'].plot(linewidth=1, style=\".\")\n",
    "combined_data['Amount'].plot(style=\"o\", secondary_y=True)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If testosterone is affecting my mood, **I expect the strongest \"signal\" to occur shortly after injection.**\n",
    "\n",
    "Let's calculate and plot mood levels relative to each injection. To do that, I've decided to make a general solution that can be re-used…\n",
    "\n",
    "**Here's a generic function to examine data relative to repeated events.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def overlay_and_aggregate(df, events, field, before=4, after=4, rolling_avg_n=40):\n",
    "    \"\"\"\n",
    "    Overlay and aggregate numeric data from a DateTime indexed dataframe and list of events.\n",
    "\n",
    "    Inputs:\n",
    "    - df: DateTime indexed dataframe\n",
    "    - events: list of DateTimes\n",
    "    - field: field with numeric values in df for overlay and aggregate\n",
    "    - before (default: 7): number of days before each event to graph\n",
    "    - after (default: 7): number of days after each event to graph\n",
    "    - rolling_avg_n (default: 30): number of datapoints to combine for\n",
    "        rolling average across all events\n",
    "    \"\"\"\n",
    "    all_rel_times = {}\n",
    "    idx = 0\n",
    "    for event in events:\n",
    "        rel_times = []\n",
    "        amounts = []\n",
    "        for dt in df.index:\n",
    "            diff = arrow.get(dt) - arrow.get(event)\n",
    "            if diff < timedelta(days=after) and diff > timedelta(days=-before):\n",
    "                diff_days = diff.days + diff.seconds/(24 * 60 * 60)\n",
    "                rel_times.append(diff_days)\n",
    "                amounts.append(df[field][dt])\n",
    "        all_rel_times[event.isoformat()] = pandas.DataFrame(\n",
    "            {'Relative time (days)': rel_times, field: amounts}\n",
    "        ).set_index('Relative time (days)', drop=False)\n",
    "\n",
    "    combined_data = pandas.DataFrame({'Relative time (days)': [], 'Level': []})\n",
    "    for key in all_rel_times.keys():\n",
    "        all_rel_times[key][field].plot(x='Relative time', style=\".\")\n",
    "        combined_data = pandas.concat([combined_data, all_rel_times[key]], sort=True)\n",
    "\n",
    "    combined_data = combined_data.sort_values('Relative time (days)')\n",
    "    combined_data['average'] = combined_data.iloc[:,0].rolling(window=rolling_avg_n).mean()\n",
    "    plot = combined_data['average'].plot(style=':', color='darkred')\n",
    "    return plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graph mood vs. injection times\n",
    "\n",
    "My first effort used an averaging window of 8. This seemed very noisy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = overlay_and_aggregate(mood, injections.index, 'Level', rolling_avg_n=8)\n",
    "plot = plot.set_ylabel(\"Mood level\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But increasing the window size to 40: **I do seem to see a mood increase in the day after injection?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = overlay_and_aggregate(mood, injections.index, 'Level', rolling_avg_n=40)\n",
    "plot = plot.set_ylabel(\"Mood level\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is this just a weekly rhythm?\n",
    "\n",
    "My injections are weekly, and recently they occur on Sundays. What if I simply have lower moods on the weekends – might that explain this pattern?\n",
    "\n",
    "One way to check is to shift my injections around the week and continue collecting data.\n",
    "\n",
    "Another is to **check if I see the same pattern if I map moods against the start of each week** – I can re-use my function to do this right away, by mapping against the start of Monday each week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_date = min(injections.index)\n",
    "end_date = max(mood.index)\n",
    "first_monday = arrow.get(start_date).floor(\"week\").shift(days=1).floor(\"day\")\n",
    "\n",
    "week_starts = [a.datetime for a in arrow.Arrow.range(\"week\", first_monday, end_date)]\n",
    "\n",
    "plot = overlay_and_aggregate(mood, week_starts, 'Level', rolling_avg_n=40)\n",
    "plot = plot.set_ylabel(\"Mood level\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "**I'm leaning towards believing there really is a shift!**\n",
    "\n",
    "Initially I thought \"no pattern\": I'm very skeptical and cautious of making inferences from data, my experience in research has taught me there are many confounders and false leads.\n",
    "\n",
    "But with a sufficiently large averaging window, there seems to be a genuine change to the average data. Also, the one confounder I expected – a weekly pattern – doesn't seem to explain the pattern.\n",
    "\n",
    "If testosterone is affecting my mood, I expect the strongest \"signal\" to occur shortly after injection.\n",
    "\n",
    "### Thank you\n",
    "\n",
    "Many thanks to [Eric Jain](https://forum.quantifiedself.com/t/tracking-transition-with-testosterone/7289/12) and Bastian Greshake Tzovaras, whose feedback was brief but sufficient to nudge me to revisit the analysis (twice now!) to add (a) a larger averaging window, and (b) check the weekly patterns.\n",
    "\n",
    "### Code license and re-use\n",
    "\n",
    "This notebook is released by its creator, Mad Price Ball, as public domain under a CC0 waiver. Full legal text of CC0 is available here: https://creativecommons.org/publicdomain/zero/1.0/legalcode\n",
    "\n",
    "But if you do re-use it, it's always nice to get a shout out and hear back from folks. ;)"
   ]
  }
 ],
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   "language": "python",
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