{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### ***Note: This notebook is featured in an [instructional video](https://youtu.be/cL9Hd7cKnNU) on visualizing time series data in `pywwt`. Follow the link to see its creation in action!***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing Time Series Data with `pywwt`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import dependencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Table\n",
    "from astropy.time import Time, TimeDelta\n",
    "from astropy import units as u\n",
    "from datetime import datetime\n",
    "from pywwt.jupyter import WWTJupyterWidget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve a catalog of gamma ray bursts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bursts = Table.read('../data/grb_table_lite.ecsv', format='ascii.ecsv')\n",
    "bursts  # print out out to get a sense of what the data are like"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adjust the date formatting to match what WWT accepts:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bursts['dates_JD'] = Time(bursts['dates_JD'], format='jd').isot\n",
    "bursts.rename_column('dates_JD', 'dates_ISO')\n",
    "bursts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Upload the table to `pywwt`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wwt = WWTJupyterWidget()\n",
    "wwt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*If you're using JupyterLab* and not just a plain Jupyter notebook, you can move the WWT view to a separate window pane. This is **extremely** useful since it lets you keep on typing code without scrolling WWT out of view. Here's how you do that:\n",
    "\n",
    "![Right click and select \"Create New View for Output\"](../data/separate-pane-instructions.jpg)\n",
    "\n",
    "If you don't get a menu when you right-click, or the menu doesn't look like the one pictured, you are using a plain Jupyter notebook and will have to scroll back and forth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lay = wwt.layers.add_table_layer(table=bursts, frame='Sky',\n",
    "                                 lon_att='ra', lat_att='dec')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lay.size_scale *= 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lay.time_series = True\n",
    "lay.time_att = 'dates_ISO'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lay.time_decay = 1 * u.yr\n",
    "wwt.get_current_time()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manipulate time and watch the gamma ray bursts appear."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grb1 = bursts[0]\n",
    "wwt.center_on_coordinates(SkyCoord(grb1['ra'], grb1['dec'],\n",
    "                                   unit=u.deg))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wwt.set_current_time( (Time(grb1['dates_ISO'], format='isot')\n",
    "                       - TimeDelta(3 * u.second)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wwt.get_current_time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wwt.play_time(rate=3e6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can find out more about adding layers [in our documentation](https://pywwt.readthedocs.io/en/stable/layers.html) and contact us with any comments or questions at the [WorldWide Telescope Forum](https://wwt-forum.org/) or by opening an issue or pull request at [`pywwt`'s main GitHub repository](https://github.com/WorldWideTelescope/pywwt). Thank you for trying out this example notebook on visualizing time series data in `pywwt`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Credits\n",
    "\n",
    "This notebook was prepared by O. Justin Otor."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}