COVID-19.ipynb

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    "## COVID-19 Data Explorer\n",
    "\n",
    "Fetches current data from https://github.com/CSSEGISandData/COVID-19 (Johns Hopkins University, updated daily).\n",
    "\n",
    "Fits exponential function and plots current data and projection.\n",
    "\n",
    "Explore by selecting country and weeks for projection.\n",
    "\n",
    "**HOWTO**\n",
    "\n",
    "Select next cell and click `run` above or press `Shift+Enter`.\n",
    "\n",
    "**Experimental**:\n",
    "\n",
    " * Select `gaussfit` to fit Gaussian to data (very rough estimate, since we are just at the beginning of the curve :-/)\n",
    " * Select `plot_initial` to plot initial guess for gaussian fit."
   ]
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       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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       "HBox(children=(Dropdown(description='Country', options=('Germany', 'US', 'Italy', 'China', 'Afghanistan', 'Alb…"
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       "Output()"
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   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib widget\n",
    "\n",
    "from ipywidgets import interact, IntSlider, Dropdown, Checkbox, interactive_output, HBox\n",
    "\n",
    "from helpers import CovidPlot\n",
    "\n",
    "d = CovidPlot()\n",
    "\n",
    "#week_slider = IntSlider(value=1, min=0, max=124, step=1, continuous_update=True)\n",
    "\n",
    "c = Dropdown(options=d.countries, description='Country')\n",
    "cb_tot = Checkbox(value=False, description='Log Scale total numbers')\n",
    "cb_new = Checkbox(value=False, description='Log Scale new cases')\n",
    "ui = HBox([c, cb_tot, cb_new])\n",
    "\n",
    "out = interactive_output(d.plot_country, {'country': c, 'log_tot': cb_tot, 'log_new': cb_new})\n",
    "\n",
    "display(ui, out)\n",
    "\n",
    "#interact(d.plot_country,\n",
    "#         country=d.countries,\n",
    "#         log_tot=False,\n",
    "#         log_new=False)"
   ]
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