Experimenting_with_Bokeh.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experimenting with Bokeh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.plotting import figure, output_file, show\n",
    "\n",
    "# prepare some data\n",
    "x = [1, 2, 3, 4, 5]\n",
    "y = [6, 7, 2, 4, 5]\n",
    "\n",
    "# output to static HTML file\n",
    "output_file(\"lines.html\")\n",
    "\n",
    "# create a new plot with a title and axis labels\n",
    "p = figure(title=\"simple line example\", x_axis_label='x', y_axis_label='y')\n",
    "\n",
    "# add a line renderer with legend and line thickness\n",
    "p.line(x, y, legend_label=\"Temp.\", line_width=2)\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare some data\n",
    "x = [0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0]\n",
    "y0 = [i**2 for i in x]\n",
    "y1 = [10**i for i in x]\n",
    "y2 = [10**(i**2) for i in x]\n",
    "\n",
    "# output to static HTML file\n",
    "output_file(\"log_lines.html\")\n",
    "\n",
    "# create a new plot\n",
    "p = figure(\n",
    "   tools=\"pan,box_zoom,reset,save\",\n",
    "   y_axis_type=\"log\", y_range=[0.001, 10**11], title=\"log axis example\",\n",
    "   x_axis_label='sections', y_axis_label='particles'\n",
    ")\n",
    "\n",
    "# add some renderers\n",
    "p.line(x, x, legend_label=\"y=x\")\n",
    "p.circle(x, x, legend_label=\"y=x\", fill_color=\"white\", size=8)\n",
    "p.line(x, y0, legend_label=\"y=x^2\", line_width=3)\n",
    "p.line(x, y1, legend_label=\"y=10^x\", line_color=\"red\")\n",
    "p.circle(x, y1, legend_label=\"y=10^x\", fill_color=\"red\", line_color=\"red\", size=6)\n",
    "p.line(x, y2, legend_label=\"y=10^x^2\", line_color=\"orange\", line_dash=\"4 4\")\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, output_file, show\n",
    "\n",
    "# prepare some data\n",
    "N = 4000\n",
    "x = np.random.random(size=N) * 100\n",
    "y = np.random.random(size=N) * 100\n",
    "radii = np.random.random(size=N) * 1.5\n",
    "colors = [\n",
    "    \"#%02x%02x%02x\" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y)\n",
    "]\n",
    "\n",
    "# output to static HTML file (with CDN resources)\n",
    "output_file(\"color_scatter.html\", title=\"color_scatter.py example\", mode=\"cdn\")\n",
    "\n",
    "TOOLS = \"crosshair,pan,wheel_zoom,box_zoom,reset,box_select,lasso_select\"\n",
    "\n",
    "# create a new plot with the tools above, and explicit ranges\n",
    "p = figure(tools=TOOLS, x_range=(0, 100), y_range=(0, 100))\n",
    "\n",
    "# add a circle renderer with vectorized colors and sizes\n",
    "p.circle(x, y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None)\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, output_file, show\n",
    "from bokeh.sampledata.stocks import AAPL\n",
    "# prepare some data\n",
    "aapl = np.array(AAPL['adj_close'])\n",
    "aapl_dates = np.array(AAPL['date'], dtype=np.datetime64)\n",
    "\n",
    "window_size = 30\n",
    "window = np.ones(window_size)/float(window_size)\n",
    "aapl_avg = np.convolve(aapl, window, 'same')\n",
    "\n",
    "# output to static HTML file\n",
    "output_file(\"stocks.html\", title=\"stocks.py example\")\n",
    "\n",
    "# create a new plot with a datetime axis type\n",
    "p = figure(plot_width=800, plot_height=350, x_axis_type=\"datetime\")\n",
    "\n",
    "# add renderers\n",
    "p.circle(aapl_dates, aapl, size=4, color='darkgrey', alpha=0.2, legend_label='close')\n",
    "p.line(aapl_dates, aapl_avg, color='navy', legend_label='avg')\n",
    "\n",
    "# NEW: customize by setting attributes\n",
    "p.title.text = \"AAPL One-Month Average\"\n",
    "p.legend.location = \"top_left\"\n",
    "p.grid.grid_line_alpha = 0\n",
    "p.xaxis.axis_label = 'Date'\n",
    "p.yaxis.axis_label = 'Price'\n",
    "p.ygrid.band_fill_color = \"olive\"\n",
    "p.ygrid.band_fill_alpha = 0.1\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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