bokeh_step_line.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from bokeh.plotting import figure, output_notebook, show\n",
    "from bokeh.models import NumeralTickFormatter\n",
    "from bokeh.models import FixedTicker\n",
    "import math\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    window._bokeh_onload_callbacks.push(callback);\n",
       "    if (window._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"5b6c3ea7-6eaa-4016-ab04-e9e9b55c1f6c\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Showing the before/after as static images below since github does not show bokeh's output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pAfjVu5jDL5+b/4r+XnLXzNfX/7YXSU81/evci6rCXVXY67vkLpetCYv31u632HluJ14u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\n4NA5Xrr4BgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(\"./images/before.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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d+sqTj8tZXKzPO64p8Ov3NTQ0JEnKSE/Xk48/pi8/ekibNm3UL999Tx98eFqP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\nFN6P8eGqVVNo7LoYWacfeR46AAAW8P8BAghCl0C9RREAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(\"./images/after.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = [1, 2, 3, 4, 5, 6]\n",
    "b = [2, 5, 9, 1, 2, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"4cbc5894-658b-4cd8-9894-c0322ca819ad\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"4cbc5894-658b-4cd8-9894-c0322ca819ad\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"4cbc5894-658b-4cd8-9894-c0322ca819ad\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '4cbc5894-658b-4cd8-9894-c0322ca819ad' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
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       "      load_libs(js_urls, function() {\n",
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       "</script>"
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = figure(plot_height = 300, plot_width = 500, title=' , Volume')\n",
    "\n",
    "p.line(a, b, legend='something', color='green', line_width=2)\n",
    "p.left[0].formatter.use_scientific = False\n",
    "\n",
    "p.xaxis.ticker = FixedTicker(ticks=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
    "p.yaxis[0].formatter = NumeralTickFormatter(format=\"0,0\")\n",
    "p.legend.background_fill_alpha = 0.1\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def step_line(x, y):\n",
    "    \"\"\"\n",
    "    ingest two lists\n",
    "    set offsets such that the data can be used\n",
    "    to generate a step-line plot.\n",
    "    \n",
    "    Steps are thus:\n",
    "        * for x's, repeat all but the first.\n",
    "        * for y's, double up each occurance except the last\n",
    "    \n",
    "    Example:\n",
    "        Before:\n",
    "            a = [1, 2, 3, 4, 5]\n",
    "            b = [2, 5, 9, 1, 2]\n",
    "        After:\n",
    "            a = [1, 2, 2, 3, 3, 4, 4, 5, 5]\n",
    "            b = [2, 2, 5, 5, 9, 9, 1, 1, 2]\n",
    "    \"\"\"\n",
    "    x1 = []\n",
    "    y1 = []\n",
    "    \n",
    "    for idx in (range(len(x)*2-1)):\n",
    "        if idx == 0:\n",
    "            print(idx)\n",
    "            x1.append(x[idx])\n",
    "            y1.append(y[idx])\n",
    "        else:\n",
    "            #print('ceil is: ' + str(math.ceil(idx/2)))\n",
    "            x1.append(x[math.ceil(idx/2)])\n",
    "            y1.append(y[math.floor(idx/2)])\n",
    "    return x1, y1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "one, two = step_line(a, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
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       "       \"</code>\\n\"+\n",
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       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"5857b2fc-513f-45fe-ad3f-f1878ae5b7c4\",\"elementid\":\"d49cb160-b073-4ff8-b4d4-364a07767f24\",\"modelid\":\"0e7f996e-1631-432a-b907-970c203ca418\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"d49cb160-b073-4ff8-b4d4-364a07767f24\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = figure(plot_height = 300, plot_width = 500, title=' , Volume')\n",
    "\n",
    "p.line(one, two, legend='something', color='green', line_width=2)\n",
    "p.left[0].formatter.use_scientific = False\n",
    "\n",
    "p.xaxis.ticker = FixedTicker(ticks=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
    "p.yaxis[0].formatter = NumeralTickFormatter(format=\"0,0\")\n",
    "p.legend.background_fill_alpha = 0.1\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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