other-plots.ipynb

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       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
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       "     \"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",
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       "    delete window._bokeh_onload_callbacks\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",
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       "    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",
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       "        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",
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       "\n",
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       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"aafea0b9-e698-4f3a-bbd9-9c79ef7bd4f3\").textContent = \"BokehJS is loading...\";\n",
       "\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.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",
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       "        display_loaded();\n",
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       "      setTimeout(run_inline_js, 100);\n",
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       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
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       "      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": [
    "import numpy as np\n",
    "from bokeh.plotting import output_notebook\n",
    "from bokeh.plotting import figure, show\n",
    "#from bokeh.plotting import output_file\n",
    "import numpy as np\n",
    "import bokeh.plotting as bk # Open output here and prevent to open in another tab\n",
    "bk.output_notebook()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "    </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",
       "        document.getElementById(\"b2f79de5-8a28-4339-8756-075e37948a53\").textContent = \"BokehJS successfully loaded.\";\n",
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       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\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",
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       "        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",
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       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
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       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'b2f79de5-8a28-4339-8756-075e37948a53' 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",
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       "            var docs_json = 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       "            var render_items = [{\"docid\":\"427d7ea2-b3c6-42b3-bea5-8f34cb64c7d4\",\"elementid\":\"b2f79de5-8a28-4339-8756-075e37948a53\",\"modelid\":\"d4b54716-60cb-4c35-8780-041afbad1a9c\"}];\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",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
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       "\n",
       "    function run_inline_js() {\n",
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       "          inline_js[i](window.Bokeh);\n",
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       "          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(\"b2f79de5-8a28-4339-8756-075e37948a53\")).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": [
    "from bokeh.layouts import row\n",
    "#from bokeh.plotting import figure, show#, output_file\n",
    "\n",
    "factors = [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\", \"g\", \"h\"]\n",
    "x =  [50, 40, 65, 10, 25, 37, 80, 60]\n",
    "\n",
    "dot = figure(title=\"Categorical Dot Plot\", tools=\"\", toolbar_location=None,\n",
    "            y_range=factors, x_range=[0,100])\n",
    "\n",
    "dot.segment(0, factors, x, factors, line_width=2, line_color=\"green\", )\n",
    "dot.circle(x, factors, size=15, fill_color=\"orange\", line_color=\"green\", line_width=3, )\n",
    "\n",
    "factors = [\"foo 123\", \"bar:0.2\", \"baz-10\"]\n",
    "x = [\"foo 123\", \"foo 123\", \"foo 123\", \"bar:0.2\", \"bar:0.2\"\n",
    "     , \"bar:0.2\", \"baz-10\",  \"baz-10\",  \"baz-10\"]\n",
    "y = [\"foo 123\", \"bar:0.2\", \"baz-10\",  \"foo 123\", \"bar:0.2\"\n",
    "     , \"baz-10\",  \"foo 123\", \"bar:0.2\", \"baz-10\"]\n",
    "colors = [\n",
    "    \"#0B486B\", \"#79BD9A\", \"#CFF09E\",\n",
    "    \"#79BD9A\", \"#0B486B\", \"#79BD9A\",\n",
    "    \"#CFF09E\", \"#79BD9A\", \"#0B486B\"\n",
    "]\n",
    "\n",
    "hm = figure(title=\"Categorical Heatmap\", tools=\"hover\", toolbar_location=None,\n",
    "            x_range=factors, y_range=factors)\n",
    "\n",
    "hm.rect(x, y, color=colors, width=1, height=1)\n",
    "\n",
    "#output_file(\"categorical.html\", title=\"categorical.py example\")\n",
    "\n",
    "show(row(hm, dot, sizing_mode=\"scale_width\"))  # open a browser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[4278230528 4286553600]\n",
      " [4278230655 4286553727]]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"00eed742-d494-4bbd-be28-2608e168985c\"></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",
       "        document.getElementById(\"00eed742-d494-4bbd-be28-2608e168985c\").textContent = \"BokehJS successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\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(\"00eed742-d494-4bbd-be28-2608e168985c\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '00eed742-d494-4bbd-be28-2608e168985c' 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 = {\"f5fc7e35-a786-4c20-812d-91ba51a2dc92\":{\"roots\":{\"references\":[{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fea01355-e206-4e91-95d7-69f3d9b8f241\",\"type\":\"BasicTicker\"}},\"id\":\"8db15b01-b63b-443c-83dd-853e1c3935f9\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"830116b8-8542-4878-9587-4c48def43b93\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fea01355-e206-4e91-95d7-69f3d9b8f241\",\"type\":\"BasicTicker\"}},\"id\":\"3658a3a6-7e4c-4d3c-89ba-f2a219337a53\",\"type\":\"LinearAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"c5e80e33-004e-4daa-9d63-de708e3874bf\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"830bfd33-aeb9-4b16-aa8e-3ef9aa301db7\",\"type\":\"BasicTicker\"}},\"id\":\"47f0dccb-dab6-47b8-96e8-24ffccfa861b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"b02c05a3-069e-4ff7-ae13-c1c72015e72d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"48a16f10-7b92-488c-8801-06b7274885a7\",\"type\":\"ImageRGBA\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"157c5e9a-e2e2-407f-af84-27d466c2bb29\",\"type\":\"ImageRGBA\"},\"selection_glyph\":null},\"id\":\"db63f6cc-83f3-49b4-baa3-e65fdb20900a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"4ab9292f-6967-4ca7-b8d0-3f968f1c6e53\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"fea01355-e206-4e91-95d7-69f3d9b8f241\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dh\":{\"units\":\"data\",\"value\":10},\"dw\":{\"units\":\"data\",\"value\":10},\"image\":{\"field\":\"image\"},\"x\":{\"value\":0},\"y\":{\"value\":0}},\"id\":\"157c5e9a-e2e2-407f-af84-27d466c2bb29\",\"type\":\"ImageRGBA\"},{\"attributes\":{\"below\":[{\"id\":\"47f0dccb-dab6-47b8-96e8-24ffccfa861b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"3658a3a6-7e4c-4d3c-89ba-f2a219337a53\",\"type\":\"LinearAxis\"}],\"renderers\":[{\"id\":\"47f0dccb-dab6-47b8-96e8-24ffccfa861b\",\"type\":\"LinearAxis\"},{\"id\":\"bec81bf7-f442-432d-bdcc-5bfce9178bc9\",\"type\":\"Grid\"},{\"id\":\"3658a3a6-7e4c-4d3c-89ba-f2a219337a53\",\"type\":\"LinearAxis\"},{\"id\":\"8db15b01-b63b-443c-83dd-853e1c3935f9\",\"type\":\"Grid\"},{\"id\":\"4d7dfe8e-7aa3-4bf1-9eb8-9c9d294530b6\",\"type\":\"BoxAnnotation\"},{\"id\":\"db63f6cc-83f3-49b4-baa3-e65fdb20900a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8cd49aa8-97db-44ef-9fba-3f165a5ff690\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"a625d067-8e1f-44e4-aa3b-df934a44633c\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"91ecdad9-6693-46a7-8b66-8a47dfc6c139\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"c2a7258e-5ff2-4b7a-9f05-c6aaeccaf323\",\"type\":\"Range1d\"},\"y_range\":{\"id\":\"cf120b1c-e5f9-459a-9d65-70758ffd2147\",\"type\":\"Range1d\"}},\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"4d7dfe8e-7aa3-4bf1-9eb8-9c9d294530b6\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"830116b8-8542-4878-9587-4c48def43b93\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"265f46ad-0e17-4d6d-97d3-27e772bc205e\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"image\"],\"data\":{\"image\":[{\"__ndarray__\":\"AJ4A/wCef/9/ngD/f55//w==\",\"dtype\":\"uint32\",\"shape\":[2,2]}]}},\"id\":\"b02c05a3-069e-4ff7-ae13-c1c72015e72d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"c5e80e33-004e-4daa-9d63-de708e3874bf\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"830bfd33-aeb9-4b16-aa8e-3ef9aa301db7\",\"type\":\"BasicTicker\"},{\"attributes\":{\"overlay\":{\"id\":\"4d7dfe8e-7aa3-4bf1-9eb8-9c9d294530b6\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"8435be9e-6a05-424a-8c7e-8514030fc341\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"830bfd33-aeb9-4b16-aa8e-3ef9aa301db7\",\"type\":\"BasicTicker\"}},\"id\":\"bec81bf7-f442-432d-bdcc-5bfce9178bc9\",\"type\":\"Grid\"},{\"attributes\":{\"plot\":{\"id\":\"b8c404d4-a0d5-4c45-91b2-d80affb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Application\",\"version\":\"0.12.4\"}};\n",
       "            var render_items = [{\"docid\":\"f5fc7e35-a786-4c20-812d-91ba51a2dc92\",\"elementid\":\"00eed742-d494-4bbd-be28-2608e168985c\",\"modelid\":\"b8c404d4-a0d5-4c45-91b2-d80affb5a78a\"}];\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",
       "      },\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(\"00eed742-d494-4bbd-be28-2608e168985c\")).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": [
    "from __future__ import division\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, show\n",
    "\n",
    "N = 2\n",
    "img = np.empty((N,N), dtype=np.uint32)\n",
    "view = img.view(dtype=np.uint8).reshape((N, N, 4))\n",
    "for i in range(N):\n",
    "    for j in range(N):\n",
    "        view[i, j, 0] = int(i/N*255)\n",
    "        view[i, j, 1] = 158\n",
    "        view[i, j, 2] = int(j/N*255)\n",
    "        view[i, j, 3] = 255\n",
    "\n",
    "p = figure(x_range=(0,10), y_range=(0,10))\n",
    "print(img)\n",
    "# must give a vector of images\n",
    "p.image_rgba(image=[img], x=0, y=0, dw=10, dh=10)\n",
    "\n",
    "#output_file(\"image_rgba.html\", title=\"image_rgba.py example\")\n",
    "show(p)  # open a browser\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.layouts import row\n",
    "#from bokeh.plotting import figure, show#, output_file\n",
    "\n",
    "factors = [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\", \"g\", \"h\"]\n",
    "x =  [50, 40, 65, 10, 25, 37, 80, 60]\n",
    "\n",
    "dot = figure(title=\"Categorical Dot Plot\", tools=\"\", toolbar_location=None,\n",
    "            y_range=factors, x_range=[0,100])\n",
    "\n",
    "dot.segment(0, factors, x, factors, line_width=2, line_color=\"green\", )\n",
    "dot.circle(x, factors, size=15, fill_color=\"orange\", line_color=\"green\", line_width=3, )\n",
    "\n",
    "factors = [\"foo 123\", \"bar:0.2\", \"baz-10\"]\n",
    "x = [\"foo 123\", \"foo 123\", \"foo 123\", \"bar:0.2\", \"bar:0.2\", \"bar:0.2\", \"baz-10\",  \"baz-10\",  \"baz-10\"]\n",
    "y = [\"foo 123\", \"bar:0.2\", \"baz-10\",  \"foo 123\", \"bar:0.2\", \"baz-10\",  \"foo 123\", \"bar:0.2\", \"baz-10\"]\n",
    "colors = [\n",
    "    \"#0B486B\", \"#79BD9A\", \"#CFF09E\",\n",
    "    \"#79BD9A\", \"#0B486B\", \"#79BD9A\",\n",
    "    \"#CFF09E\", \"#79BD9A\", \"#0B486B\"\n",
    "]\n",
    "\n",
    "hm = figure(title=\"Categorical Heatmap\", tools=\"hover\", toolbar_location=None,\n",
    "            x_range=factors, y_range=factors)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bokeh.plotting as bp\n",
    "def make_plot(mapper, title):\n",
    "    mapper.low_color = 'blue' # cor abaixo de low no range do LinearColorMapper\n",
    "    mapper.high_color = 'red' # \n",
    "    p = figure(toolbar_location=None, tools='', title=title)\n",
    "    color_bar = ColorBar(color_mapper=mapper, location=(0, 0))\n",
    "    p.circle(\n",
    "        x='x', y='y',\n",
    "        fill_color={'field': 'x', 'transform': mapper}, line_color=None,\n",
    "        source=source\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bokeh.palettes as bp\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "\n",
    "cmap_all = bp.__palettes__\n",
    "#def rgb2hex(m):\n",
    "#    return'#%02x%02x%02x' % (m)\n",
    "\n",
    "from matplotlib.colors import rgb2hex\n",
    "colormap =cm.get_cmap(\"nipy_spectral\") #choose any matplotlib colormap here\n",
    "bokehpalette = [rgb2hex(m) for m in colormap(np.arange(colormap.N))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060\"></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",
       "        document.getElementById(\"2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060\").textContent = \"BokehJS successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\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(\"2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060' 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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\",\"dtype\":\"float64\",\"shape\":[1000]},\"y\":{\"__ndarray__\":\"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       "            var render_items = [{\"docid\":\"433fc7d6-b8c2-43fd-8940-482685a3889c\",\"elementid\":\"2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060\",\"modelid\":\"df76bb9b-1b06-40c0-97b8-1581a85f421f\"}];\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",
       "      },\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(\"2a4fddcb-fcdd-4d97-8ed0-1311c4c3f060\")).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": [
    "import numpy as np\n",
    "from bokeh.io import show\n",
    "from bokeh.layouts import gridplot\n",
    "from bokeh.models import (\n",
    "    ColumnDataSource,\n",
    "    ColorBar,\n",
    "    LinearColorMapper,\n",
    "    LogColorMapper,\n",
    ")\n",
    "from bokeh.palettes import Viridis3, Viridis256\n",
    "from bokeh.palettes import Category10_10,Accent8,BuPu5,Colorblind3\n",
    "from bokeh.plotting import figure\n",
    "N = 1000\n",
    "x = np.random.random(N) * 140 - 20\n",
    "y = np.random.normal(size=N) * 2 + 5\n",
    "\n",
    "source = ColumnDataSource(dict(x=x, y=y))\n",
    "opts = dict(x='x', line_color=None, source=source)\n",
    "\n",
    "cmap_list = [Category10_10,Accent8,BuPu5,Colorblind3]\n",
    "def make_plot(mapper, title):\n",
    "    mapper.low_color = 'blue' # cor abaixo de low no range do LinearColorMapper\n",
    "    mapper.high_color = 'red' # \n",
    "    p = figure(toolbar_location=None, tools='', title=title)\n",
    "    color_bar = ColorBar(color_mapper=mapper, location=(0, 0))\n",
    "    p.circle(\n",
    "        x='x', y='y',\n",
    "        fill_color={'field': 'x', 'transform': mapper}, line_color=None,\n",
    "        source=source\n",
    "    )\n",
    "\n",
    "    p.add_layout(color_bar, 'right')\n",
    "    return p\n",
    "\n",
    "p1 = make_plot(LinearColorMapper(palette=Viridis256, low=0, high=100), title='Viridis256 - Linear, low/high = blue/red')\n",
    "p2 = make_plot(LogColorMapper(palette=Viridis256, low=0, high=100), title='Viridis256 - Log, low/high = blue/red')\n",
    "p3 = make_plot(LinearColorMapper(palette=Viridis3, low=0, high=100), title='Viridis3 - Linear, low/high = blue/red')\n",
    "p4 = make_plot(LogColorMapper(palette=bokehpalette, low=0, high=100), title='Viridis3 - Log, low/high =, blue/red')\n",
    "\n",
    "show(gridplot([p1, p2, p3, p4], ncols=2, plot_width=400, plot_height=300, toolbar_location=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "range(98, 104)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"f047ccda-8f19-4289-baad-9282507207cb\"></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",
       "        document.getElementById(\"f047ccda-8f19-4289-baad-9282507207cb\").textContent = \"BokehJS successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\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(\"f047ccda-8f19-4289-baad-9282507207cb\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'f047ccda-8f19-4289-baad-9282507207cb' 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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\",\"dtype\":\"float64\",\"shape\":[800]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[800]}}},\"id\":\"2c26bd0a-7f1c-47a1-bc53-ceaea7a0c973\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"0097619f-5c6e-4a5e-8f87-56fb0dd027b6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"eed74814-5dca-46c7-a317-4fb2fc8370e6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"270ad6d9-cbce-4cea-b3e7-79b7d3ba6336\",\"type\":\"BasicTicker\"}},\"id\":\"74203c3d-efe2-409d-93ac-c04f77e59905\",\"type\":\"LinearAxis\"},{\"attributes\":{\"color_mapper\":{\"id\":\"3578f8d1-bfc7-4a3e-85c7-b248ab0615bd\",\"type\":\"LinearColorMapper\"},\"formatter\":{\"id\":\"76593e5c-afdd-4b45-b3bf-65adbef4760e\",\"type\":\"BasicTickFormatter\"},\"location\":[0,0],\"plot\":{\"id\":\"62b0738b-9002-40af-9f4a-15d773032491\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bcb219fe-9085-4f7d-b063-910ddfbf9c3c\",\"type\":\"BasicTicker\"}},\"id\":\"37321e08-8fec-46da-bafc-c544f040ad6a\",\"type\":\"ColorBar\"},{\"attributes\":{},\"id\":\"270d4649-fdf4-444a-8a55-8a9086fe5052\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"04231a18-6107-4d8e-8c99-4d10d9979221\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"6b6c3409-b17c-43f7-a455-83d73822a694\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"0dc97db9-4962-409f-8c65-44df35616e93\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"13fa6c70-bd86-46e9-b53b-817dbc04bc23\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c4911b5c-bacc-49d9-9ead-83fb813ad8f8\",\"type\":\"Circle\"}],\"root_ids\":[\"3d326e8f-8e92-4cb0-809f-b8addaab28e1\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.4\"}};\n",
       "            var render_items = [{\"docid\":\"bdcef099-39ab-40b0-a320-bbce63cdf0db\",\"elementid\":\"f047ccda-8f19-4289-baad-9282507207cb\",\"modelid\":\"3d326e8f-8e92-4cb0-809f-b8addaab28e1\"}];\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",
       "      },\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(\"f047ccda-8f19-4289-baad-9282507207cb\")).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": [
    "import numpy as np\n",
    "\n",
    "from bokeh.io import show\n",
    "from bokeh.layouts import gridplot\n",
    "from bokeh.models import (\n",
    "    ColumnDataSource,\n",
    "    ColorBar,\n",
    "    LinearColorMapper,\n",
    "    LogColorMapper,\n",
    ")\n",
    "\n",
    "from bokeh.palettes import *\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "x = np.random.random(800) * 140 - 20\n",
    "y = np.random.normal(size=800) * 2 + 5\n",
    "\n",
    "\n",
    "source = ColumnDataSource(dict(x=x, y=y))\n",
    "opts = dict(x='x', line_color=None, source=source)\n",
    "\n",
    "p=[]\n",
    "lista  = range(98,104 )\n",
    "#lista.append(range(120,250,20))\n",
    "print (lista)\n",
    "for i in range(98,108 ):\n",
    "    p0 = make_plot(LinearColorMapper(palette=cmap_all[i], low=-20, high=120), title=cmap_all[i])\n",
    "    p.append(p0)\n",
    "    \n",
    "show(gridplot(p, ncols=2, plot_width=400, plot_height=300, toolbar_location=None))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Colorblind3',\n",
       " 'Colorblind4',\n",
       " 'Colorblind5',\n",
       " 'Colorblind6',\n",
       " 'Colorblind7',\n",
       " 'Colorblind8',\n",
       " 'Dark2_3',\n",
       " 'Dark2_4',\n",
       " 'Dark2_5',\n",
       " 'Dark2_6',\n",
       " 'Dark2_7',\n",
       " 'Dark2_8',\n",
       " 'GnBu3',\n",
       " 'GnBu4',\n",
       " 'GnBu5',\n",
       " 'GnBu6',\n",
       " 'GnBu7',\n",
       " 'GnBu8',\n",
       " 'GnBu9',\n",
       " 'Greens3',\n",
       " 'Greens4',\n",
       " 'Greens5']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmap_all[98:120]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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",
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