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January 27, 2017 21:53
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| { | |
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| "\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=\"73f351c5-f0ce-423e-8e3d-693fb89fd1ed\">Loading BokehJS ...</span>\n", | |
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| " function now() {\n", | |
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| "\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", | |
| " document.getElementById(\"73f351c5-f0ce-423e-8e3d-693fb89fd1ed\").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", | |
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| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '73f351c5-f0ce-423e-8e3d-693fb89fd1ed' but no matching script tag was found. \")\n", | |
| " return false;\n", | |
| " }\n", | |
| "\n", | |
| " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.js\"];\n", | |
| "\n", | |
| " var inline_js = [\n", | |
| " function(Bokeh) {\n", | |
| " Bokeh.set_log_level(\"info\");\n", | |
| " },\n", | |
| " \n", | |
| " function(Bokeh) {\n", | |
| " \n", | |
| " document.getElementById(\"73f351c5-f0ce-423e-8e3d-693fb89fd1ed\").textContent = \"BokehJS is loading...\";\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", | |
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| " inline_js[i](window.Bokeh);\n", | |
| " }if (force === true) {\n", | |
| " display_loaded();\n", | |
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| " setTimeout(run_inline_js, 100);\n", | |
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| "\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));" | |
| ] | |
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| "metadata": {}, | |
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| "source": [ | |
| "import pandas as pd\n", | |
| "import numpy as np\n", | |
| "\n", | |
| "from bokeh.plotting import figure, show\n", | |
| "from bokeh.io import output_notebook, push_notebook\n", | |
| "from bokeh.layouts import layout\n", | |
| "from bokeh.models import ColumnDataSource, CustomJS, DataRange1d, LinearAxis, Range1d, DateFormatter\n", | |
| "from bokeh.models.widgets import DataTable, TableColumn\n", | |
| "\n", | |
| "from ipywidgets import interact\n", | |
| "\n", | |
| "output_notebook()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-01-27T21:44:38.836386", | |
| "start_time": "2017-01-27T21:44:38.776933" | |
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| "hidden": false | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "ix = pd.date_range('2016-01-01', '2017-01-01', freq='d', name='date')\n", | |
| "srs = pd.Series(np.random.randint(0, 300, size=len(ix)), index=ix, name='volume')\n", | |
| "srs2 = pd.Series(np.random.randint(0, 1000, size=len(ix)), index=ix, name='size')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-01-27T21:44:39.003060", | |
| "start_time": "2017-01-27T21:44:38.839259" | |
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| "width": 6 | |
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| } | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def get_data(freq='MS'):\n", | |
| " return pd.DataFrame(srs.groupby(pd.Grouper(freq=freq)).sum())\n", | |
| "\n", | |
| "def get_data2(freq='MS'):\n", | |
| " return pd.DataFrame(srs2.groupby(pd.Grouper(freq=freq)).sum())\n", | |
| "\n", | |
| "source = ColumnDataSource(data=ColumnDataSource.from_df(get_data()))\n", | |
| "source_s = ColumnDataSource(data=ColumnDataSource.from_df(get_data() * .1))\n", | |
| "\n", | |
| "source2 = ColumnDataSource(data=ColumnDataSource.from_df(get_data2()))\n", | |
| "\n", | |
| "def get_width():\n", | |
| " mindate = min(source.data['date'])\n", | |
| " maxdate = max(source.data['date'])\n", | |
| " return 0.8 * (maxdate-mindate).total_seconds() * 1000 / len(source.data['date'])\n", | |
| "\n", | |
| "f = figure(plot_width=550, plot_height=400, x_axis_type=\"datetime\", y_range=Range1d(0, max(source.data['volume']), bounds='auto'))\n", | |
| "f.x_range.bounds='auto'\n", | |
| "\n", | |
| "f.extra_y_ranges = {\n", | |
| " \"size\": Range1d(bounds='auto', start=0, end=max(source2.data['size'])),\n", | |
| "}\n", | |
| "\n", | |
| "f.add_layout(LinearAxis(y_range_name='size'), 'right')\n", | |
| "\n", | |
| "r = f.vbar(source=source, top='volume', x='date', width=get_width())\n", | |
| "r2 = f.vbar(source=source_s, top='volume', x='date', width=get_width(), color='green')\n", | |
| "\n", | |
| "f.line(source=source2, x='date', y='size', color='red', y_range_name='size')\n", | |
| "f.tools[2].dimensions = 'width'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-01-27T21:44:39.063805", | |
| "start_time": "2017-01-27T21:44:39.005360" | |
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| "hidden": false | |
| } | |
| } | |
| } | |
| }, | |
| "scrolled": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def get_data3(freq='MS'):\n", | |
| " return pd.DataFrame(srs2.groupby(pd.Grouper(freq=freq)).mean())\n", | |
| "\n", | |
| "source3 = ColumnDataSource(data=ColumnDataSource.from_df(get_data3()))\n", | |
| "\n", | |
| "columns = [\n", | |
| " TableColumn(field='date', formatter=DateFormatter(), title='date'),\n", | |
| " TableColumn(field='size', title='size')\n", | |
| "]\n", | |
| "\n", | |
| "t = DataTable(source=source3, columns=columns)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
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| "end_time": "2017-01-27T21:44:39.322862", | |
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| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| "\n", | |
| " <div class=\"bk-root\">\n", | |
| " <div class=\"bk-plotdiv\" id=\"d81ab5bb-4599-4283-bec6-3cfe0e833010\"></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", | |
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| " \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(\"d81ab5bb-4599-4283-bec6-3cfe0e833010\").textContent = \"BokehJS successfully loaded.\";\n", | |
| " } else if (Date.now() < window._bokeh_timeout) {\n", | |
| " setTimeout(display_loaded, 100)\n", | |
| " }\n", | |
| " }if ((window.Jupyter !== undefined) && Jupyter.notebook.kernel) {\n", | |
| " comm_manager = Jupyter.notebook.kernel.comm_manager\n", | |
| " comm_manager.register_target(\"4d73b9e0-1f5a-455e-82b2-c344e733195f\", function () {});\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(\"d81ab5bb-4599-4283-bec6-3cfe0e833010\");\n", | |
| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd81ab5bb-4599-4283-bec6-3cfe0e833010' 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", | |
| " Bokeh.embed.embed_items(docs_json, render_items);\n", | |
| " };\n", | |
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| " })();\n", | |
| " },\n", | |
| " function(Bokeh) {\n", | |
| " }\n", | |
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| " \n", | |
| " if ((window.Bokeh !== undefined) || (force === true)) {\n", | |
| " for (var i = 0; i < inline_js.length; i++) {\n", | |
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| " }if (force === true) {\n", | |
| " display_loaded();\n", | |
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| " setTimeout(run_inline_js, 100);\n", | |
| " } else if (!window._bokeh_failed_load) {\n", | |
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| " window._bokeh_failed_load = true;\n", | |
| " } else if (force !== true) {\n", | |
| " var cell = $(document.getElementById(\"d81ab5bb-4599-4283-bec6-3cfe0e833010\")).parents('.cell').data().cell;\n", | |
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| " 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": [ | |
| "all_handle = show(layout([[f], [t]]), notebook_handle=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2017-01-27T21:44:39.405397", | |
| "start_time": "2017-01-27T21:44:39.325434" | |
| }, | |
| "collapsed": false, | |
| "extensions": { | |
| "jupyter_dashboards": { | |
| "version": 1, | |
| "views": { | |
| "grid_default": { | |
| "col": 0, | |
| "height": 2, | |
| "hidden": false, | |
| "row": 0, | |
| "width": 12 | |
| }, | |
| "report_default": { | |
| "hidden": false | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def update_data(freq={'Quarter': 'QS', 'Month': 'MS', 'Week': 'W'}):\n", | |
| " source.data = ColumnDataSource.from_df(get_data(freq))\n", | |
| " source2.data = ColumnDataSource.from_df(get_data2(freq))\n", | |
| " source_s.data = ColumnDataSource.from_df(get_data(freq) * .1)\n", | |
| "\n", | |
| " r.glyph.width = get_width()\n", | |
| " r2.glyph.width = get_width()\n", | |
| "\n", | |
| " f.y_range.end = max(source.data['volume'])\n", | |
| " f.extra_y_ranges['size'].end = max(source2.data['size'])\n", | |
| "\n", | |
| " source3.data = ColumnDataSource.from_df(get_data3(freq))\n", | |
| " push_notebook(handle=all_handle)\n", | |
| " \n", | |
| "i = interact(update_data)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "extensions": { | |
| "jupyter_dashboards": { | |
| "activeView": "grid_default", | |
| "version": 1, | |
| "views": { | |
| "grid_default": { | |
| "cellMargin": 10, | |
| "defaultCellHeight": 20, | |
| "layoutStrategy": "packed", | |
| "maxColumns": 12, | |
| "name": "grid", | |
| "type": "grid" | |
| }, | |
| "report_default": { | |
| "name": "report", | |
| "type": "report" | |
| } | |
| } | |
| } | |
| }, | |
| "hide_input": false, | |
| "kernelspec": { | |
| "display_name": "Python 2", | |
| "language": "python", | |
| "name": "python2" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 2 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython2", | |
| "version": "2.7.5" | |
| }, | |
| "widgets": { | |
| "state": { | |
| "559617694675468e81d396f84a834955": { | |
| "views": [ | |
| { | |
| "cell_index": 5 | |
| } | |
| ] | |
| } | |
| }, | |
| "version": "1.2.0" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
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