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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Clustering Clickbait Dataset using Sparse Matrices\n", | |
| "#### Aashish K. Tiwari [Persistent Systems Ltd]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "slideshow": { | |
| "slide_type": "slide" | |
| } | |
| }, | |
| "source": [ | |
| "#### Loading the Clickbait cluster dataset." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "collapsed": false, | |
| "slideshow": { | |
| "slide_type": "-" | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import pandas as pd \n", | |
| "df = pd.concat([\n", | |
| " pd.read_csv('CNN_fb.tsv', sep='\\t', header=0), \n", | |
| " pd.read_csv('NYTimes_fb.tsv', sep='\\t', header=0),\n", | |
| " pd.read_csv('Upworthy_fb.tsv', sep='\\t', header=0),\n", | |
| " pd.read_csv('BuzzFeed_fb.tsv', sep='\\t', header=0)\n", | |
| " ])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "<class 'pandas.core.frame.DataFrame'>\n", | |
| "Int64Index: 116786 entries, 0 to 26550\n", | |
| "Data columns (total 5 columns):\n", | |
| "page_id 116786 non-null object\n", | |
| "status_id 116786 non-null object\n", | |
| "link_name 112423 non-null object\n", | |
| "status_published 116786 non-null object\n", | |
| "num_reactions 116786 non-null int64\n", | |
| "dtypes: int64(1), object(4)\n", | |
| "memory usage: 5.3+ MB\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "df.info()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "#### Column Link Name has some NaN or Missing values, we clean up dataset to remove rows with missing data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "<class 'pandas.core.frame.DataFrame'>\n", | |
| "Int64Index: 112423 entries, 0 to 26550\n", | |
| "Data columns (total 5 columns):\n", | |
| "page_id 112423 non-null object\n", | |
| "status_id 112423 non-null object\n", | |
| "link_name 112423 non-null object\n", | |
| "status_published 112423 non-null object\n", | |
| "num_reactions 112423 non-null int64\n", | |
| "dtypes: int64(1), object(4)\n", | |
| "memory usage: 5.1+ MB\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "df = df.dropna()\n", | |
| "df.info()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "#### Writing cleansed dataset to tsv file." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "df.to_csv(\"fb_post_training.tsv\", sep='\\t', index = False, header=False)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import re\n", | |
| "def tokenize_post(fb_post):\n", | |
| " fb_post = re.sub('\\@[^\\W]+', '', fb_post.lower())\n", | |
| " tokens = re.split('\\W+', fb_post)\n", | |
| " tokens = [x for x in tokens if len(x) !=0]\n", | |
| " return tokens" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "collapsed": false, | |
| "slideshow": { | |
| "slide_type": "-" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "(22799, 112430)\n", | |
| "Wall time: 2.2 s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "\n", | |
| "post_ids = []\n", | |
| "word_ids = []\n", | |
| "word_to_id = {}\n", | |
| "i=0\n", | |
| "with open(\"fb_post_training.tsv\", 'r') as f:\n", | |
| " for line in f:\n", | |
| " try:\n", | |
| " fb_post = line.rstrip().split(\"\\t\")[2]\n", | |
| " for w in tokenize_post(fb_post):\n", | |
| " if w not in word_to_id: \n", | |
| " word_to_id[w] = len(word_to_id)\n", | |
| " post_ids.append(i)\n", | |
| " word_ids.append(word_to_id[w])\n", | |
| " i+=1\n", | |
| " except:\n", | |
| " pass\n", | |
| " \n", | |
| " \n", | |
| "import numpy as np\n", | |
| "from scipy.sparse import csr_matrix \n", | |
| "\n", | |
| "adj = csr_matrix( \n", | |
| " ( np.ones((len(word_ids),)), (np.array(word_ids),np.array(post_ids)) ), \n", | |
| " shape=(len(word_to_id), i) )\n", | |
| "\n", | |
| "row_sums = adj.sum(axis=1).A1\n", | |
| "words = range(len(word_to_id))\n", | |
| "for w in word_to_id:\n", | |
| " words[word_to_id[w]] = w\n", | |
| "words = np.array(words)\n", | |
| "\n", | |
| "adj = adj[np.where(row_sums>1)]\n", | |
| "words = words[np.where(row_sums>1)]\n", | |
| "row_sums = adj.sum(axis=1).A1\n", | |
| "print adj.shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array(['joseph', 'schooling', 'beats', ..., 'captcha', 'meta', 'swine'], \n", | |
| " dtype='|S27')" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "words" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "slideshow": { | |
| "slide_type": "slide" | |
| } | |
| }, | |
| "source": [ | |
| "# We'll use `TruncatedSVD`\n", | |
| "\n", | |
| "* [TruncatedSVD](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html) from `scikit-learn`\n", | |
| "* SVD stands for Singular Vector Decomposition, Truncated because we only want part of the computation\n", | |
| "* Good mathy description of how it works in [Chapter 11](http://infolab.stanford.edu/~ullman/mmds/ch11.pdf) of online book [Mining of Massive Datasets](http://www.mmds.org/)\n", | |
| "* Right now let's focus on how to use it and exploring the output" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "(22799L, 120L)\n", | |
| "Wall time: 7.05 s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "\n", | |
| "from sklearn.decomposition import TruncatedSVD \n", | |
| "from sklearn.preprocessing import normalize \n", | |
| "\n", | |
| "\n", | |
| "# Check no of components here:\n", | |
| "svd = TruncatedSVD(n_components=120)\n", | |
| "embedded_coords_l1 = normalize(svd.fit_transform(adj), norm='l1')\n", | |
| "print embedded_coords_l1.shape\n", | |
| "\n", | |
| "\n", | |
| "from scipy.stats import rankdata\n", | |
| "embedded_ranks_l1 = np.array([rankdata(c) for c in embedded_coords_l1.T]).T" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.axes._subplots.AxesSubplot at 0x106ea390>" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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1qKqWntdfh759cztPz55d8pGSJElSl7ClBxg9GoYNM+xLkiSpelRV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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x10590d68>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "pd.DataFrame(np.cumsum(svd.explained_variance_ratio_)).plot(figsize=(13, 8))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "slideshow": { | |
| "slide_type": "slide" | |
| } | |
| }, | |
| "source": [ | |
| "# Visualizing these dimensions\n", | |
| "\n", | |
| "* [Bokeh](http://bokeh.pydata.org/) makes it easy to get hover-tooltips!" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "0.12.2\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import bokeh.plotting\n", | |
| "print bokeh.__version__" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "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=\"9edb9142-c6d9-47af-a28e-e123c0e64683\">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 = \"1\";\n", | |
| "\n", | |
| " if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n", | |
| " window._bokeh_onload_callbacks = [];\n", | |
| " window._bokeh_is_loading = undefined;\n", | |
| " }\n", | |
| "\n", | |
| "\n", | |
| " \n", | |
| " if (typeof (window._bokeh_timeout) === \"undefined\" || force !== \"\") {\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", | |
| " Bokeh.$(\"#9edb9142-c6d9-47af-a28e-e123c0e64683\").text(\"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", | |
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| " 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(\"9edb9142-c6d9-47af-a28e-e123c0e64683\");\n", | |
| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '9edb9142-c6d9-47af-a28e-e123c0e64683' but no matching script tag was found. \")\n", | |
| " return false;\n", | |
| " }\n", | |
| "\n", | |
| " var js_urls = ['https://cdn.pydata.org/bokeh/release/bokeh-0.12.2.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.2.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-compiler-0.12.2.min.js'];\n", | |
| "\n", | |
| " var inline_js = [\n", | |
| " function(Bokeh) {\n", | |
| " Bokeh.set_log_level(\"info\");\n", | |
| " },\n", | |
| " \n", | |
| " function(Bokeh) {\n", | |
| " \n", | |
| " Bokeh.$(\"#9edb9142-c6d9-47af-a28e-e123c0e64683\").text(\"BokehJS is loading...\");\n", | |
| " },\n", | |
| " function(Bokeh) {\n", | |
| " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.2.min.css\");\n", | |
| " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.2.min.css\");\n", | |
| " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.2.min.css\");\n", | |
| " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.2.min.css\");\n", | |
| " }\n", | |
| " ];\n", | |
| "\n", | |
| " function run_inline_js() {\n", | |
| " \n", | |
| " if ((window.Bokeh !== undefined) || (force === \"1\")) {\n", | |
| " for (var i = 0; i < inline_js.length; i++) {\n", | |
| " inline_js[i](window.Bokeh);\n", | |
| " }if (force === \"1\") {\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) {\n", | |
| " var cell = $(\"#9edb9142-c6d9-47af-a28e-e123c0e64683\").parents('.cell').data().cell;\n", | |
| " cell.output_area.append_execute_result(NB_LOAD_WARNING)\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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| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import bokeh.plotting as bp\n", | |
| "from bokeh.plotting import figure, output_file, show\n", | |
| "from bokeh.models import HoverTool \n", | |
| "bp.output_notebook()\n", | |
| "row_selector = np.where(row_sums>50)\n", | |
| "row_selector[0].shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| "\n", | |
| " <div class=\"bk-root\">\n", | |
| " <div class=\"plotdiv\" id=\"c7002afa-e554-44cd-987b-dbfe30e43893\"></div>\n", | |
| " </div>\n", | |
| "<script type=\"text/javascript\">\n", | |
| " \n", | |
| " (function(global) {\n", | |
| " function now() {\n", | |
| " return new Date();\n", | |
| " }\n", | |
| " \n", | |
| " var force = \"\";\n", | |
| " \n", | |
| " if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n", | |
| " window._bokeh_onload_callbacks = [];\n", | |
| " window._bokeh_is_loading = undefined;\n", | |
| " }\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " if (typeof (window._bokeh_timeout) === \"undefined\" || force !== \"\") {\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", | |
| " Bokeh.$(\"#c7002afa-e554-44cd-987b-dbfe30e43893\").text(\"BokehJS successfully loaded.\");\n", | |
| " } else if (Date.now() < window._bokeh_timeout) {\n", | |
| " setTimeout(display_loaded, 100)\n", | |
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| " \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", | |
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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", | |
| " 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", | |
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| " 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(\"c7002afa-e554-44cd-987b-dbfe30e43893\");\n", | |
| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c7002afa-e554-44cd-987b-dbfe30e43893' 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", | |
| " Bokeh.$(function() {\n", | |
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0\",\"formatter\":{\"id\":\"027e08a5-2f15-4d11-b36e-0b6ae94737ba\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"f0bafcf6-c578-4a65-b459-f2dc3ddda6c0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fa1b5704-c66b-483f-9a2c-640ce72059f0\",\"type\":\"BasicTicker\"}},\"id\":\"957d72be-770d-4670-af94-b98aed0be93f\",\"type\":\"LinearAxis\"},{\"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\":\"99076f3e-b946-47eb-abfd-1724d284e0a0\",\"type\":\"BoxAnnotation\"}],\"root_ids\":[\"f0bafcf6-c578-4a65-b459-f2dc3ddda6c0\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.2\"}};\n", | |
| " var render_items = [{\"docid\":\"67ecee19-cb3b-4079-8993-eb5136f2f1bc\",\"elementid\":\"c7002afa-e554-44cd-987b-dbfe30e43893\",\"modelid\":\"f0bafcf6-c578-4a65-b459-f2dc3ddda6c0\"}];\n", | |
| " \n", | |
| " Bokeh.embed.embed_items(docs_json, render_items);\n", | |
| " });\n", | |
| " },\n", | |
| " function(Bokeh) {\n", | |
| " }\n", | |
| " ];\n", | |
| " \n", | |
| " function run_inline_js() {\n", | |
| " \n", | |
| " if ((window.Bokeh !== undefined) || (force === \"1\")) {\n", | |
| " for (var i = 0; i < inline_js.length; i++) {\n", | |
| " inline_js[i](window.Bokeh);\n", | |
| " }if (force === \"1\") {\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) {\n", | |
| " var cell = $(\"#c7002afa-e554-44cd-987b-dbfe30e43893\").parents('.cell').data().cell;\n", | |
| " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", | |
| " }\n", | |
| " \n", | |
| " }\n", | |
| " \n", | |
| " if (window._bokeh_is_loading === 0) {\n", | |
| " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", | |
| " run_inline_js();\n", | |
| " } else {\n", | |
| " load_libs(js_urls, function() {\n", | |
| " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n", | |
| " run_inline_js();\n", | |
| " });\n", | |
| " }\n", | |
| " }(this));\n", | |
| "</script>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "hover = HoverTool(\n", | |
| " tooltips=[\n", | |
| " (\"index\", \"$index\"),\n", | |
| " (\"(x,y)\", \"($x, $y)\"),\n", | |
| " (\"Topic\", \"@word\"),\n", | |
| " ]\n", | |
| " )\n", | |
| "\n", | |
| "plt = bp.figure(plot_width=900, plot_height=700, title=\"Posts by Most Informative Dimensions\",\n", | |
| " x_axis_label = \"Dimension 0\",\n", | |
| " y_axis_label = \"Dimension 1\",\n", | |
| " tools=[hover, \"pan,wheel_zoom,box_zoom,reset,previewsave\"],\n", | |
| " min_border=1)\n", | |
| "\n", | |
| "plt.scatter(\n", | |
| " x = embedded_coords_l1[:,0][row_selector],\n", | |
| " y = embedded_coords_l1[:,1][row_selector],\n", | |
| " radius= np.log2(row_sums[row_selector])/6000, \n", | |
| " source=bp.ColumnDataSource({\"word\": words[row_selector]})\n", | |
| ")\n", | |
| "\n", | |
| "show(plt)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "slideshow": { | |
| "slide_type": "slide" | |
| } | |
| }, | |
| "source": [ | |
| "# We'll use `KMeans`\n", | |
| "\n", | |
| "* [KMeans](http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html) from `scikit-learn`\n", | |
| "* Take K points and try to distribute them in the space so that they sit in the middle of clusters, i.e. close to the mean" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Wall time: 39.4 s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "\n", | |
| "from sklearn.cluster import KMeans\n", | |
| "n_clusters = 20\n", | |
| "km = KMeans(n_clusters)\n", | |
| "clusters = km.fit_predict(embedded_ranks_l1)\n", | |
| "\n", | |
| "row_selector = np.where(row_sums>50)\n", | |
| "row_selector[0].shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "slideshow": { | |
| "slide_type": "slide" | |
| } | |
| }, | |
| "source": [ | |
| "# Visualization in Technicolour\n", | |
| "\n", | |
| "* This time we'll colour-code each dot by cluster" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| "\n", | |
| " <div class=\"bk-root\">\n", | |
| " <div class=\"plotdiv\" id=\"075f5a65-c9d2-4cd9-82fd-cf10565d161f\"></div>\n", | |
| " </div>\n", | |
| "<script type=\"text/javascript\">\n", | |
| " \n", | |
| " (function(global) {\n", | |
| " function now() {\n", | |
| " return new Date();\n", | |
| " }\n", | |
| " \n", | |
| " var force = \"\";\n", | |
| " \n", | |
| " if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n", | |
| " window._bokeh_onload_callbacks = [];\n", | |
| " window._bokeh_is_loading = undefined;\n", | |
| " }\n", | |
| " \n", | |
| " \n", | |
| " \n", | |
| " if (typeof (window._bokeh_timeout) === \"undefined\" || force !== \"\") {\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", | |
| " Bokeh.$(\"#075f5a65-c9d2-4cd9-82fd-cf10565d161f\").text(\"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(\"075f5a65-c9d2-4cd9-82fd-cf10565d161f\");\n", | |
| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '075f5a65-c9d2-4cd9-82fd-cf10565d161f' 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", | |
| " Bokeh.$(function() {\n", | |
| " var docs_json = {\"01955ad1-7611-43bf-8fc1-2295055ca069\":{\"roots\":{\"references\":[{\"attributes\":{\"fill_color\":{\"field\":\"fill_color\"},\"line_color\":{\"field\":\"line_color\"},\"radius\":{\"field\":\"radius\",\"units\":\"data\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"23459dd1-d04b-486f-8c48-4cec8610ce9e\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"e78b38f7-de3b-4b72-b52f-1506d80f2a24\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"739d43ae-4ba6-4008-ae29-dbb907377507\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"6fe81ab5-d632-4ce6-a3b8-9324b134042a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"fe6374d0-766c-4cf7-b62e-4bf4cb6f3f58\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"7f313268-f117-42e3-9171-206350475db6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"Interesting Dimensions\"},\"id\":\"2abd1c54-7c66-442f-b1e7-67b50c5f0ba9\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"plot\":{\"id\":\"e78b38f7-de3b-4b72-b52f-1506d80f2a24\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"tooltips\":[[\"index\",\"$index\"],[\"(x,y)\",\"($x, 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| " var render_items = [{\"docid\":\"01955ad1-7611-43bf-8fc1-2295055ca069\",\"elementid\":\"075f5a65-c9d2-4cd9-82fd-cf10565d161f\",\"modelid\":\"e78b38f7-de3b-4b72-b52f-1506d80f2a24\"}];\n", | |
| " \n", | |
| " Bokeh.embed.embed_items(docs_json, render_items);\n", | |
| " });\n", | |
| " },\n", | |
| " function(Bokeh) {\n", | |
| " }\n", | |
| " ];\n", | |
| " \n", | |
| " function run_inline_js() {\n", | |
| " \n", | |
| " if ((window.Bokeh !== undefined) || (force === \"1\")) {\n", | |
| " for (var i = 0; i < inline_js.length; i++) {\n", | |
| " inline_js[i](window.Bokeh);\n", | |
| " }if (force === \"1\") {\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) {\n", | |
| " var cell = $(\"#075f5a65-c9d2-4cd9-82fd-cf10565d161f\").parents('.cell').data().cell;\n", | |
| " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", | |
| " }\n", | |
| " \n", | |
| " }\n", | |
| " \n", | |
| " if (window._bokeh_is_loading === 0) {\n", | |
| " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", | |
| " run_inline_js();\n", | |
| " } else {\n", | |
| " load_libs(js_urls, function() {\n", | |
| " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n", | |
| " run_inline_js();\n", | |
| " });\n", | |
| " }\n", | |
| " }(this));\n", | |
| "</script>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "hover = HoverTool(\n", | |
| " tooltips=[\n", | |
| " (\"index\", \"$index\"),\n", | |
| " (\"(x,y)\", \"($x, $y)\"),\n", | |
| " (\"Topic\", \"@word\"),\n", | |
| " ]\n", | |
| " )\n", | |
| "\n", | |
| "colormap = np.array([\n", | |
| " \"#1f77b4\", \"#aec7e8\", \"#ff7f0e\", \"#ffbb78\", \"#2ca02c\", \n", | |
| " \"#98df8a\", \"#d62728\", \"#ff9896\", \"#9467bd\", \"#c5b0d5\", \n", | |
| " \"#8c564b\", \"#c49c94\", \"#e377c2\", \"#f7b6d2\", \"#7f7f7f\", \n", | |
| " \"#c7c7c7\", \"#bcbd22\", \"#dbdb8d\", \"#17becf\", \"#9edae5\"\n", | |
| "])\n", | |
| "\n", | |
| "plt2 = bp.figure(plot_width=900, plot_height=700, title=\"Interesting Dimensions\",\n", | |
| " x_axis_label = \"Dimension 44\",\n", | |
| " y_axis_label = \"Dimension 51\",\n", | |
| " tools=[hover,\"pan,wheel_zoom,box_zoom,reset,previewsave\"],\n", | |
| " min_border=1)\n", | |
| "\n", | |
| "plt2.scatter(\n", | |
| " x = embedded_coords_l1[:,44][row_selector],\n", | |
| " y = embedded_coords_l1[:,51][row_selector],\n", | |
| " color= colormap[clusters[row_selector]], \n", | |
| " radius= np.log2(row_sums[row_selector])/6000, \n", | |
| " source=bp.ColumnDataSource({\"word\": words[row_selector]})\n", | |
| ")\n", | |
| "show(plt2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Wall time: 1min 17s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "from sklearn.manifold import TSNE\n", | |
| "xycoords = TSNE().fit_transform(embedded_coords_l1[row_selector])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "\n", | |
| "\n", | |
| " <div class=\"bk-root\">\n", | |
| " <div class=\"plotdiv\" id=\"ef078364-57ba-407d-96b3-324a0a1b86d8\"></div>\n", | |
| " </div>\n", | |
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| " \n", | |
| " (function(global) {\n", | |
| " function now() {\n", | |
| " return new Date();\n", | |
| " }\n", | |
| " \n", | |
| " var force = \"\";\n", | |
| " \n", | |
| " if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n", | |
| " window._bokeh_onload_callbacks = [];\n", | |
| " window._bokeh_is_loading = undefined;\n", | |
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| " \n", | |
| " \n", | |
| " if (typeof (window._bokeh_timeout) === \"undefined\" || force !== \"\") {\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", | |
| " Bokeh.$(\"#ef078364-57ba-407d-96b3-324a0a1b86d8\").text(\"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(\"ef078364-57ba-407d-96b3-324a0a1b86d8\");\n", | |
| " if (element == null) {\n", | |
| " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'ef078364-57ba-407d-96b3-324a0a1b86d8' 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", | |
| " Bokeh.$(function() {\n", | |
| " var docs_json = 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$y)\"],[\"Topic\",\"@word\"]]},\"id\":\"9b644a8e-1de3-4196-9a3c-88596e7563f7\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"25896c3f-b20b-461d-8e6f-ac67870c7f55\",\"type\":\"ToolEvents\"}],\"root_ids\":[\"bd2b8009-87ed-4560-9ba8-805ad1535f92\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.2\"}};\n", | |
| " var render_items = [{\"docid\":\"82d33fad-22ea-461f-b369-5a0abb729434\",\"elementid\":\"ef078364-57ba-407d-96b3-324a0a1b86d8\",\"modelid\":\"bd2b8009-87ed-4560-9ba8-805ad1535f92\"}];\n", | |
| " \n", | |
| " Bokeh.embed.embed_items(docs_json, render_items);\n", | |
| " });\n", | |
| " },\n", | |
| " function(Bokeh) {\n", | |
| " }\n", | |
| " ];\n", | |
| " \n", | |
| " function run_inline_js() {\n", | |
| " \n", | |
| " if ((window.Bokeh !== undefined) || (force === \"1\")) {\n", | |
| " for (var i = 0; i < inline_js.length; i++) {\n", | |
| " inline_js[i](window.Bokeh);\n", | |
| " }if (force === \"1\") {\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) {\n", | |
| " var cell = $(\"#ef078364-57ba-407d-96b3-324a0a1b86d8\").parents('.cell').data().cell;\n", | |
| " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", | |
| " }\n", | |
| " \n", | |
| " }\n", | |
| " \n", | |
| " if (window._bokeh_is_loading === 0) {\n", | |
| " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", | |
| " run_inline_js();\n", | |
| " } else {\n", | |
| " load_libs(js_urls, function() {\n", | |
| " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n", | |
| " run_inline_js();\n", | |
| " });\n", | |
| " }\n", | |
| " }(this));\n", | |
| "</script>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "hover = HoverTool(\n", | |
| " tooltips=[\n", | |
| " (\"index\", \"$index\"),\n", | |
| " (\"(x,y)\", \"($x, $y)\"),\n", | |
| " (\"Topic\", \"@word\"),\n", | |
| " ]\n", | |
| " )\n", | |
| "\n", | |
| "plt3 = bp.figure(plot_width=900, plot_height=700, title=\"Word Map by t-SNE\",\n", | |
| " tools=[hover, \"pan,wheel_zoom,box_zoom,reset,previewsave\"],\n", | |
| " x_axis_type=None, y_axis_type=None, min_border=1)\n", | |
| "\n", | |
| "plt3.scatter(\n", | |
| " x = xycoords[:,0],\n", | |
| " y = xycoords[:,1],\n", | |
| " color= colormap[clusters[row_selector]], \n", | |
| " radius= np.log2(row_sums[row_selector])/60, \n", | |
| " source=bp.ColumnDataSource({\"word\": words[row_selector]})\n", | |
| ")\n", | |
| "show(plt3)\n" | |
| ] | |
| }, | |
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