Created
September 3, 2014 06:45
-
-
Save quaquel/c4c8b212e105941cf925 to your computer and use it in GitHub Desktop.
picmet demo
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:5ba01b51b7b851e817165b10639c1e0136e96d36b910f6b39b2fd06da6026db9" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# PICMET DEMO\n", | |
| "\n", | |
| "This is a demo of using python for textmining purposes. This demo was made for the PICMET 2014 conference in Kanazawa, Japan.\n", | |
| "\n", | |
| "## Getting the data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import re\n", | |
| "\n", | |
| "def parse_records(file_name, fields):\n", | |
| " re_tag = re.compile('[A-Z0-9]{2}')\n", | |
| " record = {}\n", | |
| " with open(file_name) as fh:\n", | |
| " for i, line in enumerate(fh):\n", | |
| " if i < 2: # first two lines in the file can be ignored\n", | |
| " continue\n", | |
| " \n", | |
| " line = line.strip()\n", | |
| "\n", | |
| " if line:\n", | |
| " m = re.match(re_tag, line)\n", | |
| " if m:\n", | |
| " tag = m.group()\n", | |
| " if tag in fields:\n", | |
| " value = line[3:]\n", | |
| " record[tag] = value\n", | |
| " else:\n", | |
| " continue\n", | |
| " # new tag\n", | |
| " else:\n", | |
| " if tag in fields:\n", | |
| " value = line\n", | |
| " record[tag] = \" \".join((record[tag], value))\n", | |
| " else:\n", | |
| " continue\n", | |
| " else:\n", | |
| " # we are at an empty line, so we finished parsing a\n", | |
| " # single record\n", | |
| " if record:\n", | |
| " yield record\n", | |
| " record = {}\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 1 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "file_name = r'./data/articles/nano_row.txt'\n", | |
| "fields = [\"C1\", \"AB\", \"TI\", \"ID\", \"AU\", \"UT\", \"PY\"]\n", | |
| "records = parse_records(file_name, fields)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 2 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "We now have parsed our records, and can process information contained in the records" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import collections\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "counter = collections.Counter()\n", | |
| "for record in records:\n", | |
| " counter[record[\"PY\"]]+=1\n", | |
| "print(counter.items())\n", | |
| " \n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stdout", | |
| "text": [ | |
| "dict_items([('2014', 500)])\n" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 3 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Saving the data in an easier format\n", | |
| "\n", | |
| "We have parsed the records, but it might be usefull to store this result in a format that will be easier to use for postprocessing. Many alternative formats are possible and Python offers support for any well established format. Here we give an example of storing the records in JSON (JavaScript Object Notation)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import json\n", | |
| "\n", | |
| "file_name = r'./data/articles/nano_row.txt'\n", | |
| "fields = [\"C1\", \"AB\", \"TI\", \"ID\", \"AU\", \"UT\", \"PY\"]\n", | |
| "records = parse_records(file_name, fields)\n", | |
| "records = {record['UT']:record for record in records}\n", | |
| "\n", | |
| "with open('./data/JSON/picmet_json.txt', 'w') as fh:\n", | |
| " json.dump(records,fh)\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 4 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Process words in content fields\n", | |
| "\n", | |
| "Given our records, we can now proceed to process them. One type of analysis foccuses on the words used. To this end, we can use the content fields of the record (title, keywords, abstract). The aim is to count the frequency of word usage for each record.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import collections\n", | |
| "\n", | |
| "stopwords_set = set()\n", | |
| "with open(r'./data/Plain Text/stopwords.txt') as fh:\n", | |
| " for line in fh:\n", | |
| " line = line.strip()\n", | |
| " stopwords_set.add(line)\n", | |
| "\n", | |
| "\n", | |
| "def make_sentences(text):\n", | |
| " '''\n", | |
| " Takes a piece of texts and turns it into sentencens. \n", | |
| " Basically, any punctuation mark or number is a sentence \n", | |
| " seperator.\n", | |
| " \n", | |
| " '''\n", | |
| " \n", | |
| " p = re.compile(r'[^a-zA-Z\\s]') #matches anything except words and whitespace\n", | |
| " \n", | |
| " text = text.lower()\n", | |
| " text = text.rstrip('.')#remove trailing period\n", | |
| " sentences = text.split('-')\n", | |
| " text = \"\".join(sentences)\n", | |
| " sentences = re.split(p, text)\n", | |
| " sentences = [sentence for sentence in sentences if len(sentence) > 1]\n", | |
| " \n", | |
| " return sentences\n", | |
| "\n", | |
| "\n", | |
| "def count_words(record, field, stopwords=True):\n", | |
| " '''\n", | |
| " Count the word frequency for the specified field\n", | |
| " '''\n", | |
| " \n", | |
| " counter = collections.Counter()\n", | |
| " \n", | |
| " try:\n", | |
| " value = record[field]\n", | |
| " except KeyError:\n", | |
| " # the specified content field\n", | |
| " # does not exist for this record\n", | |
| " return counter\n", | |
| " \n", | |
| " sentences = make_sentences(value)\n", | |
| " n_stopwords = 0\n", | |
| "\n", | |
| " for sentence in sentences:\n", | |
| " words = sentence.split()\n", | |
| " words = [word for word in words if len(word)>1]\n", | |
| " \n", | |
| " if stopwords:\n", | |
| " # remove the stopwords for the\n", | |
| " # list of words\n", | |
| " \n", | |
| " non_stopwords = []\n", | |
| " for word in words:\n", | |
| " if word in stopwords_set:\n", | |
| " n_stopwords += 1\n", | |
| " else:\n", | |
| " non_stopwords.append(word)\n", | |
| " words = non_stopwords\n", | |
| " \n", | |
| " #count word\n", | |
| " for word in words:\n", | |
| " counter[word] += 1\n", | |
| " \n", | |
| " counter[\"n_stopwords\"] = n_stopwords\n", | |
| " \n", | |
| " return counter\n", | |
| "\n", | |
| "\n", | |
| "def process_content(record, stopwords=True):\n", | |
| " content_fields = [\"AB\", \"TI\", \"ID\"]\n", | |
| " \n", | |
| " counter = collections.Counter()\n", | |
| " for entry in content_fields:\n", | |
| " field_counter = count_words(record, entry, stopwords)\n", | |
| "\n", | |
| " for key, value in field_counter.items():\n", | |
| " counter[key] += value\n", | |
| "\n", | |
| " return dict(counter)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 5 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import json\n", | |
| "import pandas as pd\n", | |
| "\n", | |
| "# load the json data\n", | |
| "with open('./data/JSON/picmet_json.txt', 'r') as fh:\n", | |
| " records = json.load(fh)\n", | |
| "\n", | |
| "# count the content fields for each record\n", | |
| "counts = []\n", | |
| "ids = records.keys()\n", | |
| "for id in ids:\n", | |
| " counter = process_content(records[id])\n", | |
| " counts.append(counter)\n", | |
| "\n", | |
| "# turn the counts into a panda data frame\n", | |
| "counts = pd.DataFrame(counts, ids)\n", | |
| "counts.fillna(0, inplace=True)\n", | |
| "counts\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>aa</th>\n", | |
| " <th>aam</th>\n", | |
| " <th>aao</th>\n", | |
| " <th>aas</th>\n", | |
| " <th>ab</th>\n", | |
| " <th>abbreviated</th>\n", | |
| " <th>aberrant</th>\n", | |
| " <th>ability</th>\n", | |
| " <th>abinitio</th>\n", | |
| " <th>ablation</th>\n", | |
| " <th>abluminal</th>\n", | |
| " <th>abnormalities</th>\n", | |
| " <th>abrasion</th>\n", | |
| " <th>abrupt</th>\n", | |
| " <th>abs</th>\n", | |
| " <th>absence</th>\n", | |
| " <th>absent</th>\n", | |
| " <th>absolute</th>\n", | |
| " <th>absoprtiondominated</th>\n", | |
| " <th>absorb</th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328128300002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400118</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400069</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333881000011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100019</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000324014900002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300018</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333084200003</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333084200004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300012</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300010</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200022</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200020</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200021</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400130</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400131</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200024</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328128300001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000330317900013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333800300012</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000008</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 5</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000003</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331918200013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331918200011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333953800007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333513200013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333992300004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000334075600015</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900008</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333083400001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766300004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100023</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766500034</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333083400005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100027</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766500030</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100029</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000334042700009</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333938900006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000045</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000046</th>\n", | |
| " <td> 3</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000049</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000048</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000043</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333450100006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000047</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>500 rows \u00d7 8774 columns</p>\n", | |
| "</div>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 6, | |
| "text": [ | |
| " aa aam aao aas ab abbreviated aberrant ability \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400118 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400069 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 0 0 0 0 0 0 1 \n", | |
| "WOS:000333084200003 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333800300012 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 0 0 0 0 2 \n", | |
| "WOS:000334075600015 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900008 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100023 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333938900006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000046 3 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 0 0 0 \n", | |
| " ... ... ... ... ... ... ... ... \n", | |
| "\n", | |
| " abinitio ablation abluminal abnormalities abrasion \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 \n", | |
| "WOS:000332926400118 0 0 0 0 0 \n", | |
| "WOS:000332926400069 0 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 0 0 0 0 \n", | |
| "WOS:000333084200003 0 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 \n", | |
| "WOS:000333800300012 0 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 \n", | |
| "WOS:000328131000007 0 0 0 0 0 \n", | |
| "WOS:000328131000006 0 0 2 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 1 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 2 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 0 0 \n", | |
| "WOS:000334075600015 0 0 0 0 0 \n", | |
| "WOS:000332198900008 0 0 0 0 0 \n", | |
| "WOS:000332198900004 0 0 0 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 \n", | |
| "WOS:000333411100023 0 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 \n", | |
| "WOS:000333938900006 1 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 \n", | |
| "WOS:000333781000046 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 \n", | |
| " ... ... ... ... ... \n", | |
| "\n", | |
| " abrupt abs absence absent absolute \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 \n", | |
| "WOS:000332926400118 0 0 1 0 0 \n", | |
| "WOS:000332926400069 0 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 0 0 0 0 \n", | |
| "WOS:000333084200003 0 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 \n", | |
| "WOS:000333800300012 0 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 \n", | |
| "WOS:000328131000007 0 0 5 0 0 \n", | |
| "WOS:000328131000006 0 0 0 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 0 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 0 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 0 0 \n", | |
| "WOS:000334075600015 0 0 0 0 0 \n", | |
| "WOS:000332198900008 0 0 1 0 0 \n", | |
| "WOS:000332198900004 0 0 0 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 \n", | |
| "WOS:000333411100023 0 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 \n", | |
| "WOS:000333938900006 0 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 \n", | |
| "WOS:000333781000046 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 \n", | |
| " ... ... ... ... ... \n", | |
| "\n", | |
| " absoprtiondominated absorb \n", | |
| "WOS:000328128300002 0 0 ... \n", | |
| "WOS:000332926400118 0 0 ... \n", | |
| "WOS:000332926400069 0 0 ... \n", | |
| "WOS:000333881000011 1 0 ... \n", | |
| "WOS:000333724100019 0 0 ... \n", | |
| "WOS:000324014900002 0 0 ... \n", | |
| "WOS:000332387300018 0 0 ... \n", | |
| "WOS:000333084200003 0 0 ... \n", | |
| "WOS:000333084200004 0 0 ... \n", | |
| "WOS:000332387300012 0 0 ... \n", | |
| "WOS:000332387300011 0 0 ... \n", | |
| "WOS:000332387300010 0 0 ... \n", | |
| "WOS:000333493200022 0 0 ... \n", | |
| "WOS:000333493200020 0 0 ... \n", | |
| "WOS:000333493200021 0 0 ... \n", | |
| "WOS:000332926400130 0 0 ... \n", | |
| "WOS:000332926400131 0 0 ... \n", | |
| "WOS:000333493200024 0 0 ... \n", | |
| "WOS:000331784500004 0 0 ... \n", | |
| "WOS:000331784500005 0 0 ... \n", | |
| "WOS:000331784500007 0 0 ... \n", | |
| "WOS:000328128300001 0 0 ... \n", | |
| "WOS:000330317900013 0 0 ... \n", | |
| "WOS:000333800300012 0 0 ... \n", | |
| "WOS:000328131000008 0 0 ... \n", | |
| "WOS:000328131000007 0 0 ... \n", | |
| "WOS:000328131000006 0 0 ... \n", | |
| "WOS:000328131000005 0 0 ... \n", | |
| "WOS:000328131000004 0 0 ... \n", | |
| "WOS:000328131000003 0 0 ... \n", | |
| "WOS:000328131000002 0 0 ... \n", | |
| "WOS:000328131000001 0 0 ... \n", | |
| "WOS:000331918200013 0 0 ... \n", | |
| "WOS:000331918200011 0 0 ... \n", | |
| "WOS:000333953800007 0 0 ... \n", | |
| "WOS:000333513200013 0 0 ... \n", | |
| "WOS:000333724100006 0 0 ... \n", | |
| "WOS:000333992300004 0 0 ... \n", | |
| "WOS:000333724100002 0 0 ... \n", | |
| "WOS:000334075600015 0 0 ... \n", | |
| "WOS:000332198900008 0 0 ... \n", | |
| "WOS:000332198900004 0 0 ... \n", | |
| "WOS:000332198900006 0 0 ... \n", | |
| "WOS:000333083400001 0 0 ... \n", | |
| "WOS:000333766300004 0 0 ... \n", | |
| "WOS:000333411100023 0 0 ... \n", | |
| "WOS:000333766500034 0 0 ... \n", | |
| "WOS:000333083400005 0 0 ... \n", | |
| "WOS:000333411100027 0 0 ... \n", | |
| "WOS:000333766500030 0 0 ... \n", | |
| "WOS:000333411100029 0 0 ... \n", | |
| "WOS:000334042700009 0 0 ... \n", | |
| "WOS:000333938900006 0 0 ... \n", | |
| "WOS:000333781000045 0 0 ... \n", | |
| "WOS:000333781000046 0 0 ... \n", | |
| "WOS:000333780000049 0 0 ... \n", | |
| "WOS:000333780000048 0 0 ... \n", | |
| "WOS:000333781000043 0 0 ... \n", | |
| "WOS:000333450100006 0 0 ... \n", | |
| "WOS:000333780000047 0 0 ... \n", | |
| " ... ... \n", | |
| "\n", | |
| "[500 rows x 8774 columns]" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 6 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": true, | |
| "input": [ | |
| "counts.sum(axis=1)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 7, | |
| "text": [ | |
| "WOS:000328128300002 387\n", | |
| "WOS:000332926400118 187\n", | |
| "WOS:000332926400069 273\n", | |
| "WOS:000333881000011 107\n", | |
| "WOS:000333724100019 131\n", | |
| "WOS:000324014900002 112\n", | |
| "WOS:000332387300018 282\n", | |
| "WOS:000333084200003 188\n", | |
| "WOS:000333084200004 221\n", | |
| "WOS:000332387300012 186\n", | |
| "WOS:000332387300011 147\n", | |
| "WOS:000332387300010 158\n", | |
| "WOS:000333493200022 152\n", | |
| "WOS:000333493200020 158\n", | |
| "WOS:000333493200021 164\n", | |
| "...\n", | |
| "WOS:000333411100007 133\n", | |
| "WOS:000333411100006 213\n", | |
| "WOS:000333411100005 215\n", | |
| "WOS:000333780000022 73\n", | |
| "WOS:000333411100002 207\n", | |
| "WOS:000333411100009 129\n", | |
| "WOS:000332926400120 177\n", | |
| "WOS:000332926400088 162\n", | |
| "WOS:000332926400089 204\n", | |
| "WOS:000332926400084 184\n", | |
| "WOS:000333084200035 204\n", | |
| "WOS:000332926400087 163\n", | |
| "WOS:000332926400008 154\n", | |
| "WOS:000332926400082 120\n", | |
| "WOS:000333800300019 312\n", | |
| "Length: 500, dtype: float64" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 7 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "def plot_wordfreqs(counts):\n", | |
| " freqs = counts.sum(axis=0)\n", | |
| " freqs.sort(ascending=False)\n", | |
| " freqs.ix[::-1]\n", | |
| " freqs.plot()\n", | |
| "\n", | |
| " ax = plt.gca()\n", | |
| " ax.set_yscale('log')\n", | |
| " ax.set_ylabel('frequency')\n", | |
| " ax.set_xlabel('words')\n", | |
| " ax.set_xticklabels([])\n", | |
| " \n", | |
| " return plt.gcf()\n", | |
| "\n", | |
| "fig = plot_wordfreqs(counts)\n", | |
| "plt.show()" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAtEAAAHnCAYAAAB+AgEqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x5bb4e90>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 8 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "word_sums = counts.sum(axis=0)\n", | |
| "logical = word_sums>1\n", | |
| "counts = counts.ix[:,logical]\n", | |
| "counts" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>aa</th>\n", | |
| " <th>aam</th>\n", | |
| " <th>ab</th>\n", | |
| " <th>ability</th>\n", | |
| " <th>ablation</th>\n", | |
| " <th>abluminal</th>\n", | |
| " <th>abrasion</th>\n", | |
| " <th>abs</th>\n", | |
| " <th>absence</th>\n", | |
| " <th>absent</th>\n", | |
| " <th>absorb</th>\n", | |
| " <th>absorbance</th>\n", | |
| " <th>absorbent</th>\n", | |
| " <th>absorber</th>\n", | |
| " <th>absorption</th>\n", | |
| " <th>abundant</th>\n", | |
| " <th>ac</th>\n", | |
| " <th>accelerate</th>\n", | |
| " <th>accelerated</th>\n", | |
| " <th>accelerating</th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328128300002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400118</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400069</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333881000011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100019</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000324014900002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300018</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333084200003</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333084200004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300012</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332387300010</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200022</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200020</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200021</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400130</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332926400131</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333493200024</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331784500007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328128300001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000330317900013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333800300012</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000008</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 5</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000003</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000328131000001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331918200013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000331918200011</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333953800007</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333513200013</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333992300004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333724100002</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000334075600015</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900008</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 2</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000332198900006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333083400001</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766300004</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100023</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 1</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766500034</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333083400005</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100027</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333766500030</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333411100029</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000334042700009</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333938900006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000045</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000046</th>\n", | |
| " <td> 3</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000049</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000048</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333781000043</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333450100006</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>WOS:000333780000047</th>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td> 0</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th></th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>500 rows \u00d7 4965 columns</p>\n", | |
| "</div>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 9, | |
| "text": [ | |
| " aa aam ab ability ablation abluminal abrasion abs \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400118 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400069 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 0 0 1 0 0 0 0 \n", | |
| "WOS:000333084200003 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333800300012 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000006 0 0 0 0 0 2 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 0 0 0 2 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 2 0 0 0 0 \n", | |
| "WOS:000334075600015 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900008 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100023 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333938900006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000046 3 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 0 0 0 \n", | |
| " ... ... ... ... ... ... ... ... \n", | |
| "\n", | |
| " absence absent absorb absorbance absorbent absorber \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 0 \n", | |
| "WOS:000332926400118 1 0 0 0 0 0 \n", | |
| "WOS:000332926400069 0 0 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 0 0 0 0 0 \n", | |
| "WOS:000333084200003 0 0 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 1 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 0 \n", | |
| "WOS:000333800300012 0 0 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 0 \n", | |
| "WOS:000328131000007 5 0 0 0 0 0 \n", | |
| "WOS:000328131000006 0 0 0 0 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 0 0 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 0 0 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 0 0 0 \n", | |
| "WOS:000334075600015 0 0 0 0 0 0 \n", | |
| "WOS:000332198900008 1 0 0 0 0 0 \n", | |
| "WOS:000332198900004 0 0 0 0 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 0 \n", | |
| "WOS:000333411100023 0 0 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 0 \n", | |
| "WOS:000333938900006 0 0 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 0 \n", | |
| "WOS:000333781000046 0 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 0 \n", | |
| " ... ... ... ... ... ... \n", | |
| "\n", | |
| " absorption abundant ac accelerate accelerated \\\n", | |
| "WOS:000328128300002 0 0 0 0 0 \n", | |
| "WOS:000332926400118 0 0 0 0 0 \n", | |
| "WOS:000332926400069 1 0 0 0 0 \n", | |
| "WOS:000333881000011 0 0 0 0 0 \n", | |
| "WOS:000333724100019 0 0 0 0 0 \n", | |
| "WOS:000324014900002 0 0 0 0 0 \n", | |
| "WOS:000332387300018 0 1 0 0 0 \n", | |
| "WOS:000333084200003 1 0 0 0 0 \n", | |
| "WOS:000333084200004 0 0 0 0 0 \n", | |
| "WOS:000332387300012 0 0 0 0 0 \n", | |
| "WOS:000332387300011 0 0 0 0 0 \n", | |
| "WOS:000332387300010 0 0 0 0 0 \n", | |
| "WOS:000333493200022 0 0 0 0 0 \n", | |
| "WOS:000333493200020 0 0 0 0 0 \n", | |
| "WOS:000333493200021 0 0 0 0 0 \n", | |
| "WOS:000332926400130 0 0 0 0 0 \n", | |
| "WOS:000332926400131 0 0 0 0 0 \n", | |
| "WOS:000333493200024 0 0 0 0 0 \n", | |
| "WOS:000331784500004 0 0 0 0 0 \n", | |
| "WOS:000331784500005 0 0 0 0 0 \n", | |
| "WOS:000331784500007 0 0 0 0 0 \n", | |
| "WOS:000328128300001 0 0 0 0 0 \n", | |
| "WOS:000330317900013 0 0 0 0 0 \n", | |
| "WOS:000333800300012 1 0 0 0 0 \n", | |
| "WOS:000328131000008 0 0 0 0 0 \n", | |
| "WOS:000328131000007 0 0 0 0 0 \n", | |
| "WOS:000328131000006 0 0 0 0 0 \n", | |
| "WOS:000328131000005 0 0 0 0 0 \n", | |
| "WOS:000328131000004 0 0 0 0 0 \n", | |
| "WOS:000328131000003 0 0 0 0 0 \n", | |
| "WOS:000328131000002 0 0 0 0 0 \n", | |
| "WOS:000328131000001 0 0 0 0 0 \n", | |
| "WOS:000331918200013 0 0 0 0 0 \n", | |
| "WOS:000331918200011 0 0 0 0 0 \n", | |
| "WOS:000333953800007 0 0 0 0 0 \n", | |
| "WOS:000333513200013 0 0 0 0 0 \n", | |
| "WOS:000333724100006 0 0 0 0 0 \n", | |
| "WOS:000333992300004 0 0 0 0 0 \n", | |
| "WOS:000333724100002 0 0 0 0 0 \n", | |
| "WOS:000334075600015 0 0 0 0 0 \n", | |
| "WOS:000332198900008 0 0 0 0 0 \n", | |
| "WOS:000332198900004 2 0 1 0 0 \n", | |
| "WOS:000332198900006 0 0 0 0 0 \n", | |
| "WOS:000333083400001 0 0 0 0 0 \n", | |
| "WOS:000333766300004 0 0 0 0 0 \n", | |
| "WOS:000333411100023 1 0 0 0 0 \n", | |
| "WOS:000333766500034 0 0 0 0 0 \n", | |
| "WOS:000333083400005 0 0 0 0 0 \n", | |
| "WOS:000333411100027 0 0 0 0 0 \n", | |
| "WOS:000333766500030 0 0 0 0 0 \n", | |
| "WOS:000333411100029 0 0 0 0 0 \n", | |
| "WOS:000334042700009 0 0 0 0 0 \n", | |
| "WOS:000333938900006 0 0 0 0 0 \n", | |
| "WOS:000333781000045 0 0 0 0 0 \n", | |
| "WOS:000333781000046 0 0 0 0 0 \n", | |
| "WOS:000333780000049 0 0 0 0 0 \n", | |
| "WOS:000333780000048 0 0 0 0 0 \n", | |
| "WOS:000333781000043 0 0 0 0 0 \n", | |
| "WOS:000333450100006 0 0 0 0 0 \n", | |
| "WOS:000333780000047 0 0 0 0 0 \n", | |
| " ... ... ... ... ... \n", | |
| "\n", | |
| " accelerating \n", | |
| "WOS:000328128300002 0 ... \n", | |
| "WOS:000332926400118 0 ... \n", | |
| "WOS:000332926400069 0 ... \n", | |
| "WOS:000333881000011 0 ... \n", | |
| "WOS:000333724100019 0 ... \n", | |
| "WOS:000324014900002 0 ... \n", | |
| "WOS:000332387300018 0 ... \n", | |
| "WOS:000333084200003 0 ... \n", | |
| "WOS:000333084200004 0 ... \n", | |
| "WOS:000332387300012 0 ... \n", | |
| "WOS:000332387300011 0 ... \n", | |
| "WOS:000332387300010 0 ... \n", | |
| "WOS:000333493200022 0 ... \n", | |
| "WOS:000333493200020 0 ... \n", | |
| "WOS:000333493200021 0 ... \n", | |
| "WOS:000332926400130 0 ... \n", | |
| "WOS:000332926400131 0 ... \n", | |
| "WOS:000333493200024 0 ... \n", | |
| "WOS:000331784500004 0 ... \n", | |
| "WOS:000331784500005 0 ... \n", | |
| "WOS:000331784500007 0 ... \n", | |
| "WOS:000328128300001 0 ... \n", | |
| "WOS:000330317900013 0 ... \n", | |
| "WOS:000333800300012 0 ... \n", | |
| "WOS:000328131000008 0 ... \n", | |
| "WOS:000328131000007 0 ... \n", | |
| "WOS:000328131000006 0 ... \n", | |
| "WOS:000328131000005 0 ... \n", | |
| "WOS:000328131000004 0 ... \n", | |
| "WOS:000328131000003 0 ... \n", | |
| "WOS:000328131000002 0 ... \n", | |
| "WOS:000328131000001 0 ... \n", | |
| "WOS:000331918200013 0 ... \n", | |
| "WOS:000331918200011 0 ... \n", | |
| "WOS:000333953800007 0 ... \n", | |
| "WOS:000333513200013 0 ... \n", | |
| "WOS:000333724100006 0 ... \n", | |
| "WOS:000333992300004 0 ... \n", | |
| "WOS:000333724100002 0 ... \n", | |
| "WOS:000334075600015 0 ... \n", | |
| "WOS:000332198900008 0 ... \n", | |
| "WOS:000332198900004 0 ... \n", | |
| "WOS:000332198900006 0 ... \n", | |
| "WOS:000333083400001 0 ... \n", | |
| "WOS:000333766300004 0 ... \n", | |
| "WOS:000333411100023 0 ... \n", | |
| "WOS:000333766500034 0 ... \n", | |
| "WOS:000333083400005 0 ... \n", | |
| "WOS:000333411100027 0 ... \n", | |
| "WOS:000333766500030 0 ... \n", | |
| "WOS:000333411100029 0 ... \n", | |
| "WOS:000334042700009 0 ... \n", | |
| "WOS:000333938900006 0 ... \n", | |
| "WOS:000333781000045 0 ... \n", | |
| "WOS:000333781000046 0 ... \n", | |
| "WOS:000333780000049 0 ... \n", | |
| "WOS:000333780000048 0 ... \n", | |
| "WOS:000333781000043 0 ... \n", | |
| "WOS:000333450100006 0 ... \n", | |
| "WOS:000333780000047 0 ... \n", | |
| " ... \n", | |
| "\n", | |
| "[500 rows x 4965 columns]" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 9 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "plot_wordfreqs(counts)\n", | |
| "plt.show()" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAtEAAAHnCAYAAAB+AgEqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nyBINAAANskQDAECD/j9VgMYWVjAlPwAAAABJRU5ErkJggg==\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x508d4d0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 10 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### save data frame\n", | |
| "Now that we have our results indexed, we might want to save it as an intermediate result. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "fn = r'./data/pandas/wordcounts.csv'\n", | |
| "counts.to_csv(fn)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 11 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Further analysis of word count data\n", | |
| "\n", | |
| "Now that we have the frequency of word usage in the records, a wealth of techniques is available to us. This includes established techniques like singular value decomposition or principal components analysis. More sophisticated techniques include topic modeling, mixture of factor analysers, and TSNE." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import pandas as pd\n", | |
| "# let's load the data\n", | |
| "fn = r'./data/pandas/wordcounts.csv'\n", | |
| "counts = pd.read_csv(fn)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 12 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import numpy as np\n", | |
| "# we want to turn the dataframe into a numpy array\n", | |
| "counts = counts.values\n", | |
| "\n", | |
| "# we can drop off the first column which\n", | |
| "# contains the record ids\n", | |
| "counts = counts[:, 1::]\n", | |
| "\n", | |
| "# we need to cast the data to the right\n", | |
| "# dtype\n", | |
| "counts = counts.astype(int)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 13 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "from sklearn.decomposition import PCA\n", | |
| "\n", | |
| "pca = PCA(n_components=2)\n", | |
| "pca.fit(counts)\n", | |
| "\n", | |
| "pca_counts = pca.fit_transform(counts)\n", | |
| "\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 14 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "fig = plt.figure(frameon=False)\n", | |
| "ax = fig.add_subplot(111)\n", | |
| "ax.scatter(pca_counts[:,0], pca_counts[:,1], s=40)\n", | |
| "ax.grid()\n", | |
| "\n", | |
| "ax.spines['top'].set_color('white')\n", | |
| "ax.spines['right'].set_color('white')\n", | |
| "ax.yaxis.set_ticks_position('left')\n", | |
| "ax.xaxis.set_ticks_position('bottom')\n", | |
| "\n", | |
| "plt.show()\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAssAAAHfCAYAAACmp5XLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGQAA5jAsAwDAHIZlAACYw7AMAABz/H8lq9wuDIJHVgAAAABJRU5ErkJggg==\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x60a9bb0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 15 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "#Network analysis" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import networkx as nx\n", | |
| "import itertools\n", | |
| "\n", | |
| "\n", | |
| "def process_authors(record):\n", | |
| " authors = record[\"C1\"]\n", | |
| " authors = authors.split(\"[\")\n", | |
| " ta = []\n", | |
| " for entry in authors:\n", | |
| " if entry:\n", | |
| " elements = entry.split(\"]\")\n", | |
| " \n", | |
| " try:\n", | |
| " names, affiliation = elements\n", | |
| " except ValueError:\n", | |
| " names = record[\"AU\"]\n", | |
| " affiliation = elements[0]\n", | |
| " names = names.split(\";\")\n", | |
| " for name in names:\n", | |
| " name = name.strip()\n", | |
| " ta.append(\";\".join((name, affiliation)))\n", | |
| " record[\"C1\"] = ta\n", | |
| " return record\n", | |
| "\n", | |
| "def make_network(records):\n", | |
| " '''\n", | |
| " Make a graph with the authors as nodes\n", | |
| " and collaboration as edges.\n", | |
| " \n", | |
| " '''\n", | |
| " \n", | |
| " G = nx.Graph()\n", | |
| " \n", | |
| " for record in records.values():\n", | |
| " authors = record[\"C1\"]\n", | |
| "\n", | |
| " for author in authors:\n", | |
| " \n", | |
| " G.add_node(author)\n", | |
| " \n", | |
| " edges = itertools.combinations(authors, 2)\n", | |
| " for edge in edges:\n", | |
| " G.add_edge(edge[0], edge[1])\n", | |
| " return G" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 16 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import json\n", | |
| "\n", | |
| "# load the json data\n", | |
| "with open('./data/JSON/picmet_json.txt', 'r') as fh:\n", | |
| " records = json.load(fh)\n", | |
| " \n", | |
| "records = {key:process_authors(records[key]) for key in records.keys()}" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 17 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "G = make_network(records)\n", | |
| "G = nx.connected_component_subgraphs(G)[0]" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 18 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "pos = nx.spring_layout(G)\n", | |
| "nx.draw_networkx_nodes(G, pos)\n", | |
| "nx.draw_networkx_edges(G, pos)\n", | |
| "plt.show()" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAs0AAAHfCAYAAACrueWMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nREREJfh/ACmsILKGGCMAAAAASUVORK5CYII=\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x948a910>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 19 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 19 | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment