read_wos_findnum_citations_and_coauthors.ipynb

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       "<style>.container { width:100% !important; }</style>"
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   "source": [
    "%matplotlib inline  \n",
    "import matplotlib.pyplot as plt   \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "from tqdm import tnrange, tqdm_notebook\n",
    "from time import sleep\n",
    "import scipy\n",
    "import operator\n",
    "import difflib\n",
    "from IPython.core.display import display,HTML\n",
    "try:\n",
    "    import cPickle as pickle     #it is faster than pickle!\n",
    "except:\n",
    "    import pickle\n",
    "    \n",
    "import unicodedata\n",
    "\n",
    "    \n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))  # to make the notebook use the entire width of the browser"
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "\n",
    "fields = ['author_id','uid','year','total_pubs']  # i only upload certain fields\n",
    "#fields = ['author_id','uid','seq','year','author_name','affiliation','total_pubs']\n",
    "\n",
    "\n",
    "#path_wos_win='C:\\\\Users\\\\julietta\\\\Work\\\\Dropbox_studies\\\\Data\\\\WoS_data\\\\Disambiguated_authors\\\\'\n",
    "path_wos_linux='/home/juliaponcela/at_NICO/Dropbox_collaboration_patterns/Data/WoS_data/Disambiguated_authors/'\n",
    "\n",
    "#%time df_disamb_wos_test=pd.read_csv(path_wos_linux+'only_USA_active_years_2000-2015_filtered_WoS_file.tsv', usecols=fields, sep=\"\\t\")#, nrows=100000)\n",
    "%time df_disamb_wos=pd.read_csv(path_wos_linux+'final.tsv', usecols=fields, sep=\"\\t\", nrows=1000)\n",
    "\n",
    "df_disamb_wos.rename(columns={'affiliation':'affiliations','author_name':'author_names'}, inplace=True) \n",
    "\n",
    "df_disamb_wos.head(3)"
   ]
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   "execution_count": null,
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