Skip to content

Instantly share code, notes, and snippets.

@leebrian
Forked from jakevdp/ADS_Language_Query.ipynb
Last active April 1, 2021 20:28
Show Gist options
  • Save leebrian/faa8df84689be45eb2ad8d10c39875d0 to your computer and use it in GitHub Desktop.
Save leebrian/faa8df84689be45eb2ad8d10c39875d0 to your computer and use it in GitHub Desktop.
data processing languages used in public health publications
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Public Health Programming Languages\n",
"\n",
"Based on a notebook by [Jake vanderplas](https://gist.github.com/jakevdp/f75c09e43320290ffbedbca43f9fd917); that was based on a notebook by [Juan Nunez-Iglesias](https://gist.github.com/jni/3339985a016572f178d3c2f18e27ec0d); which was adapted from code written by Thomas P. Robitaille and Chris Beaumont.\n",
"\n",
"Also based on post by [Marco Bonzanini](https://marcobonzanini.com/2015/01/12/searching-pubmed-with-python/) for the pubmed stuff.\n",
"\n",
"The following is released under the [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported](http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US) License.\n",
"\n",
"Main changes are making better use of Pandas to save results as a CSV, and using standard plotting tools."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import os\n",
"\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"from datetime import datetime, date\n",
"\n",
"from Bio import Entrez"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"languages = { \n",
" 'Python': ['Python'], \n",
" # 'Matlab': ['MATLAB'], \n",
" # 'Fortran': ['FORTRAN'], \n",
" # 'Java': ['Java'],\n",
" # 'C': ['C programming language', 'C language',\n",
" # 'C code', 'C library', 'C module'],\n",
" 'R': ['R programming language', 'R language',\n",
" 'R code', 'R library', 'R module',\n",
" 'R Foundation','R Core Team'],\n",
" 'SAS': ['SAS'],\n",
" 'SPSS': ['SPSS'],\n",
" 'JavaScript':['JavaScript']\n",
"}\n",
"\n",
"ph_chunk_file_names = [\n",
"'ph_results_js.csv',\n",
"'ph_results_py.csv',\n",
"'ph_results_r.csv',\n",
"'ph_results_sas.csv',\n",
"'ph_results_spss.csv'\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"plt.style.use('seaborn-whitegrid')\n",
"font = {'family' : 'normal',\n",
" 'weight' : 'bold',\n",
" 'size' : 14}\n",
"\n",
"mpl.rc('font', **font)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def query_counts(name,query,year='2018',mods='(((english[Language]) AND (CDC[Affiliation] OR Centers for Disease Control and Prevention[Affiliation]))) AND '):\n",
" Entrez.email = 'pubmed@prepend.com'\n",
" modifiers = ' '.join([mods + ' %s[PDAT]' % year])\n",
" full_query = ' '.join([query, modifiers])\n",
" handle = Entrez.esearch(db='pubmed', \n",
" retmax='100000',\n",
" retmode='xml', \n",
" term=full_query)\n",
" papers = Entrez.read(handle)\n",
" count = int(papers['Count'])\n",
" handle = Entrez.esearch(db='pubmed', \n",
" retmax='100000',\n",
" retmode='xml', \n",
" term=modifiers)\n",
" total_papers = Entrez.read(handle)\n",
" total_count = int(total_papers['Count'])\n",
" now = datetime.now().timetuple()\n",
" if year == now.tm_year:\n",
" days_in_year = date(year, 12, 31).timetuple().tm_yday\n",
" count *= days_in_year / now.tm_yday\n",
" total_count *= days_in_year / now.tm_yday\n",
" return dict(name=name, year=year, count=count, total_count=total_count)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def draw_plot(results, figure_title='', filename='languages.png'):\n",
" fig, ax = plt.subplots(figsize=(16, 10))\n",
"\n",
" ax.xaxis.set_ticks(np.arange(2000, 2022, 2))\n",
"\n",
" for name, group in results.groupby('name'):\n",
" group.plot.line(x='year', y='pct', ax=ax, label=name, linewidth=4)\n",
"\n",
" ax.set(xlabel='Year of Publication',\n",
" ylabel='Percent of Publications',\n",
" title=figure_title,\n",
" ylim=(0.001, 0.5))\n",
"\n",
" fig.savefig(filename)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>year</th>\n",
" <th>count</th>\n",
" <th>total_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Python</td>\n",
" <td>2000</td>\n",
" <td>0</td>\n",
" <td>933</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Python</td>\n",
" <td>2001</td>\n",
" <td>0</td>\n",
" <td>1048</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Python</td>\n",
" <td>2002</td>\n",
" <td>0</td>\n",
" <td>962</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Python</td>\n",
" <td>2003</td>\n",
" <td>0</td>\n",
" <td>1145</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Python</td>\n",
" <td>2004</td>\n",
" <td>0</td>\n",
" <td>1224</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name year count total_count\n",
"0 Python 2000 0 933\n",
"1 Python 2001 0 1048\n",
"2 Python 2002 0 962\n",
"3 Python 2003 0 1145\n",
"4 Python 2004 0 1224"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#cdc pubs\n",
"filename = 'cdc_results.csv'\n",
"\n",
"if not os.path.exists(filename):\n",
" results = pd.DataFrame([query_counts(name, query, year)\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2021)])\n",
" results.to_csv(filename, index=False)\n",
" \n",
"results = pd.read_csv(filename)\n",
"results.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>year</th>\n",
" <th>count</th>\n",
" <th>total_count</th>\n",
" <th>pct</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>JavaScript</td>\n",
" <td>2000</td>\n",
" <td>0</td>\n",
" <td>933</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>JavaScript</td>\n",
" <td>2001</td>\n",
" <td>0</td>\n",
" <td>1048</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>JavaScript</td>\n",
" <td>2002</td>\n",
" <td>0</td>\n",
" <td>962</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>JavaScript</td>\n",
" <td>2003</td>\n",
" <td>0</td>\n",
" <td>1145</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>JavaScript</td>\n",
" <td>2004</td>\n",
" <td>0</td>\n",
" <td>1224</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name year count total_count pct\n",
"0 JavaScript 2000 0 933 0.0\n",
"1 JavaScript 2001 0 1048 0.0\n",
"2 JavaScript 2002 0 962 0.0\n",
"3 JavaScript 2003 0 1145 0.0\n",
"4 JavaScript 2004 0 1224 0.0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results = results.groupby(['name', 'year']).sum().reset_index()\n",
"results['pct'] = 100 * results['count'] / results['total_count']\n",
"results.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>year</th>\n",
" <th>count</th>\n",
" <th>total_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Python</td>\n",
" <td>2000</td>\n",
" <td>19</td>\n",
" <td>477012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Python</td>\n",
" <td>2001</td>\n",
" <td>28</td>\n",
" <td>491223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Python</td>\n",
" <td>2002</td>\n",
" <td>37</td>\n",
" <td>507713</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Python</td>\n",
" <td>2003</td>\n",
" <td>32</td>\n",
" <td>534101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Python</td>\n",
" <td>2004</td>\n",
" <td>32</td>\n",
" <td>577408</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name year count total_count\n",
"0 Python 2000 19 477012\n",
"1 Python 2001 28 491223\n",
"2 Python 2002 37 507713\n",
"3 Python 2003 32 534101\n",
"4 Python 2004 32 577408"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#lets see for all pubs\n",
"filename = 'ph_results.csv'\n",
"\n",
"if not os.path.exists(filename):\n",
" ph_results = pd.DataFrame([query_counts(name, query, year,mods='english[Language]')\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2021)])\n",
" ph_results.to_csv(filename, index=False)\n",
" \n",
"ph_results = pd.read_csv(filename)\n",
"ph_results.head()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"ph_results = ph_results.groupby(['name', 'year']).sum().reset_index()\n",
"ph_results['pct'] = 100 * ph_results['count'] / ph_results['total_count']"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"draw_plot(results,'Data Analysis Language Trends in PubMed Publications with CDC Affiliated Authors','cdc_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"draw_plot(ph_results,'Data Analysis Language Trends in PubMed Publications','ph_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#throw away from here down"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Not sure how to do this without network access to docs. Here's the bash stuff I ran to combine the ph_*.csv files (except c)\n",
"cat ph*.csv|head -n 1 >> ph_results.csv\n",
"cat ph*_*.csv|grep -v count >> ph_results.csv\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x11948dac8>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ph_results[ph_results['name']=='JavaScript']['total_count'].plot()"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10dc460b8>"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"results[results['name']=='JavaScript']['total_count'].plot()"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(16, 10))\n",
"\n",
"ax.xaxis.set_ticks(np.arange(2000, 2020, 2))\n",
"\n",
"for name, group in results.groupby('name'):\n",
" #if name in ['R', 'C', 'Java']:\n",
" # continue\n",
" group.plot.line(x='year', y='pct', ax=ax, label=name, linewidth=4)\n",
"\n",
"ax.set(xlabel='Year of Publication',\n",
" ylabel='Percent of Publications',\n",
" title='PubMed Publications with CDC Affiliated Authors',\n",
" ylim=(0.001, 0.5))\n",
"\n",
"fig.savefig('cdc_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(16, 10))\n",
"\n",
"\n",
"ax.xaxis.set_ticks(np.arange(2000, 2020, 2))\n",
"\n",
"for name, group in ph_results.groupby('name'):\n",
" #if name in ['R', 'C', 'Java']:\n",
" # continue\n",
" group.plot.line(x='year', y='pct', ax=ax, label=name, linewidth=4)\n",
"\n",
"ax.set(xlabel='Year of Publication',\n",
" ylabel='Percent of Publications',\n",
" title='All PubMed Publications',\n",
" ylim=(0.001, 0.5))\n",
"\n",
"\n",
"fig.savefig('ph_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ph_results_js.csv\n",
"ph_results_py.csv\n",
"ph_results_r.csv\n",
"ph_results_sas.csv\n",
"ph_results_spss.csv\n"
]
}
],
"source": [
"results = ph.DataFrame\n",
"for filename in ph_chunk_file_names:\n",
" print(filename)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"ph_results = pd.DataFrame([pd.read_csv(filename)\n",
" for filename in ph_chunk_file_names])\n"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"foo2 is None\n"
]
}
],
"source": [
"foo2 = None\n",
"if foo2 is None:\n",
" print('foo2 is None')"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" count total_count year\n",
"count 19.000000 1.900000e+01 19.000000\n",
"mean 27.577222 8.566212e+05 2009.000000\n",
"std 27.087171 2.865410e+05 5.627314\n",
"min 2.000000 4.762740e+05 2000.000000\n",
"25% 10.500000 6.053790e+05 2004.500000\n",
"50% 15.000000 8.118510e+05 2009.000000\n",
"75% 41.500000 1.116462e+06 2013.500000\n",
"max 84.967213 1.310826e+06 2018.000000\n"
]
},
{
"ename": "AttributeError",
"evalue": "'DataFrame' object has no attribute 'cat'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-56-4b6199c8f40b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mph_results\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdescribe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mph_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mph_results\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mph_results\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdescribe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py37/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 4374\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4375\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4376\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4377\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4378\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'cat'"
]
}
],
"source": [
"ph_results = None\n",
"for filename in ph_chunk_file_names:\n",
" if ph_results is None:\n",
" ph_results = pd.read_csv(filename)\n",
" print(ph_results.describe())\n",
" else:\n",
" ph_results = ph_results.cat(pd.read_csv(filename))\n",
" print(ph_results.describe())\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>name</th>\n",
" <th>total_count</th>\n",
" <th>year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [count, name, total_count, year]\n",
"Index: []"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ph_results"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>name</th>\n",
" <th>total_count</th>\n",
" <th>year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3.0</td>\n",
" <td>C</td>\n",
" <td>476274.0</td>\n",
" <td>2000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.0</td>\n",
" <td>C</td>\n",
" <td>490580.0</td>\n",
" <td>2001</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>9.0</td>\n",
" <td>C</td>\n",
" <td>506972.0</td>\n",
" <td>2002</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12.0</td>\n",
" <td>C</td>\n",
" <td>533266.0</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>18.0</td>\n",
" <td>C</td>\n",
" <td>576467.0</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count name total_count year\n",
"0 3.0 C 476274.0 2000\n",
"1 4.0 C 490580.0 2001\n",
"2 9.0 C 506972.0 2002\n",
"3 12.0 C 533266.0 2003\n",
"4 18.0 C 576467.0 2004"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#scratch\n",
"languages = { \n",
" # 'Python': ['Python'], \n",
" # 'Matlab': ['MATLAB'], \n",
" # 'Fortran': ['FORTRAN'], \n",
" # 'Java': ['Java'],\n",
" 'C': ['C programming language', 'C language',\n",
" 'C code', 'C library', 'C module'],\n",
" # 'R': ['R programming language', 'R language',\n",
" # 'R code', 'R library', 'R module'],\n",
" # 'SAS': ['SAS'],\n",
" # 'SPSS': ['SPSS'],\n",
" # 'JavaScript':['JavaScript']\n",
"}\n",
"\n",
"filename = 'ph_results_c.csv'\n",
"\n",
"if not os.path.exists(filename):\n",
" ph_results = pd.DataFrame([query_counts(name, query, year,mods='english[Language]')\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2019)])\n",
" ph_results.to_csv(filename, index=False)\n",
" \n",
"ph_results = pd.read_csv(filename)\n",
"ph_results.head()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'ph_results' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-15-ada5f96b387e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mph_results\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'ph_results' is not defined"
]
}
],
"source": [
"ph_results"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'ph_results' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-15-ada5f96b387e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mph_results\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'ph_results' is not defined"
]
}
],
"source": [
"ph_results"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"ename": "RuntimeError",
"evalue": "Search Backend failed: Result not ready. Query key: 1, HistoryID: NCID_1_193446788_130.14.18.125_9001_1541055261_1408332029_0MetA0_S_MegaStore",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-12-3f6fa6fe2357>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0mrettype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'count'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m term=full_query)\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mrecord\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mEntrez\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0mrecord\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py37/lib/python3.7/site-packages/Bio/Entrez/__init__.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(handle, validate)\u001b[0m\n\u001b[1;32m 456\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mParser\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDataHandler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 457\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalidate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 458\u001b[0;31m \u001b[0mrecord\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhandler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 459\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mrecord\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py37/lib/python3.7/site-packages/Bio/Entrez/Parser.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, handle)\u001b[0m\n\u001b[1;32m 360\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_as_bytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 361\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 362\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mParseFile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 363\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mexpat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mExpatError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 364\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mStartElementHandler\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/opt/concourse/worker/volumes/live/dba664d8-4f1e-4cc7-6d38-8ec7e29d2eff/volume/python_1540319889073/work/Modules/pyexpat.c\u001b[0m in \u001b[0;36mEndElement\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py37/lib/python3.7/site-packages/Bio/Entrez/Parser.py\u001b[0m in \u001b[0;36mendElementHandler\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 498\u001b[0m \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 499\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsumer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconsumer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 500\u001b[0;31m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconsumer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 501\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsumer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 502\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecord\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py37/lib/python3.7/site-packages/Bio/Entrez/Parser.py\u001b[0m in \u001b[0;36mvalue\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mRuntimeError\u001b[0m: Search Backend failed: Result not ready. Query key: 1, HistoryID: NCID_1_193446788_130.14.18.125_9001_1541055261_1408332029_0MetA0_S_MegaStore"
]
}
],
"source": [
"year='2017'\n",
"query='SAS AND'\n",
"mods='(((english[Language]) AND (CDC[Affiliation] OR Centers for Disease Control and Prevention[Affiliation]))) AND '\n",
"Entrez.email = 'pubmed2@prepend.com'\n",
"modifiers = ' '.join([mods + ' %s[PDAT]' % year])\n",
"full_query = ' '.join([query, modifiers])\n",
"handle = Entrez.esearch(db='pubmed', \n",
" retmax='100000',\n",
" retmode='xml', \n",
" usehistory='n',\n",
" rettype='count',\n",
" term=full_query)\n",
"record = Entrez.read(handle)\n",
"record"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def query_counts(name,query,year='2018',mods='(((english[Language]) AND (CDC[Affiliation] OR Centers for Disease Control and Prevention[Affiliation]))) AND '):\n",
" Entrez.email = 'pubmed2@prepend.com'\n",
" modifiers = ' '.join([mods + ' %s[PDAT]' % year])\n",
" full_query = ' '.join([query, modifiers])\n",
" handle = Entrez.esearch(db='pubmed', \n",
" retmax='100000',\n",
" retmode='xml', \n",
" rettype='count',\n",
" term=full_query)\n",
" papers = Entrez.read(handle)\n",
" count = int(papers['Count'])\n",
" handle = Entrez.esearch(db='pubmed', \n",
" retmax='100000',\n",
" retmode='xml', \n",
" term=modifiers)\n",
" total_papers = Entrez.read(handle)\n",
" total_count = int(total_papers['Count'])\n",
" now = datetime.now().timetuple()\n",
" if year == now.tm_year:\n",
" days_in_year = date(year, 12, 31).timetuple().tm_yday\n",
" count *= days_in_year / now.tm_yday\n",
" total_count *= days_in_year / now.tm_yday\n",
" return dict(name=name, year=year, count=count, total_count=total_count)\n",
"\n",
"results = pd.DataFrame([query_counts(name, query, year)\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2019)])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'SAS AND (((english[Language]) AND (CDC[Affiliation] OR Centers for Disease Control and Prevention[Affiliation]))) AND 2017[PDAT]'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"full_query"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note: need to generate an ADS API key and save in ``$HOME/.ads/dev_key`` in order for this to work."
]
},
{
"cell_type": "raw",
"metadata": {
"collapsed": true
},
"source": [
"# For development, use the sandbox so as to not hit query limits\n",
"# import ads.sandbox as ads\n",
"\n",
"# When ready to execute, use the full machinery\n",
"import ads"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"def query_counts(name, query, year, acknowledgements=False):\n",
" if acknowledgements:\n",
" query = 'ack:' + query\n",
" modifiers = ' '.join(['year:%i'])\n",
" full_query = ' '.join([query, modifiers])\n",
" filter_query = ['database:astronomy',\n",
" 'property:refereed']\n",
" papers = ads.SearchQuery(q=full_query % year,\n",
" fq=filter_query)\n",
" papers.execute()\n",
" count = int(papers.response.numFound)\n",
" total_papers = ads.SearchQuery(q=modifiers % year)\n",
" total_papers.execute()\n",
" total_count = int(total_papers.response.numFound)\n",
" now = datetime.now().timetuple()\n",
" if year == now.tm_year:\n",
" days_in_year = date(year, 12, 31).timetuple().tm_yday\n",
" count *= days_in_year / now.tm_yday\n",
" total_count *= days_in_year / now.tm_yday\n",
" return dict(name=name, query=query, year=year, count=count, total_count=total_count)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#queries = {'default': ['(english[Language]) AND (CDC[Affiliation] OR \"Centers for Disease Control Prevention\"[Affiliation])']}\n",
"#queries = ['']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%timeit\n",
"all_filename = 'all_ph_results.csv'\n",
"\n",
"if not os.path.exists(all_filename):\n",
" results = pd.DataFrame([query_counts(name, query, year,'english[Language]')\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2019)])\n",
" results.to_csv(all_filename, index=False)\n",
" \n",
"all_results = pd.read_csv(all_filename)\n",
"all_results.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'name': 'Java', 'year': '2017', 'count': 169686, 'total_count': 1247138}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"query_counts('Java', 'C', '2017','english[Language]')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%timeit\n",
"results = pd.DataFrame([query_counts(name, query, year,'english[Language]')\n",
" for name, queries in {'Python': ['Python']}.items()\n",
" for query in queries\n",
" for year in range(2000, 2002)])\n",
"results"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"results"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"filename = 'ADS_results.csv'\n",
"\n",
"if not os.path.exists(filename):\n",
" results = pd.DataFrame([query_counts(name, query, year)\n",
" for name, queries in languages.items()\n",
" for query in queries\n",
" for year in range(2000, 2018)])\n",
" results.to_csv(filename, index=False)\n",
" \n",
"results = pd.read_csv(filename)\n",
"results.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"results"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"ph_results = ph_results.groupby(['name', 'year']).sum().reset_index()\n",
"ph_results['pct'] = 100 * ph_results['count'] / ph_results['total_count']"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"draw_plot(ph_results,'ph_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"draw_plot(all_results,'all_languages.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Entrez.email = \"pubmed@prepend.com\"\n",
"handle = Entrez.efetch(db=\"pubmed\", id=\"23954024\", rettype=\"xml\")\n",
"records = Entrez.read(handle)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"pip install biopython"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
*.ipynb
*.bak
name year count total_count
Python 2000 0 933
Python 2001 0 1048
Python 2002 0 962
Python 2003 0 1145
Python 2004 0 1224
Python 2005 0 1320
Python 2006 0 1438
Python 2007 0 1450
Python 2008 1 1518
Python 2009 1 1551
Python 2010 0 1647
Python 2011 0 1936
Python 2012 1 1930
Python 2013 0 2052
Python 2014 1 2928
Python 2015 0 3367
Python 2016 1 3537
Python 2017 0 3587
Python 2018 0 3508
Python 2019 1 3345
Python 2020 0 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 0 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 0 1647
R 2011 0 1936
R 2012 0 1930
R 2013 0 2052
R 2014 1 2928
R 2015 0 3367
R 2016 0 3537
R 2017 0 3587
R 2018 0 3508
R 2019 0 3345
R 2020 0 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 1 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 0 1647
R 2011 1 1936
R 2012 0 1930
R 2013 1 2052
R 2014 3 2928
R 2015 2 3367
R 2016 2 3537
R 2017 2 3587
R 2018 3 3508
R 2019 3 3345
R 2020 0 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 0 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 1 1647
R 2011 1 1936
R 2012 3 1930
R 2013 3 2052
R 2014 2 2928
R 2015 1 3367
R 2016 1 3537
R 2017 1 3587
R 2018 5 3508
R 2019 4 3345
R 2020 7 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 1 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 0 1647
R 2011 0 1936
R 2012 1 1930
R 2013 0 2052
R 2014 2 2928
R 2015 1 3367
R 2016 2 3537
R 2017 0 3587
R 2018 4 3508
R 2019 6 3345
R 2020 2 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 0 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 0 1647
R 2011 0 1936
R 2012 2 1930
R 2013 0 2052
R 2014 0 2928
R 2015 1 3367
R 2016 0 3537
R 2017 1 3587
R 2018 1 3508
R 2019 0 3345
R 2020 0 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 0 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 1 1518
R 2009 0 1551
R 2010 0 1647
R 2011 0 1936
R 2012 1 1930
R 2013 1 2052
R 2014 5 2928
R 2015 9 3367
R 2016 8 3537
R 2017 7 3587
R 2018 14 3508
R 2019 17 3345
R 2020 14 3526
R 2000 0 933
R 2001 0 1048
R 2002 0 962
R 2003 0 1145
R 2004 0 1224
R 2005 0 1320
R 2006 0 1438
R 2007 0 1450
R 2008 0 1518
R 2009 0 1551
R 2010 0 1647
R 2011 0 1936
R 2012 0 1930
R 2013 0 2052
R 2014 0 2928
R 2015 0 3367
R 2016 1 3537
R 2017 1 3587
R 2018 1 3508
R 2019 0 3345
R 2020 0 3526
SAS 2000 0 933
SAS 2001 0 1048
SAS 2002 0 962
SAS 2003 1 1145
SAS 2004 1 1224
SAS 2005 2 1320
SAS 2006 2 1438
SAS 2007 4 1450
SAS 2008 4 1518
SAS 2009 1 1551
SAS 2010 7 1647
SAS 2011 4 1936
SAS 2012 7 1930
SAS 2013 3 2052
SAS 2014 9 2928
SAS 2015 16 3367
SAS 2016 9 3537
SAS 2017 12 3587
SAS 2018 6 3508
SAS 2019 8 3345
SAS 2020 10 3526
SPSS 2000 0 933
SPSS 2001 0 1048
SPSS 2002 0 962
SPSS 2003 1 1145
SPSS 2004 0 1224
SPSS 2005 0 1320
SPSS 2006 0 1438
SPSS 2007 0 1450
SPSS 2008 0 1518
SPSS 2009 0 1551
SPSS 2010 1 1647
SPSS 2011 1 1936
SPSS 2012 0 1930
SPSS 2013 4 2052
SPSS 2014 8 2928
SPSS 2015 7 3367
SPSS 2016 4 3537
SPSS 2017 2 3587
SPSS 2018 6 3508
SPSS 2019 10 3345
SPSS 2020 5 3526
JavaScript 2000 0 933
JavaScript 2001 0 1048
JavaScript 2002 0 962
JavaScript 2003 0 1145
JavaScript 2004 0 1224
JavaScript 2005 0 1320
JavaScript 2006 0 1438
JavaScript 2007 0 1450
JavaScript 2008 0 1518
JavaScript 2009 0 1551
JavaScript 2010 1 1647
JavaScript 2011 0 1936
JavaScript 2012 0 1930
JavaScript 2013 0 2052
JavaScript 2014 0 2928
JavaScript 2015 0 3367
JavaScript 2016 0 3537
JavaScript 2017 0 3587
JavaScript 2018 0 3508
JavaScript 2019 0 3345
JavaScript 2020 0 3526
count name total_count year
3.0 C 476274.0 2000
4.0 C 490580.0 2001
9.0 C 506972.0 2002
12.0 C 533266.0 2003
18.0 C 576467.0 2004
17.0 C 634291.0 2005
20.0 C 682781.0 2006
23.0 C 720057.0 2007
32.0 C 770407.0 2008
25.0 C 811851.0 2009
28.0 C 877056.0 2010
26.0 C 956228.0 2011
40.0 C 1026315.0 2012
44.0 C 1088911.0 2013
38.0 C 1144012.0 2014
46.0 C 1199014.0 2015
64.0 C 1223469.0 2016
32.0 C 1247026.0 2017
41.885245901639344 C 1310826.2950819673 2018
202.0 C 476274.0 2000
221.0 C 490580.0 2001
246.0 C 506972.0 2002
261.0 C 533266.0 2003
257.0 C 576467.0 2004
352.0 C 634291.0 2005
402.0 C 682781.0 2006
448.0 C 720057.0 2007
500.0 C 770407.0 2008
465.0 C 811851.0 2009
540.0 C 877056.0 2010
581.0 C 956228.0 2011
636.0 C 1026315.0 2012
683.0 C 1088911.0 2013
755.0 C 1144012.0 2014
1127.0 C 1199014.0 2015
1659.0 C 1223469.0 2016
1641.0 C 1247026.0 2017
1409.7377049180327 C 1310826.2950819673 2018
205.0 C 476274.0 2000
240.0 C 490580.0 2001
196.0 C 506972.0 2002
243.0 C 533266.0 2003
277.0 C 576467.0 2004
272.0 C 634291.0 2005
343.0 C 682781.0 2006
349.0 C 720057.0 2007
388.0 C 770407.0 2008
396.0 C 811851.0 2009
437.0 C 877056.0 2010
528.0 C 956228.0 2011
556.0 C 1026315.0 2012
609.0 C 1088911.0 2013
754.0 C 1144012.0 2014
904.0 C 1199014.0 2015
1071.0 C 1223469.0 2016
1111.0 C 1247026.0 2017
1072.2622950819673 C 1310826.2950819673 2018
789.0 C 476274.0 2000
746.0 C 490580.0 2001
760.0 C 506972.0 2002
728.0 C 533266.0 2003
774.0 C 576467.0 2004
772.0 C 634291.0 2005
902.0 C 682781.0 2006
837.0 C 720057.0 2007
826.0 C 770407.0 2008
894.0 C 811851.0 2009
986.0 C 877056.0 2010
1089.0 C 956228.0 2011
1105.0 C 1026315.0 2012
1165.0 C 1088911.0 2013
1329.0 C 1144012.0 2014
1485.0 C 1199014.0 2015
1686.0 C 1223469.0 2016
1635.0 C 1247026.0 2017
1603.6065573770493 C 1310826.2950819673 2018
147.0 C 476274.0 2000
162.0 C 490580.0 2001
147.0 C 506972.0 2002
188.0 C 533266.0 2003
206.0 C 576467.0 2004
229.0 C 634291.0 2005
226.0 C 682781.0 2006
230.0 C 720057.0 2007
243.0 C 770407.0 2008
274.0 C 811851.0 2009
275.0 C 877056.0 2010
298.0 C 956228.0 2011
288.0 C 1026315.0 2012
331.0 C 1088911.0 2013
327.0 C 1144012.0 2014
411.0 C 1199014.0 2015
447.0 C 1223469.0 2016
474.0 C 1247026.0 2017
446.37704918032784 C 1310826.2950819673 2018
name year count total_count
Python 2000 19 477012
Python 2001 28 491223
Python 2002 37 507713
Python 2003 32 534101
Python 2004 32 577408
Python 2005 42 635161
Python 2006 44 684182
Python 2007 58 721303
Python 2008 77 771782
Python 2009 97 813234
Python 2010 117 878245
Python 2011 140 957784
Python 2012 157 1029173
Python 2013 210 1091716
Python 2014 284 1147306
Python 2015 311 1200352
Python 2016 339 1233415
Python 2017 397 1261206
Python 2018 579 1306339
Python 2019 713 1368155
Python 2020 947 1590969
R 2000 2 477012
R 2001 1 491223
R 2002 3 507713
R 2003 5 534101
R 2004 8 577408
R 2005 14 635161
R 2006 24 684182
R 2007 29 721303
R 2008 34 771782
R 2009 30 813234
R 2010 28 878245
R 2011 29 957784
R 2012 49 1029173
R 2013 31 1091716
R 2014 60 1147306
R 2015 64 1200352
R 2016 66 1233415
R 2017 58 1261206
R 2018 81 1306339
R 2019 102 1368155
R 2020 98 1590969
R 2000 186 477012
R 2001 171 491223
R 2002 190 507713
R 2003 227 534101
R 2004 267 577408
R 2005 351 635161
R 2006 395 684182
R 2007 403 721303
R 2008 441 771782
R 2009 497 813234
R 2010 501 878245
R 2011 573 957784
R 2012 656 1029173
R 2013 735 1091716
R 2014 903 1147306
R 2015 948 1200352
R 2016 1023 1233415
R 2017 1079 1261206
R 2018 1155 1306339
R 2019 1243 1368155
R 2020 1315 1590969
R 2000 61 477012
R 2001 68 491223
R 2002 64 507713
R 2003 72 534101
R 2004 84 577408
R 2005 126 635161
R 2006 135 684182
R 2007 137 721303
R 2008 156 771782
R 2009 152 813234
R 2010 193 878245
R 2011 252 957784
R 2012 251 1029173
R 2013 307 1091716
R 2014 399 1147306
R 2015 508 1200352
R 2016 613 1233415
R 2017 645 1261206
R 2018 722 1306339
R 2019 861 1368155
R 2020 1039 1590969
R 2000 158 477012
R 2001 138 491223
R 2002 145 507713
R 2003 164 534101
R 2004 172 577408
R 2005 159 635161
R 2006 323 684182
R 2007 212 721303
R 2008 224 771782
R 2009 228 813234
R 2010 256 878245
R 2011 330 957784
R 2012 387 1029173
R 2013 492 1091716
R 2014 603 1147306
R 2015 715 1200352
R 2016 771 1233415
R 2017 812 1261206
R 2018 888 1306339
R 2019 1044 1368155
R 2020 1291 1590969
R 2000 23 477012
R 2001 36 491223
R 2002 36 507713
R 2003 34 534101
R 2004 52 577408
R 2005 43 635161
R 2006 42 684182
R 2007 57 721303
R 2008 68 771782
R 2009 81 813234
R 2010 92 878245
R 2011 105 957784
R 2012 94 1029173
R 2013 140 1091716
R 2014 174 1147306
R 2015 205 1200352
R 2016 228 1233415
R 2017 293 1261206
R 2018 326 1306339
R 2019 421 1368155
R 2020 492 1590969
R 2000 192 477012
R 2001 205 491223
R 2002 154 507713
R 2003 153 534101
R 2004 143 577408
R 2005 189 635161
R 2006 209 684182
R 2007 250 721303
R 2008 361 771782
R 2009 389 813234
R 2010 478 878245
R 2011 529 957784
R 2012 714 1029173
R 2013 974 1091716
R 2014 1633 1147306
R 2015 2131 1200352
R 2016 2516 1233415
R 2017 2884 1261206
R 2018 5638 1306339
R 2019 9097 1368155
R 2020 11389 1590969
R 2000 0 477012
R 2001 1 491223
R 2002 0 507713
R 2003 1 534101
R 2004 4 577408
R 2005 0 635161
R 2006 5 684182
R 2007 6 721303
R 2008 6 771782
R 2009 4 813234
R 2010 7 878245
R 2011 12 957784
R 2012 8 1029173
R 2013 6 1091716
R 2014 12 1147306
R 2015 31 1200352
R 2016 36 1233415
R 2017 29 1261206
R 2018 41 1306339
R 2019 51 1368155
R 2020 62 1590969
SAS 2000 182 477012
SAS 2001 211 491223
SAS 2002 257 507713
SAS 2003 273 534101
SAS 2004 312 577408
SAS 2005 357 635161
SAS 2006 402 684182
SAS 2007 470 721303
SAS 2008 542 771782
SAS 2009 539 813234
SAS 2010 638 878245
SAS 2011 736 957784
SAS 2012 822 1029173
SAS 2013 843 1091716
SAS 2014 1043 1147306
SAS 2015 1244 1200352
SAS 2016 1346 1233415
SAS 2017 1454 1261206
SAS 2018 1565 1306339
SAS 2019 1755 1368155
SAS 2020 2280 1590969
SPSS 2000 90 477012
SPSS 2001 117 491223
SPSS 2002 121 507713
SPSS 2003 177 534101
SPSS 2004 209 577408
SPSS 2005 297 635161
SPSS 2006 369 684182
SPSS 2007 433 721303
SPSS 2008 589 771782
SPSS 2009 770 813234
SPSS 2010 1010 878245
SPSS 2011 1279 957784
SPSS 2012 1764 1029173
SPSS 2013 2257 1091716
SPSS 2014 2892 1147306
SPSS 2015 3210 1200352
SPSS 2016 3345 1233415
SPSS 2017 3628 1261206
SPSS 2018 3890 1306339
SPSS 2019 4491 1368155
SPSS 2020 5805 1590969
JavaScript 2000 6 477012
JavaScript 2001 10 491223
JavaScript 2002 12 507713
JavaScript 2003 2 534101
JavaScript 2004 8 577408
JavaScript 2005 11 635161
JavaScript 2006 4 684182
JavaScript 2007 14 721303
JavaScript 2008 15 771782
JavaScript 2009 15 813234
JavaScript 2010 14 878245
JavaScript 2011 15 957784
JavaScript 2012 18 1029173
JavaScript 2013 36 1091716
JavaScript 2014 47 1147306
JavaScript 2015 64 1200352
JavaScript 2016 76 1233415
JavaScript 2017 73 1261206
JavaScript 2018 76 1306339
JavaScript 2019 64 1368155
JavaScript 2020 53 1590969
count name total_count year
6.0 JavaScript 476274.0 2000
10.0 JavaScript 490580.0 2001
12.0 JavaScript 506972.0 2002
2.0 JavaScript 533266.0 2003
8.0 JavaScript 576467.0 2004
11.0 JavaScript 634291.0 2005
4.0 JavaScript 682781.0 2006
14.0 JavaScript 720057.0 2007
15.0 JavaScript 770407.0 2008
15.0 JavaScript 811851.0 2009
14.0 JavaScript 877056.0 2010
15.0 JavaScript 956228.0 2011
18.0 JavaScript 1026315.0 2012
36.0 JavaScript 1088911.0 2013
47.0 JavaScript 1144012.0 2014
64.0 JavaScript 1199014.0 2015
76.0 JavaScript 1223469.0 2016
72.0 JavaScript 1247026.0 2017
84.9672131147541 JavaScript 1310826.2950819673 2018
count name total_count year
19.0 Python 476273.0 2000
28.0 Python 490580.0 2001
37.0 Python 506972.0 2002
32.0 Python 533266.0 2003
32.0 Python 576467.0 2004
42.0 Python 634291.0 2005
44.0 Python 682781.0 2006
58.0 Python 720057.0 2007
76.0 Python 770407.0 2008
97.0 Python 811851.0 2009
117.0 Python 877056.0 2010
140.0 Python 956228.0 2011
157.0 Python 1026315.0 2012
210.0 Python 1088911.0 2013
284.0 Python 1144012.0 2014
311.0 Python 1199014.0 2015
336.0 Python 1223469.0 2016
384.0 Python 1247026.0 2017
582.8032786885246 Python 1310826.2950819673 2018
count name total_count year
2.0 R 476274.0 2000
1.0 R 490580.0 2001
3.0 R 506972.0 2002
5.0 R 533266.0 2003
8.0 R 576467.0 2004
14.0 R 634291.0 2005
24.0 R 682781.0 2006
29.0 R 720057.0 2007
34.0 R 770407.0 2008
30.0 R 811851.0 2009
28.0 R 877056.0 2010
29.0 R 956228.0 2011
49.0 R 1026315.0 2012
31.0 R 1088911.0 2013
60.0 R 1144012.0 2014
63.0 R 1199014.0 2015
66.0 R 1223469.0 2016
56.0 R 1247026.0 2017
64.62295081967213 R 1310826.2950819673 2018
185.0 R 476274.0 2000
170.0 R 490580.0 2001
190.0 R 506972.0 2002
226.0 R 533266.0 2003
267.0 R 576467.0 2004
350.0 R 634291.0 2005
394.0 R 682781.0 2006
401.0 R 720057.0 2007
439.0 R 770407.0 2008
497.0 R 811851.0 2009
498.0 R 877056.0 2010
574.0 R 956228.0 2011
658.0 R 1026315.0 2012
739.0 R 1088911.0 2013
901.0 R 1144012.0 2014
948.0 R 1199014.0 2015
1018.0 R 1223469.0 2016
1005.0 R 1247026.0 2017
921.4754098360655 R 1310826.2950819673 2018
62.0 R 476274.0 2000
68.0 R 490580.0 2001
64.0 R 506972.0 2002
72.0 R 533266.0 2003
84.0 R 576467.0 2004
126.0 R 634291.0 2005
136.0 R 682781.0 2006
139.0 R 720057.0 2007
156.0 R 770407.0 2008
151.0 R 811851.0 2009
192.0 R 877056.0 2010
251.0 R 956228.0 2011
251.0 R 1026315.0 2012
309.0 R 1088911.0 2013
398.0 R 1144012.0 2014
509.0 R 1199014.0 2015
605.0 R 1223469.0 2016
628.0 R 1247026.0 2017
677.344262295082 R 1310826.2950819673 2018
157.0 R 476274.0 2000
136.0 R 490580.0 2001
146.0 R 506972.0 2002
161.0 R 533266.0 2003
172.0 R 576467.0 2004
159.0 R 634291.0 2005
311.0 R 682781.0 2006
211.0 R 720057.0 2007
221.0 R 770407.0 2008
224.0 R 811851.0 2009
256.0 R 877056.0 2010
327.0 R 956228.0 2011
388.0 R 1026315.0 2012
490.0 R 1088911.0 2013
601.0 R 1144012.0 2014
713.0 R 1199014.0 2015
769.0 R 1223469.0 2016
790.0 R 1247026.0 2017
852.0655737704918 R 1310826.2950819673 2018
23.0 R 476274.0 2000
36.0 R 490580.0 2001
36.0 R 506972.0 2002
34.0 R 533266.0 2003
52.0 R 576467.0 2004
43.0 R 634291.0 2005
42.0 R 682781.0 2006
57.0 R 720057.0 2007
68.0 R 770407.0 2008
81.0 R 811851.0 2009
92.0 R 877056.0 2010
106.0 R 956228.0 2011
93.0 R 1026315.0 2012
140.0 R 1088911.0 2013
173.0 R 1144012.0 2014
205.0 R 1199014.0 2015
227.0 R 1223469.0 2016
291.0 R 1247026.0 2017
330.2950819672131 R 1310826.2950819673 2018
count name total_count year
182.0 SAS 476274.0 2000
209.0 SAS 490580.0 2001
257.0 SAS 506972.0 2002
273.0 SAS 533266.0 2003
313.0 SAS 576467.0 2004
357.0 SAS 634291.0 2005
401.0 SAS 682781.0 2006
467.0 SAS 720057.0 2007
539.0 SAS 770407.0 2008
537.0 SAS 811851.0 2009
637.0 SAS 877056.0 2010
732.0 SAS 956228.0 2011
820.0 SAS 1026315.0 2012
842.0 SAS 1088911.0 2013
1040.0 SAS 1144012.0 2014
1259.0 SAS 1199014.0 2015
1345.0 SAS 1223469.0 2016
1437.0 SAS 1247026.0 2017
1540.1803278688524 SAS 1310826.2950819673 2018
count name total_count year
90.0 SPSS 476274.0 2000
117.0 SPSS 490580.0 2001
121.0 SPSS 506972.0 2002
177.0 SPSS 533266.0 2003
209.0 SPSS 576467.0 2004
297.0 SPSS 634291.0 2005
369.0 SPSS 682781.0 2006
433.0 SPSS 720057.0 2007
588.0 SPSS 770407.0 2008
767.0 SPSS 811851.0 2009
1009.0 SPSS 877056.0 2010
1279.0 SPSS 956228.0 2011
1764.0 SPSS 1026315.0 2012
2256.0 SPSS 1088911.0 2013
2890.0 SPSS 1144012.0 2014
3207.0 SPSS 1199014.0 2015
3335.0 SPSS 1223469.0 2016
3567.0 SPSS 1247026.0 2017
3560.245901639344 SPSS 1310826.2950819673 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment