import sys
from pmc_bibtex import ArticleList
alist = ArticleList()
query = "(adaptive+optics)+AND+(optical+coherence+tomography)"
alist.build(query)
alist.to_bibtex("test.bib")
from pmc_bibtex import ArticleList
from matplotlib import pyplot as plt
import numpy as np
alist = ArticleList()
query = '(adaptive+optics)'
alist.build(query,retmax=10000)
years = []
bins = np.arange(2003.5,2015.6,1.0)
for a in alist.article_list:
y = 2016
for key in a.date_dict.keys():
y_c = a.date_dict[key].year
if y_c<y:
y = y_c
if 2004<=y<=2015: years.append(y)
plt.hist(years,bins)
plt.show()
import sys
from pmc_bibtex import ArticleList
alist = ArticleList()
query = '(adaptive+optics)+AND+(optical+coherence+tomography)'
alist.build(query)
alist.to_bibtex('test.bib')
sys.exit()
bibtex_fid = open('pmc_aooct.bib','wb')
with open('aooct_citations.csv','wb') as f:
writer = csv.writer(f)
for id in idlist:
id = id[4:-5]
print id
xml = fetch(id)
art = xml2article(xml)
match = art.conjoint_search(['adaptive optics','optical coherence tomography'])
include_fn = os.path.join('.','xml','%s.xml.include'%id)
if not match:
include_fid = open(include_fn,'wb')
include_fid.write('0')
include_fid.close()
print 'No match.'
continue
try:
include_fid = open(include_fn,'rb')
include = bool(include_fid.read())
include_fid.close()