def createCSV(phdThesis):
columns=['id','author','mDate','month','title','year']
with open ("phdThesis.csv", 'a') as csvfile:
header = columns
writeFiles = csv.Dict(csvfile, delimiter=',', lineterminator='\n',fieldnames=header)
for i in phdThesis:
context = etree.iterparse(i, load_dtd=True,html=True)
result=parseData(context)
result1=arrangeFormat(result)
df=pd.DataFrame(data=np.asarray(result1).reshape(1,len(columns)))
with open('phdThesis.csv', 'a') as f:
df.to_csv(f, header=False,index=False)
def createCSV(inproceeding):
columns=['id','author','bookTitle','cite','Mdate','publisher','title','year','url']
with open ("inproceeding.csv", 'a') as csvfile:
header = columns
writeFiles = csv.Dict(csvfile, delimiter=',', lineterminator='\n',fieldnames=header)
for i in inproceeding:
context = etree.iterparse(i, load_dtd=True,html=True)
result=parseData(context)
result1=arrangeFormat(result)
df=pd.DataFrame(data=np.asarray(result1).reshape(1,len(columns)))
with open('inproceeding.csv', 'a') as f:
df.to_csv(f, header=False,index=False)
