proNlp1/infBack.py

39 lines
700 B
Python

def get_vect():
import yaml
rawDat = open('rss_univ.txt', 'r')
strDat = rawDat.read()
rawDat = strDat.split(';\n')
index = len(rawDat) - 1
rawDat.pop(index)
strDat = []
for i in rawDat:
strDat.append(yaml.load(i))
del rawDat
impDat = []
for d in strDat:
impDat.append([d['entries'][0]['title'], d['entries'][0]['links'][0]['href'], d['entries'][0]['summary']])
del strDat
return impDat
# print(len(get_vect()))
# this section of the code show how to extract relevant data from the dictionaries
"""
print(dic['entries'][0]['title'])
print(dic['entries'][0]['links'][0]['href'])
print(dic['entries'][0]['summary'])
"""