本文整理汇总了Python中Problem.Problem.calcRelevance方法的典型用法代码示例。如果您正苦于以下问题：Python Problem.calcRelevance方法的具体用法？Python Problem.calcRelevance怎么用？Python Problem.calcRelevance使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Problem.Problem的用法示例。
在下文中一共展示了Problem.calcRelevance方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: dict
# 需要导入模块: from Problem import Problem [as 别名]
# 或者: from Problem.Problem import calcRelevance [as 别名]
__author__ = 'YanChenDeng'
from Problem import Problem
import csv
read=csv.reader(file('A1Ratings.csv','rb'))
problem=Problem()
for line in read:
problem.loadLine(line)
print 'mean rating:'
print dict(zip(problem.moviesName,[('%.2f')%f for f in problem.meanRating()]))
print 'rating count:'
print dict(zip(problem.moviesName,[('%.2f')%f for f in problem.ratingCount()]))
print 'high rating:'
print dict(zip(problem.moviesName,[('%.2f')%f for f in problem.highRating()]))
print 'relevance of Star Wars: Episode IV - A New Hope (1977):'
print dict(zip(problem.moviesName,[('%.2f')%f for f in problem.calcRelevance('260: Star Wars: Episode IV - A New Hope (1977)')]))