def printFeaturesStats(tweets):
arr_Handles = numpy.array([0] * len(tweets))
arr_Hashtags = numpy.array([0] * len(tweets))
arr_Urls = numpy.array([0] * len(tweets))
arr_Emoticons = numpy.array([0] * len(tweets))
arr_Words = numpy.array([0] * len(tweets))
arr_Chars = numpy.array([0] * len(tweets))
i = 0
for (text, sent, subj, quer) in tweets:
arr_Handles[i] = preprocessing.countHandles(text)
arr_Hashtags[i] = preprocessing.countHashtags(text)
arr_Urls[i] = preprocessing.countUrls(text)
arr_Emoticons[i] = preprocessing.countEmoticons(text)
arr_Words[i] = len(text.split())
arr_Chars[i] = len(text)
i += 1
print '%-10s %-010s %-4s ' % ('Features', 'Average', 'Maximum')
print '%10s %10.6f %10d' % ('Handles', arr_Handles.mean(),
arr_Handles.max())
print '%10s %10.6f %10d' % ('Hashtags', arr_Hashtags.mean(),
arr_Hashtags.max())
print '%10s %10.6f %10d' % ('Urls', arr_Urls.mean(), arr_Urls.max())
print '%10s %10.6f %10d' % ('Emoticons', arr_Emoticons.mean(),
arr_Emoticons.max())
print '%10s %10.6f %10d' % ('Words', arr_Words.mean(), arr_Words.max())
print '%10s %10.6f %10d' % ('Chars', arr_Chars.mean(), arr_Chars.max())
def printFeaturesStats( tweets ):
arr_Handles = numpy.array( [0]*len(tweets) )
arr_Hashtags = numpy.array( [0]*len(tweets) )
arr_Urls = numpy.array( [0]*len(tweets) )
arr_Emoticons = numpy.array( [0]*len(tweets) )
arr_Words = numpy.array( [0]*len(tweets) )
arr_Chars = numpy.array( [0]*len(tweets) )
i=0
for (text, sent, subj, quer) in tweets:
arr_Handles[i] = preprocessing.countHandles(text)
arr_Hashtags[i] = preprocessing.countHashtags(text)
arr_Urls[i] = preprocessing.countUrls(text)
arr_Emoticons[i] = preprocessing.countEmoticons(text)
arr_Words[i] = len(text.split())
arr_Chars[i] = len(text)
i+=1
print '%-10s %-010s %-4s '%('Features', 'Average', 'Maximum')
print '%10s %10.6f %10d'%('Handles', arr_Handles.mean(), arr_Handles.max() )
print '%10s %10.6f %10d'%('Hashtags', arr_Hashtags.mean(), arr_Hashtags.max() )
print '%10s %10.6f %10d'%('Urls', arr_Urls.mean(), arr_Urls.max() )
print '%10s %10.6f %10d'%('Emoticons', arr_Emoticons.mean(), arr_Emoticons.max() )
print '%10s %10.6f %10d'%('Words', arr_Words.mean(), arr_Words.max() )
print '%10s %10.6f %10d'%('Chars', arr_Chars.mean(), arr_Chars.max() )