With your team, enter the the following Python program in your favorite editor on the Blue Unix server (blue.cs.sonoma.edu). Save the program as "word_frequency.py"
#!/usr/bin/python3 ############################################################################ # EXAMPLE: using dictionaries to count frequencies of words in song lyrics # ############################################################################ def lyrics_to_frequencies(lyrics): myDict = {} for word in lyrics: if word in myDict: myDict[word] += 1 else: myDict[word] = 1 return myDict hemispheres = ['When', 'our', 'weary', 'world', 'was', 'young', 'The', 'struggle', 'of', 'the', 'ancients', 'first', 'began', 'The', 'gods', 'of', 'Love', 'and', 'Reason', 'Sought', 'alone', 'to', 'rule', 'the', 'fate', 'of', 'Man', 'They', 'battled', 'through', 'the', 'ages', 'But', 'still', 'neither', 'force', 'would', 'yield', 'The', 'people', 'were', 'divided', 'Every', 'soul', 'a', 'battlefield', 'I', 'bring', 'truth', 'and', 'understanding', 'I', 'bring', 'wit', 'and', 'wisdom', 'fair', 'Precious', 'gifts', 'beyond', 'compare', 'We', 'can', 'build', 'a', 'world', 'of', 'wonder', 'I', 'can', 'make', 'you', 'all', 'aware' 'I', 'will', 'find', 'you', 'food', 'and', 'shelter', 'Show', 'you', 'fire', 'to', 'keep', 'you', 'warm', 'Through', 'the', 'endless', 'winter', 'storm', 'You', 'can', 'live', 'in', 'grace', 'and', 'comfort', 'In', 'the', 'world', 'that', 'you', 'transform' 'The', 'people', 'were', 'delighted', 'Coming', 'forth', 'to', 'claim', 'their', 'prize', 'They', 'ran', 'to', 'build', 'their', 'cities', 'And', 'converse', 'among', 'the', 'wise', 'But', 'one', 'day', 'the', 'streets', 'fell', 'silent', 'Yet', 'they', 'knew', 'not', 'what', 'was', 'wrong', 'The', 'urge', 'to', 'build', 'these', 'fine', 'things', 'Seemed', 'not', 'to', 'be', 'so', 'strong', 'The', 'wise', 'men', 'were', 'consulted', 'And', 'the', 'Bridge', 'of', 'Death', 'was', 'crossed', 'In', 'quest', 'of', 'Dionysus', 'To', 'find', 'out', 'what', 'they', 'had', 'lost', 'I', 'bring', 'love', 'to', 'give', 'you', 'solace', 'In', 'the', 'darkness', 'of', 'the', 'night', 'In', 'the', 'Hearts', 'eternal', 'light', 'You', 'need', 'only', 'trust', 'your', 'feelings', 'Only', 'Love', 'can', 'steer', 'you', 'right', 'I', 'bring', 'laughter,', 'I', 'bring', 'Music', 'I', 'bring', 'joy', 'and', 'I', 'bring', 'Tears', 'I', 'will', 'soothe', 'your', 'primal', 'fears', 'Throw', 'off', 'those', 'chains', 'of', 'Reason', 'And', 'your', 'prison', 'disappears' 'The', 'cities', 'were', 'abandoned', 'And', 'the', 'forests', 'echoed', 'song', 'They', 'danced', 'and', 'lived', 'as', 'brothers', 'They', 'knew', 'Love', 'could', 'not', 'be', 'wrong', 'Food', 'and', 'wine', 'they', 'had', 'aplenty', 'And', 'they', 'slept', 'beneath', 'the', 'stars', 'The', 'people', 'were', 'contented', 'And', 'the', 'Gods', 'watched', 'from', 'afar', 'But', 'the', 'winter', 'fell', 'upon', 'them', 'And', 'it', 'caught', 'them', 'unprepared', 'Bringing', 'wolves', 'and', 'cold', 'starvation', 'And', 'the', 'hearts', 'of', 'men', 'despaired', 'The', 'Universe', 'divided', 'As', 'the', 'Heart', 'and', 'Mind', 'collided', 'With', 'the', 'people', 'left', 'unguided', 'For', 'so', 'many', 'troubled', 'years', 'In', 'a', 'cloud', 'of', 'doubts', 'and', 'fears', 'Their', 'world', 'was', 'torn', 'asunder', 'into', 'hollow', 'hemispheres', 'Some', 'fought', 'themselves,', 'some', 'fought', 'each', 'other', 'Most', 'just', 'followed', 'one', 'another', 'Lost', 'and', 'aimless', 'like', 'their', 'brothers', 'For', 'their', 'hearts', 'were', 'so', 'unclear', 'And', 'the', 'truth', 'could', 'not', 'appear', 'Their', 'spirits', 'were', 'divided', 'into', 'blinded', 'hemispheres', 'Some', 'who', 'did', 'not', 'fight', 'Brought', 'tales', 'of', 'old', 'to', 'light', 'My', 'Rocinante', 'sailed', 'by', 'night', 'On', 'her', 'final', 'flight', 'To', 'the', 'heart', 'of', 'Cygnus', 'fearsome', 'force', 'We', 'set', 'our', 'course', 'Spiralled', 'through', 'that', 'timeless', 'space', 'To', 'this', 'immortal', 'place', 'I', 'have', 'memory', 'and', 'awareness', 'But', 'I', 'have', 'no', 'shape', 'or', 'form', 'As', 'a', 'disembodied', 'spirit', 'I', 'am', 'dead', 'and', 'yet', 'unborn', 'I', 'have', 'passed', 'into', 'Olympus', 'As', 'was', 'told', 'in', 'tales', 'of', 'old', 'To', 'the', 'City', 'of', 'Immortals', 'Marble', 'white', 'and', 'purest', 'gold', 'I', 'see', 'the', 'Gods', 'in', 'battle', 'rage', 'on', 'high', 'Thunderbolts', 'across', 'the', 'sky', 'I', 'cannot', 'move,', 'I', 'cannot', 'hide', 'I', 'feel', 'a', 'silent', 'scream', 'begin', 'inside', 'Then', 'all', 'at', 'once', 'the', 'chaos', 'ceased', 'A', 'stillness', 'fell,', 'a', 'sudden', 'peace', 'The', 'Warriors', 'felt', 'my', 'silent', 'cry', 'And', 'stayed', 'their', 'struggle,', 'mystified', 'Apollo', 'was', 'astonished', 'Dionysus', 'thought', 'me', 'mad', 'But', 'they', 'heard', 'my', 'story', 'further', 'And', 'they', 'wondered,', 'and', 'were', 'sad', 'Looking', 'down', 'from', 'Olympus', 'On', 'a', 'world', 'of', 'doubt', 'and', 'fear', 'Its', 'surface', 'splintered', 'into', 'Sorry', 'hemispheres', 'They', 'sat', 'a', 'while', 'in', 'silence', 'Then', 'they', 'turned', 'at', 'last', 'to', 'me', 'We', 'will', 'call', 'you', 'Cygnus', 'The', 'God', 'of', 'Balance', 'you', 'shall', 'be', 'We', 'can', 'walk', 'our', 'road', 'together', 'If', 'our', 'goals', 'are', 'all', 'the', 'same', 'We', 'can', 'run', 'alone', 'and', 'free', 'If', 'we', 'pursue', 'a', 'different', 'aim', 'Let', 'the', 'truth', 'of', 'Love', 'be', 'lighted', 'Let', 'the', 'love', 'of', 'truth', 'shine', 'clear', 'Sensibility', 'Armed', 'with', 'sense', 'and', 'liberty', 'With', 'the', 'Heart', 'and', 'Mind', 'united', 'In', 'a', 'single', 'perfect', 'sphere' ] rush = lyrics_to_frequencies(hemispheres) def most_common_words(freqs): values = freqs.values() best = max(freqs.values()) words = [] for k in freqs: if freqs[k] == best: words.append(k) return (words, best) def words_often(freqs, minTimes): result = [] done = False while not done: temp = most_common_words(freqs) if temp[1] >= minTimes: result.append(temp) for w in temp[0]: del(freqs[w]) #remove word from dict else: done = True return result print(words_often(rush, 2))
Modify the Python program (word_frequency.py) using vi, vim, or another text editor on Blue such that it displays word frequencies greater than or equal to nine.