Bar Chart of Frequency of modals in different sections of the Brown Corpus

Natural Language Processing with Python

Chapter 4.8

colors = 'rgbcmyk' # red, green, blue, cyan, magenta, yellow, black
    
def bar_chart(categories, words, counts):
    "Plot a bar chart showing counts for each word by category"
    import pylab
    
    ind = pylab.arange(len(words))
    width = 0.1*1 / (len(categories) + 1)*10
    bar_groups = []
    for c in range(len(categories)):
        bars = pylab.bar(ind+c*width, counts[categories[c]], width,
                        color=colors[c % len(colors)])
        bar_groups.append(bars)
    pylab.xticks(ind+width, words)
    pylab.legend([b[0] for b in bar_groups], categories, loc='upper left')
    pylab.ylabel('Frequency')
    pylab.title('Frequency of Six Modal Verbs by Genre')
    pylab.show()
    
def test_bar_char():
    genres = ['news', 'religion', 'hobbies', 'government', 'adventure']
    modals = ['can', 'could', 'may', 'might', 'must', 'will']
    cfdist = nltk.ConditionalFreqDist(
                (genre, word)
                for genre in genres
                for word in nltk.corpus.brown.words(categories=genre)
                if word in modals)
    counts = {}
    for genre in genres:
        counts[genre] = [cfdist[genre][word] for word in modals]
    bar_chart(genres, modals, counts)

修改了width,结果为：