visualiser.py 文件源码

def featureMapHist(lang='py', normed=True):
    freq = getValue(lang, type='freq')
    raw = np.array([])

    for i in xrange(len(freq)):
        raw = np.append(raw, [i]*freq[i])
    print "[SUCCESS] Calculated raw for", lang

    (mu, sigma) = np.mean(raw), np.std(raw)
    pdf = norm.pdf(raw, mu, sigma)

    if not normed:
        plt.plot(raw, pdf, label="%s"%lang)
    else:
        ax = fig.add_subplot(3, 2, langs.index(lang)+1)
        plt.plot(raw, pdf)
        ax.hist(raw, normed=True, alpha=0.75)
        ax.set_title(lang)