visualiser.py 文件源码

def featureMapDensity(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

    gaussKDE = gaussian_kde(raw, bw_method=0.5)
    ind = np.linspace(1, 115, 200)

    plt.plot(ind, gaussKDE(ind), label="%s"%lang)