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)
visualiser.py 文件源码
python
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