一个完整的大作业

1.选一个自己感兴趣的主题。

2.网络上爬取相关的数据。

3.进行文本分析，生成词云。

4.对文本分析结果解释说明。

5.写一篇完整的博客，附上源代码、数据爬取及分析结果，形成一个可展示的成果。

1我对车感兴趣

2进行数据爬取

url = "http://guangzhou.bitauto.com/"
res = requests.get(url)
res.encoding = "utf-8"
soup = BeautifulSoup(res.text, "html.parser")
output = open("rrr.txt", "a+", encoding="utf-8")
for p in soup.find_all("p"):
    output.write(p.get_text() + "
")
output.close()
txt = open("rrr.txt", "r", encoding="utf-8").read()

words = jieba.lcut(txt)
ls = []
counts = {}

for word in words:
    ls.append(word)
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word,0)+1
items = list(counts.items())
items.sort(key = lambda x:x[1], reverse = True)

for i in range(10):
    word , count = items[i]
    print ("{:<5}{:>2}".format(word,count))

3生成词云

wordlist = jieba.cut(txt, cut_all=True)
wl_split = "/".join(wordlist)
hzt = WordCloud(font_path='msyh.ttc').generate(wl_split)
plt.imshow(hzt)
plt.axis("off")
plt.show()

4结果分析