用python 打出西游记人物出场次数，并生成词云库，

好的，下面是Python实现方法：

首先，我们需要读取西游记的文本文件，并使用jieba分词库对其进行分词，然后统计人物出现的次数。

import jieba
from collections import Counter
import wordcloud
import matplotlib.pyplot as plt

# 读取文本文件
with open('西游记.txt', 'r', encoding='utf-8') as f:
    text = f.read()

# 使用jieba分词进行分词
words = jieba.lcut(text)

# 统计人物出现的次数
# 人物名单可以根据需求自行添加或删除
counts = Counter()
for i in range(len(words) - 1):
    if words[i] == '孙悟空' or words[i] == '悟空' or words[i] == '行者':
        if words[i+1] == '大圣' or words[i+1] == '孙行者' or words[i+1] == '齐天大圣':
            counts['孙悟空'] += 1
    elif words[i] == '唐僧' or words[i] == '师父':
        if words[i+1] == '三藏' or words[i+1] == '玄奘':
            counts['唐僧'] += 1
    elif words[i] == '沙僧' or words[i] == '悟净' or words[i] == '悟能':
        if words[i+1] == '沙和尚' or words[i+1] == '悟净' or words[i+1] == '悟能':
            counts['沙僧'] += 1
    elif words[i] == '猪八戒' or words[i] == '八戒' or words[i] == '猪悟能':
        if words[i+1] == '天蓬元帅' or words[i+1] == '猪悟能':
            counts['猪八戒'] += 1
    elif words[i] == '观音' or words[i] == '菩萨':
        if words[i+1] == '观世音菩萨' or words[i+1] == '菩萨':
            counts['观音'] += 1

# 输出出现次数前5的人物名和次数
top_counts = counts.most_common(5)
for name, count in top_counts:
    print(name, count)

接下来，我们需要生成词云图。使用wordcloud库可以轻松生成词云图。

# 生成词云图
wc = wordcloud.WordCloud(width=800, height=600, background_color='white')
wc.generate_from_frequencies(counts)
plt.imshow(wc, interpolation='bilinear')
plt.axis('off')
plt.show()

完整代码如下：

import jieba
from collections import Counter
import wordcloud
import matplotlib.pyplot as plt

# 读取文本文件
with open('西游记.txt', 'r', encoding='utf-8') as f:
    text = f.read()

# 使用jieba分词进行分词
words = jieba.lcut(text)

# 统计人物出现的次数
# 人物名单可以根据需求自行添加或删除
counts = Counter()
for i in range(len(words) - 1):
    if words[i] == '孙悟空' or words[i] == '悟空' or words[i] == '行者':
        if words[i+1] == '大圣' or words[i+1] == '孙行者' or words[i+1] == '齐天大圣':
            counts['孙悟空'] += 1
    elif words[i] == '唐僧' or words[i] == '师父':
        if words[i+1] == '三藏' or words[i+1] == '玄奘':
            counts['唐僧'] += 1
    elif words[i] == '沙僧' or words[i] == '悟净' or words[i] == '悟能':
        if words[i+1] == '沙和尚' or words[i+1] == '悟净' or words[i+1] == '悟能':
            counts['沙僧'] += 1
    elif words[i] == '猪八戒' or words[i] == '八戒' or words[i] == '猪悟能':
        if words[i+1] == '天蓬元帅' or words[i+1] == '猪悟能':
            counts['猪八戒'] += 1
    elif words[i] == '观音' or words[i] == '菩萨':
        if words[i+1] == '观世音菩萨' or words[i+1] == '菩萨':
            counts['观音'] += 1

# 输出出现次数前5的人物名和次数
top_counts = counts.most_common(5)
for name, count in top_counts:
    print(name, count)

# 生成词云图
wc = wordcloud.WordCloud(width=800, height=600, background_color='white')
wc.generate_from_frequencies(counts)
plt.imshow(wc, interpolation='bilinear')
plt.axis('off')
plt.show()

注意事项：

- 代码中的人物名单可以根据需求自行添加或删除。
- 为了避免词云图中出现单个汉字，可以使用WordCloud库的stopwords参数去掉停用词，例如：`wc = wordcloud.WordCloud(width=800, height=600, background_color='white', stopwords={'的', '了', '是', '在', '和', '也', '就', '等'})`。
- 由于西游记文本比较大，分析时间可能会比较长，建议在测试时使用较小的文本文件。