2.安装Spark与Python练习

一、安装Spark

1. 检查基础环境hadoop,jdk

    

2. 下载spark
3. 解压，文件夹重命名、权限
4. 配置文件

    

5. 环境变量
6. 试运行Python代码

    

二、Python编程练习：英文文本的词频统计

1. 准备文本文件
2. 读文件
3. 预处理：大小写，标点符号，停用词

   with open("Under the Red Dragon.txt", "r") as f: text=f.read() text = text.lower() for ch in '!@#$%^&*(_)-+=\\[]}{|;:\'\"`~,<.>?/': text=text.replace(ch," ") words = text.split() # 以空格分割文本 stop_words = [] with open('stop_words.txt','r') as f: # 读取停用词文件 for line in f: stop_words.append(line.strip('\n')) afterwords=[] for i in range(len(words)): z=1 for j in range(len(stop_words)): if words[i]==stop_words[j]: continue else: if z==len(stop_words): afterwords.append(words[i]) break z=z+1 continue

4. 分词
5. 统计每个单词出现的次数

   counts = {} for word in afterwords: counts[word] = counts.get(word, 0) + 1 items = list(counts.items()) items.sort(key=lambda x: x[1], reverse=True) f1 = open('count.txt', 'w') for i in range(len(items)): word, count = items[i] f1.write(word+" "+str(count)+"\n")

    

6. 按词频大小排序

    

7. 结果写文件

    

标签：word,Python,text,练习,stop,words,items,Spark,counts
来源： https://www.cnblogs.com/Quinnci/p/15981498.html