2.安装Spark与Python练习
作者:互联网
一、安装Spark
- 检查基础环境hadoop,jdk
- 配置文件
- 环境变量
- 试运行Python代码
二、Python编程练习:英文文本的词频统计
- 准备文本文件
- 读文件
- 预处理:大小写,标点符号,停用词
- 分词
- 统计每个单词出现的次数
- 按词频大小排序
- 结果写文件
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 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) # 输出前10 for i in range(10): word, count = items[i] print("{0:<10}{1:>5}".format(word, count)) # 打印前十个元素
标签:word,Python,text,练习,stop,words,items,Spark,counts 来源: https://www.cnblogs.com/llw1/p/15954928.html