一、安装spark

1.基础环境——环境准备检查

 

 

 

2. 配置环境变量

3.配置相关文件

 

 4.运行pyspark

 

 5.在pyspark中运行代码

 

 

 

 

Python实现英文文本的词频统计

1.准备文本文件

 

 

 

2.读文件

txt = open("fit.txt", "r",encoding='UTF-8').read()

3.预处理：大小写、标点符号、停用词

txt = txt.lower()
for ch in '!"@#$%^&*()+,-./:;<=>?@[\\]_`~{|}':
    txt=txt.replace(ch," ")
words = txt.split()
stop_words = ['so','out','all','for','of','to','on','in','if','by','under','it','at','into','with','about']
lenwords=len(words)
afterwords=[]
for i in range(lenwords):
    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.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)

5.按词频大小排序

i=1
while i<=len(items):
    word,count = items[i-1]
    print("{0:<20}{1}".format(word,count))
    i=i+1

6.结果写文件

txt= open("research.txt", "w",encoding='UTF-8')
txt.write(str(items))
print("文件写入成功")

research.txt为输出结果生成文本文件

 

 research.txt内容