2.安装Spark与Python练习

一、安装Spark

配置文件

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

path='/home/hadoop/wc/f1.txt' with open(path) as f: txt=f.read()

3.预处理

大写转小写

txt = txt.lower()

标点符号

点击查看代码

for ch in '!"@#$%^&*()+,-./:;<=>?@[\\]_`~{|}':
    txt=txt.replace(ch," ")
words = txt.split()

停用词

stop_words = ['so','out','all','for','of','to','on','in','if','by','under','it','at','into','with','about','i','am','are','is','a','the','and','that','before','her','she','my','be','an','from','would','me','got'] lenwords=len(words)

4.统计每个单词出现的次数

点击查看代码

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

5.按词频大小排序

点击查看代码

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

##### 6.结果写文件

点击查看代码

f1= open("test01.txt", "w",encoding='UTF-8')
f1.write(str(items))
print("文件写入成功")

##### 7.运行结果