2.安装Spark与Python练习

一、安装Spark

验证截图：

 

 （Spark运行成功）

 

 

（基本操作以及简单运算）

二、Python编程练习：英文文本的词频统计

 

源码：

path='/home/hadoop/wc/f1.txt'
with open(path) as f:
    #text read and down
    text=f.read()
    text = text.lower()
    #replace marks
    for ch in '!"@#$%^&*()+,-./:;<=>?@[\\]_`~{|}':
        text=text.replace(ch," ")
    
    
words = text.split()
#set non-count words
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)
afterwords=[]

#count words
for i in range(lenwords):
    z=1
    for j in range(len(stop_words)):
    
        #avoid non-count words
        if words[i]==stop_words[j]:
            continue
        else:
            if z==len(stop_words):
                afterwords.append(words[i])
                break
            z=z+1
            continue
            
#get freq
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

运行结果：