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How to use 'for loop in pyspark' in Python

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Azure/aztk
6def main():
7    '''Program entry point'''
8
9    #Intialize a spark context
10    with pyspark.SparkContext("local", "PySparkWordCount") as sc:
11        #Get a RDD containing lines from this script file  
12        lines = sc.textFile(__file__)
13        #Split each line into words and assign a frequency of 1 to each word
14        words = lines.flatMap(lambda line: line.split(" ")).map(lambda word: (word, 1))
15        #count the frequency for words
16        counts = words.reduceByKey(operator.add)
17        #Sort the counts in descending order based on the word frequency
18        sorted_counts =  counts.sortBy(lambda x: x[1], False)
19        #Get an iterator over the counts to print a word and its frequency
20        for word,count in sorted_counts.toLocalIterator():
21            print(u"{} --> {}".format(word, count))

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