从 python 输出中删除字符

Question

I did alot of work to remove the characters from the spark python output like uu' u" [()/'" which are creating problem for me to do the further work. So please put a focus on the same .

I have the input like,

(u"(u'[25145,   12345678'", 0.0)
(u"(u'[25146,   25487963'", 43.0) when i applied code to summing out the result. this gives me the output like
(u'(u"(u\'[54879,    5125478\'"', 0.0)
(u"(u'[25145,   25145879'", 11.0)
(u'(u"(u\'[56897,    22548793\'"', 0.0) so i want to remove all the character like (u'(u"(u\'["'') 

I want output like

54879,5125478,0.0

25145,25145879,11.0

the code is i tried is

from pyspark import SparkContext
import os
import sys

sc = SparkContext("local", "aggregate")

file1 = sc.textFile("hdfs://localhost:9000/data/first/part-00000")
file2 = sc.textFile("hdfs://localhost:9000/data/second/part-00000")

file3 = file1.union(file2).coalesce(1).map(lambda line: line.split(','))

result = file3.map(lambda x: ((x[0]+', '+x[1],float(x[2][:-1])))).reduceByKey(lambda a,b:a+b).coalesce(1)

result.saveAsTextFile("hdfs://localhost:9000/Test1")

Answer 1

我认为您唯一的问题是您必须在将结果保存到文件之前重新格式化结果，例如：

result.map(lambda x:x[0]+','+str(x[1])).saveAsTextFile("hdfs://localhost:9000/Test1")