딕셔너리 추가하기

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from numpy import arrayfrom pyspark.mllib.clustering import BisectingKMeans, BisectingKMeansModelfrom pyspark import SparkContext, SparkConf conf &#61; SparkConf().setMaster(&#34;local&#34;).setAppName(&#34;test1&#34;)sc &#61; SparkContext(conf&#61;conf) # Load and parse the datadata &#61; sc.textFile(&#34;/loc-checkin-sample.txt&#34;)parsedData &#61; data.map(lambda line: line.split('	'))trainData1 &#61; parsedData.map(lambda line: [line[2], line[3]])trainData2 &#61; trainData1.map(lambda line: [float(line[0]), float(line[1])]) # Build the model (cluster the data)model &#61; BisectingKMeans.train(trainData2, 10, maxIterations&#61;5) # Evaluate clusteringcost &#61; model.computeCost(trainData2)print(&#34;Bisecting K-means Cost &#61; &#34; &#43; str(cost)) print(&#34;Number of Clusters: &#34;)print(model.k)centers &#61; model.clusterCentersprint(&#34;Cluster Centers: &#34;)for center in centers: print(center) pdata &#61; trainData2.take(1000)num &#61; 1k &#61; [] //리스트 말고 딕셔너리를 선언할것!while num <&#61; 1000: print(num, end&#61;' ') print(pdata[num]) result &#61; model.predict(pdata[num]) print(result) k.append(result) num &#43;&#61; 1print(------------------result-----------------------)count &#61; Counter(k)for key in count: print key, count[key]중간에 k&#61;[]부분에서 리스트말고 딕셔너리를 선언해서 1000개의 키,값을 저장해야되는데 어떻게 하는지 모르겠습니다..ㅠㅠ 아시는분은 알려주세요

딕셔너리 추가하기

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