pyspark.sql.DataFrame与pandas.DataFrame之间的相互转换实例_Python

代码如下，步骤流程在代码注释中可见：

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									# -*- coding: utf-8 -*-

									import pandas as pd

									from pyspark.sql import SparkSession

									from pyspark.sql import SQLContext

									from pyspark import SparkContext

									#初始化数据

									#初始化pandas DataFrame

									df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], index=['row1', 'row2'], columns=['c1', 'c2', 'c3'])

									#打印数据

									print df

									#初始化spark DataFrame

									sc = SparkContext()

									if __name__ == "__main__":

									 spark = SparkSession\

									  .builder\

									  .appName("testDataFrame")\

									  .getOrCreate()

									sentenceData = spark.createDataFrame([

									 (0.0, "I like Spark"),

									 (1.0, "Pandas is useful"),

									 (2.0, "They are coded by Python ")

									], ["label", "sentence"])

									#显示数据

									sentenceData.select("label").show()

									#spark.DataFrame 转换成 pandas.DataFrame

									sqlContest = SQLContext(sc)

									spark_df = sqlContest.createDataFrame(df)

									#显示数据

									spark_df.select("c1").show()

									# pandas.DataFrame 转换成 spark.DataFrame

									pandas_df = sentenceData.toPandas()

									#打印数据

									print pandas_df