>>> df.printSchema() root |-- age: integer (nullable = true) |-- name: string (nullable = true)相关用法 Python pyspark DataFrame.prod用法及代码示例 Python pyspark DataFrame.product用法及代码示例 Python pyspark DataFrame.plot.bar用法及代码示例 Python pyspark DataFrame.pandas_on_spark.apply_ba...
however, sometimes you may be required to convert it into a String or to a JSON file. In this article, I will explain how to convert printSchema() result to a String and convert the PySpark DataFrame schema to a JSON.
from pyspark.sql import SparkSession spark = SparkSession.builder.appName("example").getOrCreate() # Sample DataFrames with "Id" column df1 = spark.createDataFrame([(11, "b"), (15, "b")], ["Id", "col1"]) df2 = spark.createDataFrame([(11, "c"), (15, "d")], ["Id", "...