cast from pyspark.sql.types import DoubleType # 初始化SparkSession spark = SparkSession.builder.appName("CheckNumericColumn").getOrCreate() # 创建一个示例DataFrame data = [("123",), ("456",), ("abc",), ("789",)] columns = ["value"] df = spark.createDataFrame(data, columns) # ...
import pyspark.ml.feature as ft # Casting the column to an IntegerType births = births \ .withColumn('BIRTH_PLACE_INT', births['BIRTH_PLACE'] \ .cast(typ.IntegerType())) # Using the OneHotEncoder to encode encoder = ft.OneHotEncoder( inputCol='BIRTH_PLACE_INT', outputCol='BIRTH_PLA...
from pyspark.sql.types import DoubleType,IntegerType changedTypedf = dataframe.withColumn("label", dataframe["show"].cast(DoubleType())) 或者 changedTypedf = dataframe.withColumn("label", dataframe["show"].cast("double")) 如果改变原有列的类型 toDoublefunc = UserDefinedFunction(lambda x: float...
要将age列的数据类型从 integer 改为 double,我们可以使用 Spark 中的cast方法。我们需要从pyspark.types:导入DoubleType [In]:frompyspark.sql.typesimportStringType,DoubleType [In]: df.withColumn('age_double',df['age'].cast(DoubleType())).show(10,False) [Out]: 因此,上面的命令创建了一个新列(ag...
from pyspark.sql.typesimportStructType,StructField,StringType,IntegerType spark=SparkSession.builder.master("local[1]")\.appName('SparkByExamples.com')\.getOrCreate()data=[("James","","Smith","36636","M",3000),("Michael","Rose","","40288","M",4000),("Robert","","Williams","4211...
cast修改列数据类型 frompyspark.sql.typesimportIntegerType# 下面两种修改方式等价df = df.withColumn("height", df["height"].cast(IntegerType())) df = df.withColumn("weight", df.weight.cast('int'))print(df.dtypes) sort排序 (1)单字段排序 ...
StructField("salary",IntegerType(),True)\])df=spark.createDataFrame(data=data,schema=schema)df.printSchema()df.show(truncate=False) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21.
问pyspark线性回归模型给出错误此列名必须是数字类型，但实际上是字符串类型EN相关是随机理论的基础。田径...
# change column data type data.withColumn("oldColumn", data.oldColumn.cast("integer")) (2)条件筛选数据 # filter data by pass a string temp1 = data.filter("col > 1000") # filter data by pass a column of boolean value temp2 = data.filter(data.col > 1000) ...
How to change a dataframe column from String type to Double type in PySpark? 解决方法: # 示例 from pyspark.sql.types import DoubleType changedTypedf = joindf.withColumn("label", joindf["show"].cast(DoubleType())) # or short string ...