[英]Iterate through each column and find the max length
我想從 pyspark dataframe 的每一列中獲取最大長度。
以下是示例 dataframe:
from pyspark.sql.types import StructType,StructField, StringType, IntegerType
data2 = [("James","","Smith","36636","M",3000),
("Michael","Rose","","40288","M",4000),
("Robert","","Williams","42114","M",4000),
("Maria","Anne","Jones","39192","F",4000),
("Jen","Mary","Brown","","F",-1)
]
schema = StructType([ \
StructField("firstname",StringType(),True), \
StructField("middlename",StringType(),True), \
StructField("lastname",StringType(),True), \
StructField("id", StringType(), True), \
StructField("gender", StringType(), True), \
StructField("salary", IntegerType(), True) \
])
df = spark.createDataFrame(data=data2,schema=schema)
df.show(truncate=False)
我嘗試實現Scala中提供的解決方案,但無法轉換。
解決方案Scala
我是 Python 的新手,你能幫幫我嗎?
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