如何消除PySpark DataFrame列中条目的前几个字符？

from pyspark.sql.functions import col, expr

df = df.withColumn('new_column', expr("substr(column_name, start_position, length)"))

df = df.drop('column_name')

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, expr

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 创建示例DataFrame
data = [('1234567890',), ('abcdefghij',)]
df = spark.createDataFrame(data, ['column_name'])

# 消除前3个字符
df = df.withColumn('new_column', expr("substr(column_name, 4, length(column_name))"))

# 删除原始列
df = df.drop('column_name')

# 显示结果
df.show()