如何在pyspark中通过删除列中的字符自动批量重命名

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

spark = SparkSession.builder.getOrCreate()

df = spark.read.csv("path/to/dataset.csv", header=True, inferSchema=True)

def rename_columns(df, old_chars, new_chars):
    for old_char, new_char in zip(old_chars, new_chars):
        df = df.withColumnRenamed(old_char, new_char)
    return df

old_chars = ["old_char1", "old_char2", ...]
new_chars = ["new_char1", "new_char2", ...]
df = rename_columns(df, old_chars, new_chars)