如何将numpy数组转换为pyspark dataframe？

import numpy as np
from pyspark.sql import SparkSession

spark = SparkSession.builder.getOrCreate()

numpy_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

df = spark.createDataFrame(numpy_array.tolist())

df.show()

import numpy as np
from pyspark.sql import SparkSession

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

# 创建numpy数组
numpy_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 将numpy数组转换为pyspark dataframe
df = spark.createDataFrame(numpy_array.tolist())

# 打印dataframe内容
df.show()