Napisz Pyspark DataFrame do CSV
# In this example, change the field column_as_array to column_as_string before saving.
from pyspark.sql.functions import udf
from pyspark.sql.types import StringType
def array_to_string(my_list):
return '[' + ','.join([str(elem) for elem in my_list]) + ']'
array_to_string_udf = udf(array_to_string, StringType())
df = df.withColumn('column_as_str', array_to_string_udf(df["column_as_array"]))
# Then you can drop the old column (array type) before saving.
df.drop("column_as_array").write.csv(...)
Scarlet Macaw