allinux commented on code in PR #857:
URL: https://github.com/apache/datafusion-python/pull/857#discussion_r1748041401


##########
python/datafusion/dataframe.py:
##########
@@ -409,37 +409,62 @@ def except_all(self, other: DataFrame) -> DataFrame:
         """
         return DataFrame(self.df.except_all(other.df))
 
-    def write_csv(self, path: str | pathlib.Path, with_header: bool = False) 
-> None:
+    def write_csv(
+        self, 
+        path: str | pathlib.Path, 
+        with_header: bool = False,
+        write_options_overwrite: bool = False,
+        write_options_single_file_output: bool = False,
+        write_options_partition_by: List = [],

Review Comment:
   Edit has been completed. Thank you for the review.



##########
python/datafusion/dataframe.py:
##########
@@ -409,37 +409,62 @@ def except_all(self, other: DataFrame) -> DataFrame:
         """
         return DataFrame(self.df.except_all(other.df))
 
-    def write_csv(self, path: str | pathlib.Path, with_header: bool = False) 
-> None:
+    def write_csv(
+        self, 
+        path: str | pathlib.Path, 
+        with_header: bool = False,
+        write_options_overwrite: bool = False,
+        write_options_single_file_output: bool = False,
+        write_options_partition_by: List = [],
+    ) -> None:
         """Execute the :py:class:`DataFrame`  and write the results to a CSV 
file.
 
         Args:
             path: Path of the CSV file to write.
             with_header: If true, output the CSV header row.
+            write_options_overwrite: Controls if existing data should be 
overwritten
+            write_options_single_file_output: Controls if all partitions 
should be coalesced into a single output file. Generally will have slower 
performance when set to true.
+            write_options_partition_by: Sets which columns should be used for 
hive-style partitioned writes by name. Can be set to empty vec![] for 
non-partitioned writes.
         """
-        self.df.write_csv(str(path), with_header)
+        self.df.write_csv(str(path), with_header, write_options_overwrite, 
write_options_single_file_output, write_options_partition_by)
 
     def write_parquet(
         self,
         path: str | pathlib.Path,
         compression: str = "uncompressed",
         compression_level: int | None = None,
+        write_options_overwrite: bool = False,
+        write_options_single_file_output: bool = False,
+        write_options_partition_by: List = [],

Review Comment:
   Edit has been completed. Thank you for the review.



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