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Posted to commits@spark.apache.org by do...@apache.org on 2025/09/16 19:19:21 UTC
(spark) branch master updated: [MINOR][PYTHON][DOCS] Correct the examples of `toPandas` and `toArrow`
This is an automated email from the ASF dual-hosted git repository.
dongjoon pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new 56fa1e906583 [MINOR][PYTHON][DOCS] Correct the examples of `toPandas` and `toArrow`
56fa1e906583 is described below
commit 56fa1e90658371b47d5da44c838bbf5c70b77f4f
Author: Ruifeng Zheng <ru...@apache.org>
AuthorDate: Tue Sep 16 12:19:08 2025 -0700
[MINOR][PYTHON][DOCS] Correct the examples of `toPandas` and `toArrow`
### What changes were proposed in this pull request?
Correct the examples of `toPandas` and `toArrow`
### Why are the changes needed?
they are not copy-pastable, and the example of `toArrow` is not correct
### Does this PR introduce _any_ user-facing change?
doc-change
### How was this patch tested?
manually check, the doc-tests are skipped due to pandas/pyarrow dependency
### Was this patch authored or co-authored using generative AI tooling?
no
Closes #52353 from zhengruifeng/fix_example_toxxx.
Authored-by: Ruifeng Zheng <ru...@apache.org>
Signed-off-by: Dongjoon Hyun <do...@apache.org>
---
python/pyspark/sql/dataframe.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 675d972e3ef5..fca83c165b1d 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -6510,13 +6510,14 @@ class DataFrame:
Examples
--------
+ >>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
>>> df.toArrow() # doctest: +SKIP
pyarrow.Table
age: int64
name: string
----
- age: [[2,5]]
- name: [["Alice","Bob"]]
+ age: [[2],[5]]
+ name: [["Alice"],["Bob"]]
"""
...
@@ -6540,6 +6541,7 @@ class DataFrame:
Examples
--------
+ >>> df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
>>> df.toPandas() # doctest: +SKIP
age name
0 2 Alice
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