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new 03531a20ec2 typo: StogeLevel -> StorageLevel
03531a20ec2 is described below
commit 03531a20ec26871b5da586f10a19d7dd7549ba7d
Author: Siarhei Fedartsou <siarhei.fedart...@gmail.com>
AuthorDate: Sat Apr 1 14:23:51 2023 -0500
typo: StogeLevel -> StorageLevel
### What changes were proposed in this pull request?
Just a typo fix.
### Why are the changes needed?
Just to make things cleaner.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
It seems no testing required.
Closes #39880 from SiarheiFedartsou/fix/type-stogelevel-storagelevel.
Authored-by: Siarhei Fedartsou <siarhei.fedart...@gmail.com>
Signed-off-by: Sean Owen <sro...@gmail.com>
---
python/pyspark/pandas/spark/accessors.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/python/pyspark/pandas/spark/accessors.py
b/python/pyspark/pandas/spark/accessors.py
index 2e64469747b..4dd4da4f846 100644
--- a/python/pyspark/pandas/spark/accessors.py
+++ b/python/pyspark/pandas/spark/accessors.py
@@ -564,7 +564,7 @@ class SparkFrameMethods:
) -> "CachedDataFrame":
"""
Yields and caches the current DataFrame with a specific StorageLevel.
- If a StogeLevel is not given, the `MEMORY_AND_DISK` level is used by
default like PySpark.
+ If a StorageLevel is not given, the `MEMORY_AND_DISK` level is used by
default like PySpark.
The pandas-on-Spark DataFrame is yielded as a protected resource and
its corresponding
data is cached which gets uncached after execution goes off the
context.
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