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new d31718d6c70 [MINOR][CONNECT][PYTHON] Typo fixes
d31718d6c70 is described below
commit d31718d6c70fd7c7c49bd576e1afb044475f7882
Author: panbingkun <pbk1...@gmail.com>
AuthorDate: Sun Apr 16 08:29:37 2023 +0800
[MINOR][CONNECT][PYTHON] Typo fixes
### What changes were proposed in this pull request?
The pr aims to fix typos, include:
- StrageLevel -> StorageLevel
- DateFrame -> DataFrame
### Why are the changes needed?
Fix typos
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Pass GA.
Closes #40803 from panbingkun/minor_typo.
Authored-by: panbingkun <pbk1...@gmail.com>
Signed-off-by: Yuming Wang <yumw...@ebay.com>
---
.../apache/spark/sql/connect/common/StorageLevelProtoConverter.scala | 2 +-
python/pyspark/sql/tests/test_arrow.py | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git
a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/StorageLevelProtoConverter.scala
b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/StorageLevelProtoConverter.scala
index 7bf273843b5..11ac9595ff4 100644
---
a/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/StorageLevelProtoConverter.scala
+++
b/connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/StorageLevelProtoConverter.scala
@@ -21,7 +21,7 @@ import org.apache.spark.connect.proto
import org.apache.spark.storage.StorageLevel
/**
- * Helper class for conversions between [[StrageLevel]] and
[[proto.StorageLevel]].
+ * Helper class for conversions between [[StorageLevel]] and
[[proto.StorageLevel]].
*/
object StorageLevelProtoConverter {
def toStorageLevel(sl: proto.StorageLevel): StorageLevel = {
diff --git a/python/pyspark/sql/tests/test_arrow.py
b/python/pyspark/sql/tests/test_arrow.py
index 04aaa2b1c32..1c96273a22f 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -809,7 +809,7 @@ class ArrowTestsMixin:
for case in cases:
run_test(*case)
- def test_createDateFrame_with_category_type(self):
+ def test_createDataFrame_with_category_type(self):
pdf = pd.DataFrame({"A": ["a", "b", "c", "a"]})
pdf["B"] = pdf["A"].astype("category")
category_first_element = dict(enumerate(pdf["B"].cat.categories))[0]
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