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new 71282402ef04 [SPARK-52736][PS] Fix typos 'moveing' in
pyspark/pandas/generic.py
71282402ef04 is described below
commit 71282402ef04e89c662f8283004eb1a53ddbb1df
Author: Peter Nguyen <petern0...@gmail.com>
AuthorDate: Thu Jul 10 08:05:26 2025 +0900
[SPARK-52736][PS] Fix typos 'moveing' in pyspark/pandas/generic.py
### What changes were proposed in this pull request?
Fix typos in docstrings
### Why are the changes needed?
Fix typos
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
N/A
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #51426 from petern48/petern48-typo-moveing.
Authored-by: Peter Nguyen <petern0...@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls...@apache.org>
---
python/pyspark/pandas/generic.py | 14 +++++++-------
1 file changed, 7 insertions(+), 7 deletions(-)
diff --git a/python/pyspark/pandas/generic.py b/python/pyspark/pandas/generic.py
index 1244ee2d88aa..dd9cc311f274 100644
--- a/python/pyspark/pandas/generic.py
+++ b/python/pyspark/pandas/generic.py
@@ -156,7 +156,7 @@ class Frame(object, metaclass=ABCMeta):
Returns a DataFrame or Series of the same size containing the
cumulative minimum.
.. note:: the current implementation of cummin uses Spark's Window
without
- specifying partition specification. This leads to moveing all data
into a
+ specifying partition specification. This leads to moving all data
into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -216,7 +216,7 @@ class Frame(object, metaclass=ABCMeta):
Returns a DataFrame or Series of the same size containing the
cumulative maximum.
.. note:: the current implementation of cummax uses Spark's Window
without
- specifying partition specification. This leads to moveing all data
into a
+ specifying partition specification. This leads to moving all data
into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -277,7 +277,7 @@ class Frame(object, metaclass=ABCMeta):
Returns a DataFrame or Series of the same size containing the
cumulative sum.
.. note:: the current implementation of cumsum uses Spark's Window
without
- specifying partition specification. This leads to moveing all data
into a
+ specifying partition specification. This leads to moving all data
into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -338,7 +338,7 @@ class Frame(object, metaclass=ABCMeta):
Returns a DataFrame or Series of the same size containing the
cumulative product.
.. note:: the current implementation of cumprod uses Spark's Window
without
- specifying partition specification. This leads to moveing all data
into a
+ specifying partition specification. This leads to moving all data
into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -3330,7 +3330,7 @@ class Frame(object, metaclass=ABCMeta):
Synonym for `DataFrame.fillna()` or `Series.fillna()` with
``method=`bfill```.
.. note:: the current implementation of 'bfill' uses Spark's Window
- without specifying partition specification. This leads to moveing
all data into a
+ without specifying partition specification. This leads to moving
all data into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -3409,7 +3409,7 @@ class Frame(object, metaclass=ABCMeta):
Synonym for `DataFrame.fillna()` or `Series.fillna()` with
``method=`ffill```.
.. note:: the current implementation of 'ffill' uses Spark's Window
- without specifying partition specification. This leads to moveing
all data into a
+ without specifying partition specification. This leads to moving
all data into a
single a partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
@@ -3489,7 +3489,7 @@ class Frame(object, metaclass=ABCMeta):
Fill NaN values using an interpolation method.
.. note:: the current implementation of interpolate uses Spark's
Window without
- specifying partition specification. This leads to moveing all data
into a
+ specifying partition specification. This leads to moving all data
into a
single partition in a single machine and could cause serious
performance degradation. Avoid this method with very large
datasets.
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