[SNOW-1320248]: Fix inplace=True on Series objects derived from Series. (#2307)

<!---
Please answer these questions before creating your pull request. Thanks!
--->

1. Which Jira issue is this PR addressing? Make sure that there is an
accompanying issue to your PR.

   <!---
   In this section, please add a Snowflake Jira issue number.
   
Note that if a corresponding GitHub issue exists, you should still
include
   the Snowflake Jira issue number. For example, for GitHub issue
#1400, you should
   add "SNOW-1335071" here.
    --->

   Fixes SNOW-1320248

2. Fill out the following pre-review checklist:

- [ ] I am adding a new automated test(s) to verify correctness of my
new code
- [ ] If this test skips Local Testing mode, I'm requesting review from
@snowflakedb/local-testing
   - [ ] I am adding new logging messages
   - [ ] I am adding a new telemetry message
   - [ ] I am adding new credentials
   - [ ] I am adding a new dependency
- [ ] If this is a new feature/behavior, I'm adding the Local Testing
parity changes.

3. Please describe how your code solves the related issue.

This PR fixes the inplace argument for Series functions where the Series
is derived from another Series object (e.g. series = series.iloc[:4];
series.fillna(14, inplace=True))

---------

Co-authored-by: Hazem Elmeleegy <[email protected]>

Author: sfc-gh-rdurrani

CHANGELOG.md

@@ -18,7 +18,7 @@
 
 - Fixed a bug where an `Index` object created from a `Series`/`DataFrame` incorrectly updates the `Series`/`DataFrame`'s index name after an inplace update has been applied to the original `Series`/`DataFrame`.
 - Suppressed an unhelpful `SettingWithCopyWarning` that sometimes appeared when printing `Timedelta` columns.
-
+- Fixed `inplace` argument for `Series` objects derived from other `Series` objects.
 
 ## 1.22.1 (2024-09-11)
 This is a re-release of 1.22.0. Please refer to the 1.22.0 release notes for detailed release content.

src/snowflake/snowpark/modin/plugin/extensions/series_overrides.py

@@ -392,6 +392,25 @@ def __init__(
         self.name = name
 
 
+@register_series_accessor("_update_inplace")
+def _update_inplace(self, new_query_compiler) -> None:
+    """
+    Update the current Series in-place using `new_query_compiler`.
+
+    Parameters
+    ----------
+    new_query_compiler : BaseQueryCompiler
+        QueryCompiler to use to manage the data.
+    """
+    super(Series, self)._update_inplace(new_query_compiler=new_query_compiler)
+    # Propagate changes back to parent so that column in dataframe had the same contents
+    if self._parent is not None:
+        if self._parent_axis == 1 and isinstance(self._parent, DataFrame):
+            self._parent[self.name] = self
+        else:
+            self._parent.loc[self.index] = self
+
+
 # Since Snowpark pandas leaves all data on the warehouse, memory_usage's report of local memory
 # usage isn't meaningful and is set to always return 0.
 @_inherit_docstrings(native_pd.Series.memory_usage, apilink="pandas.Series")

tests/integ/modin/series/test_fillna.py

@@ -3,6 +3,8 @@
 #
 
 
+import string
+
 import modin.pandas as pd
 import numpy as np
 import pandas as native_pd
@@ -201,3 +203,17 @@ def inplace_fillna(df):
         native_pd.DataFrame([[1, 2, 3], [4, None, 6]], columns=list("ABC")),
         inplace_fillna,
     )
+
+
+@pytest.mark.parametrize("index", [list(range(8)), list(string.ascii_lowercase[:8])])
+@sql_count_checker(query_count=1, join_count=4)
+def test_inplace_fillna_from_series(index):
+    def inplace_fillna(series):
+        series.iloc[:4].fillna(14, inplace=True)
+        return series
+
+    eval_snowpark_pandas_result(
+        pd.Series([np.nan, 1, 2, 3, 4, 5, 6, 7], index=index),
+        native_pd.Series([np.nan, 1, 2, 3, 4, 5, 6, 7], index=index),
+        inplace_fillna,
+    )