DOC FIX: Move unreleased changelog entries to the correct section (#1884

)

CHANGELOG.md

@@ -12,63 +12,90 @@
 - Allow `df.plot()` and `series.plot()` to be called, materializing the data into the local client
 - Improves performance for binary column expression and df._in by avoiding unnecessary cast for numeric values. This optimization can be enabled through session.eliminate_numeric_sql_value_cast_enabled = True.
 - Improved error message for `write_pandas` when target table does not exists and `auto_create_table=False`.
+- Added open telemetry tracing on UDxF functions in snowpark.
+- Added open telemetry tracing on stored procedure registration in snowpark.
 
 #### Bug Fixes
-
+- Fixed a bug regarding precision loss when converting to Snowpark pandas `DataFrame` or `Series` with `dtype=np.uint64`.
 - Fixed a bug where sql generated for `lag(x, 0)` was incorrect and failed with error message `argument 1 to function LAG needs to be constant, found 'SYSTEM$NULL_TO_FIXED(null)'`.
 
-### Snowpark pandas API Updates
+### Snowpark Local Testing Updates
 
 #### New Features
 
+- Added support for the following APIs:
+  - snowflake.snowpark.functions
+    - random
+- Added new parameters to `patch` function when registering a mocked function:
+  - `distinct` allows an alternate function to be specified for when a sql function should be distinct.
+  - `pass_column_index` passes a named parameter `column_index` to the mocked function that contains the pandas.Index for the input data.
+  - `pass_row_index` passes a named parameter `row_index` to the mocked function that is the 0 indexed row number the function is currently operating on.
+  - `pass_input_data` passes a named parameter `input_data` to the mocked function that contains the entire input dataframe for the current expression.
+  - Added support for the `column_order` parameter to method `DataFrameWriter.save_as_table`.
+
+
+#### Bug Fixes
+- Fixed a bug that caused DecimalType columns to be incorrectly truncated to integer precision when used in BinaryExpressions.
+
+### Snowpark pandas API Updates
+
+#### New Features
+- Added support for `DataFrameGroupBy.all`, `SeriesGroupBy.all`, `DataFrameGroupBy.any`, and `SeriesGroupBy.any`.
+- Added support for `DataFrame.nlargest`, `DataFrame.nsmallest`, `Series.nlargest` and `Series.nsmallest`.
+- Added support for `replace` and `frac > 1` in `DataFrame.sample` and `Series.sample`.
+- Added support for `read_excel` (Uses local pandas for processing)
+- Added support for `Series.at`, `Series.iat`, `DataFrame.at`, and `DataFrame.iat`.
+- Added support for `Series.dt.isocalendar`.
+- Added support for `Series.case_when` except when condition or replacement is callable.
+- Added documentation pages for `Index` and its APIs.
+- Added support for `DataFrame.assign`.
+- Added support for `DataFrame.stack`.
+- Added support for `DataFrame.pivot` and `pd.pivot`.
+- Added support for `DataFrame.to_csv` and `Series.to_csv`.
 - Added partial support for `Series.str.translate` where the values in the `table` are single-codepoint strings.
 - Added support for `DataFrame.corr`.
+- Allow `df.plot()` and `series.plot()` to be called, materializing the data into the local client
+- Added support for `DataFrameGroupBy` and `SeriesGroupBy` aggregations `first` and `last`
+- Added support for `DataFrameGroupBy.get_group`.
 - Added support for `limit` parameter when `method` parameter is used in `fillna`.
+- Added partial support for `Series.str.translate` where the values in the `table` are single-codepoint strings.
+- Added support for `DataFrame.corr`.
 - Added support for `DataFrame.equals` and `Series.equals`.
 - Added support for `DataFrame.reindex` and `Series.reindex`.
 
 #### Bug Fixes
 - Fixed an issue when using np.where and df.where when the scalar 'other' is the literal 0.
+- Fixed a bug in `DataFrame` and `Series` with `dtype=np.uint64` resulting in precision errors
+- Fixed bug where `values` is set to `index` when `index` and `columns` contain all columns in DataFrame during `pivot_table`.
 
-### Snowpark Local Testing Updates
-
-### New Features
+#### Improvements
+- Added support for `Index.copy()`
+- Added support for Index APIs: `dtype`, `values`, `item()`, `tolist()`, `to_series()` and `to_frame()`
+- Expand support for DataFrames with no rows in `pd.pivot_table` and `DataFrame.pivot_table`.
+- Added support for `inplace` parameter in `DataFrame.sort_index` and `Series.sort_index`.
 
-- Added support for the `column_order` parameter to method `DataFrameWriter.save_as_table`.
 
 ## 1.19.0 (2024-06-25)
 
 ### Snowpark Python API Updates
 
-#### Improvements
-
-- Added open telemetry tracing on UDxF functions in snowpark.
-- Added open telemetry tracing on stored procedure registration in snowpark.
-
 #### New Features
 
 - Added support for `to_boolean` function.
+- Added documentation pages for Index and its APIs.
 
 #### Bug Fixes
 
 - Fixed a bug where python stored procedure with table return type fails when run in a task.
 - Fixed a bug where df.dropna fails due to `RecursionError: maximum recursion depth exceeded` when the DataFrame has more than 500 columns.
 - Fixed a bug where `AsyncJob.result("no_result")` doesn't wait for the query to finish execution.
-- Fixed a bug regarding precision loss when converting to Snowpark pandas `DataFrame` or `Series` with `dtype=np.uint64`.
+
 
 ### Snowpark Local Testing Updates
 
 #### New Features
 
 - Added support for the `strict` parameter when registering UDFs and Stored Procedures.
-- Added support for the following APIs:
-  - snowflake.snowpark.functions
-    - random
-- Added new parameters to `patch` function when registering a mocked function:
-  - `distinct` allows an alternate function to be specified for when a sql function should be distinct.
-  - `pass_column_index` passes a named parameter `column_index` to the mocked function that contains the pandas.Index for the input data.
-  - `pass_row_index` passes a named parameter `row_index` to the mocked function that is the 0 indexed row number the function is currently operating on.
-  - `pass_input_data` passes a named parameter `input_data` to the mocked function that contains the entire input dataframe for the current expression.
 
 #### Bug Fixes
 
@@ -78,7 +105,6 @@
 - Fixed a bug in mock implementation of `to_char` that raises `IndexError` when incoming column has nonconsecutive row index.
 - Fixed a bug in handling of `CaseExpr` expressions that raises `IndexError` when incoming column has nonconsecutive row index.
 - Fixed a bug in implementation of `Column.like` that raises `IndexError` when incoming column has nonconsecutive row index.
-- Fixed a bug that caused DecimalType columns to be incorrectly truncated to integer precision when used in BinaryExoressions.
 
 #### Improvements
 
@@ -96,46 +122,22 @@
 - Added support for `DataFrameGroupBy.size` and `SeriesGroupBy.size`.
 - Added support for `DataFrame.expanding` and `Series.expanding` for aggregations `count`, `sum`, `min`, `max`, `mean`, `std`, `var`, and `sem` with `axis=0`.
 - Added support for `DataFrame.rolling` and `Series.rolling` for aggregation `count` with `axis=0`.
-- Added support for `DataFrameGroupBy.get_group`.
-- Added support for `DataFrameGroupBy` and `SeriesGroupBy` aggregations `first` and `last`
 - Added support for `Series.str.match`.
 - Added support for `DataFrame.resample` and `Series.resample` for aggregations `size`, `first`, and `last`.
-- Added support for `DataFrameGroupBy.all`, `SeriesGroupBy.all`, `DataFrameGroupBy.any`, and `SeriesGroupBy.any`.
-- Added support for `DataFrame.nlargest`, `DataFrame.nsmallest`, `Series.nlargest` and `Series.nsmallest`.
-- Added support for `replace` and `frac > 1` in `DataFrame.sample` and `Series.sample`.
-- Added support for `read_excel` (Uses local pandas for processing)
-- Added support for `Series.at`, `Series.iat`, `DataFrame.at`, and `DataFrame.iat`.
-- Added support for `Series.dt.isocalendar`.
-- Added support for `Series.case_when` except when condition or replacement is callable.
-- Added documentation pages for `Index` and its APIs.
-- Added support for `DataFrame.assign`.
-- Added support for `DataFrame.stack`.
-- Added support for `DataFrame.pivot` and `pd.pivot`.
-- Added support for `DataFrame.to_csv` and `Series.to_csv`.
 
 #### Bug Fixes
 
 - Fixed a bug that causes output of GroupBy.aggregate's columns to be ordered incorrectly.
 - Fixed a bug where `DataFrame.describe` on a frame with duplicate columns of differing dtypes could cause an error or incorrect results.
 - Fixed a bug in `DataFrame.rolling` and `Series.rolling` so `window=0` now throws `NotImplementedError` instead of `ValueError`
-- Fixed a bug in `DataFrame` and `Series` with `dtype=np.uint64` resulting in precision errors
-- Fixed bug where `values` is set to `index` when `index` and `columns` contain all columns in DataFrame during `pivot_table`.
-- Fixed bug where `value_counts` did not order the result correctly when `sort=True`.
 
 #### Improvements
 
 - Added support for named aggregations in `DataFrame.aggregate` and `Series.aggregate` with `axis=0`.
 - `pd.read_csv` reads using the native pandas CSV parser, then uploads data to snowflake using parquet. This enables most of the parameters supported by `read_csv` including date parsing and numeric conversions. Uploading via parquet is roughly twice as fast as uploading via CSV.
 - Initial work to support an `pd.Index` directly in Snowpark pandas. Support for `pd.Index` as a first-class component of Snowpark pandas is coming soon.
 - Added a lazy index constructor and support for `len`, `shape`, `size`, `empty`, `to_pandas()` and `names`. For `df.index`, Snowpark pandas creates a lazy index object.
-- For `df.index`, Snowpark pandas creates a lazy index object.
 - For `df.columns`, Snowpark pandas supports a non-lazy version of an `Index` since the data is already stored locally.
-- Added support for `Index.copy`.
-- Added support for Index APIs: `dtype`, `values`, `item`, `tolist`, `to_series` and `to_frame`.
-- Expand support for DataFrames with no rows in `pd.pivot_table` and `DataFrame.pivot_table`.
-- Added support for `inplace` parameter in `DataFrame.sort_index` and `Series.sort_index`.
-- Added support for `Index.unique` and `Index.nunique`.
-- Added support for `Index.astype`.
 
 ## 1.18.0 (2024-05-28)