DOC FIX: Move unreleased changelog entries to the correct section

CHANGELOG.md

@@ -8,16 +8,38 @@
 
 - Added distributed tracing using open telemetry APIs for table stored procedure function in `DataFrame`:
   - _execute_and_get_query_id
-- Allow `df.plot()` and `series.plot()` to be called, materializing the data into the local client
 
 ### 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`
 
 #### 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`.
+
+#### 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`.
+
 
 ## 1.19.0 (2024-06-25)
 
@@ -80,42 +102,22 @@
 - 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`.
 
 #### 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`.
 
 ## 1.18.0 (2024-05-28)