Release

1.33.0 (2025-06-19)

Snowpark Python API Updates

New Features

• Added support for MySQL in DataFrameWriter.dbapi (PrPr) for both Parquet and UDTF-based ingestion.
• Added support for PostgreSQL in DataFrameReader.dbapi (PrPr) for both Parquet and UDTF-based ingestion.
• Added support for Databricks in DataFrameWriter.dbapi (PrPr) for UDTF-based ingestion.
• Added support to DataFrameReader to enable use of PATTERN when reading files with INFER_SCHEMA enabled.
• Added support for the following AI-powered functions in functions.py:
  • ai_complete
  • ai_similarity
  • ai_summarize_agg (originally summarize_agg)
  • different config options for ai_classify
• Added support for more options when reading XML files with a row tag using rowTag option:
  • Added support for removing namespace prefixes from col names using ignoreNamespace option.
  • Added support for specifying the prefix for the attribute column in the result table using attributePrefix option.
  • Added support for excluding attributes from the XML element using excludeAttributes option.
  • Added support for specifying the column name for the value when there are attributes in an element that has no child elements using valueTag option.
  • Added support for specifying the value to treat as a null value using nullValue option.
  • Added support for specifying the character encoding of the XML file using charset option.
  • Added support for ignoring surrounding whitespace in the XML element using ignoreSurroundingWhitespace option.
• Added support for parameter return_dataframe in Session.call, which can be used to set the return type of the functions to a DataFrame object.
• Added a new argument to Dataframe.describe called strings_include_math_stats that triggers stddev and mean to be calculated for String columns.
• Added support for retrieving Edge.properties when retrieving lineage from DGQL in DataFrame.lineage.trace.
• Added a parameter table_exists to DataFrameWriter.save_as_table that allows specifying if a table already exists. This allows skipping a table lookup that can be expensive.

Bug Fixes

• Fixed a bug in DataFrameReader.dbapi (PrPr) where the create_connection defined as local function was incompatible with multiprocessing.
• Fixed a bug in DataFrameReader.dbapi (PrPr) where databricks TIMESTAMP type was converted to Snowflake TIMESTAMP_NTZ type which should be TIMESTAMP_LTZ type.
• Fixed a bug in DataFrameReader.json where repeated reads with the same reader object would create incorrectly quoted columns.
• Fixed a bug in DataFrame.to_pandas() that would drop column names when converting a dataframe that did not originate from a select statement.
• Fixed a bug that DataFrame.create_or_replace_dynamic_table raises error when the dataframe contains a UDTF and SELECT * in UDTF not being parsed correctly.
• Fixed a bug where casted columns could not be used in the values-clause of in functions.

Improvements

• Improved the error message for Session.write_pandas() and Session.create_dataframe() when the input pandas DataFrame does not have a column.
• Improved DataFrame.select when the arguments contain a table function with output columns that collide with columns of current dataframe. With the improvement, if user provides non-colliding columns in df.select("col1", "col2", table_func(...)) as string arguments, then the query generated by snowpark client will not raise ambiguous column error.
• Improved DataFrameReader.dbapi (PrPr) to use in-memory Parquet-based ingestion for better performance and security.
• Improved DataFrameReader.dbapi (PrPr) to use MATCH_BY_COLUMN_NAME=CASE_SENSITIVE in copy into table operation.

Snowpark Local Testing Updates

New Features

• Added support for snow urls (snow://) in local file testing.

Bug Fixes

• Fixed a bug in Column.isin that would cause incorrect filtering on joined or previously filtered data.
• Fixed a bug in snowflake.snowpark.functions.concat_ws that would cause results to have an incorrect index.

Snowpark pandas API Updates

Dependency Updates

• Updated modin dependency constraint from 0.32.0 to >=0.32.0, <0.34.0. The latest version tested with Snowpark pandas is modin 0.33.1.

New Features

• Added support for Hybrid Execution (PrPr). By running from modin.config import AutoSwitchBackend; AutoSwitchBackend.enable(), Snowpark pandas will automatically choose whether to run certain pandas operations locally or on Snowflake. This feature is disabled by default.

Improvements

• Set the default value of the index parameter to False for DataFrame.to_view, Series.to_view, DataFrame.to_dynamic_table, and Series.to_dynamic_table.
• Added iceberg_version option to table creation functions.
• Reduced query count for many operations, including insert, repr, and groupby, that previously issued a query to retrieve the input data's size.

Bug Fixes

• Fixed a bug in Series.where when the other parameter is an unnamed Series.

Release

1.32.0 (2025-05-15)

Snowpark Python API Updates

Improvements

• Invoking snowflake system procedures does not invoke an additional describe procedure call to check the return type of the procedure.
• Added support for Session.create_dataframe() with the stage URL and FILE data type.
• Added support for different modes for dealing with corrupt XML records when reading an XML file using session.read.option('mode', <mode>), option('rowTag', <tag_name>).xml(<stage_file_path>). Currently PERMISSIVE, DROPMALFORMED and FAILFAST are supported.
• Improved the error message of the XML reader when the specified row tag is not found in the file.
• Improved query generation for Dataframe.drop to use SELECT * EXCLUDE () to exclude the dropped columns. To enable this feature, set session.conf.set("use_simplified_query_generation", True).
• Added support for VariantType to StructType.from_json

Bug Fixes

• Fixed a bug in DataFrameWriter.dbapi (PrPr) that unicode or double-quoted column name in external database causes error because not quoted correctly.
• Fixed a bug where named fields in nested OBJECT data could cause errors when containing spaces.

Snowpark Local Testing Updates

Bug Fixes

• Fixed a bug in snowflake.snowpark.functions.rank that would cause sort direction to not be respected.
• Fixed a bug in snowflake.snowpark.functions.to_timestamp_* that would cause incorrect results on filtered data.

Snowpark pandas API Updates

New Features

• Added support for dict values in Series.str.get, Series.str.slice, and Series.str.__getitem__ (Series.str[...]).
• Added support for DataFrame.to_html.
• Added support for DataFrame.to_string and Series.to_string.
• Added support for reading files from S3 buckets using pd.read_csv.

Improvements

• Make iceberg_config a required parameter for DataFrame.to_iceberg and Series.to_iceberg.

Release

1.31.1 (2025-05-05)

Snowpark Python API Updates

Bug Fixes

• Updated conda build configuration to deprecate Python 3.8 support, preventing installation in incompatible environments.

Release

1.31.0 (2025-04-24)

Snowpark Python API Updates

New Features

• Added support for restricted caller permission of execute_as argument in StoredProcedure.register().
• Added support for non-select statement in DataFrame.to_pandas().
• Added support for artifact_repository parameter to Session.add_packages, Session.add_requirements, Session.get_packages, Session.remove_package, and Session.clear_packages.
• Added support for reading an XML file using a row tag by session.read.option('rowTag', <tag_name>).xml(<stage_file_path>) (experimental).
  • Each XML record is extracted as a separate row.
  • Each field within that record becomes a separate column of type VARIANT, which can be further queried using dot notation, e.g., col(a.b.c).
• Added updates to DataFrameReader.dbapi (PrPr):
  • Added fetch_merge_count parameter for optimizing performance by merging multiple fetched data into a single Parquet file.
  • Added support for Databricks.
  • Added support for ingestion with Snowflake UDTF.
• Added support for the following AI-powered functions in functions.py (Private Preview):
  • prompt
  • ai_filter (added support for prompt() function and image files, and changed the second argument name from expr to file)
  • ai_classify

Improvements

• Renamed the relaxed_ordering param into enforce_ordering for DataFrame.to_snowpark_pandas. Also the new default values is enforce_ordering=False which has the opposite effect of the previous default value, relaxed_ordering=False.
• Improved DataFrameReader.dbapi (PrPr) reading performance by setting the default fetch_size parameter value to 1000.
• Improve the error message for invalid identifier SQL error by suggesting the potentially matching identifiers.
• Reduced the number of describe queries issued when creating a DataFrame from a Snowflake table using session.table.
• Improved performance and accuracy of DataFrameAnalyticsFunctions.time_series_agg().

Bug Fixes

• Fixed a bug in DataFrame.group_by().pivot().agg when the pivot column and aggregate column are the same.
• Fixed a bug in DataFrameReader.dbapi (PrPr) where a TypeError was raised when create_connection returned a connection object of an unsupported driver type.
• Fixed a bug where df.limit(0) call would not properly apply.
• Fixed a bug in DataFrameWriter.save_as_table that caused reserved names to throw errors when using append mode.

Deprecations

• Deprecated support for Python3.8.
• Deprecated argument sliding_interval in DataFrameAnalyticsFunctions.time_series_agg().

Snowpark Local Testing Updates

New Features

• Added support for Interval expression to Window.range_between.
• Added support for array_construct function.

Bug Fixes

• Fixed a bug in local testing where transient __pycache__ directory was unintentionally copied during stored procedure execution via import.
• Fixed a bug in local testing that created incorrect result for Column.like calls.
• Fixed a bug in local testing that caused Column.getItem and snowpark.snowflake.functions.get to raise IndexError rather than return null.
• Fixed a bug in local testing where df.limit(0) call would not properly apply.
• Fixed a bug in local testing where a Table.merge into an empty table would cause an exception.

Snowpark pandas API Updates

Dependency Updates

• Updated modin from 0.30.1 to 0.32.0.
• Added support for numpy 2.0 and above.

New Features

• Added support for DataFrame.create_or_replace_view and Series.create_or_replace_view.
• Added support for DataFrame.create_or_replace_dynamic_table and Series.create_or_replace_dynamic_table.
• Added support for DataFrame.to_view and Series.to_view.
• Added support for DataFrame.to_dynamic_table and Series.to_dynamic_table.
• Added support for DataFrame.groupby.resample for aggregations max, mean, median, min, and sum.
• Added support for reading stage files using:
  • pd.read_excel
  • pd.read_html
  • pd.read_pickle
  • pd.read_sas
  • pd.read_xml
• Added support for DataFrame.to_iceberg and Series.to_iceberg.
• Added support for dict values in Series.str.len.

Improvements

• Improve performance of DataFrame.groupby.apply and Series.groupby.apply by avoiding expensive pivot step.
• Added estimate for row count upper bound to OrderedDataFrame to enable better engine switching. This could potentially result in increased query counts.
• Renamed the relaxed_ordering param into enforce_ordering for pd.read_snowflake. Also the new default value is enforce_ordering=False which has the opposite effect of the previous default value, relaxed_ordering=False.

Bug Fixes

• Fixed a bug for pd.read_snowflake when reading iceberg tables and enforce_ordering=True.

Release

1.30.0 (2025-03-27)

Snowpark Python API Updates

New Features

• Added Support for relaxed consistency and ordering guarantees in Dataframe.to_snowpark_pandas by introducing the new parameter relaxed_ordering.
• DataFrameReader.dbapi (PrPr) now accepts a list of strings for the session_init_statement parameter, allowing multiple SQL statements to be executed during session initialization.

Improvements

• Improved query generation for Dataframe.stat.sample_by to generate a single flat query that scales well with large fractions dictionary compared to older method of creating a UNION ALL subquery for each key in fractions. To enable this feature, set session.conf.set("use_simplified_query_generation", True).
• Improved performance of DataFrameReader.dbapi by enable vectorized option when copy parquet file into table.
• Improved query generation for DataFrame.random_split in the following ways. They can be enabled by setting session.conf.set("use_simplified_query_generation", True):
  • Removed the need to cache_result in the internal implementation of the input dataframe resulting in a pure lazy dataframe operation.
  • The seed argument now behaves as expected with repeatable results across multiple calls and sessions.
• DataFrame.fillna and DataFrame.replace now both support fitting int and float into Decimal columns if include_decimal is set to True.
• Added documentation for the following UDF and stored procedure functions in files.py as a result of their General Availability.
  • SnowflakeFile.write
  • SnowflakeFile.writelines
  • SnowflakeFile.writeable
• Minor documentation changes for SnowflakeFile and SnowflakeFile.open()

Bug Fixes

• Fixed a bug for the following functions that raised errors .cast() is applied to their output
  • from_json
  • size

Snowpark Local Testing Updates

Bug Fixes

• Fixed a bug in aggregation that caused empty groups to still produce rows.
• Fixed a bug in Dataframe.except_ that would cause rows to be incorrectly dropped.
• Fixed a bug that caused to_timestamp to fail when casting filtered columns.

Snowpark pandas API Updates

New Features

• Added support for list values in Series.str.__getitem__ (Series.str[...]).
• Added support for pd.Grouper objects in group by operations. When freq is specified, the default values of the sort, closed, label, and convention arguments are supported; origin is supported when it is start or start_day.
• Added support for relaxed consistency and ordering guarantees in pd.read_snowflake for both named data sources (e.g., tables and views) and query data sources by introducing the new parameter relaxed_ordering.

Improvements

• Raise a warning whenever QUOTED_IDENTIFIERS_IGNORE_CASE is found to be set, ask user to unset it.
• Improved how a missing index_label in DataFrame.to_snowflake and Series.to_snowflake is handled when index=True. Instead of raising a ValueError, system-defined labels are used for the index columns.
• Improved error message for groupby or DataFrame or Series.agg when the function name is not supported.

Release

1.29.1 (2025-03-12)

Snowpark Python API Updates

Bug Fixes

• Fixed a bug in DataFrameReader.dbapi (PrPr) that prevents usage in stored procedure and snowbooks.

Release

1.29.0 (2025-03-05)

Snowpark Python API Updates

New Features

• Added support for the following AI-powered functions in functions.py (Private Preview):
  • ai_filter
  • ai_agg
  • summarize_agg
• Added support for the new FILE SQL type support, with the following related functions in functions.py (Private Preview):
  • fl_get_content_type
  • fl_get_etag
  • fl_get_file_type
  • fl_get_last_modified
  • fl_get_relative_path
  • fl_get_scoped_file_url
  • fl_get_size
  • fl_get_stage
  • fl_get_stage_file_url
  • fl_is_audio
  • fl_is_compressed
  • fl_is_document
  • fl_is_image
  • fl_is_video
• Added support for importing third-party packages from PyPi using Artifact Repository (Private Preview):
  • Use keyword arguments artifact_repository and artifact_repository_packages to specify your artifact repository and packages respectively when registering stored procedures or user defined functions.
  • Supported APIs are:
    • Session.sproc.register
    • Session.udf.register
    • Session.udaf.register
    • Session.udtf.register
    • functions.sproc
    • functions.udf
    • functions.udaf
    • functions.udtf
    • functions.pandas_udf
    • functions.pandas_udtf

Bug Fixes

• Fixed a bug where creating a Dataframe with large number of values raised Unsupported feature 'SCOPED_TEMPORARY'. error if thread-safe session was disabled.
• Fixed a bug where df.describe raised internal SQL execution error when the dataframe is created from reading a stage file and CTE optimization is enabled.
• Fixed a bug where df.order_by(A).select(B).distinct() would generate invalid SQL when simplified query generation was enabled using session.conf.set("use_simplified_query_generation", True).
  • Disabled simplified query generation by default.

Improvements

• Improved version validation warnings for snowflake-snowpark-python package compatibility when registering stored procedures. Now, warnings are only triggered if the major or minor version does not match, while bugfix version differences no longer generate warnings.
• Bumped cloudpickle dependency to also support cloudpickle==3.0.0 in addition to previous versions.

Snowpark Local Testing Updates

New Features

• Added support for literal values to range_between window function.

Snowpark pandas API Updates

New Features

• Added support for applying Snowflake Cortex functions ClassifyText, Translate, and ExtractAnswer.

Improvements

• Improve error message for pd.to_snowflake, DataFrame.to_snowflake, and Series.to_snowflake when the table does not exist.
• Improve readability of docstring for the if_exists parameter in pd.to_snowflake, DataFrame.to_snowflake, and Series.to_snowflake.
• Improve error message for all pandas functions that use UDFs with Snowpark objects.

Bug Fixes

• Fixed a bug in Series.rename_axis where an AttributeError was being raised.
• Fixed a bug where pd.get_dummies didn't ignore NULL/NaN values by default.
• Fixed a bug where repeated calls to pd.get_dummies results in 'Duplicated column name error'.
• Fixed a bug in pd.get_dummies where passing list of columns generated incorrect column labels in output DataFrame.
• Update pd.get_dummies to return bool values instead of int.

Release

1.28.0 (2025-02-20)

Snowpark Python API Updates

New Features

• Added support for the following functions in functions.py
  • normal
  • randn
• Added support for allow_missing_columns parameter to Dataframe.union_by_name and Dataframe.union_all_by_name.

Improvements

• Improved the random object name generation to avoid collisions.
• Improved query generation for Dataframe.distinct to generate SELECT DISTINCT instead of SELECT with GROUP BY all columns. To disable this feature, set session.conf.set("use_simplified_query_generation", False).

Deprecations

• Deprecated Snowpark Python function snowflake_cortex_summarize. Users can install snowflake-ml-python and use the snowflake.cortex.summarize function instead.
• Deprecated Snowpark Python function snowflake_cortex_sentiment. Users can install snowflake-ml-python and use the snowflake.cortex.sentiment function instead.

Bug Fixes

• Fixed a bug where session-level query tag was overwritten by a stacktrace for dataframes that generate multiple queries. Now, the query tag will only be set to the stacktrace if session.conf.set("collect_stacktrace_in_query_tag", True).
• Fixed a bug in Session._write_pandas where it was erroneously passing use_logical_type parameter to Session._write_modin_pandas_helper when writing a Snowpark pandas object.
• Fixed a bug in options sql generation that could cause multiple values to be formatted incorrectly.
• Fixed a bug in Session.catalog where empty strings for database or schema were not handled correctly and were generating erroneous sql statements.

Experimental Features

• Added support for writing pyarrow Tables to Snowflake tables.

Snowpark pandas API Updates

New Features

• Added support for applying Snowflake Cortex functions Summarize and Sentiment.
• Added support for list values in Series.str.get.

Bug Fixes

• Fixed a bug in apply where kwargs were not being correctly passed into the applied function.

Snowpark Local Testing Updates

New Features

• Added support for the following functions
  • hour
  • minute
• Added support for NULL_IF parameter to csv reader.
• Added support for date_format, datetime_format, and timestamp_format options when loading csvs.

Bug Fixes

• Fixed a bug in Dataframe.join that caused columns to have incorrect typing.
• Fixed a bug in when statements that caused incorrect results in the otherwise clause.

Release

1.27.0 (2025-02-03)

Snowpark Python API Updates

New Features

• Added support for the following functions in functions.py
  • array_reverse
  • divnull
  • map_cat
  • map_contains_key
  • map_keys
  • nullifzero
  • snowflake_cortex_sentiment
  • acosh
  • asinh
  • atanh
  • bit_length
  • bitmap_bit_position
  • bitmap_bucket_number
  • bitmap_construct_agg
  • cbrt
  • equal_null
  • from_json
  • ifnull
  • localtimestamp
  • max_by
  • min_by
  • nth_value
  • nvl
  • octet_length
  • position
  • regr_avgx
  • regr_avgy
  • regr_count
  • regr_intercept
  • regr_r2
  • regr_slope
  • regr_sxx
  • regr_sxy
  • regr_syy
  • try_to_binary
  • base64
  • base64_decode_string
  • base64_encode
  • editdistance
  • hex
  • hex_encode
  • instr
  • log1p
  • log2
  • log10
  • percentile_approx
  • unbase64
• Added support for specifying a schema string (including implicit struct syntax) when calling DataFrame.create_dataframe.
• Added support for DataFrameWriter.insert_into/insertInto. This method also supports local testing mode.
• Added support for DataFrame.create_temp_view to create a temporary view. It will fail if the view already exists.
• Added support for multiple columns in the functions map_cat and map_concat.
• Added an option keep_column_order for keeping original column order in DataFrame.with_column and DataFrame.with_columns.
• Added options to column casts that allow renaming or adding fields in StructType columns.
• Added support for contains_null parameter to ArrayType.
• Added support for creating a temporary view via DataFrame.create_or_replace_temp_view from a DataFrame created by reading a file from a stage.
• Added support for value_contains_null parameter to MapType.
• Added interactive to telemetry that indicates whether the current environment is an interactive one.
• Allow session.file.get in a Native App to read file paths starting with / from the current version
• Added support for multiple aggregation functions after DataFrame.pivot.

Experimental Features

• Added Catalog class to manage snowflake objects. It can be accessed via Session.catalog.
  • snowflake.core is a dependency required for this feature.
• Allow user input schema when reading JSON file on stage.
• Added support for specifying a schema string (including implicit struct syntax) when calling DataFrame.create_dataframe.

Improvements

• Updated README.md to include instructions on how to verify package signatures using cosign.

Bug Fixes

• Fixed a bug in local testing mode that caused a column to contain None when it should contain 0.
• Fixed a bug in StructField.from_json that prevented TimestampTypes with tzinfo from being parsed correctly.
• Fixed a bug in function date_format that caused an error when the input column was date type or timestamp type.
• Fixed a bug in dataframe that null value can be inserted in a non-nullable column.
• Fixed a bug in replace and lit which raised type hint assertion error when passing Column expression objects.
• Fixed a bug in pandas_udf and pandas_udtf where session parameter was erroneously ignored.
• Fixed a bug that raised incorrect type conversion error for system function called through session.call.

Snowpark pandas API Updates

New Features

• Added support for Series.str.ljust and Series.str.rjust.
• Added support for Series.str.center.
• Added support for Series.str.pad.
• Added support for applying Snowpark Python function snowflake_cortex_sentiment.
• Added support for DataFrame.map.
• Added support for DataFrame.from_dict and DataFrame.from_records.
• Added support for mixed case field names in struct type columns.
• Added support for SeriesGroupBy.unique
• Added support for Series.dt.strftime with the following directives:
  • %d: Day of the month as a zero-padded decimal number.
  • %m: Month as a zero-padded decimal number.
  • %Y: Year with century as a decimal number.
  • %H: Hour (24-hour clock) as a zero-padded decimal number.
  • %M: Minute as a zero-padded decimal number.
  • %S: Second as a zero-padded decimal number.
  • %f: Microsecond as a decimal number, zero-padded to 6 digits.
  • %j: Day of the year as a zero-padded decimal number.
  • %X: Locale’s appropriate time representation.
  • %%: A literal '%' character.
• Added support for Series.between.
• Added support for include_groups=False in DataFrameGroupBy.apply.
• Added support for expand=True in Series.str.split.
• Added support for DataFrame.pop and Series.pop.
• Added support for first and last in DataFrameGroupBy.agg and SeriesGroupBy.agg.
• Added support for Index.drop_duplicates.
• Added support for aggregations "count", "median", np.median,
  "skew", "std", np.std "var", and np.var in
  pd.pivot_table(), DataFrame.pivot_table(), and pd.crosstab().

Improvements

• Improve performance of DataFrame.map, Series.apply and Series.map methods by mapping numpy functions to snowpark functions if possible.
• Added documentation for DataFrame.map.
• Improve performance of DataFrame.apply by mapping numpy functions to snowpark functions if possible.
• Added documentation on the extent of Snowpark pandas interoperability with scikit-learn.
• Infer return type of functions in Series.map, Series.apply and DataFrame.map if type-hint is not provided.
• Added call_count to telemetry that counts method calls including interchange protocol calls.

Release

1.26.0 (2024-12-05)

Snowpark Python API Updates

New Features

• Added support for property version and class method get_active_session for Session class.
• Added new methods and variables to enhance data type handling and JSON serialization/deserialization:
  • To DataType, its derived classes, and StructField:
    • type_name: Returns the type name of the data.
    • simple_string: Provides a simple string representation of the data.
    • json_value: Returns the data as a JSON-compatible value.
    • json: Converts the data to a JSON string.
  • To ArrayType, MapType, StructField, PandasSeriesType, PandasDataFrameType and StructType:
    • from_json: Enables these types to be created from JSON data.
  • To MapType:
    • keyType: keys of the map
    • valueType: values of the map
• Added support for method appName in SessionBuilder.
• Added support for include_nulls argument in DataFrame.unpivot.
• Added support for following functions in functions.py:
  • size to get size of array, object, or map columns.
  • collect_list an alias of array_agg.
  • substring makes len argument optional.
• Added parameter ast_enabled to session for internal usage (default: False).

Improvements

• Added support for specifying the following to DataFrame.create_or_replace_dynamic_table:
  • iceberg_config A dictionary that can hold the following iceberg configuration options:
    • external_volume
    • catalog
    • base_location
    • catalog_sync
    • storage_serialization_policy
• Added support for nested data types to DataFrame.print_schema
• Added support for level parameter to DataFrame.print_schema
• Improved flexibility of DataFrameReader and DataFrameWriter API by adding support for the following:
  • Added format method to DataFrameReader and DataFrameWriter to specify file format when loading or unloading results.
  • Added load method to DataFrameReader to work in conjunction with format.
  • Added save method to DataFrameWriter to work in conjunction with format.
  • Added support to read keyword arguments to options method for DataFrameReader and DataFrameWriter.
• Relaxed the cloudpickle dependency for Python 3.11 to simplify build requirements. However, for Python 3.11, cloudpickle==2.2.1 remains the only supported version.

Bug Fixes

• Removed warnings that dynamic pivot features were in private preview, because
  dynamic pivot is now generally available.
• Fixed a bug in session.read.options where False Boolean values were incorrectly parsed as True in the generated file format.

Dependency Updates

• Added a runtime dependency on python-dateutil.

Snowpark pandas API Updates

New Features

• Added partial support for Series.map when arg is a pandas Series or a
  collections.abc.Mapping. No support for instances of dict that implement
  __missing__ but are not instances of collections.defaultdict.
• Added support for DataFrame.align and Series.align for axis=1 and axis=None.
• Added support for pd.json_normalize.
• Added support for GroupBy.pct_change with axis=0, freq=None, and limit=None.
• Added support for DataFrameGroupBy.__iter__ and SeriesGroupBy.__iter__.
• Added support for np.sqrt, np.trunc, np.floor, numpy trig functions, np.exp, np.abs, np.positive and np.negative.
• Added partial support for the dataframe interchange protocol method
  DataFrame.__dataframe__().

Bug Fixes

• Fixed a bug in df.loc where setting a single column from a series results in unexpected None values.

Improvements

• Use UNPIVOT INCLUDE NULLS for unpivot operations in pandas instead of sentinel values.
• Improved documentation for pd.read_excel.