Snowpark Library for Python release notes for 2024¶

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__().

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

Use UNPIVOT INCLUDE NULLS for unpivot operations in pandas instead of sentinel values.

Improved documentation for pd.read_excel.

Added support for Index.to_numpy.

Added support for DataFrame.align and Series.align for axis=0.

Added support for snowflake.snowpark.functions.window

Added support for pd.read_pickle (Uses native pandas for processing).

Added support for pd.read_html (Uses native pandas for processing).

Added support for pd.read_xml (Uses native pandas for processing).

Added support for aggregation functions "size" and len in GroupBy.aggregate, DataFrame.aggregate, and Series.aggregate.

Added support for list values in Series.str.len.

Fixed a bug where aggregating a single-column dataframe with a single callable function (e.g. pd.DataFrame([0]).agg(np.mean)) would fail to transpose the result.

Fixed bugs where DataFrame.dropna() would:

• Treat an empty subset (e.g. []) as if it specified all columns instead of no columns.

• Raise a TypeError for a scalar subset instead of filtering on just that column.

• Raise a ValueError for a subset of type pandas.Index instead of filtering on the columns in the index.

Creation of scoped read-only tables to mitigate TableNotFoundError when using dynamic pivot in a notebook environment.

Fixed a bug when concat dataframe or series objects are coming from the same dataframe when axis = 1.

Improve np.where with scalar x value by eliminating unnecessary join and temp table creation.

Improve get_dummies performance by flattening the pivot with join.

Added support for patching functions that are unavailable in the snowflake.snowpark.functions module.

Added support for snowflake.snowpark.functions.any_value

Fixed a bug where Table.update could not handle VariantType, MapType, and ArrayType data types.

Fixed a bug where column aliases were incorrectly resolved in DataFrame.join, causing errors when selecting columns from a joined DataFrame.

Fixed a bug where Table.update and Table.merge could fail if the target table’s index was not the default RangeIndex.

Added support for np.subtract, np.multiply, np.divide, and np.true_divide.

Added support for tracking usages of __array_ufunc__.

Added numpy compatibility support for np.float_power, np.mod, np.remainder, np.greater, np.greater_equal, np.less, np.less_equal, np.not_equal, and np.equal.

Added numpy compatibility support for np.log, np.log2, and np.log10

Added support for DataFrameGroupBy.bfill, SeriesGroupBy.bfill, DataFrameGroupBy.ffill, and SeriesGroupBy.ffill.

Added support for on parameter with Resampler.

Added support for timedelta inputs in value_counts().

Added support for applying Snowpark Python function snowflake_cortex_summarize.

Added support for DataFrame.attrs and Series.attrs.

Added support for DataFrame.style.

Added numpy compatibility support for np.full_like

Improved generated SQL query for head and iloc when the row key is a slice.

Improved error message when passing an unknown timezone to tz_convert and tz_localize in Series, DataFrame, Series.dt, and DatetimeIndex.

Improved documentation for tz_convert and tz_localize in Series, DataFrame, Series.dt, and DatetimeIndex to specify the supported timezone formats.

Added additional kwargs support for df.apply and series.apply ( as well as map and applymap ) when using snowpark functions. This allows for some position independent compatibility between apply and functions where the first argument is not a pandas object.

Improved generated SQL query for iloc and iat when the row key is a scalar.

Removed all joins in iterrows.

Improved documentation for Series.map to reflect the unsupported features.

Added support for np.may_share_memory which is used internally by many scikit-learn functions. This method will always return false when called with a Snowpark pandas object.

Fixed a bug where DataFrame and Series pct_change() would raise TypeError when input contained timedelta columns.

Fixed a bug where replace() would sometimes propagate Timedelta types incorrectly through replace(). Instead raise NotImplementedError for replace() on Timedelta.

Fixed a bug where DataFrame and Series round() would raise AssertionError for Timedelta columns. Instead raise NotImplementedError for round() on Timedelta.

Fixed a bug where reindex fails when the new index is a Series with non-overlapping types from the original index.

Fixed a bug where calling __getitem__ on a DataFrameGroupBy object always returned a DataFrameGroupBy object if as_index=False.

Fixed a bug where inserting timedelta values into an existing column would silently convert the values to integers instead of raising NotImplementedError.

Fixed a bug where DataFrame.shift() on axis=0 and axis=1 would fail to propagate timedelta types.

DataFrame.abs(), DataFrame.__neg__(), DataFrame.stack(), and DataFrame.unstack() now raise NotImplementedError for timedelta inputs instead of failing to propagate timedelta types.

Fixed a bug where DataFrame.alias raises KeyError for input column name.

Fixed a bug where to_csv on Snowflake stage fails when data contains empty strings.

Added support for TimedeltaIndex.mean method.

Added support for some cases of aggregating Timedelta columns on axis=0 with agg or aggregate.

Added support for by, left_by, right_by, left_index, and right_index for pd.merge_asof.

Added support for passing parameter include_describe to Session.query_history.

Added support for DatetimeIndex.mean and DatetimeIndex.std methods.

Added support for Resampler.asfreq, Resampler.indices, Resampler.nunique, and Resampler.quantile.

Added support for resample frequency W, ME, YE with closed = "left".

Added support for DataFrame.rolling.corr and Series.rolling.corr for pairwise = False and int window.

Added support for string time-based window and min_periods = None for Rolling.

Added support for DataFrameGroupBy.fillna and SeriesGroupBy.fillna.

Added support for constructing Series and DataFrame objects with the lazy Index object as data, index, and columns arguments.

Added support for constructing Series and DataFrame objects with index and column values not present in DataFrame/Series data.

Added support for pd.read_sas (Uses native pandas for processing).

Added support for applying rolling().count() and expanding().count() to Timedelta series and columns.

Added support for tz in both pd.date_range and pd.bdate_range.

Added support for Series.items.

Added support for errors="ignore" in pd.to_datetime.

Added support for DataFrame.tz_localize and Series.tz_localize.

Added support for DataFrame.tz_convert and Series.tz_convert.

Added support for applying Snowpark Python functions (e.g., sin) in Series.map, Series.apply, DataFrame.apply and DataFrame.applymap.

Improved to_pandas to persist the original timezone offset for TIMESTAMP_TZ type.

Improved dtype results for TIMESTAMP_TZ type to show correct timezone offset.

Improved dtype results for TIMESTAMP_LTZ type to show correct timezone.

Improved error message when passing non-bool value to numeric_only for groupby aggregations.

Removed unnecessary warning about sort algorithm in sort_values.

Use SCOPED object for internal create temp tables. The SCOPED objects will be stored sproc scoped if created within stored sproc, otherwise will be session scoped, and the object will be automatically cleaned at the end of the scope.

Improved warning messages for operations that lead to materialization with inadvertent slowness.

Removed unnecessary warning message about convert_dtype in Series.apply.

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.

Fixed a bug where Series.sort_values failed if series name overlapped with index column name.

Fixed a bug where transposing a dataframe would map Timedelta index levels to integer column levels.

Fixed a bug where Resampler methods on timedelta columns would produce integer results.

Fixed a bug where pd.to_numeric() would leave Timedelta inputs as Timedelta instead of converting them to integers.

Fixed loc set when setting a single row, or multiple rows, of a DataFrame with a Series value.

Added support for type coercion when passing columns as input to UDF calls.

Added support for Index.identical.

Fixed a bug where the truncate mode in DataFrameWriter.save_as_table incorrectly handled DataFrames containing only a subset of columns from the existing table.

Fixed a bug where function to_timestamp does not set the default timezone of the column datatype.

Added limited support for the Timedelta type, including the following features. Snowpark pandas will raise NotImplementedError for unsupported Timedelta use cases.

• support for tracking the Timedelta type through copy, cache_result, shift, sort_index, assign, bfill, ffill, fillna, compare, diff, drop, dropna, duplicated, empty, equals, insert, isin, isna, items, iterrows, join, len, mask, melt, merge, nlargest, nsmallest, to_pandas.

• support for converting non-timedelta to timedelta via astype.

• NotImplementedError will be raised for the rest of methods that do not support Timedelta.

• support for subtracting two timestamps to get a Timedelta.

• support indexing with Timedelta data columns.

• support for adding or subtracting timestamps and Timedelta.

• support for binary arithmetic between two Timedelta values.

• support for binary arithmetic and comparisons between Timedelta values and numeric values.

• support for lazy TimedeltaIndex.

• support for pd.to_timedelta.

• support for GroupBy aggregations min, max, mean, idxmax, idxmin, std, sum, median, count, any, all, size, nunique, head, tail, aggregate.

• support for GroupBy filtrations first and last.

• support for TimedeltaIndex attributes: days, seconds, microseconds and nanoseconds.

• support for diff with timestamp columns on axis=0 and axis=1.

• support for TimedeltaIndex methods: ceil, floor and round.

• support for TimedeltaIndex.total_seconds method.

Added support for index’s arithmetic and comparison operators.

Added support for Series.dt.round.

Added documentation pages for DatetimeIndex.

Added support for Index.name, Index.names, Index.rename, and Index.set_names.

Added support for Index.__repr__.

Added support for DatetimeIndex.month_name and DatetimeIndex.day_name.

Added support for Series.dt.weekday, Series.dt.time, and DatetimeIndex.time.

Added support for Index.min and Index.max.

Added support for pd.merge_asof.

Added support for Series.dt.normalize and DatetimeIndex.normalize.

Added support for Index.is_boolean, Index.is_integer, Index.is_floating, Index.is_numeric, and Index.is_object.

Added support for DatetimeIndex.round, DatetimeIndex.floor and DatetimeIndex.ceil.

Added support for Series.dt.days_in_month and Series.dt.daysinmonth.

Added support for DataFrameGroupBy.value_counts and SeriesGroupBy.value_counts.

Added support for Series.is_monotonic_increasing and Series.is_monotonic_decreasing.

Added support for Index.is_monotonic_increasing and Index.is_monotonic_decreasing.

Added support for pd.crosstab.

Added support for pd.bdate_range and included business frequency support (B, BME, BMS, BQE, BQS, BYE, BYS) for both pd.date_range and pd.bdate_range.

Added support for lazy Index objects as labels in DataFrame.reindex and Series.reindex.

Added support for Series.dt.days, Series.dt.seconds, Series.dt.microseconds, and Series.dt.nanoseconds.

Added support for creating a DatetimeIndex from an Index of numeric or string type.

Added support for string indexing with Timedelta objects.

Added support for Series.dt.total_seconds method.

Improved concat and join performance when operations are performed on a series coming from the same DataFrame by avoiding unnecessary joins.

Refactored quoted_identifier_to_snowflake_type to avoid making metadata queries if the types have been cached locally.

Improved pd.to_datetime to handle all local input cases.

Create a lazy index from another lazy index without pulling data to client.

Raised NotImplementedError for Index bitwise operators.

Display a more clear error message when Index.names is set to a non-list-like object.

Raise a warning whenever MultiIndex values are pulled in locally.

Improved warning message for pd.read_snowflake to include the creation reason when temp table creation is triggered.

Improved performance for DataFrame.set_index, or setting DataFrame.index or Series.index by avoiding checks that require eager evaluation. As a consequence, when the new index that does not match the current Series or DataFrame object length, a ValueError is no longer raised. Instead, when the Series or DataFrame object is longer than the provided index, the new index of the Series or DataFrame is filled with NaN values for the “extra” elements. Otherwise, the extra values in the provided index are ignored.

Stopped ignoring nanoseconds in pd.Timedelta scalars.

Fixed AssertionError in tree of binary operations.

Fixed bug in Series.dt.isocalendar using a named Series

Fixed inplace argument for Series objects derived from DataFrame columns.

Fixed a bug where Series.reindex and DataFrame.reindex did not update the result index’s name correctly.

Fixed a bug where Series.take did not give an error when axis=1 was specified.

Added support for the following APIs:

• snowflake.snowpark.functions

  • rank

  • dense_rank

  • percent_rank

  • cume_dist

  • ntile

  • datediff

  • array_agg

• snowflake.snowpark.column.Column.within_group

Added support for parsing flags in Regex statements for mocked plans. This maintains parity with the rlike and regexp changes above.

Fixed a bug where the window functions LEAD and LAG do not handle the option ignore_nulls properly.

Fixed a bug where values were not populated into the result DataFrame during the insertion of a table merge operation.

Fix pandas FutureWarning about integer indexing.

Added support for DataFrame.backfill, DataFrame.bfill, Series.backfill, and Series.bfill.

Added support for DataFrame.compare and Series.compare with default parameters.

Added support for Series.dt.microsecond and Series.dt.nanosecond.

Added support for Index.is_unique and Index.has_duplicates.

Added support for Index.equals.

Added support for Index.value_counts.

Added support for Series.dt.day_name and Series.dt.month_name.

Added support for indexing on Index, e.g., df.index[:10].

Added support for DataFrame.unstack and Series.unstack.

Added support for DataFrame.asfreq and Series.asfreq.

Added support for Series.dt.is_month_start and Series.dt.is_month_end.

Added support for Index.all and Index.any.

Added support for Series.dt.is_year_start and Series.dt.is_year_end.

Added support for Series.dt.is_quarter_start and Series.dt.is_quarter_end.

Added support for lazy DatetimeIndex.

Added support for Series.argmax and Series.argmin.

Added support for Series.dt.is_leap_year.

Added support for DataFrame.items.

Added support for Series.dt.floor and Series.dt.ceil.

Added support for Index.reindex.

Added support for DatetimeIndex properties: year, month, day, hour, minute, second, microsecond, nanosecond, date, dayofyear, day_of_year, dayofweek, day_of_week, weekday, quarter, is_month_start, is_month_end, is_quarter_start, is_quarter_end, is_year_start, is_year_end and is_leap_year.

Added support for Resampler.fillna and Resampler.bfill.

Added limited support for the Timedelta type, including creating Timedelta columns and to_pandas.

Added support for Index.argmax and Index.argmin.

Removed the public preview warning message when importing Snowpark pandas.

Removed unnecessary count query from the SnowflakeQueryCompiler.is_series_like method.

Dataframe.columns now returns a native pandas Index object instead of a Snowpark Index object.

Refactored and introduced query_compiler argument in Index constructor to create Index from query compiler.

pd.to_datetime now returns a DatetimeIndex object instead of a Series object.

pd.date_range now returns a DatetimeIndex object instead of a Series object.

Made passing an unsupported aggregation function to pivot_table raise NotImplementedError instead of KeyError.

Removed axis labels and callable names from error messages and telemetry about unsupported aggregations.

Fixed AssertionError in Series.drop_duplicates and DataFrame.drop_duplicates when called after sort_values.

Fixed a bug in Index.to_frame where the result frame’s column name may be wrong where name is unspecified.

Fixed a bug where some Index docstrings are ignored.

Fixed a bug in Series.reset_index(drop=True) where the result name may be wrong.

Fixed a bug in Groupby.first/last ordering by the correct columns in the underlying window expression.

Added support for the following APIs:

• snowflake.snowpark.functions

  • random

Added new parameters to the 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 on which the function is currently operating.

• 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 in the DataFrameWriter.save_as_table method.

Fixed a bug that caused DecimalType columns to be incorrectly truncated to integer precision when used in BinaryExpressions.

Added new API support for the following:

• DataFrames

  • DataFrame.nlargest and DataFrame.nsmallest

  • DataFrame.assign

  • DataFrame.stack

  • DataFrame.pivot

  • DataFrame.to_csv

  • DataFrame.corr

  • DataFrame.corr

  • DataFrame.equals

  • DataFrame.reindex

  • DataFrame.at and DataFrame.iat

• Series

  • Series.nlargest and Series.nsmallest

  • Series.at and Series.iat

  • Series.dt.isocalendar

  • Series.equals

  • Series.reindex

  • Series.to_csv

  • Series.case_when except when condition or replacement is callable

  • series.plot() with data materialized the data to the local client

• GroupBy

  • DataFrameGroupBy.all and DataFrameGroupBy.any

  • DataFrameGroupBy and SeriesGroupBy aggregations first and last

  • DataFrameGroupBy.get_group

  • SeriesGroupBy.all and SeriesGroupBy.any

• General

  • pd.pivot

  • read_excel (Uses local pandas for processing)

  • df.plot() with data materialized the data to the local client

Extended existing APIs as follows:

• Added support for replace and frac > 1 in DataFrame.sample and Series.sample.

• Added partial support for Series.str.translate where the values in the table are single-codepoint strings.

• Added support for limit parameter when method parameter is used in fillna.

Added documentation pages for Index and its APIs.

Fixed an issue when using np.where and df.where when the scalar other is the literal 0.

Fixed a bug regarding precision loss when converting to Snowpark pandas DataFrame or Series with dtype=np.uint64.

Fixed a bug where values is set to index when index and columns contain all columns in DataFrame during pivot_table.

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 strict parameter when registering UDFs and Stored Procedures.

Fixed a bug in convert_timezone that made setting the source_timezone parameter return an error.

Fixed a bug where creating a DataFrame with empty data of type DateType raises AttributeError.

Fixed a bug where table merge fails when an update clause exists but no update takes place.

Fixed a bug in the mock implementation of to_char that raises IndexError when an incoming column has a nonconsecutive row index.

Fixed a bug in handling CaseExpr expressions that raises IndexError when an incoming column has a nonconsecutive row index.

Fixed a bug in the implementation of Column.like that raises IndexError when an incoming column has a nonconsecutive row index.

Added support for type coercion in the implementation of DataFrame.replace, DataFrame.dropna, and the mock function iff.

Added partial support for DataFrame.pct_change and Series.pct_change without the freq and limit parameters.

Added support for Series.str.get.

Added support for Series.dt.dayofweek, Series.dt.day_of_week, Series.dt.dayofyear, and Series.dt.day_of_year.

Added support for Series.str.__getitem__ (Series.str[...]).

Added support for Series.str.lstrip and Series.str.rstrip.

Added support for DataFrameGroupby.size and SeriesGroupby.size.

Added support for DataFrame.expanding and Series.expanding for aggregations count, sum, min, max, mean, std, and var with axis=0.

Added support for DataFrame.rolling and Series.rolling for aggregation count with axis=0.

Added support for Series.str.match.

Added support for DataFrame.resample and Series.resample for aggregation size.

Fixed a bug that causes output of GroupBy.aggregate columns to be ordered incorrectly.

Fixed a bug where calling 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

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 a pd.Index directly in Snowpark pandas. Support for pd.Index as a first-class component of Snowpark pandas is under active development.

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.columns, Snowpark pandas supports a non-lazy version of an Index as the data is already stored locally.

Added support for the following DataFrameReader read options to file formats CSV and JSON:

• PURGE

• PATTERN

• INFER_SCHEMA with value False

• ENCODING with value UTF8

Added support for DataFrame.analytics.moving_agg and DataFrame.analytics.cumulative_agg_agg.

Added support for the if_not_exists parameter during UDF and stored procedure registration.

Fixed a bug with processing time formats where the fractional second part was not handled properly.

Fixed a bug that caused function calls on * to fail.

Fixed a bug that prevented the creation of map and struct type objects.

Fixed a bug where the function date_add was unable to handle some numeric types.

Fixed a bug where TimestampType casting resulted in incorrect data.

Fixed a bug that caused DecimalType data to have incorrect precision in some cases.

Fixed a bug where referencing a missing table or view raised an IndexError.

Fixed a bug where the mocked function to_timestamp_ntz could not handle None data.

Fixed a bug where mocked UDFs handled output data of None improperly.

Fixed a bug where DataFrame.with_column_renamed ignored attributes from parent DataFrames after join operations.

Fixed a bug where the integer precision of large values was lost when converted to a pandas DataFrame.

Fixed a bug where the schema of a datetime object was wrong when creating a DataFrame from a pandas DataFrame.

Fixed a bug in the implementation of Column.equal_nan where null data was handled incorrectly.

Fixed a bug where DataFrame.drop ignored attributes from parent DataFrames after join operations.

Fixed a bug in mocked function date_part where column type was set incorrectly.

Fixed a bug where DataFrameWriter.save_as_table did not raise exceptions when inserting null data into non-nullable columns.

Fixed a bug in the implementation of DataFrameWriter.save_as_table where:

• Append or truncate failed when incoming data had a different schema than the existing table.

• Truncate failed when incoming data did not specify columns that are nullable.

Removed the dependency check for pyarrow because it is not used.

Improved the target type coverage of Column.cast, adding support for casting to boolean and all integral types.

Aligned the error experience when calling UDFs and stored procedures.

Added appropriate error messages for the is_permanent and anonymous options in UDFs and stored procedures registration to make it clearer that those features are not yet supported.

File read operations with unsupported options and values now raise NotImplementedError instead of warnings and unclear error information.

Added support for NumericType and VariantType data conversion in the mocked function to_timestamp_ltz, to_timestamp_ntz, to_timestamp_tz and to_timestamp.

Added support for DecimalType, BinaryType, ArrayType, MapType, TimestampType, DateType and TimeType data conversion in the mocked function to_char.

Added support for the following APIs:

• snowflake.snowpark.functions.to_varchar

• snowflake.snowpark.DataFrame.pivot

• snowflake.snowpark.Session.cancel_all

Introduced a new exception class snowflake.snowpark.mock.exceptions.SnowparkLocalTestingException.

Added support for casting to FloatType.

Fixed a bug that stored procedures and UDFs should not remove imports already in the sys.path during the clean-up step.

Fixed a bug that when processing datetime format, the fractional second part is not handled properly.

Fixed a bug where file operations on the Windows platform were unable to properly handle file separators in directory names.

Fixed a bug that on the Windows platform that, when reading a pandas dataframe, an IntervalType column with integer data can not be processed.

Fixed a bug that prevented users from being able to select multiple columns with the same alias.

Fixed a bug where Session.get_current_[schema|database|role|user|account|warehouse] returns uppercased identifiers when identifiers are quoted.

Fixed a bug that function substr and substring can not handle a zero-based start_expr.

Standardized the error experience by raising SnowparkLocalTestingException in error cases, which is on par with the SnowparkSQLException raised in non-local execution.

Improved the error experience of the Session.write_pandas method so that NotImplementError will be raised when called.

Aligned the error experience with reusing a closed session in non-local execution.

Added support for StringType, TimestampType and VariantType data conversion in the mocked function to_date.

Added support for the following APIs:

• snowflake.snowpark.functions:

  • get

  • concat

  • concat_ws

Fixed a bug that caused NaT and NaN values to not be recognized.

Fixed a bug where, when inferring a schema, single quotes were added to stage files that already had single quotes.

Fixed a bug where DataFrameReader.csv was unable to handle quoted values containing a delimiter.

Fixed a bug that when there is a None value in an arithmetic calculation, the output should remain None instead of math.nan.

Fixed a bug in function sum and covar_pop that when there is a math.nan value in the data, the output should also be math.nan.

Fixed a bug where stage operations can not handle directories.

Fixed a bug that DataFrame.to_pandas should take Snowflake numeric types with precision 38 as int64.

Added support for registering UDFs and stored procedures.

Added support for the following APIs:

• snowflake.snowpark.Session:

  • file.put

  • file.put_stream

  • file.get

  • file.get_stream

  • read.json

  • add_import

  • remove_import

  • get_imports

  • clear_imports

  • add_packages

  • add_requirements

  • clear_packages

  • remove_package

  • udf.register

  • udf.register_from_file

  • sproc.register

  • sproc.register_from_file

• snowflake.snowpark.functions

  • current_database

  • current_session

  • date_trunc

  • object_construct

  • object_construct_keep_null

  • pow

  • sqrt

  • udf

  • sproc

Added support for StringType, TimestampType and VariantType data conversion in the mocked function to_time.

Fixed a bug that null filled columns for constant functions.

Fixed to_object, to_array and to_binary to better handle null inputs.

Fixed a bug that timestamp data comparison can not handle years beyond 2262.

Fixed a bug that Session.builder.getOrCreate should return the created mock session.