What's New in Version 0.9.0

Breaking Changes

• When a pandas-format query has an integer column containing null values, the corresponding column in the results DataFrame now uses pandas’ nullable integer type instead of the default int64 type.

  This change allows for better handling of null values in integer columns, which now appear as pandas.NA values instead of NaN values like they did in earlier versions. This also ensures that these result columns are not converted to floats due to the presence of the NaN values.