fix: deprecated methods

src/kiara_plugin/tabular/models/table.py

@@ -18,6 +18,7 @@
 from kiara.models import KiaraModel
 from kiara.models.values.value import Value
 from kiara.models.values.value_metadata import ValueMetadata
+from kiara.utils import log_exception
 from kiara_plugin.tabular.models import TableMetadata
 from kiara_plugin.tabular.utils.tables import extract_column_metadata
 
@@ -34,6 +35,7 @@ class KiaraTable(KiaraModel):
     def create_table(cls, data: Any) -> "KiaraTable":
         """Create a `KiaraTable` instance from an Apache Arrow Table, or dict of lists."""
 
+        import pandas as pd
         import polars as pl
 
         if isinstance(data, KiaraTable):
@@ -50,11 +52,20 @@ def create_table(cls, data: Any) -> "KiaraTable":
             table_obj = data
         elif isinstance(data, (pl.DataFrame)):
             table_obj = data.to_arrow()
+        elif isinstance(data, (pd.DataFrame)):
+            try:
+                table_obj = pa.table(data)
+            except Exception as e:
+                log_exception(e)
+                raise Exception(f"Can't create table from pandas dataframe: {e}")
         else:
             try:
                 table_obj = pa.table(data)
-            except Exception:
-                pass
+            except Exception as e:
+                log_exception(e)
+                raise Exception(
+                    f"Can't create table, invalid source data type: {type(data)}."
+                )
 
         if table_obj is None:
             if isinstance(data, (str)):

src/kiara_plugin/tabular/modules/array/__init__.py

@@ -163,7 +163,10 @@ def parse_date(_text: str):
 
         series = pl.Series(name="tokens", values=array.arrow_array)
         job_log.add_log(f"start parsing date for {len(array)} items")
-        result = series.apply(parse_date)
+        # result = series.apply(parse_date)
+
+        result = series.map_elements(parse_date, return_dtype=pl.Date)
+
         job_log.add_log(f"finished parsing date for {len(array)} items")
         result_array = result.to_arrow()