feat: add pyarrow.Table support

great_tables/_gt_data.py

@@ -19,6 +19,7 @@
     copy_data,
     create_empty_frame,
     get_column_names,
+    _get_column_dtype,
     n_rows,
     to_list,
     validate_frame,
@@ -175,7 +176,11 @@ def render_formats(self, data_tbl: TblData, formats: list[FormatInfo], context:
                 # TODO: I think that this is very inefficient with polars, so
                 # we could either accumulate results and set them per column, or
                 # could always use a pandas DataFrame inside Body?
-                _set_cell(self.body, row, col, result)
+                new_body = _set_cell(self.body, row, col, result)
+                if new_body is not None:
+                    # Some backends do not support inplace operations, but return a new dataframe
+                    # TODO: Consolidate the behaviour of _set_cell
+                    self.body = new_body
 
         return self
 
@@ -335,7 +340,7 @@ def align_from_data(self, data: TblData) -> Self:
         # a Pandas DataFrame or a Polars DataFrame
         col_classes = []
         for col in get_column_names(data):
-            dtype = data[col].dtype
+            dtype = _get_column_dtype(data, col)
 
             if dtype == "object":
                 # Check whether all values in 'object' columns are strings that