feat: len for Column and Row

src/safeds/data/tabular/_column.py

@@ -34,6 +34,10 @@ def name(self) -> str:
         """
         return self._name
 
+    @property
+    def statistics(self) -> ColumnStatistics:
+        return ColumnStatistics(self)
+
     @property
     def type(self) -> ColumnType:
         """
@@ -46,12 +50,35 @@ def type(self) -> ColumnType:
         """
         return self._type
 
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, Column):
+            return NotImplemented
+        if self is other:
+            return True
+        return self._data.equals(other._data) and self.name == other.name
+
     def __getitem__(self, index: int) -> Any:
         return self.get_value(index)
 
+    def __hash__(self) -> int:
+        return hash(self._data)
+
     def __iter__(self) -> Iterator[Any]:
         return iter(self._data)
 
+    def __len__(self) -> int:
+        return len(self._data)
+
+    def __repr__(self) -> str:
+        tmp = self._data.to_frame()
+        tmp.columns = [self.name]
+        return tmp.__repr__()
+
+    def __str__(self) -> str:
+        tmp = self._data.to_frame()
+        tmp.columns = [self.name]
+        return tmp.__str__()
+
     def get_value(self, index: int) -> Any:
         """
         Return column value at specified index, starting at 0.
@@ -76,10 +103,6 @@ def get_value(self, index: int) -> Any:
 
         return self._data[index]
 
-    @property
-    def statistics(self) -> ColumnStatistics:
-        return ColumnStatistics(self)
-
     def count(self) -> int:
         """
         Return the number of elements in the column.
@@ -226,26 +249,6 @@ def get_unique_values(self) -> list[typing.Any]:
         """
         return list(self._data.unique())
 
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, Column):
-            return NotImplemented
-        if self is other:
-            return True
-        return self._data.equals(other._data) and self.name == other.name
-
-    def __hash__(self) -> int:
-        return hash(self._data)
-
-    def __str__(self) -> str:
-        tmp = self._data.to_frame()
-        tmp.columns = [self.name]
-        return tmp.__str__()
-
-    def __repr__(self) -> str:
-        tmp = self._data.to_frame()
-        tmp.columns = [self.name]
-        return tmp.__repr__()
-
     def _ipython_display_(self) -> DisplayHandle:
         """
         Return a display object for the column to be used in Jupyter Notebooks.

src/safeds/data/tabular/_row.py

@@ -19,6 +19,9 @@ def __getitem__(self, column_name: str) -> Any:
     def __iter__(self) -> typing.Iterator[Any]:
         return iter(self._data)
 
+    def __len__(self) -> int:
+        return len(self._data)
+
     def get_value(self, column_name: str) -> Any:
         """
         Return the value of a specified column.
@@ -37,6 +40,17 @@ def get_value(self, column_name: str) -> Any:
             raise UnknownColumnNameError([column_name])
         return self._data[self.schema._get_column_index_by_name(column_name)]
 
+    def count(self) -> int:
+        """
+        Return the number of columns in this row.
+
+        Returns
+        -------
+        count : int
+            The number of columns.
+        """
+        return len(self._data)
+
     def has_column(self, column_name: str) -> bool:
         """
         Return whether the row contains a given column.

tests/safeds/data/tabular/_column/test_column.py

@@ -9,7 +9,7 @@ def test_from_columns() -> None:
     assert column1._type == column2._type
 
 
-def negative_test_from_columns() -> None:
+def test_from_columns_negative() -> None:
     column1 = Column(pd.Series([1, 4]), "A")
     column2 = Column(pd.Series(["2", "5"]), "B")