fixed UnknownError

src/safeds/data/tabular/containers/_time_series.py

@@ -948,20 +948,14 @@ def plot_time_series_lineplot(self, y_column_name: str | None = None,
         self._data.index.name = "index"
         if y_column_name is None:
             y_column_name = self.target.name
+        else:
+            if y_column_name not in self._data.columns:
+                raise UnknownColumnNameError([y_column_name])
         if x_column_name is None:
             x_column_name = "index"
         else:
-            if not self.get_column(x_column_name).type.is_numeric():
-                raise NonNumericColumnError("The time series plotted column contains non-numerical columns.")
-            if not self.has_column(x_column_name) or not self.has_column(y_column_name):
-                similar_columns_x = self._get_similar_columns(x_column_name)
-                similar_columns_y = self._get_similar_columns(y_column_name)
-                raise UnknownColumnNameError(
-                    ([x_column_name] if not self.has_column(x_column_name) else [])
-                    + ([y_column_name] if not self.has_column(y_column_name) else []),
-                    (similar_columns_x if not self.has_column(x_column_name) else [])
-                    + (similar_columns_y if not self.has_column(y_column_name) else []),
-                )
+            if x_column_name not in self._data.columns:
+                raise UnknownColumnNameError([x_column_name])
         if not self.get_column(y_column_name).type.is_numeric():
             raise NonNumericColumnError("The time series plotted column contains non-numerical columns.")
 
@@ -1029,20 +1023,14 @@ def plot_time_series_scatterplot(
         self._data.index.name = "index"
         if y_column_name is None:
             y_column_name = self.target.name
+        else:
+            if y_column_name not in self._data.columns:
+                raise UnknownColumnNameError([y_column_name])
         if x_column_name is None:
             x_column_name = "index"
         else:
-            if not self.get_column(x_column_name).type.is_numeric():
-                raise NonNumericColumnError("The time series plotted column contains non-numerical columns.")
-            if not self.has_column(x_column_name) or not self.has_column(y_column_name):
-                similar_columns_x = self._get_similar_columns(x_column_name)
-                similar_columns_y = self._get_similar_columns(y_column_name)
-                raise UnknownColumnNameError(
-                    ([x_column_name] if not self.has_column(x_column_name) else [])
-                    + ([y_column_name] if not self.has_column(y_column_name) else []),
-                    (similar_columns_x if not self.has_column(x_column_name) else [])
-                    + (similar_columns_y if not self.has_column(y_column_name) else []),
-                )
+            if x_column_name not in self._data.columns:
+                raise UnknownColumnNameError([x_column_name])
         if not self.get_column(y_column_name).type.is_numeric():
             raise NonNumericColumnError("The time series plotted column contains non-numerical columns.")
 

tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_plot_time_series.py

@@ -122,7 +122,7 @@ def test_should_raise_if_column_contains_non_numerical_values() -> None:
             r" non-numerical columns."
         ),
     ):
-        table.plot_time_series_lineplot()
+        table.plot_time_series_lineplot( x_column_name="target")
 
 
 @pytest.mark.parametrize(
@@ -227,3 +227,40 @@ def test_should_raise_error_optional_parameter_y(
         match=error_msg,
     ):
         time_series.plot_time_series_lineplot(y_column_name=name)
+def test_should_raise_if_column_does_not_exist_x() -> None:
+    table = TimeSeries(
+        {
+            "time": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "feature_1": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "target": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+        },
+        target_name="target",
+        time_name="time",
+        feature_names=None,
+    )
+    with pytest.raises(
+        UnknownColumnNameError,
+        match=(
+            "Could not find column\(s\) '2'."
+        ),
+    ):
+        table.plot_time_series_lineplot( x_column_name="target", y_column_name="2")
+
+def test_should_raise_if_column_does_not_exist_y() -> None:
+    table = TimeSeries(
+        {
+            "time": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "feature_1": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "target": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+        },
+        target_name="target",
+        time_name="time",
+        feature_names=None,
+    )
+    with pytest.raises(
+        UnknownColumnNameError,
+        match=(
+            "Could not find column\(s\) '2'."
+        ),
+    ):
+        table.plot_time_series_lineplot( x_column_name="2", y_column_name="target")

tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_plot_time_series_scatter.py

@@ -219,3 +219,41 @@ def test_should_raise_error_optional_parameter_y(
         match=error_msg,
     ):
         time_series.plot_time_series_scatterplot(y_column_name=name)
+
+def test_should_raise_if_column_does_not_exist_x() -> None:
+    table = TimeSeries(
+        {
+            "time": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "feature_1": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "target": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+        },
+        target_name="target",
+        time_name="time",
+        feature_names=None,
+    )
+    with pytest.raises(
+        UnknownColumnNameError,
+        match=(
+            "Could not find column\(s\) '2'."
+        ),
+    ):
+        table.plot_time_series_scatterplot( x_column_name="target", y_column_name="2")
+
+def test_should_raise_if_column_does_not_exist_y() -> None:
+    table = TimeSeries(
+        {
+            "time": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "feature_1": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+            "target": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+        },
+        target_name="target",
+        time_name="time",
+        feature_names=None,
+    )
+    with pytest.raises(
+        UnknownColumnNameError,
+        match=(
+            "Could not find column\(s\) '2'."
+        ),
+    ):
+        table.plot_time_series_scatterplot( x_column_name="2", y_column_name="target")