docs: adjust to API changes

docs/datasets/disable_warnings.py

@@ -1,5 +1,7 @@
 """Disable output of warnings."""
 
+from __future__ import annotations
+
 import logging
 import warnings
 

docs/datasets/display_column_description.py

@@ -1,45 +1,29 @@
 """Display column descriptions."""
 
-import pandas as pd
-from IPython.core.display_functions import DisplayHandle
-from IPython.display import display
+from __future__ import annotations
+
+from IPython.core.display import DisplayObject
+from IPython.display import Markdown
 from safeds.data.tabular.containers import Table
 
 
-def display_column_descriptions(column_descriptions: Table) -> DisplayHandle:
+def display_column_descriptions(column_descriptions: Table) -> DisplayObject:
     """
     Display a Table containing the column descriptions.
 
     Parameters
     ----------
-    column_descriptions : Table
+    column_descriptions:
         The column descriptions.
 
     Returns
     -------
-    DisplayHandle
-        The display handle.
+    display_object:
+        The display object.
     """
-    # Remember the current value of the max_colwidth option
-    max_colwidth = pd.get_option("max_colwidth")
-
-    # Don't cut off the column descriptions
-    pd.set_option("max_colwidth", None)
-
-    # Create a DisplayHandle that displays the column descriptions nicely
-    styler = (
-        column_descriptions._data.style.relabel_index(["Name", "Description"], axis="columns")
-        .hide(axis="index")
-        .set_properties(
-            **{
-                "text-align": "left",
-                "white-space": "pre-wrap",
-            },
-        )
-    )
-    result = display(styler)
-
-    # Restore the max_colwidth option
-    pd.set_option("max_colwidth", max_colwidth)
-
-    return result
+    result = ""
+
+    for name, description in column_descriptions._data_frame.iter_rows():
+        result += f"- **{name}:** {description}\n"
+
+    return Markdown(result)

docs/datasets/house_sales.ipynb

@@ -53,9 +53,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "house_sales.slice_rows(end=10)"
-   ],
+   "source": "house_sales.data.slice_rows(length=10)",
    "metadata": {
     "collapsed": false
    }
@@ -73,9 +71,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "print(str(house_sales.schema))"
-   ],
+   "source": "print(str(house_sales.data.schema))",
    "metadata": {
     "collapsed": false
    }
@@ -93,9 +89,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "house_sales.summarize_statistics()"
-   ],
+   "source": "house_sales.data.summarize_statistics()",
    "metadata": {
     "collapsed": false
    }
@@ -114,7 +108,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "house_sales_correlation = house_sales.remove_columns([\n",
+    "house_sales_correlation = house_sales.data.remove_columns([\n",
     "    \"id\",\n",
     "    \"year\",\n",
     "    \"month\",\n",
@@ -123,7 +117,7 @@
     "    \"latitude\",\n",
     "    \"longitude\"\n",
     "])\n",
-    "house_sales_correlation.plot_correlation_heatmap()"
+    "house_sales_correlation.plot.correlation_heatmap()"
    ],
    "metadata": {
     "collapsed": false

docs/datasets/titanic.ipynb

@@ -53,9 +53,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "titanic.slice_rows(end=10)"
-   ],
+   "source": "titanic.data.slice_rows(length=10)",
    "metadata": {
     "collapsed": false
    }
@@ -73,9 +71,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "print(str(titanic.schema))"
-   ],
+   "source": "print(str(titanic.data.schema))",
    "metadata": {
     "collapsed": false
    }
@@ -93,9 +89,7 @@
    "cell_type": "code",
    "execution_count": null,
    "outputs": [],
-   "source": [
-    "titanic.summarize_statistics()"
-   ],
+   "source": "titanic.data.summarize_statistics()",
    "metadata": {
     "collapsed": false
    }
@@ -114,15 +108,15 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "titanic_correlation = titanic.keep_only_columns([\n",
+    "titanic_correlation = titanic.data.remove_columns_except([\n",
     "    \"age\",\n",
     "    \"siblings_spouses\",\n",
     "    \"parents_children\",\n",
     "    \"travel_class\",\n",
     "    \"fare\",\n",
     "    \"survived\"\n",
     "])\n",
-    "titanic_correlation.plot_correlation_heatmap()"
+    "titanic_correlation.plot.correlation_heatmap()"
    ],
    "metadata": {
     "collapsed": false

src/safeds_datasets/tabular/_house_sales/_house_sales.py

@@ -33,7 +33,7 @@ def load_house_sales() -> TableWithDescriptions:
             "floors": "Number of floors",
             "bedrooms": "Number of bedrooms",
             "bathrooms": (
-                "Number of bathrooms.\n\n"
+                "Number of bathrooms.\n"
                 "Fractional values indicate that components (toilet/sink/shower/bathtub) are missing."
             ),
             "waterfront": "Whether the building overlooks a waterfront (0 = no, 1 = yes)",
@@ -42,7 +42,7 @@ def load_house_sales() -> TableWithDescriptions:
             "grade": "Rating of building construction and design (1 to 13, higher is better)",
             "year_built": "Year the house was built",
             "year_renovated": (
-                "Year the house was last renovated.\n\nA value of 0 indicates that it was never renovated."
+                "Year the house was last renovated.\nA value of 0 indicates that it was never renovated."
             ),
             "sqft_lot_15nn": "Lot area of the 15 nearest neighbors in square feet",
             "sqft_living_15nn": "Interior living space of the 15 nearest neighbors in square feet",