Article Fixes (#121)

* set default top_n to 20 for heatmap

* Hide Advanced: Hash fuctions in Data Anonymization notebook

- Hide the last 2 cells for now because they don't work as expected (maps all predictors as symbolic)
- Changed the way we get the path of SampleHDS.json. I think this way it is more understandable.

examples/hds/Example_Data_Anonymization.ipynb

@@ -25,8 +25,12 @@
                 "# These lines are only for rendering in the docs, and are hidden through Jupyter tags\n",
                 "# Do not run if you're running the notebook seperately\n",
                 "\n",
+                "import os  \n",
                 "import sys\n",
-                "sys.path.append('../../../')"
+                "\n",
+                "current_dir = os.getcwd()  \n",
+                "base_dir = os.path.dirname(os.path.dirname(current_dir))  \n",
+                "sys.path.append(base_dir)  "
             ]
         },
         {
@@ -56,7 +60,8 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "pl.read_ndjson('../../../../data/SampleHDS.json')"
+                "json_file_path = os.path.join(base_dir, 'data', 'SampleHDS.json')  \n",
+                "pl.read_ndjson(json_file_path)"
             ]
         },
         {
@@ -73,7 +78,8 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "anon = DataAnonymization(hds_folder='../../../../data/')"
+                "hds_path = os.path.join(base_dir, 'data')  \n",
+                "anon = DataAnonymization(hds_folder=hds_path, sample_percentage_schema_inferencing=0.99)"
             ]
         },
         {
@@ -154,7 +160,7 @@
             "outputs": [],
             "source": [
                 "anon = DataAnonymization(\n",
-                "    hds_folder='../../../../data/',\n",
+                "    hds_folder=hds_path,\n",
                 "    mask_ih_names=False,\n",
                 "    mask_outcome_values=False,\n",
                 "    mask_context_key_values=False,\n",
@@ -235,7 +241,9 @@
         {
             "attachments": {},
             "cell_type": "markdown",
-            "metadata": {},
+            "metadata": {
+                "nbsphinx": "hidden"
+            },
             "source": [
                 "## Advanced: Hash fuctions\n",
                 "\n",
@@ -253,7 +261,9 @@
         {
             "cell_type": "code",
             "execution_count": null,
-            "metadata": {},
+            "metadata": {
+                "nbsphinx": "hidden"
+            },
             "outputs": [],
             "source": [
                 "from hashlib import sha3_256\n",
@@ -278,7 +288,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.11.0"
+            "version": "3.11.4"
         },
         "orig_nbformat": 4,
         "vscode": {

python/pdstools/plots/plot_base.py

@@ -1084,7 +1084,7 @@ def plotPredictorContribution(
 
     def plotPredictorPerformanceHeatmap(
         self,
-        top_n: int = 0,
+        top_n: int = 20,
         by="Name",
         active_only: bool = False,
         query: Optional[Union[pl.Expr, str, Dict[str, list]]] = None,