ENH: adds visual feedback when exporting in csv and json

Author: GMinoruy

docs/notebooks/monte_carlo_analysis/monte_carlo_class_usage.ipynb

@@ -811,9 +811,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Results saved to monte_carlo_analysis_outputs/monte_carlo_csv_output_example as .csv file\n",
+      "Results saved to monte_carlo_analysis_outputs/monte_carlo_json_output_example as .json file\n"
+     ]
+    }
+   ],
    "source": [
     "test_dispersion.export_results(\"monte_carlo_analysis_outputs/monte_carlo_csv_output_example\", \"csv\")\n",
     "test_dispersion.export_results(\"monte_carlo_analysis_outputs/monte_carlo_json_output_example\", \"json\")"

rocketpy/simulation/monte_carlo.py

@@ -601,12 +601,14 @@ def export_results(self, output_filename, output_format):
         if output_format == "json":
             with open(f"{output_filename}.json", "w", encoding="utf-8") as f:
                 json.dump(txt_data, f, indent=4)
+                _SimMonitor.reprint(f"Results saved to {Path(output_filename)} as .json file")
         elif output_format == "csv":
             output_csv_header = txt_data[0].keys()
             with open(f"{output_filename}.csv", "w", newline= "") as f:
                 output_writer = csv.DictWriter(f, fieldnames=output_csv_header)
                 output_writer.writeheader()
                 output_writer.writerows(txt_data)
+                _SimMonitor.reprint(f"Results saved to {Path(output_filename)} as .csv file")
 
     def __terminate_simulation(self):
         """