address comment

Signed-off-by: Nitish Bharambe <[email protected]>

Author: nitbharambe

docs/examples/arrow_example.ipynb

@@ -273,12 +273,7 @@
     "Converting Arrow data to columnar NumPy arrays is recommended to leverage the columnar nature of Arrow data. \n",
     "This conversion can be done with zero-copy operations.\n",
     "\n",
-    "A similar approach be adopted by the user to convert to row based data.\n",
-    "\n",
-    "```{note}\n",
-    "The option of `zero_copy_only` in the function below and assert for correct dtype is added in this demo to verify no copies are made. \n",
-    "Its usage is not mandatory to do zero copy conversion.\n",
-    "```"
+    "A similar approach be adopted by the user to convert to row based data."
    ]
   },
   {
@@ -303,6 +298,8 @@
     "    result = {}\n",
     "    result_dtype = power_grid_meta_data[dataset_type][component_type].dtype\n",
     "    for name, column in zip(data.column_names, data.columns):\n",
+    "        # The use of zero_copy_only=True and assert statement is to verify if no copies are made. \n",
+    "        # They are not mandatory for a zero-copy conversion.\n",
     "        column_data = column.to_numpy(zero_copy_only=True)\n",
     "        assert column_data.dtype == result_dtype[name]\n",
     "        result[name] = column_data.astype(dtype=result_dtype[name], copy=False)\n",
@@ -813,7 +810,7 @@
     {
      "data": {
       "text/plain": [
-       "<pyarrow.lib.DoubleArray object at 0x0000020F64403820>\n",
+       "<pyarrow.lib.DoubleArray object at 0x000001C0F99C7AC0>\n",
        "[\n",
        "  1,\n",
        "  0.01,\n",