use navdata not pandas in looping tutorial

Author: betaBison

notebooks/tutorials/navdata.ipynb

@@ -406,9 +406,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nav_data_csv = nav_data_csv.remove(rows=['new_row', 'new_string_row'])\n",
-    "print(nav_data_csv.rows)\n",
-    "print(nav_data_csv.shape)"
+    "nav_data_removed = nav_data_csv.remove(rows=['new_row', 'new_string_row'])\n",
+    "print(nav_data_removed.rows)\n",
+    "print(nav_data_removed.shape)"
    ]
   },
   {
@@ -417,8 +417,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nav_data_csv = nav_data_csv.remove(cols=[0, 1])\n",
-    "print(nav_data_csv.shape)"
+    "nav_data_removed = nav_data_csv.remove(cols=[0, 1])\n",
+    "print(nav_data_removed.shape)"
    ]
   },
   {
@@ -514,11 +514,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "for timestamp, delta_t, small_nav_data in nav_data_pd.loop_time('myTimestamp'):\n",
+    "for timestamp, delta_t, nav_data_subset in nav_data_csv.loop_time('myTimestamp'):\n",
     "    print('Current timestamp: ', timestamp)\n",
     "    print('Difference between current and future time step', delta_t)\n",
     "    print('Current group of data')\n",
-    "    print(small_nav_data.pandas_df())"
+    "    print(nav_data_subset.pandas_df())"
    ]
   },
   {