rename some variable names

notebooks/side_view_experiments.ipynb

@@ -216,8 +216,8 @@
    "metadata": {},
    "source": [
     "retrieve the following attributes required for the transformation:\n",
-    "- ```min```: min boundary of the straight area (measurement area) (if applicable).\n",
-    "- ```max```: max boundary of the straight area (measurement area) (if applicable).\n",
+    "- ```min_bound```: min boundary of the straight area (measurement area) (if applicable).\n",
+    "- ```max_bound```: max boundary of the straight area (measurement area) (if applicable).\n",
     "- ```unit```: 100 if data are in cm. Otherwise 1."
    ]
   },
@@ -227,8 +227,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "min = e.Min\n",
-    "max = e.Max\n",
+    "min_bound = e.Min\n",
+    "max_bound = e.Max\n",
     "unit = e.unit"
    ]
   },
@@ -256,7 +256,7 @@
     "    data_traj_tranformed = data_traj_raw.copy()\n",
     "    data_traj_tranformed[[\"x(m)\",\"y(m)\"]]=pd.DataFrame(x_y_transformed, columns=[\"x(m)\",\"y(m)\"])\n",
     "\n",
-    "    if (min is not None) and (max is not None):  # data inside measurement area (unique for each experiment)\n",
+    "    if (min_bound is not None) and (max_bound is not None):  # data inside measurement area (unique for each experiment)\n",
     "        data_traj_tranformed = data_traj_tranformed[((data_traj_tranformed['x(m)'] / unit) >= min) & ((data_traj_tranformed['y(m)'] / unit) <= max)]\n",
     "\n",
     "    dict_transformation_additional[key] = data_traj_tranformed\n",