docs(tutorials): Rectify main sequence plot in 10-minutes tutorial (#416

)
aeye-lab · May 17, 2023 · 44bd0c0 · 44bd0c0
1 parent a02c9e6
commit 44bd0c0
Showing 1 changed file with 8 additions and 8 deletions.
diff --git a/docs/source/tutorials/pymovements-in-10-minutes.ipynb b/docs/source/tutorials/pymovements-in-10-minutes.ipynb
@@ -214,8 +214,8 @@
    "outputs": [],
    "source": [
     "subset = {\n",
-    "    'text_id': [1, 2],\n",
-    "    'page_id': 1,\n",
+    "    'text_id': [0],\n",
+    "    'page_id': [0, 1, 2],\n",
     "}\n",
     "dataset.load(subset=subset)\n",
     "\n",
@@ -328,7 +328,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dataset.detect_events('microsaccades', minimum_duration=12)\n",
+    "dataset.detect_events('microsaccades', minimum_duration=8)\n",
     "\n",
     "dataset.events[0].frame.filter(pl.col('name') == 'saccade').head()"
    ]
@@ -351,7 +351,7 @@
     "We now want to compute some additional properties for each event.\n",
     "Event properties are things like peak velocity, amplitude and dispersion during an event.\n",
     "\n",
-    "We start out with computing the peak velocity:"
+    "We start out with computing the dispersion:"
    ]
   },
   {
@@ -361,7 +361,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dataset.compute_event_properties(\"peak_velocity\")\n",
+    "dataset.compute_event_properties(\"dispersion\")\n",
     "\n",
     "dataset.events[0].frame.head()"
    ]
@@ -371,9 +371,9 @@
    "id": "199e4b8a",
    "metadata": {},
    "source": [
-    "We notice that a new column with the name `peak_velocity` has appeared in the event dataframe.\n",
+    "We notice that a new column with the name `dispersion` has appeared in the event dataframe.\n",
     "\n",
-    "We can also pass a list of properties. Let's add the amplitude and dispersion:"
+    "We can also pass a list of properties. Let's add the amplitude and peak velocity:"
    ]
   },
   {
@@ -383,7 +383,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dataset.compute_event_properties([\"amplitude\", \"dispersion\"])\n",
+    "dataset.compute_event_properties([\"amplitude\", \"peak_velocity\"])\n",
     "\n",
     "dataset.events[0].frame.head()"
    ]