Modified header

Author: timtreis

notebooks/examples/speed_up_illustration.ipynb

@@ -1,34 +1,34 @@
 {
  "cells": [
   {
-   "cell_type": "code",
-   "execution_count": 5,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "import warnings\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import spatialdata as sd\n",
-    "import spatialdata_plot\n",
-    "\n",
-    "warnings.filterwarnings(\"ignore\")"
+    "# Implicit Performance Improvements"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Implicit Performance Improvements"
+    "This notebook illustrates how the performance is automatically improved when rendering images/labels and what to consider when plotting multiscale-images/-labels. A heuristic approach is used to achieve fast rendering times, however, there are multiple ways to change the default behavior.\n",
+    "\n",
+    "The example dataset can be downloaded [here](https://s3.embl.de/spatialdata/spatialdata-sandbox/visium_associated_xenium_io.zip)."
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 5,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "This notebook illustrates how the performance is automatically improved when rendering images/labels and what to consider when plotting multiscale-images/-labels. A heuristic approach is used to achieve fast rendering times, however, there are multiple ways to change the default behavior.\n",
+    "import warnings\n",
     "\n",
-    "The example dataset can be downloaded [here](https://s3.embl.de/spatialdata/spatialdata-sandbox/visium_associated_xenium_io.zip)."
+    "import matplotlib.pyplot as plt\n",
+    "import spatialdata as sd\n",
+    "import spatialdata_plot\n",
+    "\n",
+    "warnings.filterwarnings(\"ignore\")"
    ]
   },
   {