update colorbar

examples/at_array_as_sensor/at_array_as_sensor.ipynb

@@ -16,6 +16,7 @@
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
     "import numpy as np\n",
     "\n",
     "from kwave.data import Vector\n",
@@ -176,11 +177,23 @@
     "    3: 'PML Mask',\n",
     "}\n",
     "\n",
-    "colorbar = plt.colorbar(c, ticks=list(labels.keys()), ax=ax)\n",
-    "colorbar.ax.set_yticklabels(list(labels.values()))\n",
+    "bounds = np.linspace(0, len(labels), len(labels)+1)\n",
+    "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n",
     "\n",
-    "ax.set_xticks([])\n",
-    "ax.set_yticks([])\n",
+    "ax2 = fig.add_axes([0.95, 0.1, 0.03, 0.8])\n",
+    "cb = mpl.colorbar.ColorbarBase(ax2, cmap=cmap, norm=norm,\n",
+    "    spacing='proportional', ticks=bounds, boundaries=bounds, format='%1i')\n",
+    "\n",
+    "# Update the title and label as before\n",
+    "ax.set_title('Simulation Layout')\n",
+    "ax2.set_ylabel('Simulation Components [-]', size=12)\n",
+    "\n",
+    "# Calculate the middle points for each segment of the colorbar\n",
+    "mid_points = [(bounds[i] + bounds[i+1])/2 for i in range(len(bounds)-1)]\n",
+    "\n",
+    "# Set the new tick positions and labels\n",
+    "ax2.set_yticks(mid_points)\n",
+    "ax2.set_yticklabels(list(labels.values()))\n",
     "\n",
     "plt.show()"
    ]
@@ -239,7 +252,15 @@
    "name": "python3"
   },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3"
   }
  },
  "nbformat": 4,