trigger for doc-build: corrected uea-notebook tutorial

INM-6 · Jun 2, 2023 · d6ce403 · d6ce403
1 parent b3616cb
commit d6ce403
Showing 1 changed file with 78 additions and 4 deletions.
diff --git a/doc/tutorials/unitary_event_analysis.ipynb b/doc/tutorials/unitary_event_analysis.ipynb
@@ -494,18 +494,92 @@
    "outputs": [],
    "source": [
     "UE = ue.jointJ_window_analysis(\n",
-    "    spiketrains, bin_size=5*pq.ms, winsize=100*pq.ms, winstep=10*pq.ms, pattern_hash=[3])\n",
+    "    spiketrains=spiketrains, bin_size=5*pq.ms, win_size=100*pq.ms, win_step=10*pq.ms, pattern_hash=[3])\n",
     "\n",
     "plot_ue(spiketrains, UE, significance_level=0.05)\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ipywidgets import FloatSlider\n",
+    "\n",
+    "s1 = FloatSlider(description='Blue handle')\n",
+    "s1.style.handle_color = 'blue'\n",
+    "s1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1.style.keys"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s2 = FloatSlider(\n",
+    "    value=7.5*pq.ms,\n",
+    "    min=0*pq.ms,\n",
+    "    max=10.0*pq.ms,\n",
+    "    step=0.1*pq.ms,\n",
+    "    description='Test:',\n",
+    "    disabled=False,\n",
+    "    continuous_update=False,\n",
+    "    orientation='horizontal',\n",
+    "    readout=True,\n",
+    "    readout_format='.3f',\n",
+    ")\n",
+    "s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import namedtuple\n",
+    "import param\n",
+    "import quantities as pq\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# symbol is for use in plots\n",
+    "\n",
+    "Label = namedtuple(\"Label\", \"symbol unit\")\n",
+    "v_label = Label(\"v_{max.}\", pq.km/pq.h)\n",
+    "p_label = Label(\"P_{nom.}\", pq.W)\n",
+    "tau_label = Label(\"tau_{nom.}\", pq.N*pq.m)\n",
+    "\n",
+    "class Car(param.Parameterized):\n",
+    "    speed = param.Number(bounds=(0, None), doc=\"Top speed\", label=v_label)\n",
+    "    power = param.Number(bounds=(0, None), doc=\"Nominal power\", label=p_label)\n",
+    "    torque = param.Number(bounds=(0, None), doc=\"Nominal torque\", label=tau_label)\n",
+    "\n",
+    "car = Car(speed=30, power=2, torque=55)\n",
+    "\n",
+    "print(car.param.speed.label)\n",
+    "print(car.param.power.label)\n",
+    "print(car.param.torque.label)\n",
+    "\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "inm-elephant",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "inm-elephant"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -517,7 +591,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.6"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,