From 0f24cfc1775d08de064b3a795f5826fabe764208 Mon Sep 17 00:00:00 2001
From: rch <rostislav.chudoba@rwth-aachen.de>
Date: Sat, 18 Apr 2020 18:36:57 +0200
Subject: [PATCH] autostart in appmode
---
README.md | 6 ++--
geo/{Gnomon.ipynb => gnomon.ipynb} | 32 +++++++++--------
index.ipynb | 56 ++++++++++--------------------
3 files changed, 39 insertions(+), 55 deletions(-)
rename geo/{Gnomon.ipynb => gnomon.ipynb} (68%)
diff --git a/README.md b/README.md
index 7d01eb7..99051cd 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,8 @@
# bmcsapps
-Try this
-[](https://mybinder.org/v2/gh/rosoba/bmcsapps.git/master?urlpath=apps%2Findex.ipynb)
+Start the application using the link
-and then this
+[](https://mybinder.org/v2/gh/rosoba/bmcsapps.git/master?urlpath=apps%2Findex.ipynb)
-[](https://mybinder.org/v2/gh/binder-examples/appmode/master?urlpath=apps%2Findex.ipynb)
diff --git a/geo/Gnomon.ipynb b/geo/gnomon.ipynb
similarity index 68%
rename from geo/Gnomon.ipynb
rename to geo/gnomon.ipynb
index 93618c1..e93a4c0 100644
--- a/geo/Gnomon.ipynb
+++ b/geo/gnomon.ipynb
@@ -2,8 +2,10 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 9,
- "metadata": {},
+ "execution_count": 3,
+ "metadata": {
+ "hide_input": true
+ },
"outputs": [],
"source": [
"%matplotlib notebook\n",
@@ -17,6 +19,7 @@
{
"cell_type": "markdown",
"metadata": {
+ "hide_input": true,
"slideshow": {
"slide_type": "slide"
}
@@ -35,6 +38,7 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
+ "hide_input": false,
"slideshow": {
"slide_type": "fragment"
}
@@ -44,9 +48,9 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 8,
"metadata": {
- "hide_input": false,
+ "hide_input": true,
"scrolled": false,
"slideshow": {
"slide_type": "slide"
@@ -833,7 +837,7 @@
{
"data": {
"text/html": [
- "<img 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\" 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\" width=\"600\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
@@ -845,12 +849,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "8c6a6dc10e3d485b9646b548456b4184",
+ "model_id": "8ad5aa89d9894effbf5db976dd0ef113",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "Output()"
+ "interactive(children=(FloatSlider(value=0.0, description='Schieber', max=1.0), FloatSlider(value=5.0, descript…"
]
},
"metadata": {},
@@ -859,7 +863,7 @@
],
"source": [
"h, g = 6., 10.\n",
- "fig, ax = plt.subplots(1,1, figsize=(6,6))\n",
+ "fig, ax = plt.subplots(1,1, figsize=(6,4))\n",
"base, = ax.fill([0, g, g, 0], [0, 0, h, h], color='yellow', alpha=1)\n",
"ax.axis('equal')\n",
"eta = 0.4\n",
@@ -883,17 +887,17 @@
" print('F2: %g * %g = %g' % ((1-eta)*g, eta*h, (1-eta)*g * eta*h))\n",
" print('U2: 2*(%g + %g) = %g' % ((1-eta)*g, eta*h, 2*((1-eta)*g + eta*h)))\n",
"\n",
- "out = ipw.interactive_output(update, \n",
- " dict(eta=ipw.FloatSlider(description='Schieber', min=0, max=1, step=0.1),\n",
- " g=ipw.FloatSlider(min=5, max=10, step=1)));\n",
- "\n",
- "display(out)"
+ "ipw.interact(update, \n",
+ " eta=ipw.FloatSlider(description='Schieber', min=0, max=1, step=0.1),\n",
+ " g=ipw.FloatSlider(min=5, max=10, step=1));\n"
]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "hide_input": true
+ },
"outputs": [],
"source": []
},
diff --git a/index.ipynb b/index.ipynb
index e20d5b8..590068b 100644
--- a/index.ipynb
+++ b/index.ipynb
@@ -4,53 +4,22 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Appmode in Jupyter\n",
+ "# BMCS applications\n",
"\n",
"This page demonstrates how to generate online \"apps\" with a Jupyter Notebook interface. With the `appmode` plugin, we can create interactive experiences without requiring coding or running a specific cell.\n",
"\n",
"Markdown cells will be retained, and all code cells will be run, then hidden. The outputs of each cell will be displayed as well.\n",
"\n",
- "Check out a further example using an [ipyvolume](https://ipyvolume.readthedocs.io/en/latest/) to render a 3D plot: [ipyvolume_demo.ipynb](ipyvolume_demo.ipynb)"
+ " - Test with of interaction on gnomon: [geo/gnomon.ipynb](geo/gnomon.ipynb)\n",
+ " - Pullout simulator: [notebooks/pullout1d.ipynb](notebooks/pullout1d.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
- "source": [
- "from __future__ import division\n",
- "import ipywidgets as ipw\n",
- "\n",
- "output = ipw.Text(placeholder=\"0\", layout=ipw.Layout(width=\"190px\"), disabled=True)\n",
- "\n",
- "def on_click(btn):\n",
- " if btn.description == \"=\":\n",
- " try:\n",
- " output.value = str(eval(output.value))\n",
- " except:\n",
- " output.value = \"ERROR\"\n",
- " elif btn.description == \"AC\":\n",
- " output.value = \"\"\n",
- " elif btn.description == \"del\":\n",
- " output.value = output.value[:-1]\n",
- " else:\n",
- " output.value = output.value + btn.description\n",
- "\n",
- "def mk_btn(description):\n",
- " btn = ipw.Button(description=description, layout=ipw.Layout(width=\"45px\"))\n",
- " btn.on_click(on_click)\n",
- " return btn\n",
- "\n",
- "row0 = ipw.HBox([mk_btn(d) for d in (\"(\", \")\", \"del\", \"AC\")])\n",
- "row1 = ipw.HBox([mk_btn(d) for d in (\"7\", \"8\", \"9\", \" / \")])\n",
- "row2 = ipw.HBox([mk_btn(d) for d in (\"4\", \"5\", \"6\", \" * \")])\n",
- "row3 = ipw.HBox([mk_btn(d) for d in (\"1\", \"2\", \"3\", \" - \")])\n",
- "row4 = ipw.HBox([mk_btn(d) for d in (\"0\", \".\", \"=\", \" + \")])\n",
- "ipw.VBox((output, row0, row1, row2, row3, row4))"
- ]
+ "source": []
}
],
"metadata": {
@@ -69,7 +38,20 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.2"
+ "version": "3.7.7"
+ },
+ "toc": {
+ "base_numbering": 1,
+ "nav_menu": {},
+ "number_sections": true,
+ "sideBar": true,
+ "skip_h1_title": false,
+ "title_cell": "Table of Contents",
+ "title_sidebar": "Contents",
+ "toc_cell": false,
+ "toc_position": {},
+ "toc_section_display": true,
+ "toc_window_display": true
}
},
"nbformat": 4,
--
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