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walter9388/demo_line_highlighting.ipynb

Created December 17, 2019 11:42
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demo_line_highlighting.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Demo markdown cell"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'callbackfunctions' is not defined",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-4-ae0a41649ae6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[0mf0\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 78\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 79\u001b[1;33m \u001b[1;33m@\u001b[0m\u001b[0minteract\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcallbackfunctions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 80\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcallbackfunctions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 81\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mNameError\u001b[0m: name 'callbackfunctions' is not defined"
]
}
],
"source": [
"from IPython.display import HTML\n",
"from ipywidgets import interact\n",
"\n",
"HTML('''<script>\n",
"code_show=true; \n",
"function code_toggle() {\n",
" if (code_show){\n",
" $('div.input').hide();\n",
" } else {\n",
" $('div.input').show();\n",
" }\n",
" code_show = !code_show\n",
"} \n",
"$( document ).ready(code_toggle);\n",
"</script>\n",
"The raw code for this IPython notebook is by default hidden for easier reading.\n",
"To toggle on/off the raw code, click <a href=\"javascript:code_toggle()\">here</a>.''')\n",
"\n",
"import plotly.graph_objects as go\n",
"# import chart_studio.plotly as py\n",
"import plotly.io as pio\n",
"from copy import copy\n",
"import numpy as np\n",
"np.random.seed(1)\n",
"\n",
"pio.renderers.default = \"browser\"\n",
"\n",
"n=10\n",
"\n",
"x = np.arange(0,n)\n",
"y1 = np.random.rand(n)\n",
"y2 = np.random.rand(n)\n",
"y3 = np.random.rand(n)\n",
"y4 = np.random.rand(n)\n",
"y5 = np.random.rand(n)\n",
"y6 = np.random.rand(n)\n",
"y7 = np.random.rand(n)\n",
"\n",
"names=['Set 1','Set 2','Set 3']\n",
"\n",
"colours=['crimson','darkturquoise','lime']\n",
"\n",
"f = go.FigureWidget([go.Scatter(x=x, y=y1, name=names[0]),\n",
" go.Scatter(x=x, y=y2, name=names[0]),\n",
" go.Scatter(x=x, y=y3, name=names[1]),\n",
" go.Scatter(x=x, y=y4, name=names[1]),\n",
" go.Scatter(x=x, y=y5, name=names[2]),\n",
" go.Scatter(x=x, y=y6, name=names[2]),\n",
" go.Scatter(x=x, y=y7, name=names[2]),\n",
" ])\n",
"\n",
"uniquecol={}\n",
"ii=0\n",
"# change info for hover tings \n",
"for i in range(len(f.data)):\n",
" f.data[i].mode='lines'\n",
" f.data[i].hoverlabel.namelength=0\n",
" f.data[i].text=[f.data[i].name for j in range(n)]\n",
" f.data[i].hovertemplate = '<b>%{text}</b>:' + '<br>X: %{x}' + '<br>Y: %{y:.2f}</br>'\n",
" if f.data[i].name not in uniquecol:\n",
" uniquecol[f.data[i].name]=ii\n",
" ii += 1\n",
" f.data[i].showlegend=True\n",
" else:\n",
" f.data[i].showlegend=False\n",
" f.data[i].line=dict(color=colours[uniquecol[f.data[i].name]])\n",
" f.data[i].opacity=1\n",
" f.data[i].line.width=2\n",
" \n",
"\n",
"f.layout.hovermode = 'closest'\n",
"f.layout.title = 'Demo Line Highlighting Plot'\n",
"f.layout.xaxis.title = 'X'\n",
"f.layout.yaxis.title = 'Y'\n",
"\n",
"# save initial f as f0 to find initial colours and line sizes\n",
"f0=copy(f)\n",
"\n",
"@interact(callbackfunctions)\n",
"def callbackfunctions(f,j):\n",
" \n",
" temp=[f.data[i].name==f.data[j].name for i in range(len(f.data))]\n",
" \n",
" # create our callback function for hover\n",
" def update_point1(trace, points, selector):\n",
" if points.point_inds:\n",
" # c = '#bae2be'\n",
" s = f0.data[j].line.width*1.5\n",
" with f.batch_update():\n",
" for i in np.where(temp)[0]:\n",
" f.data[i].line.width = s\n",
" for i in np.where(~np.array(temp))[0]:\n",
" f.data[i].opacity = 0.5 \n",
" \n",
" # create our callback function for unhover\n",
" def update_point2(trace, points, selector):\n",
" if points.point_inds:\n",
" # c = f0.data[2].line.color\n",
" s = f0.data[j].line.width\n",
" with f.batch_update():#\n",
" for i in np.where(temp)[0]:\n",
" f.data[i].line.width = s\n",
" for i in np.where(~np.array(temp))[0]:\n",
" f.data[i].opacity = 1\n",
" \n",
" f.data[j].on_hover(update_point1)\n",
" f.data[j].on_unhover(update_point2)\n",
"\n",
"for i in range(len(f.data)):\n",
" callbackfunctions(f,i)\n",
"\n",
"f\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"a=1\n",
"b=2\n",
"print(a+b)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
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