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PBrockmann/legend_interactiv.ipynb

Last active May 24, 2017 16:00
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bokeh interactiv legend CustomJS
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legend_interactiv.ipynb
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"source": [
"import numpy as np\n",
"import random\n",
"\n",
"import bokeh\n",
"import bokeh.plotting as bk\n",
"from bokeh.plotting import figure, output_file, show, save\n",
"from bokeh.models import CustomJS\n",
"from bokeh.models.widgets import CheckboxButtonGroup\n",
"from bokeh.layouts import widgetbox, layout\n",
"\n",
"bk.output_notebook()"
]
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" else document.addEventListener(\"DOMContentLoaded\", fn);\n",
" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"1fe0b9eb-1db2-4199-8796-5e7127afdd6e\")).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
" }(this));\n",
"</script>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"t = np.arange(0.0, 2.0, 0.01)\n",
"s = np.sin(3*np.pi*t)\n",
"c = np.cos(3*np.pi*t)\n",
"r = [random.random() for i in t]\n",
"\n",
"t2 = np.append(t, t[::-1])\n",
"sr_high = s + r\n",
"sr_low = s - r\n",
"sr2 = np.append(sr_high, sr_low[::-1])\n",
"cr_high = c + r\n",
"cr_low = c - r\n",
"cr2 = np.append(cr_high, cr_low[::-1])\n",
"\n",
"plot = figure(plot_width=600, plot_height=400)\n",
"ls = plot.line(t, s, line_width=3, line_alpha=0.6, line_color='blue', legend='Sinus')\n",
"lc = plot.line(t, c, line_width=3, line_alpha=0.6, line_color='red', legend='Cosinus')\n",
"\n",
"ps = plot.patch(t2, sr2, line_width=1, fill_alpha=0.2, line_alpha=0, fill_color='blue')\n",
"pc = plot.patch(t2, cr2, line_width=1, fill_alpha=0.2, line_alpha=0, fill_color='red')\n",
"\n",
"plot.legend.location = 'top_left'\n",
"plot.legend.click_policy = 'hide'\n",
"\n",
"ps.visible = pc.visible = False\n",
"\n",
"checkbox = CheckboxButtonGroup(labels=[\"Noise\"])\n",
"\n",
"js_callback = CustomJS(args=dict(ls=ls,ps=ps,lc=lc,pc=pc,checkbox=checkbox), code=\"\"\"\n",
"if (checkbox.active[0] == 0) {\n",
" pc.visible = lc.visible;\n",
" ps.visible = ls.visible;\n",
"} else {\n",
" pc.visible = false;\n",
" ps.visible = false;\n",
"}\n",
"\"\"\")\n",
"\n",
"ls.js_on_change('visible',js_callback)\n",
"lc.js_on_change('visible',js_callback)\n",
"checkbox.callback = js_callback\n",
"\n",
"l = layout([[checkbox],[plot]])\n",
"\n",
"show(l)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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