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Created September 2, 2016 12:49
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:57.487480",
"start_time": "2016-09-02T13:47:57.133782"
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"collapsed": false,
"run_control": {
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}
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"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/saulius/.virtualenvs/scientific-py3/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
" warnings.warn(self.msg_depr % (key, alt_key))\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:58.130745",
"start_time": "2016-09-02T13:47:57.489294"
},
"collapsed": true
},
"outputs": [],
"source": [
"from matplotlib import pyplot as plt\n",
"import seaborn as sns\n",
"import mpld3\n",
"mpld3.enable_notebook()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:58.153767",
"start_time": "2016-09-02T13:47:58.132537"
},
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"outputs": [
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>a</th>\n",
" <th>b</th>\n",
" <th>labels</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.496714</td>\n",
" <td>-0.138264</td>\n",
" <td>Point #0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.647689</td>\n",
" <td>1.523030</td>\n",
" <td>Point #1</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>-0.234153</td>\n",
" <td>-0.234137</td>\n",
" <td>Point #2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1.579213</td>\n",
" <td>0.767435</td>\n",
" <td>Point #3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-0.469474</td>\n",
" <td>0.542560</td>\n",
" <td>Point #4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-0.463418</td>\n",
" <td>-0.465730</td>\n",
" <td>Point #5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.241962</td>\n",
" <td>-1.913280</td>\n",
" <td>Point #6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-1.724918</td>\n",
" <td>-0.562288</td>\n",
" <td>Point #7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>-1.012831</td>\n",
" <td>0.314247</td>\n",
" <td>Point #8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-0.908024</td>\n",
" <td>-1.412304</td>\n",
" <td>Point #9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>1.465649</td>\n",
" <td>-0.225776</td>\n",
" <td>Point #10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>0.067528</td>\n",
" <td>-1.424748</td>\n",
" <td>Point #11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>-0.544383</td>\n",
" <td>0.110923</td>\n",
" <td>Point #12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>-1.150994</td>\n",
" <td>0.375698</td>\n",
" <td>Point #13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>-0.600639</td>\n",
" <td>-0.291694</td>\n",
" <td>Point #14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>-0.601707</td>\n",
" <td>1.852278</td>\n",
" <td>Point #15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>-0.013497</td>\n",
" <td>-1.057711</td>\n",
" <td>Point #16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>0.822545</td>\n",
" <td>-1.220844</td>\n",
" <td>Point #17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>0.208864</td>\n",
" <td>-1.959670</td>\n",
" <td>Point #18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>-1.328186</td>\n",
" <td>0.196861</td>\n",
" <td>Point #19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" a b labels\n",
"0 0.496714 -0.138264 Point #0\n",
"1 0.647689 1.523030 Point #1\n",
"2 -0.234153 -0.234137 Point #2\n",
"3 1.579213 0.767435 Point #3\n",
"4 -0.469474 0.542560 Point #4\n",
"5 -0.463418 -0.465730 Point #5\n",
"6 0.241962 -1.913280 Point #6\n",
"7 -1.724918 -0.562288 Point #7\n",
"8 -1.012831 0.314247 Point #8\n",
"9 -0.908024 -1.412304 Point #9\n",
"10 1.465649 -0.225776 Point #10\n",
"11 0.067528 -1.424748 Point #11\n",
"12 -0.544383 0.110923 Point #12\n",
"13 -1.150994 0.375698 Point #13\n",
"14 -0.600639 -0.291694 Point #14\n",
"15 -0.601707 1.852278 Point #15\n",
"16 -0.013497 -1.057711 Point #16\n",
"17 0.822545 -1.220844 Point #17\n",
"18 0.208864 -1.959670 Point #18\n",
"19 -1.328186 0.196861 Point #19"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"N = 20\n",
"random = np.random.RandomState(42)\n",
"sample_data = pd.DataFrame(random.randn(N,2), \n",
" columns=['a', 'b'])\n",
"sample_data['labels'] = ['Point #{}'.format(x) for x in range(N)]\n",
"\n",
"sample_data"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:58.174734",
"start_time": "2016-09-02T13:47:58.156455"
},
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.collections\n",
"def interactive_regplot(x, y, labels, data, **kwargs):\n",
" fig = plt.figure()\n",
" plot = sns.regplot(x=x, y=y, \n",
" data=data, **kwargs)\n",
" \n",
" scatter_collections = [c for c in plot.collections if isinstance(c, matplotlib.collections.PathCollection)]\n",
" \n",
" assert len(scatter_collections) == 1\n",
" \n",
" tooltip = mpld3.plugins.PointLabelTooltip(scatter_collections[0], \n",
" labels=list(data[labels]))\n",
" \n",
" mpld3.plugins.connect(fig, tooltip)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:58.191038",
"start_time": "2016-09-02T13:47:58.176964"
},
"collapsed": true
},
"outputs": [],
"source": [
"# Unfortunately tooltips do not work for points covered by reg confidence interval :("
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2016-09-02T13:47:58.674422",
"start_time": "2016-09-02T13:47:58.193166"
},
"collapsed": false
},
"outputs": [
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"if(typeof(mpld3) !== \"undefined\" && mpld3._mpld3IsLoaded){\n",
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" }(mpld3);\n",
"}else if(typeof define === \"function\" && define.amd){\n",
" // require.js is available: use it to load d3/mpld3\n",
" require.config({paths: {d3: \"https://mpld3.github.io/js/d3.v3.min\"}});\n",
" require([\"d3\"], function(d3){\n",
" window.d3 = d3;\n",
" mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2.js\", function(){\n",
" \n",
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" });\n",
" });\n",
"}else{\n",
" // require.js not available: dynamically load d3 & mpld3\n",
" mpld3_load_lib(\"https://mpld3.github.io/js/d3.v3.min.js\", function(){\n",
" mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.2.js\", function(){\n",
" \n",
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" })\n",
" });\n",
"}\n",
"</script>"
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},
"execution_count": 6,
"metadata": {},
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}
],
"source": [
"interactive_regplot(x='a',\n",
" y='b',\n",
" labels='labels',\n",
" data=sample_data)\n",
"mpld3.display()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"hide_input": false,
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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