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ICBacon/internGistActivity.ipynb

Last active June 2, 2018 15:43
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Using Bokeh to visualize my gist activity as an intern
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internGistActivity.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Visualizing my gist activity as an intern\n",
"\n",
"Click [here](http://nbviewer.ipython.org/gist/ICBacon/9e5e352ca3a19e63cb26) to view this notebook on NBViewer"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" <link rel=\"stylesheet\" href=\"http://cdn.pydata.org/bokeh/release/bokeh-0.9.2.min.css\" type=\"text/css\" />\n",
" <script type=\"text/javascript\" src=\"http://cdn.pydata.org/bokeh/release/bokeh-0.9.2.min.js\"></script>\n",
" <script type=\"text/javascript\">\n",
" Bokeh.set_log_level(\"info\");\n",
" </script>\n",
" <div>\n",
" <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
" <span>BokehJS successfully loaded.</span>\n",
" </div>\n",
" <p style=\"background-color: #f2d7dc;\">Warning: BokehJS previously loaded</p>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from functools import partial\n",
"from bokeh.io import output_notebook\n",
"from bokeh.resources import CDN\n",
"from bokeh.models import BoxSelectTool, ColumnDataSource, HoverTool, OpenURL, TapTool\n",
"from bokeh.plotting import figure, output_file, show\n",
"from collections import OrderedDict\n",
"\n",
"output_notebook(resources=CDN)\n",
"\n",
"import requests\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def listGist(username, pages=3):\n",
" gists = []\n",
" for page in range(pages):\n",
" for gist in requests.get(\n",
" url = 'https://api.github.com/users/%s/gists'%username,\n",
" params = {\n",
" 'page': page+1\n",
" }\n",
" ).json():\n",
" gists.append(gist)\n",
" return gists"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gists = listGist('ICBacon')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"output_file(\"index.html\", mode = 'cdn' )\n",
"TOOLS = [BoxSelectTool(), HoverTool(), TapTool()]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def shorten(phrase, name, max_length = 25):\n",
" if not phrase[name] or len(phrase[name]) <= max_length:\n",
" return phrase[name]\n",
" l = max_length - 3\n",
" return phrase[name][:min(l,len(phrase[name]))] + '...'\n",
"\n",
"shorten_func = partial(shorten, name = 'description')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"#def runner(name):\n",
"# def shorten(phrase, max_length = 25):\n",
"# if not phrase[name] or len(phrase[name]) <= max_length:\n",
"# return phrase[name]\n",
"# l = max_length - 3\n",
"# return phrase[name][:min(l,len(phrase[name]))] + '...'\n",
"# return shorten"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df = pd.DataFrame(gists)\n",
"#incorporate languages later\n",
"circleMult = 9\n",
"df['files'] = [len(f.keys())*circleMult for f in df['files']]\n",
"df['owner'] = [f['login'] for f in df['owner']]\n",
"df['created_at'] = pd.to_datetime(df['created_at'])\n",
"df['created_to'] = df.apply(lambda r : r['created_at'].strftime('%m-%d-%Y'), axis = 1)\n",
"df['updated_at'] = pd.to_datetime(df['updated_at'])\n",
"df['updated_to'] = df.apply(lambda r : r['updated_at'].strftime('%m-%d-%Y'), axis = 1)\n",
"df['index'] = df.index\n",
"df['short_description'] = df.apply(shorten_func, axis = 1)\n",
"\n",
"source = ColumnDataSource(df)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<script type=\"text/javascript\">\n",
" Bokeh.$(function() {\n",
" var all_models = [{\"attributes\": {\"tags\": [], \"doc\": null, \"formats\": {}, \"id\": \"da1030d7-96ed-4617-a2ee-932517b157d9\"}, \"type\": \"DatetimeTickFormatter\", \"id\": \"da1030d7-96ed-4617-a2ee-932517b157d9\"}, {\"attributes\": {\"doc\": null, \"id\": \"ecfea2d4-b199-48ec-b68f-8a9994e2e651\", \"tags\": []}, \"type\": \"BasicTickFormatter\", \"id\": \"ecfea2d4-b199-48ec-b68f-8a9994e2e651\"}, {\"attributes\": {\"line_color\": {\"value\": \"blue\"}, \"line_alpha\": {\"value\": 1.0}, \"tags\": [], \"doc\": null, \"y1\": {\"field\": \"index\"}, \"y0\": {\"field\": \"index\"}, \"x0\": {\"field\": \"updated_at\"}, \"x1\": {\"field\": \"created_at\"}, \"id\": \"a2f3747e-d608-43ce-8e98-99a1c839ffdb\"}, \"type\": \"Segment\", \"id\": \"a2f3747e-d608-43ce-8e98-99a1c839ffdb\"}, {\"attributes\": {\"nonselection_glyph\": {\"type\": \"Circle\", \"id\": \"ff63f339-017c-4c0e-b483-b68d4f0f3f2a\"}, \"data_source\": {\"type\": \"ColumnDataSource\", \"id\": 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\"9ed51ade-17f9-41a1-8373-696e2fae2c53\"}, \"tags\": [], \"doc\": null, \"dimension\": 1, \"ticker\": {\"type\": \"BasicTicker\", \"id\": \"f67f37e5-5d63-4bcc-a4d3-dff46a81ee1c\"}, \"id\": \"09d31c36-bb2b-4456-9220-91218fe22d26\"}, \"type\": \"Grid\", \"id\": \"09d31c36-bb2b-4456-9220-91218fe22d26\"}, {\"attributes\": {\"plot\": {\"subtype\": \"Figure\", \"type\": \"Plot\", \"id\": \"9ed51ade-17f9-41a1-8373-696e2fae2c53\"}, \"tags\": [], \"doc\": null, \"dimension\": 0, \"ticker\": {\"type\": \"DatetimeTicker\", \"id\": \"1cf7393f-ded7-45b6-ac8d-bb432610d307\"}, \"id\": \"539a3bd2-5527-44d4-9447-495cb54072ab\"}, \"type\": \"Grid\", \"id\": \"539a3bd2-5527-44d4-9447-495cb54072ab\"}, {\"attributes\": {\"line_color\": {\"value\": \"purple\"}, \"line_alpha\": {\"value\": 1.0}, \"fill_color\": {\"value\": \"purple\"}, \"tags\": [], \"doc\": null, \"fill_alpha\": {\"value\": 0.85}, \"y\": {\"field\": \"index\"}, \"x\": {\"field\": \"updated_at\"}, \"id\": \"47cac537-1ccb-4043-b371-4996b774b3ce\", \"size\": {\"units\": \"screen\", \"field\": \"files\"}}, \"type\": \"Circle\", \"id\": \"47cac537-1ccb-4043-b371-4996b774b3ce\"}, {\"attributes\": {\"line_color\": {\"value\": \"#1f77b4\"}, \"line_alpha\": {\"value\": 0.1}, \"fill_color\": {\"value\": \"#1f77b4\"}, \"tags\": [], \"doc\": null, \"fill_alpha\": {\"value\": 0.1}, \"y\": {\"field\": \"index\"}, \"x\": {\"field\": \"updated_at\"}, \"id\": \"ff63f339-017c-4c0e-b483-b68d4f0f3f2a\", \"size\": {\"units\": \"screen\", \"field\": \"files\"}}, \"type\": \"Circle\", \"id\": \"ff63f339-017c-4c0e-b483-b68d4f0f3f2a\"}, {\"attributes\": {\"tags\": [], \"url\": \"https://gist.github.com/ICBacon/@id\", \"doc\": null, \"id\": \"becefd45-13fe-4df7-a083-68ed7442b0e6\"}, \"type\": \"OpenURL\", \"id\": \"becefd45-13fe-4df7-a083-68ed7442b0e6\"}, {\"attributes\": {\"geometries\": [], \"tags\": [], \"doc\": null, \"id\": \"764af3bd-7404-45e6-8ca6-3b48adb7cecd\"}, \"type\": \"ToolEvents\", \"id\": \"764af3bd-7404-45e6-8ca6-3b48adb7cecd\"}, {\"attributes\": {\"line_color\": {\"value\": \"#1f77b4\"}, \"line_alpha\": {\"value\": 0.1}, \"tags\": [], \"doc\": null, \"y1\": {\"field\": \"index\"}, \"y0\": {\"field\": \"index\"}, \"x0\": {\"field\": \"updated_at\"}, \"x1\": {\"field\": \"created_at\"}, \"id\": \"f25c3e1d-a384-4329-ac06-37f32559251b\"}, \"type\": \"Segment\", \"id\": \"f25c3e1d-a384-4329-ac06-37f32559251b\"}, {\"attributes\": {\"tags\": [], \"doc\": null, \"renderers\": [], \"callback\": null, \"names\": [], \"id\": \"10b489f9-d29d-4e2f-afa3-34367837fa75\"}, \"type\": \"DataRange1d\", \"id\": \"10b489f9-d29d-4e2f-afa3-34367837fa75\"}, {\"attributes\": {\"plot\": {\"subtype\": \"Figure\", \"type\": \"Plot\", \"id\": \"9ed51ade-17f9-41a1-8373-696e2fae2c53\"}, \"tags\": [], \"doc\": null, \"renderers\": [], \"names\": [], \"action\": {\"type\": \"OpenURL\", \"id\": \"becefd45-13fe-4df7-a083-68ed7442b0e6\"}, \"id\": \"34cb5195-b5cf-4838-bebd-736e1cd351b9\"}, \"type\": \"TapTool\", \"id\": \"34cb5195-b5cf-4838-bebd-736e1cd351b9\"}];\n",
" Bokeh.load_models(all_models);\n",
" var plots = [{'modeltype': 'Plot', 'elementid': '#e2da734d-f1c2-4194-870f-dfd09f3f366d', 'modelid': '9ed51ade-17f9-41a1-8373-696e2fae2c53'}];\n",
" for (idx in plots) {\n",
" \tvar plot = plots[idx];\n",
" \tvar model = Bokeh.Collections(plot.modeltype).get(plot.modelid);\n",
" \tBokeh.logger.info('Realizing plot:')\n",
" \tBokeh.logger.info(' - modeltype: ' + plot.modeltype);\n",
" \tBokeh.logger.info(' - modelid: ' + plot.modelid);\n",
" \tBokeh.logger.info(' - elementid: ' + plot.elementid);\n",
" \tvar view = new model.default_view({\n",
" \t\tmodel: model,\n",
" \t\tel: plot.elementid\n",
" \t});\n",
" \tBokeh.index[plot.modelid] = view;\n",
" }\n",
" });\n",
" </script>\n",
"<div class=\"plotdiv\" id=\"e2da734d-f1c2-4194-870f-dfd09f3f366d\"></div>\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p = figure(x_axis_type = \"datetime\", tools=TOOLS)\n",
"\n",
"p.segment(\n",
" x0 = 'updated_at',\n",
" x1 = 'created_at',\n",
" y0 = 'index',\n",
" y1 = 'index',\n",
" color = \"blue\",\n",
" line_alpha = 1,\n",
" source = source\n",
")\n",
"\n",
"p.circle(\n",
" x= 'updated_at',\n",
" y = 'index',\n",
" source = source,\n",
" size = 'files',\n",
" color = 'purple',\n",
" fill_alpha = 0.85\n",
")\n",
"\n",
"url = \"https://gist.github.com/ICBacon/@id\"\n",
"taptool = p.select(type = TapTool)\n",
"taptool.action = OpenURL(url = url)\n",
"\n",
"hover = p.select(dict(type = HoverTool))\n",
"\n",
"hover.tooltips = OrderedDict([\n",
" (\"index\", \"$index\"),\n",
" (\"description\", \"@short_description\"),\n",
" (\"created\", \"@created_to\"),\n",
" (\"updated\", \"@updated_to\"),\n",
"])\n",
"\n",
"show(p)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"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": "2.7.8"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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