├── README.md
├── Figure.PNG
├── Links.txt
├── Project Figure.PNG
├── .gitattributes
├── loan application.csv
├── total loans.csv
└── Assignment3_Aniket.ipynb
/README.md:
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1 | # Applied-Plotting-Charting-and-Data-Representation-in-Python
2 | Coursera course by University of Michigan
3 |
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/Figure.PNG:
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https://raw.githubusercontent.com/bondeanikets/Applied-Plotting-Charting-and-Data-Representation-in-Python/HEAD/Figure.PNG
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/Links.txt:
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1 | Link 1: https://data.gov.sg/dataset/application-with-bank-loan
2 | Link 2: https://data.gov.sg/dataset/total-loans-to-non-bank-customers
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/Project Figure.PNG:
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https://raw.githubusercontent.com/bondeanikets/Applied-Plotting-Charting-and-Data-Representation-in-Python/HEAD/Project Figure.PNG
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/.gitattributes:
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1 | # Auto detect text files and perform LF normalization
2 | * text=auto
3 |
4 | # Custom for Visual Studio
5 | *.cs diff=csharp
6 |
7 | # Standard to msysgit
8 | *.doc diff=astextplain
9 | *.DOC diff=astextplain
10 | *.docx diff=astextplain
11 | *.DOCX diff=astextplain
12 | *.dot diff=astextplain
13 | *.DOT diff=astextplain
14 | *.pdf diff=astextplain
15 | *.PDF diff=astextplain
16 | *.rtf diff=astextplain
17 | *.RTF diff=astextplain
18 |
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/loan application.csv:
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1 | financial_year,category,no_of_applications
2 | 2006,Resale Flat Buyers,11266
3 | 2006,Flats Sold,1216
4 | 2006,Existing Flat Owners (Refinance),16
5 | 2006,DBSS Flat Buyers,0
6 | 2007,Resale Flat Buyers,14759
7 | 2007,Flats Sold,1622
8 | 2007,Existing Flat Owners (Refinance),8
9 | 2007,DBSS Flat Buyers,0
10 | 2008,Resale Flat Buyers,14913
11 | 2008,Flats Sold,936
12 | 2008,Existing Flat Owners (Refinance),42
13 | 2008,DBSS Flat Buyers,0
14 | 2009,Resale Flat Buyers,22345
15 | 2009,Flats Sold,948
16 | 2009,Existing Flat Owners (Refinance),101
17 | 2009,DBSS Flat Buyers,0
18 | 2010,Resale Flat Buyers,17990
19 | 2010,Flats Sold,868
20 | 2010,Existing Flat Owners (Refinance),329
21 | 2010,DBSS Flat Buyers,0
22 | 2011,Resale Flat Buyers,15039
23 | 2011,Flats Sold,2402
24 | 2011,Existing Flat Owners (Refinance),548
25 | 2011,DBSS Flat Buyers,0
26 | 2012,Resale Flat Buyers,15529
27 | 2012,Flats Sold,2219
28 | 2012,Existing Flat Owners (Refinance),611
29 | 2012,DBSS Flat Buyers,1017
30 | 2013,Resale Flat Buyers,9213
31 | 2013,Flats Sold,2474
32 | 2013,Existing Flat Owners (Refinance),1399
33 | 2013,DBSS Flat Buyers,244
34 | 2014,Resale Flat Buyers,9318
35 | 2014,Flats Sold,2122
36 | 2014,Existing Flat Owners (Refinance),578
37 | 2014,DBSS Flat Buyers,121
38 | 2015,Resale Flat Buyers,8211
39 | 2015,Flats Sold,1730
40 | 2015,Existing Flat Owners (Refinance),156
41 | 2015,DBSS Flat Buyers,44
42 |
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/total loans.csv:
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1 | month,total_loans,total_loans_business,total_loans_consumer
2 | 2004-03,293816.4,195720,98096.1
3 | 2004-04,295409,196774.5,98634.3
4 | 2004-05,298744.2,199022.1,99722.4
5 | 2004-06,300945.9,199974.2,100971.5
6 | 2004-07,303484,202125,101358.6
7 | 2004-08,307157.9,204586.1,102571.8
8 | 2004-09,305887.8,202489.4,103398.2
9 | 2004-10,308808.8,205231.8,103577.1
10 | 2004-11,311607.4,207817.9,103789.6
11 | 2004-12,312821.9,208589.1,104232.8
12 | 2005-01,313487.2,208137.4,105349.9
13 | 2005-02,312352.8,207506,104846.7
14 | 2005-03,311647.6,205819.6,105828.1
15 | 2005-04,316242.6,209585.5,106657
16 | 2005-05,319081,211696,107385
17 | 2005-06,323291,215594.7,107696.4
18 | 2005-07,322161.7,215423.5,106738.2
19 | 2005-08,328967.1,221537.8,107429.1
20 | 2005-09,331973.8,223982.7,107991
21 | 2005-10,332386.9,223918.6,108468.2
22 | 2005-11,352971.7,243345.3,109626.5
23 | 2005-12,357149.1,247525.9,109623.5
24 | 2006-01,353612.1,244419.8,109192.3
25 | 2006-02,355705.5,246357.8,109347.8
26 | 2006-03,346493.4,237418.3,109075.3
27 | 2006-04,358706.8,249677,109029.5
28 | 2006-05,366617.3,256704.2,109913
29 | 2006-06,369857.7,259972.3,109885.5
30 | 2006-07,372792.4,262997,109795.4
31 | 2006-08,373181.7,263348.3,109833.3
32 | 2006-09,377293.6,267117.8,110175.8
33 | 2006-10,380367,270489.1,109878.1
34 | 2006-11,387622.7,276615.7,111007.1
35 | 2006-12,380221,269162.2,111058.8
36 | 2007-01,383810.4,272562.5,111247.8
37 | 2007-02,390473.1,278520.6,111952.6
38 | 2007-03,398472.9,285493.8,112979
39 | 2007-04,403733.7,289187.8,114546
40 | 2007-05,418024.2,302907.2,115116.9
41 | 2007-06,429800,312017.3,117783
42 | 2007-07,434019.2,314869.4,119149.9
43 | 2007-08,447157.4,326150.9,121006.3
44 | 2007-09,458090.4,333633.1,124457.3
45 | 2007-10,461573.6,335093.8,126479.6
46 | 2007-11,473609.6,344694.2,128915.5
47 | 2007-12,489865.9,361621.7,128244.5
48 | 2008-01,497961.4,368501.6,129459.8
49 | 2008-02,512545.7,374175.4,138370.3
50 | 2008-03,530995.1,390848.9,140146.3
51 | 2008-04,535024.2,395918.2,139105.8
52 | 2008-05,545436.5,403428.9,142007.6
53 | 2008-06,561313,415641.9,145671.2
54 | 2008-07,573916.1,426964.3,146951.6
55 | 2008-08,585966.7,437023.6,148943
56 | 2008-09,593357.5,443103.9,150253.5
57 | 2008-10,590038.3,444033.1,146005.2
58 | 2008-11,577670.2,433297.3,144373
59 | 2008-12,558268.7,414789.3,143479.2
60 | 2009-01,566982.4,422762,144220.6
61 | 2009-02,566541.5,422731.6,143810.1
62 | 2009-03,558623.1,415291.5,143331.9
63 | 2009-04,550122.9,407855.9,142267.4
64 | 2009-05,550318.3,407063.7,143254.7
65 | 2009-06,553555,407560,145994.9
66 | 2009-07,551385,404113.7,147271.3
67 | 2009-08,555609.7,406852.8,148757
68 | 2009-09,553900.2,403610.4,150289.5
69 | 2009-10,550049.6,397629,152420.4
70 | 2009-11,559165.4,404675.7,154489.4
71 | 2009-12,564960.7,409450.2,155510.6
72 | 2010-01,569667.6,412698.1,156969.6
73 | 2010-02,573793.7,415480.9,158312.8
74 | 2010-03,580768.4,421627.4,159141.1
75 | 2010-04,585243.1,425165.3,160077.7
76 | 2010-05,597600.9,434218.2,163382.9
77 | 2010-06,616059.6,449302.3,166757.3
78 | 2010-07,614488.9,444880.9,169608
79 | 2010-08,617646.7,445670.9,171976
80 | 2010-09,619893.3,445330.5,174563
81 | 2010-10,625538,447792.6,177745.4
82 | 2010-11,637828.7,457140.4,180688.3
83 | 2010-12,641055.8,458534.6,182521.2
84 | 2011-01,656548.8,473620.7,182928.2
85 | 2011-02,663660.4,479025,184635.5
86 | 2011-03,674217.6,487363.3,186854.1
87 | 2011-04,680163.1,491646.5,188516.6
88 | 2011-05,695729.5,503863.7,191865.5
89 | 2011-06,707152.9,512462,194690.8
90 | 2011-07,719221.5,522428.2,196793.3
91 | 2011-08,737629.7,538272.5,199357.1
92 | 2011-09,777712.1,573923.1,203789
93 | 2011-10,763796.1,560967.8,202828.1
94 | 2011-11,788361.1,581718.7,206642.6
95 | 2011-12,796447.2,584824.4,211622.7
96 | 2012-01,787313.5,574823.4,212489.9
97 | 2012-02,796810.5,583184.7,213625.8
98 | 2012-03,809866.4,593294.9,216571.5
99 | 2012-04,807458.1,589328.7,218129.5
100 | 2012-05,829376,607821.3,221554.9
101 | 2012-06,837481.5,613382.5,224099.1
102 | 2012-07,836723.3,609453.2,227270
103 | 2012-08,852322,621959.3,230362.7
104 | 2012-09,852968.4,619908.4,233059.9
105 | 2012-10,860873.6,624248,236625.5
106 | 2012-11,866807,626906.3,239900.7
107 | 2012-12,879193.3,637176.4,242016.9
108 | 2013-01,905815.5,660368.3,245447.3
109 | 2013-02,916896.9,669980.9,246915.9
110 | 2013-03,933822.2,684507.4,249315
111 | 2013-04,940124.2,689650.3,250473.8
112 | 2013-05,960483.9,707055,253428.7
113 | 2013-06,963923.1,708444.4,255478.7
114 | 2013-07,972573.2,715625.8,256947.2
115 | 2013-08,979777.4,721030.2,258747.1
116 | 2013-09,992822.8,730989.6,261833.2
117 | 2013-10,1002791.5,736474.5,266316.9
118 | 2013-11,1034642.1,763001.6,271640.5
119 | 2013-12,1052149.7,779096.8,273053
120 | 2014-01,1070639.7,795370.9,275269
121 | 2014-02,1080737.2,804138.9,276598.4
122 | 2014-03,1095777.3,814049,281728.2
123 | 2014-04,1103553.3,820361.4,283192
124 | 2014-05,1113250.8,828846.1,284404.8
125 | 2014-06,1122718.7,836092.5,286626.3
126 | 2014-07,1121789.2,833971.4,287817.8
127 | 2014-08,1125901.4,836880,289021.3
128 | 2014-09,1131843.6,840663.7,291179.7
129 | 2014-10,1132664.3,840755.8,291908.7
130 | 2014-11,1148017.7,854424.3,293593.2
131 | 2014-12,1148900.8,853695,295205.7
132 | 2015-01,1161121.2,863537.1,297584.2
133 | 2015-02,1161637.4,863255.1,298382.4
134 | 2015-03,1169159.1,869670.5,299488.3
135 | 2015-04,1143509.7,847142,296367.8
136 | 2015-05,1152705.7,855213.4,297492.1
137 | 2015-06,1161327.6,860843.1,300484.6
138 | 2015-07,1171788.1,869535.7,302252.6
139 | 2015-08,1188388,884782.4,303605.8
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/Assignment3_Aniket.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "markdown",
5 | "metadata": {},
6 | "source": [
7 | "# Assignment 3 - Building a Custom Visualization\n",
8 | "\n",
9 | "---\n",
10 | "\n",
11 | "In this assignment you must choose one of the options presented below and submit a visual as well as your source code for peer grading. The details of how you solve the assignment are up to you, although your assignment must use matplotlib so that your peers can evaluate your work. The options differ in challenge level, but there are no grades associated with the challenge level you chose. However, your peers will be asked to ensure you at least met a minimum quality for a given technique in order to pass. Implement the technique fully (or exceed it!) and you should be able to earn full grades for the assignment.\n",
12 | "\n",
13 | "\n",
14 | " Ferreira, N., Fisher, D., & Konig, A. C. (2014, April). [Sample-oriented task-driven visualizations: allowing users to make better, more confident decisions.](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Ferreira_Fisher_Sample_Oriented_Tasks.pdf) \n",
15 | " In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 571-580). ACM. ([video](https://www.youtube.com/watch?v=BI7GAs-va-Q))\n",
16 | "\n",
17 | "\n",
18 | "In this [paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Ferreira_Fisher_Sample_Oriented_Tasks.pdf) the authors describe the challenges users face when trying to make judgements about probabilistic data generated through samples. As an example, they look at a bar chart of four years of data (replicated below in Figure 1). Each year has a y-axis value, which is derived from a sample of a larger dataset. For instance, the first value might be the number votes in a given district or riding for 1992, with the average being around 33,000. On top of this is plotted the confidence interval -- the range of the number of votes which encapsulates 95% of the data (see the boxplot lectures for more information, and the yerr parameter of barcharts).\n",
19 | "\n",
20 | " \n",
21 | "\n",
22 | "
Figure 1 from (Ferreira et al, 2014).
\n",
23 | "\n",
24 | " \n",
25 | "\n",
26 | "A challenge that users face is that, for a given y-axis value (e.g. 42,000), it is difficult to know which x-axis values are most likely to be representative, because the confidence levels overlap and their distributions are different (the lengths of the confidence interval bars are unequal). One of the solutions the authors propose for this problem (Figure 2c) is to allow users to indicate the y-axis value of interest (e.g. 42,000) and then draw a horizontal line and color bars based on this value. So bars might be colored red if they are definitely above this value (given the confidence interval), blue if they are definitely below this value, or white if they contain this value.\n",
27 | "\n",
28 | "\n",
29 | " \n",
30 | "\n",
31 | "
Figure 2c from (Ferreira et al. 2014). Note that the colorbar legend at the bottom as well as the arrows are not required in the assignment descriptions below.
\n",
32 | "\n",
33 | " \n",
34 | " \n",
35 | "\n",
36 | "**Easiest option:** Implement the bar coloring as described above - a color scale with only three colors, (e.g. blue, white, and red). Assume the user provides the y axis value of interest as a parameter or variable.\n",
37 | "\n",
38 | "\n",
39 | "**Harder option:** Implement the bar coloring as described in the paper, where the color of the bar is actually based on the amount of data covered (e.g. a gradient ranging from dark blue for the distribution being certainly below this y-axis, to white if the value is certainly contained, to dark red if the value is certainly not contained as the distribution is above the axis).\n",
40 | "\n",
41 | "**Even Harder option:** Add interactivity to the above, which allows the user to click on the y axis to set the value of interest. The bar colors should change with respect to what value the user has selected.\n",
42 | "\n",
43 | "**Hardest option:** Allow the user to interactively set a range of y values they are interested in, and recolor based on this (e.g. a y-axis band, see the paper for more details).\n",
44 | "\n",
45 | "---"
46 | ]
47 | },
48 | {
49 | "cell_type": "code",
50 | "execution_count": 79,
51 | "metadata": {
52 | "collapsed": false
53 | },
54 | "outputs": [
55 | {
56 | "data": {
57 | "application/javascript": [
58 | "/* Put everything inside the global mpl namespace */\n",
59 | "window.mpl = {};\n",
60 | "\n",
61 | "\n",
62 | "mpl.get_websocket_type = function() {\n",
63 | " if (typeof(WebSocket) !== 'undefined') {\n",
64 | " return WebSocket;\n",
65 | " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
66 | " return MozWebSocket;\n",
67 | " } else {\n",
68 | " alert('Your browser does not have WebSocket support.' +\n",
69 | " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
70 | " 'Firefox 4 and 5 are also supported but you ' +\n",
71 | " 'have to enable WebSockets in about:config.');\n",
72 | " };\n",
73 | "}\n",
74 | "\n",
75 | "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
76 | " this.id = figure_id;\n",
77 | "\n",
78 | " this.ws = websocket;\n",
79 | "\n",
80 | " this.supports_binary = (this.ws.binaryType != undefined);\n",
81 | "\n",
82 | " if (!this.supports_binary) {\n",
83 | " var warnings = document.getElementById(\"mpl-warnings\");\n",
84 | " if (warnings) {\n",
85 | " warnings.style.display = 'block';\n",
86 | " warnings.textContent = (\n",
87 | " \"This browser does not support binary websocket messages. \" +\n",
88 | " \"Performance may be slow.\");\n",
89 | " }\n",
90 | " }\n",
91 | "\n",
92 | " this.imageObj = new Image();\n",
93 | "\n",
94 | " this.context = undefined;\n",
95 | " this.message = undefined;\n",
96 | " this.canvas = undefined;\n",
97 | " this.rubberband_canvas = undefined;\n",
98 | " this.rubberband_context = undefined;\n",
99 | " this.format_dropdown = undefined;\n",
100 | "\n",
101 | " this.image_mode = 'full';\n",
102 | "\n",
103 | " this.root = $('');\n",
104 | " this._root_extra_style(this.root)\n",
105 | " this.root.attr('style', 'display: inline-block');\n",
106 | "\n",
107 | " $(parent_element).append(this.root);\n",
108 | "\n",
109 | " this._init_header(this);\n",
110 | " this._init_canvas(this);\n",
111 | " this._init_toolbar(this);\n",
112 | "\n",
113 | " var fig = this;\n",
114 | "\n",
115 | " this.waiting = false;\n",
116 | "\n",
117 | " this.ws.onopen = function () {\n",
118 | " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
119 | " fig.send_message(\"send_image_mode\", {});\n",
120 | " if (mpl.ratio != 1) {\n",
121 | " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
122 | " }\n",
123 | " fig.send_message(\"refresh\", {});\n",
124 | " }\n",
125 | "\n",
126 | " this.imageObj.onload = function() {\n",
127 | " if (fig.image_mode == 'full') {\n",
128 | " // Full images could contain transparency (where diff images\n",
129 | " // almost always do), so we need to clear the canvas so that\n",
130 | " // there is no ghosting.\n",
131 | " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
132 | " }\n",
133 | " fig.context.drawImage(fig.imageObj, 0, 0);\n",
134 | " };\n",
135 | "\n",
136 | " this.imageObj.onunload = function() {\n",
137 | " this.ws.close();\n",
138 | " }\n",
139 | "\n",
140 | " this.ws.onmessage = this._make_on_message_function(this);\n",
141 | "\n",
142 | " this.ondownload = ondownload;\n",
143 | "}\n",
144 | "\n",
145 | "mpl.figure.prototype._init_header = function() {\n",
146 | " var titlebar = $(\n",
147 | " '');\n",
149 | " var titletext = $(\n",
150 | " '');\n",
152 | " titlebar.append(titletext)\n",
153 | " this.root.append(titlebar);\n",
154 | " this.header = titletext[0];\n",
155 | "}\n",
156 | "\n",
157 | "\n",
158 | "\n",
159 | "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
160 | "\n",
161 | "}\n",
162 | "\n",
163 | "\n",
164 | "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
165 | "\n",
166 | "}\n",
167 | "\n",
168 | "mpl.figure.prototype._init_canvas = function() {\n",
169 | " var fig = this;\n",
170 | "\n",
171 | " var canvas_div = $('');\n",
172 | "\n",
173 | " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
174 | "\n",
175 | " function canvas_keyboard_event(event) {\n",
176 | " return fig.key_event(event, event['data']);\n",
177 | " }\n",
178 | "\n",
179 | " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
180 | " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
181 | " this.canvas_div = canvas_div\n",
182 | " this._canvas_extra_style(canvas_div)\n",
183 | " this.root.append(canvas_div);\n",
184 | "\n",
185 | " var canvas = $('');\n",
186 | " canvas.addClass('mpl-canvas');\n",
187 | " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
188 | "\n",
189 | " this.canvas = canvas[0];\n",
190 | " this.context = canvas[0].getContext(\"2d\");\n",
191 | "\n",
192 | " var backingStore = this.context.backingStorePixelRatio ||\n",
193 | "\tthis.context.webkitBackingStorePixelRatio ||\n",
194 | "\tthis.context.mozBackingStorePixelRatio ||\n",
195 | "\tthis.context.msBackingStorePixelRatio ||\n",
196 | "\tthis.context.oBackingStorePixelRatio ||\n",
197 | "\tthis.context.backingStorePixelRatio || 1;\n",
198 | "\n",
199 | " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
200 | "\n",
201 | " var rubberband = $('');\n",
202 | " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
203 | "\n",
204 | " var pass_mouse_events = true;\n",
205 | "\n",
206 | " canvas_div.resizable({\n",
207 | " start: function(event, ui) {\n",
208 | " pass_mouse_events = false;\n",
209 | " },\n",
210 | " resize: function(event, ui) {\n",
211 | " fig.request_resize(ui.size.width, ui.size.height);\n",
212 | " },\n",
213 | " stop: function(event, ui) {\n",
214 | " pass_mouse_events = true;\n",
215 | " fig.request_resize(ui.size.width, ui.size.height);\n",
216 | " },\n",
217 | " });\n",
218 | "\n",
219 | " function mouse_event_fn(event) {\n",
220 | " if (pass_mouse_events)\n",
221 | " return fig.mouse_event(event, event['data']);\n",
222 | " }\n",
223 | "\n",
224 | " rubberband.mousedown('button_press', mouse_event_fn);\n",
225 | " rubberband.mouseup('button_release', mouse_event_fn);\n",
226 | " // Throttle sequential mouse events to 1 every 20ms.\n",
227 | " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
228 | "\n",
229 | " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
230 | " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
231 | "\n",
232 | " canvas_div.on(\"wheel\", function (event) {\n",
233 | " event = event.originalEvent;\n",
234 | " event['data'] = 'scroll'\n",
235 | " if (event.deltaY < 0) {\n",
236 | " event.step = 1;\n",
237 | " } else {\n",
238 | " event.step = -1;\n",
239 | " }\n",
240 | " mouse_event_fn(event);\n",
241 | " });\n",
242 | "\n",
243 | " canvas_div.append(canvas);\n",
244 | " canvas_div.append(rubberband);\n",
245 | "\n",
246 | " this.rubberband = rubberband;\n",
247 | " this.rubberband_canvas = rubberband[0];\n",
248 | " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
249 | " this.rubberband_context.strokeStyle = \"#000000\";\n",
250 | "\n",
251 | " this._resize_canvas = function(width, height) {\n",
252 | " // Keep the size of the canvas, canvas container, and rubber band\n",
253 | " // canvas in synch.\n",
254 | " canvas_div.css('width', width)\n",
255 | " canvas_div.css('height', height)\n",
256 | "\n",
257 | " canvas.attr('width', width * mpl.ratio);\n",
258 | " canvas.attr('height', height * mpl.ratio);\n",
259 | " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
260 | "\n",
261 | " rubberband.attr('width', width);\n",
262 | " rubberband.attr('height', height);\n",
263 | " }\n",
264 | "\n",
265 | " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
266 | " // upon first draw.\n",
267 | " this._resize_canvas(600, 600);\n",
268 | "\n",
269 | " // Disable right mouse context menu.\n",
270 | " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
271 | " return false;\n",
272 | " });\n",
273 | "\n",
274 | " function set_focus () {\n",
275 | " canvas.focus();\n",
276 | " canvas_div.focus();\n",
277 | " }\n",
278 | "\n",
279 | " window.setTimeout(set_focus, 100);\n",
280 | "}\n",
281 | "\n",
282 | "mpl.figure.prototype._init_toolbar = function() {\n",
283 | " var fig = this;\n",
284 | "\n",
285 | " var nav_element = $('')\n",
286 | " nav_element.attr('style', 'width: 100%');\n",
287 | " this.root.append(nav_element);\n",
288 | "\n",
289 | " // Define a callback function for later on.\n",
290 | " function toolbar_event(event) {\n",
291 | " return fig.toolbar_button_onclick(event['data']);\n",
292 | " }\n",
293 | " function toolbar_mouse_event(event) {\n",
294 | " return fig.toolbar_button_onmouseover(event['data']);\n",
295 | " }\n",
296 | "\n",
297 | " for(var toolbar_ind in mpl.toolbar_items) {\n",
298 | " var name = mpl.toolbar_items[toolbar_ind][0];\n",
299 | " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
300 | " var image = mpl.toolbar_items[toolbar_ind][2];\n",
301 | " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
302 | "\n",
303 | " if (!name) {\n",
304 | " // put a spacer in here.\n",
305 | " continue;\n",
306 | " }\n",
307 | " var button = $('');\n",
308 | " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
309 | " 'ui-button-icon-only');\n",
310 | " button.attr('role', 'button');\n",
311 | " button.attr('aria-disabled', 'false');\n",
312 | " button.click(method_name, toolbar_event);\n",
313 | " button.mouseover(tooltip, toolbar_mouse_event);\n",
314 | "\n",
315 | " var icon_img = $('');\n",
316 | " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
317 | " icon_img.addClass(image);\n",
318 | " icon_img.addClass('ui-corner-all');\n",
319 | "\n",
320 | " var tooltip_span = $('');\n",
321 | " tooltip_span.addClass('ui-button-text');\n",
322 | " tooltip_span.html(tooltip);\n",
323 | "\n",
324 | " button.append(icon_img);\n",
325 | " button.append(tooltip_span);\n",
326 | "\n",
327 | " nav_element.append(button);\n",
328 | " }\n",
329 | "\n",
330 | " var fmt_picker_span = $('');\n",
331 | "\n",
332 | " var fmt_picker = $('');\n",
333 | " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
334 | " fmt_picker_span.append(fmt_picker);\n",
335 | " nav_element.append(fmt_picker_span);\n",
336 | " this.format_dropdown = fmt_picker[0];\n",
337 | "\n",
338 | " for (var ind in mpl.extensions) {\n",
339 | " var fmt = mpl.extensions[ind];\n",
340 | " var option = $(\n",
341 | " '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
342 | " fmt_picker.append(option)\n",
343 | " }\n",
344 | "\n",
345 | " // Add hover states to the ui-buttons\n",
346 | " $( \".ui-button\" ).hover(\n",
347 | " function() { $(this).addClass(\"ui-state-hover\");},\n",
348 | " function() { $(this).removeClass(\"ui-state-hover\");}\n",
349 | " );\n",
350 | "\n",
351 | " var status_bar = $('');\n",
352 | " nav_element.append(status_bar);\n",
353 | " this.message = status_bar[0];\n",
354 | "}\n",
355 | "\n",
356 | "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
357 | " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
358 | " // which will in turn request a refresh of the image.\n",
359 | " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
360 | "}\n",
361 | "\n",
362 | "mpl.figure.prototype.send_message = function(type, properties) {\n",
363 | " properties['type'] = type;\n",
364 | " properties['figure_id'] = this.id;\n",
365 | " this.ws.send(JSON.stringify(properties));\n",
366 | "}\n",
367 | "\n",
368 | "mpl.figure.prototype.send_draw_message = function() {\n",
369 | " if (!this.waiting) {\n",
370 | " this.waiting = true;\n",
371 | " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
372 | " }\n",
373 | "}\n",
374 | "\n",
375 | "\n",
376 | "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
377 | " var format_dropdown = fig.format_dropdown;\n",
378 | " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
379 | " fig.ondownload(fig, format);\n",
380 | "}\n",
381 | "\n",
382 | "\n",
383 | "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
384 | " var size = msg['size'];\n",
385 | " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
386 | " fig._resize_canvas(size[0], size[1]);\n",
387 | " fig.send_message(\"refresh\", {});\n",
388 | " };\n",
389 | "}\n",
390 | "\n",
391 | "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
392 | " var x0 = msg['x0'] / mpl.ratio;\n",
393 | " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
394 | " var x1 = msg['x1'] / mpl.ratio;\n",
395 | " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
396 | " x0 = Math.floor(x0) + 0.5;\n",
397 | " y0 = Math.floor(y0) + 0.5;\n",
398 | " x1 = Math.floor(x1) + 0.5;\n",
399 | " y1 = Math.floor(y1) + 0.5;\n",
400 | " var min_x = Math.min(x0, x1);\n",
401 | " var min_y = Math.min(y0, y1);\n",
402 | " var width = Math.abs(x1 - x0);\n",
403 | " var height = Math.abs(y1 - y0);\n",
404 | "\n",
405 | " fig.rubberband_context.clearRect(\n",
406 | " 0, 0, fig.canvas.width, fig.canvas.height);\n",
407 | "\n",
408 | " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
409 | "}\n",
410 | "\n",
411 | "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
412 | " // Updates the figure title.\n",
413 | " fig.header.textContent = msg['label'];\n",
414 | "}\n",
415 | "\n",
416 | "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
417 | " var cursor = msg['cursor'];\n",
418 | " switch(cursor)\n",
419 | " {\n",
420 | " case 0:\n",
421 | " cursor = 'pointer';\n",
422 | " break;\n",
423 | " case 1:\n",
424 | " cursor = 'default';\n",
425 | " break;\n",
426 | " case 2:\n",
427 | " cursor = 'crosshair';\n",
428 | " break;\n",
429 | " case 3:\n",
430 | " cursor = 'move';\n",
431 | " break;\n",
432 | " }\n",
433 | " fig.rubberband_canvas.style.cursor = cursor;\n",
434 | "}\n",
435 | "\n",
436 | "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
437 | " fig.message.textContent = msg['message'];\n",
438 | "}\n",
439 | "\n",
440 | "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
441 | " // Request the server to send over a new figure.\n",
442 | " fig.send_draw_message();\n",
443 | "}\n",
444 | "\n",
445 | "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
446 | " fig.image_mode = msg['mode'];\n",
447 | "}\n",
448 | "\n",
449 | "mpl.figure.prototype.updated_canvas_event = function() {\n",
450 | " // Called whenever the canvas gets updated.\n",
451 | " this.send_message(\"ack\", {});\n",
452 | "}\n",
453 | "\n",
454 | "// A function to construct a web socket function for onmessage handling.\n",
455 | "// Called in the figure constructor.\n",
456 | "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
457 | " return function socket_on_message(evt) {\n",
458 | " if (evt.data instanceof Blob) {\n",
459 | " /* FIXME: We get \"Resource interpreted as Image but\n",
460 | " * transferred with MIME type text/plain:\" errors on\n",
461 | " * Chrome. But how to set the MIME type? It doesn't seem\n",
462 | " * to be part of the websocket stream */\n",
463 | " evt.data.type = \"image/png\";\n",
464 | "\n",
465 | " /* Free the memory for the previous frames */\n",
466 | " if (fig.imageObj.src) {\n",
467 | " (window.URL || window.webkitURL).revokeObjectURL(\n",
468 | " fig.imageObj.src);\n",
469 | " }\n",
470 | "\n",
471 | " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
472 | " evt.data);\n",
473 | " fig.updated_canvas_event();\n",
474 | " fig.waiting = false;\n",
475 | " return;\n",
476 | " }\n",
477 | " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
478 | " fig.imageObj.src = evt.data;\n",
479 | " fig.updated_canvas_event();\n",
480 | " fig.waiting = false;\n",
481 | " return;\n",
482 | " }\n",
483 | "\n",
484 | " var msg = JSON.parse(evt.data);\n",
485 | " var msg_type = msg['type'];\n",
486 | "\n",
487 | " // Call the \"handle_{type}\" callback, which takes\n",
488 | " // the figure and JSON message as its only arguments.\n",
489 | " try {\n",
490 | " var callback = fig[\"handle_\" + msg_type];\n",
491 | " } catch (e) {\n",
492 | " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
493 | " return;\n",
494 | " }\n",
495 | "\n",
496 | " if (callback) {\n",
497 | " try {\n",
498 | " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
499 | " callback(fig, msg);\n",
500 | " } catch (e) {\n",
501 | " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
502 | " }\n",
503 | " }\n",
504 | " };\n",
505 | "}\n",
506 | "\n",
507 | "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
508 | "mpl.findpos = function(e) {\n",
509 | " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
510 | " var targ;\n",
511 | " if (!e)\n",
512 | " e = window.event;\n",
513 | " if (e.target)\n",
514 | " targ = e.target;\n",
515 | " else if (e.srcElement)\n",
516 | " targ = e.srcElement;\n",
517 | " if (targ.nodeType == 3) // defeat Safari bug\n",
518 | " targ = targ.parentNode;\n",
519 | "\n",
520 | " // jQuery normalizes the pageX and pageY\n",
521 | " // pageX,Y are the mouse positions relative to the document\n",
522 | " // offset() returns the position of the element relative to the document\n",
523 | " var x = e.pageX - $(targ).offset().left;\n",
524 | " var y = e.pageY - $(targ).offset().top;\n",
525 | "\n",
526 | " return {\"x\": x, \"y\": y};\n",
527 | "};\n",
528 | "\n",
529 | "/*\n",
530 | " * return a copy of an object with only non-object keys\n",
531 | " * we need this to avoid circular references\n",
532 | " * http://stackoverflow.com/a/24161582/3208463\n",
533 | " */\n",
534 | "function simpleKeys (original) {\n",
535 | " return Object.keys(original).reduce(function (obj, key) {\n",
536 | " if (typeof original[key] !== 'object')\n",
537 | " obj[key] = original[key]\n",
538 | " return obj;\n",
539 | " }, {});\n",
540 | "}\n",
541 | "\n",
542 | "mpl.figure.prototype.mouse_event = function(event, name) {\n",
543 | " var canvas_pos = mpl.findpos(event)\n",
544 | "\n",
545 | " if (name === 'button_press')\n",
546 | " {\n",
547 | " this.canvas.focus();\n",
548 | " this.canvas_div.focus();\n",
549 | " }\n",
550 | "\n",
551 | " var x = canvas_pos.x * mpl.ratio;\n",
552 | " var y = canvas_pos.y * mpl.ratio;\n",
553 | "\n",
554 | " this.send_message(name, {x: x, y: y, button: event.button,\n",
555 | " step: event.step,\n",
556 | " guiEvent: simpleKeys(event)});\n",
557 | "\n",
558 | " /* This prevents the web browser from automatically changing to\n",
559 | " * the text insertion cursor when the button is pressed. We want\n",
560 | " * to control all of the cursor setting manually through the\n",
561 | " * 'cursor' event from matplotlib */\n",
562 | " event.preventDefault();\n",
563 | " return false;\n",
564 | "}\n",
565 | "\n",
566 | "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
567 | " // Handle any extra behaviour associated with a key event\n",
568 | "}\n",
569 | "\n",
570 | "mpl.figure.prototype.key_event = function(event, name) {\n",
571 | "\n",
572 | " // Prevent repeat events\n",
573 | " if (name == 'key_press')\n",
574 | " {\n",
575 | " if (event.which === this._key)\n",
576 | " return;\n",
577 | " else\n",
578 | " this._key = event.which;\n",
579 | " }\n",
580 | " if (name == 'key_release')\n",
581 | " this._key = null;\n",
582 | "\n",
583 | " var value = '';\n",
584 | " if (event.ctrlKey && event.which != 17)\n",
585 | " value += \"ctrl+\";\n",
586 | " if (event.altKey && event.which != 18)\n",
587 | " value += \"alt+\";\n",
588 | " if (event.shiftKey && event.which != 16)\n",
589 | " value += \"shift+\";\n",
590 | "\n",
591 | " value += 'k';\n",
592 | " value += event.which.toString();\n",
593 | "\n",
594 | " this._key_event_extra(event, name);\n",
595 | "\n",
596 | " this.send_message(name, {key: value,\n",
597 | " guiEvent: simpleKeys(event)});\n",
598 | " return false;\n",
599 | "}\n",
600 | "\n",
601 | "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
602 | " if (name == 'download') {\n",
603 | " this.handle_save(this, null);\n",
604 | " } else {\n",
605 | " this.send_message(\"toolbar_button\", {name: name});\n",
606 | " }\n",
607 | "};\n",
608 | "\n",
609 | "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
610 | " this.message.textContent = tooltip;\n",
611 | "};\n",
612 | "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
613 | "\n",
614 | "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
615 | "\n",
616 | "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
617 | " // Create a \"websocket\"-like object which calls the given IPython comm\n",
618 | " // object with the appropriate methods. Currently this is a non binary\n",
619 | " // socket, so there is still some room for performance tuning.\n",
620 | " var ws = {};\n",
621 | "\n",
622 | " ws.close = function() {\n",
623 | " comm.close()\n",
624 | " };\n",
625 | " ws.send = function(m) {\n",
626 | " //console.log('sending', m);\n",
627 | " comm.send(m);\n",
628 | " };\n",
629 | " // Register the callback with on_msg.\n",
630 | " comm.on_msg(function(msg) {\n",
631 | " //console.log('receiving', msg['content']['data'], msg);\n",
632 | " // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
633 | " ws.onmessage(msg['content']['data'])\n",
634 | " });\n",
635 | " return ws;\n",
636 | "}\n",
637 | "\n",
638 | "mpl.mpl_figure_comm = function(comm, msg) {\n",
639 | " // This is the function which gets called when the mpl process\n",
640 | " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
641 | "\n",
642 | " var id = msg.content.data.id;\n",
643 | " // Get hold of the div created by the display call when the Comm\n",
644 | " // socket was opened in Python.\n",
645 | " var element = $(\"#\" + id);\n",
646 | " var ws_proxy = comm_websocket_adapter(comm)\n",
647 | "\n",
648 | " function ondownload(figure, format) {\n",
649 | " window.open(figure.imageObj.src);\n",
650 | " }\n",
651 | "\n",
652 | " var fig = new mpl.figure(id, ws_proxy,\n",
653 | " ondownload,\n",
654 | " element.get(0));\n",
655 | "\n",
656 | " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
657 | " // web socket which is closed, not our websocket->open comm proxy.\n",
658 | " ws_proxy.onopen();\n",
659 | "\n",
660 | " fig.parent_element = element.get(0);\n",
661 | " fig.cell_info = mpl.find_output_cell(\"\");\n",
662 | " if (!fig.cell_info) {\n",
663 | " console.error(\"Failed to find cell for figure\", id, fig);\n",
664 | " return;\n",
665 | " }\n",
666 | "\n",
667 | " var output_index = fig.cell_info[2]\n",
668 | " var cell = fig.cell_info[0];\n",
669 | "\n",
670 | "};\n",
671 | "\n",
672 | "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
673 | " var width = fig.canvas.width/mpl.ratio\n",
674 | " fig.root.unbind('remove')\n",
675 | "\n",
676 | " // Update the output cell to use the data from the current canvas.\n",
677 | " fig.push_to_output();\n",
678 | " var dataURL = fig.canvas.toDataURL();\n",
679 | " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
680 | " // the notebook keyboard shortcuts fail.\n",
681 | " IPython.keyboard_manager.enable()\n",
682 | " $(fig.parent_element).html('');\n",
683 | " fig.close_ws(fig, msg);\n",
684 | "}\n",
685 | "\n",
686 | "mpl.figure.prototype.close_ws = function(fig, msg){\n",
687 | " fig.send_message('closing', msg);\n",
688 | " // fig.ws.close()\n",
689 | "}\n",
690 | "\n",
691 | "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
692 | " // Turn the data on the canvas into data in the output cell.\n",
693 | " var width = this.canvas.width/mpl.ratio\n",
694 | " var dataURL = this.canvas.toDataURL();\n",
695 | " this.cell_info[1]['text/html'] = '';\n",
696 | "}\n",
697 | "\n",
698 | "mpl.figure.prototype.updated_canvas_event = function() {\n",
699 | " // Tell IPython that the notebook contents must change.\n",
700 | " IPython.notebook.set_dirty(true);\n",
701 | " this.send_message(\"ack\", {});\n",
702 | " var fig = this;\n",
703 | " // Wait a second, then push the new image to the DOM so\n",
704 | " // that it is saved nicely (might be nice to debounce this).\n",
705 | " setTimeout(function () { fig.push_to_output() }, 1000);\n",
706 | "}\n",
707 | "\n",
708 | "mpl.figure.prototype._init_toolbar = function() {\n",
709 | " var fig = this;\n",
710 | "\n",
711 | " var nav_element = $('')\n",
712 | " nav_element.attr('style', 'width: 100%');\n",
713 | " this.root.append(nav_element);\n",
714 | "\n",
715 | " // Define a callback function for later on.\n",
716 | " function toolbar_event(event) {\n",
717 | " return fig.toolbar_button_onclick(event['data']);\n",
718 | " }\n",
719 | " function toolbar_mouse_event(event) {\n",
720 | " return fig.toolbar_button_onmouseover(event['data']);\n",
721 | " }\n",
722 | "\n",
723 | " for(var toolbar_ind in mpl.toolbar_items){\n",
724 | " var name = mpl.toolbar_items[toolbar_ind][0];\n",
725 | " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
726 | " var image = mpl.toolbar_items[toolbar_ind][2];\n",
727 | " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
728 | "\n",
729 | " if (!name) { continue; };\n",
730 | "\n",
731 | " var button = $('');\n",
732 | " button.click(method_name, toolbar_event);\n",
733 | " button.mouseover(tooltip, toolbar_mouse_event);\n",
734 | " nav_element.append(button);\n",
735 | " }\n",
736 | "\n",
737 | " // Add the status bar.\n",
738 | " var status_bar = $('');\n",
739 | " nav_element.append(status_bar);\n",
740 | " this.message = status_bar[0];\n",
741 | "\n",
742 | " // Add the close button to the window.\n",
743 | " var buttongrp = $('');\n",
744 | " var button = $('');\n",
745 | " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
746 | " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
747 | " buttongrp.append(button);\n",
748 | " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
749 | " titlebar.prepend(buttongrp);\n",
750 | "}\n",
751 | "\n",
752 | "mpl.figure.prototype._root_extra_style = function(el){\n",
753 | " var fig = this\n",
754 | " el.on(\"remove\", function(){\n",
755 | "\tfig.close_ws(fig, {});\n",
756 | " });\n",
757 | "}\n",
758 | "\n",
759 | "mpl.figure.prototype._canvas_extra_style = function(el){\n",
760 | " // this is important to make the div 'focusable\n",
761 | " el.attr('tabindex', 0)\n",
762 | " // reach out to IPython and tell the keyboard manager to turn it's self\n",
763 | " // off when our div gets focus\n",
764 | "\n",
765 | " // location in version 3\n",
766 | " if (IPython.notebook.keyboard_manager) {\n",
767 | " IPython.notebook.keyboard_manager.register_events(el);\n",
768 | " }\n",
769 | " else {\n",
770 | " // location in version 2\n",
771 | " IPython.keyboard_manager.register_events(el);\n",
772 | " }\n",
773 | "\n",
774 | "}\n",
775 | "\n",
776 | "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
777 | " var manager = IPython.notebook.keyboard_manager;\n",
778 | " if (!manager)\n",
779 | " manager = IPython.keyboard_manager;\n",
780 | "\n",
781 | " // Check for shift+enter\n",
782 | " if (event.shiftKey && event.which == 13) {\n",
783 | " this.canvas_div.blur();\n",
784 | " // select the cell after this one\n",
785 | " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
786 | " IPython.notebook.select(index + 1);\n",
787 | " }\n",
788 | "}\n",
789 | "\n",
790 | "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
791 | " fig.ondownload(fig, null);\n",
792 | "}\n",
793 | "\n",
794 | "\n",
795 | "mpl.find_output_cell = function(html_output) {\n",
796 | " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
797 | " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
798 | " // IPython event is triggered only after the cells have been serialised, which for\n",
799 | " // our purposes (turning an active figure into a static one), is too late.\n",
800 | " var cells = IPython.notebook.get_cells();\n",
801 | " var ncells = cells.length;\n",
802 | " for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
809 | " data = data.data;\n",
810 | " }\n",
811 | " if (data['text/html'] == html_output) {\n",
812 | " return [cell, data, j];\n",
813 | " }\n",
814 | " }\n",
815 | " }\n",
816 | " }\n",
817 | "}\n",
818 | "\n",
819 | "// Register the function which deals with the matplotlib target/channel.\n",
820 | "// The kernel may be null if the page has been refreshed.\n",
821 | "if (IPython.notebook.kernel != null) {\n",
822 | " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
823 | "}\n"
824 | ],
825 | "text/plain": [
826 | ""
827 | ]
828 | },
829 | "metadata": {},
830 | "output_type": "display_data"
831 | },
832 | {
833 | "data": {
834 | "text/html": [
835 | ""
836 | ],
837 | "text/plain": [
838 | ""
839 | ]
840 | },
841 | "metadata": {},
842 | "output_type": "display_data"
843 | }
844 | ],
845 | "source": [
846 | "# Use the following data for this assignment:\n",
847 | "import matplotlib.pyplot as plt\n",
848 | "import pandas as pd\n",
849 | "import numpy as np\n",
850 | "import seaborn\n",
851 | "from matplotlib import cm\n",
852 | "\n",
853 | "%matplotlib notebook\n",
854 | "\n",
855 | "np.random.seed(12345)\n",
856 | "\n",
857 | "df = pd.DataFrame([np.random.normal(33500,150000,3650), \n",
858 | " np.random.normal(41000,90000,3650), \n",
859 | " np.random.normal(41000,120000,3650), \n",
860 | " np.random.normal(48000,55000,3650)], \n",
861 | " index=[1992,1993,1994,1995])\n",
862 | "\n",
863 | "y = (df.mean(axis = 1)) - 36000 + 3515.919393\n",
864 | "plt.figure()\n",
865 | "colors = cm.hsv(y / float(max(y)))\n",
866 | "plot = plt.scatter(y, y, c = y, cmap = 'hsv')\n",
867 | "plt.clf()\n",
868 | "plt.colorbar(plot)\n",
869 | "plt.bar(list(df.index), list(df.mean(axis = 1)), width = 0.5, yerr = ([150000, 90000, 120000, 55000]/np.sqrt(3650)), color = colors);\n",
870 | "plt.xticks(list(df.index), list(df.index))\n",
871 | "plt.axhline(y=36000, color='black', linestyle='-')\n",
872 | "plt.yticks(list(plt.yticks()[0]) + [36000]);"
873 | ]
874 | }
875 | ],
876 | "metadata": {
877 | "kernelspec": {
878 | "display_name": "Python 3",
879 | "language": "python",
880 | "name": "python3"
881 | },
882 | "language_info": {
883 | "codemirror_mode": {
884 | "name": "ipython",
885 | "version": 3
886 | },
887 | "file_extension": ".py",
888 | "mimetype": "text/x-python",
889 | "name": "python",
890 | "nbconvert_exporter": "python",
891 | "pygments_lexer": "ipython3",
892 | "version": "3.5.2"
893 | }
894 | },
895 | "nbformat": 4,
896 | "nbformat_minor": 2
897 | }
898 |
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![\"Figure](\"readonly/Assignment3Fig1.png\")
\n",
22 | "![\"Figure](\"readonly/Assignment3Fig2c.png\")
\n",
31 | "