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MATLAB_Examples.ipynb
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Running [MATLAB in an IPython Notebook](https://github.com/arokem/python-matlab-bridge)\n",
"=====================================\n",
"\n",
"With [Interactive MATLAB Graphing in Plotly](https://plot.ly/api/MATLAB)\n",
"------------------------------------------------------------------------\n",
"\n",
"Check out more examples interactive Plotly graphs in IPython notebooks here: [nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/](nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/)\n",
"\n",
"Questions? <andrey@plot.ly>, [@plotlygraphs](http://twitter.com/plotlygraphs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The following is a list of usage examples of Plotly in Matlab. The original example data can be found at the [Matlab Plot Gallery](http://www.mathworks.com/discovery/gallery.html)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, we need to start a MATLAB server:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pymatbridge as pymat\n",
"ip = get_ipython()\n",
"pymat.load_ipython_extension(ip, \n",
" matlab='C:\\Users\\Andrey\\matlab_shortcut.lnk')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Starting MATLAB on http://localhost:55167\n",
" visit http://localhost:55167/exit.m to shut down same\n",
"."
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"."
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"."
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"MATLAB started and connected!\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note to Windows users: Python doesn't like file paths with spaces! Above, I created a shortcut to matlab.exe and placed it in path that did not contain spaces. It's a bit of a hack, there are better ways to do it I'm sure."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we are ready to run MATLAB! The following code segments follow the same genearal structure: connect to Plotly, generate the necessary data structures, and send the graph request. The response is the url where the plot is located."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 1: Morse Signal Analysis"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"% set up plotly environment\n",
"clear all\n",
"\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Load Morse data\n",
"load 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\Matlab_Examples\\Line_Plot_2D_3\\MDdata'\n",
"\n",
"% specify the style of each trace\n",
"data1 = struct(...\n",
" 'x', dissimilarities, ...\n",
" 'y', dist1, ...\n",
" 'type', 'scatter', ...\n",
" 'name', 'Stress', ...\n",
" 'mode', 'markers', ...\n",
" 'marker', struct('opacity', 0.5, ...\n",
" 'symbol','triangle-up', ... \n",
" 'size',8, ...\n",
" 'color', 'rgb(54,144,192)' ...\n",
" ) ...\n",
" );\n",
"\n",
"data2=data1;\n",
"data2.y = dist2;\n",
"data2.name = 'Sammon Mapping';\n",
"data2.marker.symbol = 'cross';\n",
"data2.marker.color = 'rgb(144,192,54)';\n",
"\n",
"data3=data1;\n",
"data3.y = dist3;\n",
"data3.name = 'Squared Stress';\n",
"data3.marker.symbol = 'square';\n",
"data3.marker.color = 'rgb(192,54,144)';\n",
"\n",
"% set up axis styles\n",
"axesstyle_x = struct( ...\n",
" 'zeroline' , false, ...\n",
" 'title' , 'Dissimilarities' ...\n",
");\n",
"axesstyle_y = struct( ...\n",
" 'zeroline' , false, ...\n",
" 'title' , 'Distances' ...\n",
");\n",
"\n",
"% set the legend style\n",
"legendstyle = struct('x' , 0, 'y' , 1); % Top left\n",
"\n",
"% set up layout\n",
"layout = struct( ...\n",
" 'title', 'Morse Signal Analysis', ...\n",
" 'xaxis' , axesstyle_x, ...\n",
" 'yaxis' , axesstyle_y, ...\n",
" 'legend' , legendstyle, ...\n",
" 'hovermode', 'closest' ...\n",
");\n",
" \n",
"% send graph request\n",
"response = plotly({data1, data2, data3}, struct('layout', layout, ...\n",
" 'filename', 'morse_signal','fileopt', 'overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/142'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'morse_signal'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `plotly` MATLAB command sends data to my [plotly account](https://plot.ly/~andreyDim) and returns the unique url [https://plot.ly/~andreyDim/142](https://plot.ly/~andreyDim/142) where anyone can view the rendered graph.\n",
"\n",
"Every plotly graph URL can be [embedded in HTML as wrapped in an IFrame](https://plot.ly/api/MATLAB/docs/iframes). Here's a quick utility function that will embed a plotly graph in IPython notebooks."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import HTML\n",
"\n",
"def show_plot(url, width=700, height=500):\n",
" s = '<iframe height=\"%s\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"%s\" width=\"%s\"></iframe>' %\\\n",
" (height+50, \"/\".join(map(str,[url, width, height])), width+50)\n",
" return HTML(s)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see the the graph:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/142')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/142/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"<IPython.core.display.HTML at 0x5701a58>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sweet! Let's keep going..."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 2: Gain vs Frequency"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"% Prepare plotly environment\n",
"clear all\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Create a set of values for the damping factor\n",
"zeta = [0.01 .02 0.05 0.1 .2 .5 1 ];\n",
"\n",
"% Create a range of frequency values equally spaced logarithmically\n",
"w = logspace(-1, 1, 1000);\n",
"\n",
"% Define a color for each damping factor\n",
"colors = {'red' 'green' 'blue' 'lightblue' 'purple' 'lightgreen' 'fuchsia'};\n",
"\n",
"% Create PLOTLY data structs\n",
"data = cell(1,7);\n",
"\n",
"% Produce gain vs. frequency for each of the seven damping factors\n",
"for i = 1:7\n",
" a = w.^2 - 1;\n",
" b = 2*w*zeta(i);\n",
" gain = sqrt(1./(a.^2 + b.^2));\n",
" \n",
" \n",
" data{i} = struct(...\n",
" 'x', w, ...\n",
" 'y', gain, ...\n",
" 'type', 'scatter', ...\n",
" 'name', ['$\\\\zeta = ' num2str(zeta(i)) '$'], ...\n",
" 'mode', 'lines', ...\n",
" 'line', struct('color',colors{i},...\n",
" 'width',3) ...\n",
" );\n",
" \n",
"end\n",
"\n",
"% set axis styles\n",
"axesstyle_x = struct( ...\n",
" 'type' , 'log', ...\n",
" 'range' , [-1, 1], ...\n",
" 'linewidth' , 2, ...\n",
" 'title' , '$\\\\text{Frequency } \\\\omega$' ...\n",
");\n",
"axesstyle_y = struct( ...\n",
" 'type' , 'log', ...\n",
" 'range' , [-2, 2], ...\n",
" 'linewidth' , 2, ...\n",
" 'title' , '$\\\\text{Gain}$' ...\n",
");\n",
"\n",
"% set up legend style\n",
"legendstyle = struct( ...\n",
" 'x' , 0, ...\n",
" 'y' , 1, ...\n",
" 'bgcolor' , '#E2E2E2', ... \n",
" 'bordercolor' , '#FFFFFF', ...\n",
" 'borderwidth' , 2, ...\n",
" 'traceorder' , 'normal' ...\n",
" );\n",
"\n",
"% set layout style\n",
"layout = struct( ...\n",
" 'title', '$\\\\text{Gain vs Frequency } \\\\omega$', ...\n",
" 'xaxis' , axesstyle_x, ...\n",
" 'yaxis' , axesstyle_y, ...\n",
" 'legend', legendstyle, ...\n",
" 'hovermode', 'closest' ...\n",
");\n",
"\n",
"% send graph request\n",
"response = plotly(data, struct('layout', layout, ...\n",
" 'filename','gain_frequency', ...\n",
"\t'fileopt', 'overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/139'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'gain_frequency'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/139')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/139/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"<IPython.core.display.HTML at 0x570f0b8>"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 3: Tuberculosis Cases"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"\n",
"% Prepare plotly environment\n",
"clear all\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Create the data for the plots\n",
"TBdata = [1990 4889 16.4; 1991 5273 17.4; 1992 5382 17.4; 1993 5173 16.5;\n",
" 1994 4860 15.4; 1995 4675 14.7; 1996 4313 13.5; 1997 4059 12.5;\n",
" 1998 3855 11.7; 1999 3608 10.8; 2000 3297 9.7; 2001 3332 9.6;\n",
" 2002 3169 9.0; 2003 3227 9.0; 2004 2989 8.2; 2005 2903 7.9;\n",
" 2006 2779 7.4; 2007 2725 7.2];\n",
"\n",
"years = TBdata(:,1);\n",
"cases = TBdata(:,2);\n",
"rate = TBdata(:,3);\n",
"\n",
"% specify the style of each trace\n",
"data1 = struct('name', 'Cases', ...\n",
" 'opacity', 1.0, ...\n",
" 'x', TBdata(:,1), ...\n",
" 'y', TBdata(:,2), ...\n",
" 'xaxis','x', ...\n",
" 'yaxis','y', ...\n",
" 'type', 'bar', ...\n",
" 'marker', struct(...\n",
" 'color', 'white') ...\n",
");\n",
"\n",
"data2 = struct('name', 'Infection rate in cases per thousand', ...\n",
" 'opacity', 1.0, ...\n",
" 'x', TBdata(:,1), ...\n",
" 'y', TBdata(:,3), ...\n",
" 'xaxis','x', ...\n",
" 'yaxis','y2', ...\n",
" 'type', 'scatter', ...\n",
" 'mode', 'lines', ...\n",
" 'line', struct('color', 'purple', 'size', 2) ...\n",
" );\n",
"\n",
"% set the axis styles\n",
"axesstyle_x = struct( ...\n",
" 'title' , 'Years' ...\n",
");\n",
"axesstyle_y = struct( ...\n",
" 'range', [0 6000], ...\n",
" 'ticks' , '', ...\n",
" 'title' , 'Cases' ...\n",
");\n",
"axesstyle_y2 = struct( ...\n",
" 'showgrid' , false, ...\n",
" 'ticks' , '', ...\n",
" 'range', [6 18], ...\n",
" 'titlefont',struct( ...\n",
" 'color','purple' ...\n",
" ), ...\n",
" 'tickfont',struct( ...\n",
" 'color','purple' ...\n",
" ), ...\n",
" 'overlaying','y', ...\n",
" 'side','right', ...\n",
" 'title' , 'Infection rate in cases per thousand' ...\n",
");\n",
"\n",
"% set the layout style\n",
"layout = struct( ...\n",
" 'title', 'Tuberculosis Cases: 1991-2007', ...\n",
" 'xaxis' , axesstyle_x, ...\n",
" 'yaxis' , axesstyle_y, ...\n",
" 'yaxis2', axesstyle_y2, ...\n",
" 'plot_bgcolor', '#c7c7c7', ...\n",
" 'showlegend', false ...\n",
");\n",
" \n",
"% send graph request\n",
"response = plotly({data1, data2}, struct('layout', layout, ...\n",
" 'filename','Tuberculosis_cases', ...\n",
"\t'fileopt', 'overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/143'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'Tuberculosis_cases'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/143')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/143/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"<IPython.core.display.HTML at 0x570f080>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 4: Curve Fit"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"%set up plotly environment\n",
"clear all\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Load the data for x, y, and yfit\n",
"load 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\Matlab_Examples\\Curve_Fit_with_Confidence_Bounds\\fitdata'\n",
"\n",
"% set up scatter of samples\n",
"data1 = struct('name', 'Samples', ...\n",
" 'opacity', 1.0, ...\n",
" 'x', x, ...\n",
" 'y', y, ...\n",
" 'type', 'scatter', ...\n",
" 'mode', 'markers', ...\n",
" 'marker', struct('color', 'black') ...\n",
" );\n",
"\n",
"% set up curve fit\n",
"data2=data1;\n",
"data2.y = yfit;\n",
"data2.name = 'Localized Regression';\n",
"data2.mode = 'lines';\n",
"data2.line = struct('color', 'red', 'width', 4);\n",
"\n",
"% set up confidence intervals\n",
"data3 = data2;\n",
"data3.y = yfit+0.3;\n",
"data3.name = 'Confidence Interval';\n",
"data3.line = struct('color', 'purple', 'width', 1, 'dash', 'dashdot');\n",
"\n",
"data4 = data3;\n",
"data4.fill = 'tonexty';\n",
"data4.y = yfit-0.3;\n",
"\n",
"% set the axis style\n",
"axesstyle = struct( ...\n",
" 'zeroline' , false, ...\n",
" 'ticks' , '', ...\n",
" 'linecolor' , '#636363', ...\n",
" 'linewidth' , 2 ...\n",
");\n",
"\n",
"% set the layout style\n",
"layout = struct( ...\n",
" 'title', 'Curve Fit Visualization', ...\n",
" 'xaxis' , axesstyle, ...\n",
" 'yaxis' , axesstyle, ...\n",
" 'hovermode', 'closest', ...\n",
" 'showlegend', false ...\n",
");\n",
"\n",
"% send graph request\n",
"response = plotly({data1, data2, data3, data4}, struct('layout', layout, ...\n",
" 'filename','curve_fit_confidence', ...\n",
"\t'fileopt', 'overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/138'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'curve_fit_confidence'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/138')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/138/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
"<IPython.core.display.HTML at 0x570f668>"
]
}
],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 5: Spline and Convex Hull Property"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"%set up plotly environment\n",
"clear all\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Load the points for creating a spline curve\n",
"load 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\Matlab_Examples\\Add_Text_to_Plot_1\\splineData'\n",
"\n",
"% set up text\n",
"text = cell(1,size(points,1));\n",
"for i=1:numel(text)\n",
" text{i} = ['Point ' num2str(i)]; \n",
"end\n",
"\n",
"% set up scatter data\n",
"data1 = struct( ...\n",
" 'name', 'Control Points', ...\n",
" 'x', points(:,1), ...\n",
" 'y', points(:,2), ...\n",
" 'marker', struct( ...\n",
" 'color', 'red'), ...\n",
" 'mode', 'lines+markers+text',...\n",
" 'line', struct('color', 'black', 'width', 1, 'dash', 'dot'), ...\n",
" 'text', {text}, ...\n",
" 'textposition', 'top'...\n",
" );\n",
"\n",
"% set up spline\n",
"data2 = struct( ...\n",
" 'name', 'Spline', ...\n",
" 'x', x, ...\n",
" 'y', y, ...\n",
" 'mode', 'lines',...\n",
" 'line', struct('color', 'red', 'width', 3) ...\n",
" );\n",
"\n",
"\n",
"% set the axis style\n",
"axesstyle = struct( ...\n",
" 'showgrid' , false, ...\n",
" 'zeroline' , false, ...\n",
" 'showticklabels' , false, ...\n",
" 'ticks' , '', ...\n",
" 'linecolor' , '#636363', ...\n",
" 'linewidth' , 3 ...\n",
");\n",
"\n",
"% set the layout style\n",
"layout = struct( ...\n",
" 'title', 'The Convex-Hull Property', ...\n",
" 'xaxis' , axesstyle, ...\n",
" 'yaxis' , axesstyle, ...\n",
" 'hovermode', 'closest', ...\n",
" 'showlegend', false ...\n",
");\n",
" \n",
"% send graph request\n",
"response = plotly({data1, data2}, struct('layout', layout, ...\n",
" 'filename', 'convex_hull', 'fileopt','overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/141'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'convex_hull'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/141')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/141/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"<IPython.core.display.HTML at 0x570f940>"
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"EXAMPLE 6: Undersea Elevation"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%matlab\n",
"% set up plotly environment\n",
"clear all\n",
"\n",
"api_path = 'C:\\Users\\Andrey\\Dropbox\\ANDREY\\PLOTLY\\API_matlab\\plotly';\n",
"addpath(genpath(api_path))\n",
"signin('andreyDim', 'r0x3w3ivg4');\n",
"\n",
"% Load undersea elevation data\n",
"load seamount x y z;\n",
"\n",
"% set up color map for z values\n",
"step_size = (max(z)-min(z))/99;\n",
"map_idx = ceil((z - min(z))/step_size)+1;\n",
"color_map = jet(100);\n",
"\n",
"colors = cell(1,numel(x));\n",
"for i=1:numel(x)\n",
"colors{i} = ['rgb(' num2str(floor(255*color_map(map_idx(i),1))) ',' ...\n",
" num2str(floor(255*color_map(map_idx(i),2))) ',' ...\n",
" num2str(floor(255*color_map(map_idx(i),3))) ')'];\n",
"end\n",
"\n",
"% set up scatter data\n",
"data = struct( ...\n",
" 'x', x, ...\n",
" 'y', y, ...\n",
" 'marker', struct( ...\n",
" 'color', {colors}), ...\n",
" 'mode', 'markers' ...\n",
" );\n",
"\n",
"\n",
"\n",
"% set the axis styles\n",
"axesstyle_x = struct( ...\n",
" 'title' , 'Longitude' ...\n",
");\n",
"axesstyle_y = struct( ...\n",
" 'title' , 'Latitude' ...\n",
");\n",
"\n",
"\n",
"% set the layout style\n",
"layout = struct( ...\n",
" 'title', 'Undersea Elevation', ...\n",
" 'xaxis' , axesstyle_x, ...\n",
" 'yaxis' , axesstyle_y, ...\n",
" 'hovermode', 'closest', ...\n",
" 'showlegend', false ...\n",
");\n",
" \n",
"% send graph request\n",
"response = plotly(data, struct('layout', layout, ...\n",
" 'filename', 'undersea_elevation','fileopt', 'overwrite'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"\r\n",
"response = \r\n",
"\r\n",
" url: 'https://plot.ly/~andreyDim/140'\r\n",
" message: [1x0 char]\r\n",
" warning: [1x0 char]\r\n",
" filename: 'undersea_elevation'\r\n",
" error: [1x0 char]\r\n",
"\r\n"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"show_plot('https://plot.ly/~andreyDim/140')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe height=\"550\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~andreyDim/140/700/500\" width=\"750\"></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
"<IPython.core.display.HTML at 0x570f710>"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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