%load_ext pymatbridge

%%matlab

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            FROM MATLAB PLOT GALLERY              %
%  http://www.mathworks.com/discovery/gallery.html %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

api_path = ('/Users/chuckbronson/Documents/PLOTLY/MATLAB_API_REPO/DEV/TEST_PLOTS');
addpath(genpath(api_path));

load fitdata x y yfit;
fig = figure;
scatter(x, y, 'k');
line(x, yfit, 'color', 'k', 'linestyle', '-', 'linewidth', 2);
line(x, yfit + 0.3, 'color', 'r', 'linestyle', '--', 'linewidth', 2);
line(x, yfit - 0.3, 'color', 'r', 'linestyle', '--', 'linewidth', 2);
legend('Data', 'Localized Regression', 'Confidence Intervals', 2);
xlabel('X');
ylabel('Noisy');

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            PLOTLY           %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

resp = fig2plotly(fig,'name','matlab_overview_1'); % <---- ONE LINE OF PLOTLY CODE! 

%%matlab 
resp.url 

from IPython.display import HTML

def show_plot(url, width=800, height=650):
    s = '<iframe height="%s" id="igraph" scrolling="no" frameborder = 0 seamless="seamless" src="%s" width="%s"></iframe>' %\
    (height, "/".join(map(str,[url, width, height])), width)
    return HTML(s)

show_plot('https://plot.ly/~matlab_user_guide/661')

show_plot('https://plot.ly/~matlab_user_guide/662')

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            FROM MATLAB PLOT GALLERY              %
%  http://www.mathworks.com/discovery/gallery.html %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

fm = 20e3;
fc = 100e3;
tstep = 100e-9;
tmax  = 200e-6;
t = 0:tstep:tmax;
xam = (1 + cos(2*pi*fm*t)).*cos(2*pi*fc*t);
T = 1e-6;
N = 200;
nT = 0:T:N*T;
xn = (1 + cos(2*pi*fm*nT)).*cos(2*pi*fc*nT);
fig = figure;
subplot(2, 2, [1 3]);
plot(nT,xn);
xlabel('t');
ylabel('x[n]');
title('Sampled Every T=1e-6 ');
subplot(2, 2, 2);
plot(t, xam);
axis([0 200e-6 -2 2]);
title('AM Modulated Signal');
subplot(2, 2, 4);
plot(nT, xn);
title('Reconstruction at T=4e-6 ');

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%           PLOTLY            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

resp = fig2plotly(fig,'strip',1,'name','matlab_overview_3'); 

show_plot('https://plot.ly/~matlab_user_guide/663')

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            FROM MATLAB PLOT GALLERY              %
%  http://www.mathworks.com/discovery/gallery.html %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

TBdata = [1990 4889 16.4; 1991 5273 17.4; 1992 5382 17.4; 1993 5173 16.5;
          1994 4860 15.4; 1995 4675 14.7; 1996 4313 13.5; 1997 4059 12.5;
          1998 3855 11.7; 1999 3608 10.8; 2000 3297  9.7; 2001 3332  9.6;
          2002 3169  9.0; 2003 3227  9.0; 2004 2989  8.2; 2005 2903  7.9;
          2006 2779  7.4; 2007 2725  7.2];

years = TBdata(:,1);
cases = TBdata(:,2);
rate  = TBdata(:,3);
fig = figure;
[ax, h1, h2] = plotyy(years, cases, years, rate, 'bar', 'plot');
set(h1, 'FaceColor', [0.8, 0.8, 0.8]);
set(h2, 'LineWidth', 2);
title('Tuberculosis Cases: 1991-2007');
xlabel('Years');
set(get(ax(1), 'Ylabel'), 'String', 'Cases');
set(get(ax(2), 'Ylabel'), 'String', 'Infection rate in cases per thousand');

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%           PLOTLY            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

filename = 'matlab_overview_4';
resp = fig2plotly(fig,'name',filename); 

%%matlab 

resp.url

show_plot('https://plot.ly/~matlab_user_guide/664')

%%matlab

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%       GET PLOTLY FIG!       %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

plotlyfigure = getplotlyfig('bronsolo','82'); 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%         DATA/STYLE          %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% COLOUR CHOICES 
col1 = '#3C8A22';
col2 = '#097054'; 
col3 = 'black'; 

% BAR CHART STYLE 
plotlyfigure.data{1}.marker.color = col1;
plotlyfigure.data{1}.marker.line.width = 2; 
plotlyfigure.data{1}.marker.line.color = col3; 
plotlyfigure.data{1}.opacity = 0.7; 
plotlyfigure.data{1}.name = 'Cases'; 

% LINE STYLE 
plotlyfigure.data{2}.line.width = 10; 
plotlyfigure.data{2}.line.color = col2;  
plotlyfigure.data{2}.opacity = 0.7; 
plotlyfigure.data{2}.name = 'Infection Rate'; 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%           LAYOUT            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Y2 AXIS STYLE
plotlyfigure.layout.yaxis2.titlefont.color = col3; 
plotlyfigure.layout.yaxis2.tickfont.color = col2;
plotlyfigure.layout.yaxis2.tickcolor = col2; 
plotlyfigure.layout.yaxis2.linecolor = col2; 
plotlyfigure.layout.yaxis2.linewidth = 2; 

% X AXIS STYLE
plotlyfigure.layout.xaxis.mirror = 0; 
plotlyfigure.layout.xaxis.showline = 0; 

% BAR LAYOUT
plotlyfigure.layout.bargap = 0.2; 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%             ARGS            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

args.layout = plotlyfigure.layout; 
args.filename = 'matlab_overview_5'; 
args.fileopt = 'new'; 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%           PLOTLY            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

resp = plotly(plotlyfigure.data,args);
url = resp.url

show_plot('https://plot.ly/~matlab_user_guide/665')

show_plot('https://plot.ly/~ReadtheBox/35') 

%%matlab

plotlyfigure = getplotlyfig('ReadtheBox','35') %grab the data from ReadtheBox (awesome Plotly user!)

%%matlab 

plotlyfigure.data{1}

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%         DATA/STYLE          %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

traces= {plotlyfigure.data{1},plotlyfigure.data{2}}; % <--- FIRST TWO DATA ELEMENTS


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%            ARGS             %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

args.filename = 'matlab_overview_6'; 
args.fileopt = 'new';
args.layout = plotlyfigure.layout; 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%           PLOTLY            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

resp = plotly(traces,args); % <--- USE PLOTLY TO THROW OUR NEW PLOT ONLINE
resp.url 

show_plot('https://plot.ly/~matlab_user_guide/666')

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%         DATA/STYLE          %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

traces= {plotlyfigure.data{1},plotlyfigure.data{2}}; % <--- FROM BEFORE! 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%           LAYOUT            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

plotlyfigure.layout.barmode = 'group';  % <--- CHANGE FROM STACK TO GROUP! 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%             ARGS            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% ARGS STRUCTURE 
args.filename = 'matlab_overview_7'; 
args.fileopt = 'new';
args.layout = plotlyfigure.layout; 


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
%           PLOTLY            %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

resp = plotly(traces,args); 
resp.url

show_plot('https://plot.ly/~matlab_user_guide/669')

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            FROM MATLAB PLOT GALLERY              %
%  http://www.mathworks.com/discovery/gallery.html %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Load Morse data
load MDdata dissimilarities dist1 dist2 dist3

% Plot the first set of data in blue
fig = figure;
plot(dissimilarities, dist1, 'bo');
hold on;

% Plot the second set of data in red
plot(dissimilarities, dist2, 'r+');

% Plot the third set of data in green
plot(dissimilarities, dist3, 'g^');

% Add title and axis labels
title('Morse Signal Analysis');
xlabel('Dissimilarities');
ylabel('Distances');


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%            PLOTLY           %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

filename = 'matlab_overview_8'; 
resp = fig2plotly(fig,'name',filename);


%%matlab 

resp.url 

show_plot('https://plot.ly/~matlab_user_guide/670')

%%matlab 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%       GET PLOTLY FIG!       %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

plotlyfigure = getplotlyfig('matlab_user_guide','670'); 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%      SAVE PLOTLY FIG!       %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

filename = 'morse.png'; 

saveplotlyfig(plotlyfigure,filename)

show_plot('https://plot.ly/~chris/1638/')

show_plot('https://plot.ly/~jackp/671')

%%matlab 

plotlyfig = getplotlyfig('jackp','671')

%%matlab
filename = 'tax.png'; 
saveplotlyfig(plotlyfig,filename); 

# CSS styling within IPython notebook
from IPython.core.display import HTML
def css_styling():
    styles = open("./css/style_notebook.css", "r").read()
    return HTML(styles)

css_styling()