From 4fdeed8be80b3f50829de22b236fabc4463ae1fd Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 18 Jul 2017 17:17:25 +1000 Subject: [PATCH 01/12] In the main window, any 1D parameter of the selected instrument is now always plotted with a blue coloured line. Alternating random colours for different parameters of the same instrument was not justified. --- Graph/DepthProfile/graphDepthProfileGeneric.m | 13 +++++++------ Graph/Transect/graphTransectGeneric.m | 2 +- Graph/XvY/graphXvYGeneric.m | 7 ++++--- Graph/graphDepthProfile.m | 13 +------------ Graph/graphTimeSeries.m | 15 +-------------- Graph/graphTransect.m | 8 ++++---- Graph/graphXvY.m | 4 +--- 7 files changed, 19 insertions(+), 43 deletions(-) diff --git a/Graph/DepthProfile/graphDepthProfileGeneric.m b/Graph/DepthProfile/graphDepthProfileGeneric.m index 616cbba5b..f13627c97 100644 --- a/Graph/DepthProfile/graphDepthProfileGeneric.m +++ b/Graph/DepthProfile/graphDepthProfileGeneric.m @@ -1,4 +1,4 @@ -function [h, labels] = graphDepthProfileGeneric( ax, sample_data, var ) +function [h, labels] = graphDepthProfileGeneric( ax, sample_data, var, color ) %GRAPHDEPTHPROFILEGENERIC Plots the given variable (x axis) against depth % (y axis). % @@ -6,6 +6,7 @@ % ax - Parent axis. % sample_data - The data set. % var - The variable to plot. +% color - The color to be used to plot the variable. % % Outputs: % h - Handle(s) to the line(s) which was/were plotted. @@ -44,7 +45,7 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % -narginchk(3,3); +narginchk(4,4); if ~ishandle(ax), error('ax must be a graphics handle'); end if ~isstruct(sample_data), error('sample_data must be a struct'); end @@ -71,9 +72,9 @@ switch mode case 'profile' - h = line(var.data(:, 1), depth.data(:, 1), 'Parent', ax, 'LineStyle', '-'); % downcast + h = line(var.data(:, 1), depth.data(:, 1), 'Parent', ax, 'LineStyle', '-', 'Color', color); % downcast if size(var.data, 2) > 1 - h(end+1) = line(var.data(:, 2), depth.data(:, 2), 'Parent', ax, 'LineStyle', '--'); % upcast + h(end+1) = line(var.data(:, 2), depth.data(:, 2), 'Parent', ax, 'LineStyle', '--', 'Color', color); % upcast end case 'timeSeries' @@ -81,10 +82,10 @@ % ADCP data, we look for vertical dimension iVertDim = var.dimensions(2); for i=1:size(var.data, 2) - h(i) = line(var.data(:, i), depth.data - sample_data.dimensions{iVertDim}.data(i), 'Parent', ax, 'LineStyle', '-'); + h(i) = line(var.data(:, i), depth.data - sample_data.dimensions{iVertDim}.data(i), 'Parent', ax, 'LineStyle', '-', 'Color', color); end else - h = line(var.data, depth.data, 'Parent', ax, 'LineStyle', '-'); + h = line(var.data, depth.data, 'Parent', ax, 'LineStyle', '-', 'Color', color); end end diff --git a/Graph/Transect/graphTransectGeneric.m b/Graph/Transect/graphTransectGeneric.m index 18d2333ae..4926c4bf4 100644 --- a/Graph/Transect/graphTransectGeneric.m +++ b/Graph/Transect/graphTransectGeneric.m @@ -1,4 +1,4 @@ -function [h labels] = graphTransectGeneric( ax, sample_data, var ) +function [h, labels] = graphTransectGeneric( ax, sample_data, var ) %GRAPHTRANSECTGENERIC Plots the given variable as 2d transect data. Assumes % that the sample data struct contains latitude and longitude variable data. % diff --git a/Graph/XvY/graphXvYGeneric.m b/Graph/XvY/graphXvYGeneric.m index 74d9ef1ae..3260831e9 100644 --- a/Graph/XvY/graphXvYGeneric.m +++ b/Graph/XvY/graphXvYGeneric.m @@ -1,4 +1,4 @@ -function [h, labels] = graphXvYGeneric( ax, sample_data, vars ) +function [h, labels] = graphXvYGeneric( ax, sample_data, vars, color ) %GRAPHXVYGENERIC Plots the given variable (x axis) against another % (y axis). % @@ -6,6 +6,7 @@ % ax - Parent axis. % sample_data - The data set. % vars - The variables to plot. +% color - The color to be used to plot the variable. % % Outputs: % h - Handle(s) to the line(s) which was/were plotted. @@ -44,7 +45,7 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % -narginchk(3,3); +narginchk(4,4); if ~ishandle(ax), error('ax must be a graphics handle'); end if ~isstruct(sample_data), error('sample_data must be a struct'); end @@ -53,7 +54,7 @@ xdata = sample_data.variables{vars(1)}.data; ydata = sample_data.variables{vars(2)}.data; -h = line(xdata, ydata); +h = line(xdata, ydata, 'Color', color); set(ax, 'Tag', 'axis1D'); % for global/regional range display diff --git a/Graph/graphDepthProfile.m b/Graph/graphDepthProfile.m index a13070e82..bf0f36c73 100644 --- a/Graph/graphDepthProfile.m +++ b/Graph/graphDepthProfile.m @@ -122,20 +122,9 @@ 'Color', 'none',... 'YGrid', 'on'); - % make sure line colour alternate; because we are creating - % multiple axes, this is not done automatically for us - col = get(graphs(k), 'ColorOrder'); - col = col(mod(k, length(col))+1, :); - % plot the variable plotFunc = getGraphFunc('DepthProfile', 'graph', name); - [lines(k,:), labels] = plotFunc(graphs(k), sample_data, vars(k)); - - % set the line colour - wrap in a try block, - % as surface plot colour cannot be set - try set(lines(k,:), 'Color', col); - catch e - end + [lines(k,:), labels] = plotFunc(graphs(k), sample_data, vars(k), 'b'); % current variable is always plotted in blue % set x label uom = ''; diff --git a/Graph/graphTimeSeries.m b/Graph/graphTimeSeries.m index 689394f9b..ca6f2093a 100644 --- a/Graph/graphTimeSeries.m +++ b/Graph/graphTimeSeries.m @@ -181,22 +181,9 @@ 'XTickLabel', xTickLabels, ... 'YLim', yLimits, ... 'YTick', yTicks); - - % make sure line colour alternate; because we are creating - % multiple axes, this is not done automatically for us - col = get(graphs(k), 'ColorOrder'); - - % we get rid of the red color which is used for global range boundaries - % and in/out water boundaries - iRed = (col == repmat([1 0 0], [size(col, 1), 1])); - iRed = sum(iRed, 2); - iRed = iRed == 3; - col(iRed, :) = []; - - col = col(mod(vars(k),length(col))+1,:); % plot the variable - [lines(k,:), labels] = plotFunc(graphs(k), sample_data, k, col, xTickProp); + [lines(k,:), labels] = plotFunc(graphs(k), sample_data, k, 'b', xTickProp); % current variable is always plotted in blue if ~isempty(labels) % set x labels and ticks diff --git a/Graph/graphTransect.m b/Graph/graphTransect.m index 3b8163905..8d5e98e87 100644 --- a/Graph/graphTransect.m +++ b/Graph/graphTransect.m @@ -1,4 +1,4 @@ -function [graphs lines vars] = graphTransect( parent, sample_data, vars ) +function [graphs, lines, vars] = graphTransect( parent, sample_data, vars ) %GRAPHTRANSECT Graphs the given data in a 2D transect manner, using subplot. % % Inputs: @@ -89,13 +89,13 @@ set(graphs(k), 'Parent', parent,... 'XGrid', 'on',... - 'Color', 'none',... + 'Color', 'none',... 'YGrid', 'on', ... 'ZGrid', 'on'); % plot the variable - plotFunc = getGraphFunc('Transect', 'graph', name); - [lines(k,:) labels] = plotFunc( graphs(k), sample_data, vars(k)); + plotFunc = getGraphFunc('Transect', 'graph', name); + [lines(k,:), labels] = plotFunc(graphs(k), sample_data, vars(k)); % set labels set(get(graphs(k), 'XLabel'), 'String', labels{1}, 'Interpreter', 'none'); diff --git a/Graph/graphXvY.m b/Graph/graphXvY.m index f58023cd8..1be761b00 100644 --- a/Graph/graphXvY.m +++ b/Graph/graphXvY.m @@ -90,9 +90,7 @@ % plot the variable plotFunc = getGraphFunc('XvY', 'graph', xname); - [lines, labels] = plotFunc(graphs, sample_data, vars); - - set(lines, 'Color', 'blue'); + [lines, labels] = plotFunc(graphs, sample_data, vars, 'b'); % current variable is always plotted in blue % set x label uom = ''; From 6688ee55e88202c155cf9a5429d27b45eefc7587 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 18 Jul 2017 18:13:26 +1000 Subject: [PATCH 02/12] Updated fastSaveAs to force GUI to update itself before saving to file. For example on Linux the colorbar might be missing otherwise. --- Util/fastSaveas.m | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Util/fastSaveas.m b/Util/fastSaveas.m index 850e1f6f1..d7fcc95f3 100644 --- a/Util/fastSaveas.m +++ b/Util/fastSaveas.m @@ -21,6 +21,8 @@ function fastSaveas( hFig, fileDestination ) end +drawnow; % Forces GUI to update itself, otherwise colorbar might be missing + % use hgexport to print to file as close as possible as what we see myStyle = hgexport('factorystyle'); myStyle.Format = 'png'; % (default is eps) From 25c66ca292ba3981b368bd1eb2208ea027c13932 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 18 Jul 2017 18:16:14 +1000 Subject: [PATCH 03/12] Updated background of axis in main window and other diagnostic figures with a lighter grey for 1D plots in order to improve readability. --- Graph/DepthProfile/graphDepthProfileGeneric.m | 3 +++ Graph/TimeSeries/graphTimeSeriesGeneric.m | 2 +- Graph/Transect/graphTransectGeneric.m | 3 +++ Graph/XvY/graphXvYGeneric.m | 3 +++ Graph/checkMooringPlannedDepths.m | 2 +- Graph/checkMooringPresDiffs.m | 2 +- Graph/lineCastVar.m | 2 +- Graph/lineMooring1DVar.m | 2 +- Graph/lineMooring2DVarSection.m | 2 +- Graph/scatterMooring1DVarAgainstDepth.m | 2 +- 10 files changed, 16 insertions(+), 7 deletions(-) diff --git a/Graph/DepthProfile/graphDepthProfileGeneric.m b/Graph/DepthProfile/graphDepthProfileGeneric.m index f13627c97..e84189e76 100644 --- a/Graph/DepthProfile/graphDepthProfileGeneric.m +++ b/Graph/DepthProfile/graphDepthProfileGeneric.m @@ -106,6 +106,9 @@ end end +% set background to be grey +set(ax, 'Color', [0.85 0.85 0.85]) + labels = {var.name, 'DEPTH'}; % assume that the depth data is ascending - we want to display diff --git a/Graph/TimeSeries/graphTimeSeriesGeneric.m b/Graph/TimeSeries/graphTimeSeriesGeneric.m index b4dcc7b52..5de125534 100644 --- a/Graph/TimeSeries/graphTimeSeriesGeneric.m +++ b/Graph/TimeSeries/graphTimeSeriesGeneric.m @@ -97,7 +97,7 @@ end % set background to be grey -set(ax, 'Color', [0.75 0.75 0.75]) +set(ax, 'Color', [0.85 0.85 0.85]) if strncmp(var.name, 'DEPTH', 4) || strncmp(var.name, 'PRES', 4) || strncmp(var.name, 'PRES_REL', 8) set(ax, 'YDir', 'reverse'); diff --git a/Graph/Transect/graphTransectGeneric.m b/Graph/Transect/graphTransectGeneric.m index 4926c4bf4..f0e9ee93a 100644 --- a/Graph/Transect/graphTransectGeneric.m +++ b/Graph/Transect/graphTransectGeneric.m @@ -72,4 +72,7 @@ if length(cbLabel) > 20, cbLabel = [cbLabel(1:17) '...']; end set(get(cb, 'YLabel'), 'String', cbLabel, 'Interpreter', 'none'); +% set background to be grey +set(ax, 'Color', [0.85 0.85 0.85]) + labels = {'LATITUDE', 'LONGITUDE'}; diff --git a/Graph/XvY/graphXvYGeneric.m b/Graph/XvY/graphXvYGeneric.m index 3260831e9..be99daba2 100644 --- a/Graph/XvY/graphXvYGeneric.m +++ b/Graph/XvY/graphXvYGeneric.m @@ -78,4 +78,7 @@ end end +% set background to be grey +set(ax, 'Color', [0.85 0.85 0.85]) + labels = {sample_data.variables{vars(1)}.name, sample_data.variables{vars(2)}.name}; \ No newline at end of file diff --git a/Graph/checkMooringPlannedDepths.m b/Graph/checkMooringPlannedDepths.m index c807b4cbd..cb250e5aa 100644 --- a/Graph/checkMooringPlannedDepths.m +++ b/Graph/checkMooringPlannedDepths.m @@ -84,7 +84,7 @@ function checkMooringPlannedDepths(sample_data, isQC, saveToFile, exportDir) timeVar = dataVar; isPlottable = false; -backgroundColor = [0.75 0.75 0.75]; +backgroundColor = [0.85 0.85 0.85]; for i=1:lenSampleData %only look at instruments with pressure diff --git a/Graph/checkMooringPresDiffs.m b/Graph/checkMooringPresDiffs.m index 432adbb2b..46842e219 100644 --- a/Graph/checkMooringPresDiffs.m +++ b/Graph/checkMooringPresDiffs.m @@ -137,7 +137,7 @@ function checkMooringPresDiffs(sample_data, iSampleMenu, isQC, saveToFile, expor isPlottable = false; -backgroundColor = [0.75 0.75 0.75]; +backgroundColor = [0.85 0.85 0.85]; %plot fileName = genIMOSFileName(sample_data{iCurrSam}, 'png'); diff --git a/Graph/lineCastVar.m b/Graph/lineCastVar.m index 693b2ac16..902d797b0 100644 --- a/Graph/lineCastVar.m +++ b/Graph/lineCastVar.m @@ -274,7 +274,7 @@ function lineCastVar(sample_data, varNames, isQC, saveToFile, exportDir) 'Layer', 'top'); % set background to be grey - set(hAxCastVar, 'Color', [0.75 0.75 0.75]) + set(hAxCastVar, 'Color', [0.85 0.85 0.85]) end end diff --git a/Graph/lineMooring1DVar.m b/Graph/lineMooring1DVar.m index 0ff97d79c..1b6c78248 100644 --- a/Graph/lineMooring1DVar.m +++ b/Graph/lineMooring1DVar.m @@ -128,7 +128,7 @@ function lineMooring1DVar(sample_data, varName, isQC, saveToFile, exportDir) initiateFigure = true; isPlottable = false; -backgroundColor = [0.75 0.75 0.75]; +backgroundColor = [0.85 0.85 0.85]; for i=1:lenSampleData % instrument description diff --git a/Graph/lineMooring2DVarSection.m b/Graph/lineMooring2DVarSection.m index ef5ede303..b1c27197d 100644 --- a/Graph/lineMooring2DVarSection.m +++ b/Graph/lineMooring2DVarSection.m @@ -108,7 +108,7 @@ function lineMooring2DVarSection(sample_data, varName, timeValue, isQC, saveToFi dimTitle = imosParameters(dimName, 'long_name'); dimUnit = imosParameters(dimName, 'uom'); -backgroundColor = [0.75 0.75 0.75]; +backgroundColor = [0.85 0.85 0.85]; if iVar > 0 if initiateFigure diff --git a/Graph/scatterMooring1DVarAgainstDepth.m b/Graph/scatterMooring1DVarAgainstDepth.m index 9224fba59..d56040574 100644 --- a/Graph/scatterMooring1DVarAgainstDepth.m +++ b/Graph/scatterMooring1DVarAgainstDepth.m @@ -156,7 +156,7 @@ function scatterMooring1DVarAgainstDepth(sample_data, varName, isQC, saveToFile, end end -backgroundColor = [0.75 0.75 0.75]; +backgroundColor = [0.85 0.85 0.85]; if any(isPlottable) % collect visualQC config From 37af98e028ede7f077d2c730cb56ad6d9f8d6824 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Wed, 19 Jul 2017 11:29:17 +1000 Subject: [PATCH 04/12] Cleanup mainWindow.m code and indent it properly. --- GUI/mainWindow.m | 1531 ++++++++++++++++++++++------------------------ 1 file changed, 742 insertions(+), 789 deletions(-) diff --git a/GUI/mainWindow.m b/GUI/mainWindow.m index 5ecce1843..2951c70e0 100644 --- a/GUI/mainWindow.m +++ b/GUI/mainWindow.m @@ -1,5 +1,4 @@ -function mainWindow(... - windowTitle, sample_data, states, startState, selectionCallback) +function mainWindow(windowTitle, sample_data, states, startState, selectionCallback) %MAINWINDOW Displays a window which allows the user to view data. % % The mainWindow is the main toolbox window. It provides menus allowing the @@ -11,14 +10,14 @@ function mainWindow(... % up to the calling function to define the buttons which will appear down % the left of the window; these are referred to as states. % -% Whenever the user changes the state (via a state button) or any of the -% options, the provided selectionCallback function is called with the new +% Whenever the user changes the state (via a state button) or any of the +% options, the provided selectionCallback function is called with the new % selection. % % The main window never modifies data, but must be kept informed of changes % to the data set. This is achieved by the updateCallback function handle % which is passed to the selectionCallback function. Whenever data is -% changed, this function must be called in order to keep the main window +% changed, this function must be called in order to keep the main window % display consistent. % % Inputs: @@ -26,13 +25,13 @@ function mainWindow(... % sample_data - Cell array of structs of sample data. % states - Cell array of strings containing state names. % startState - Index into states array, specifying initial state. -% selectionCallback - A function which is called when the user pushes a -% state button. The function must take the following +% selectionCallback - A function which is called when the user pushes a +% state button. The function must take the following % input arguments: % event - String describing what triggered % the callback. One of 'state', % 'set', 'graph', or 'var'. -% panel - A uipanel on which things can be +% panel - A uipanel on which things can be % drawn. % updateCallback - Function to be called when data % is updated. The function is of @@ -42,72 +41,70 @@ function mainWindow(... % state - Currently selected state (String) % sample_data - Cell array of sample_data % structs -% graphType - Currently selected graph type +% graphType - Currently selected graph type % (String) % set - Currently selected sample_data % struct % vars - Currently selected variables % The function must also provide one output argument: % state - the new state, if it changed. -% +% % % Author: Paul McCarthy % Contributor: Guillaume Galibert % % -% Copyright (c) 2016, Australian Ocean Data Network (AODN) and Integrated +% Copyright (c) 2016, Australian Ocean Data Network (AODN) and Integrated % Marine Observing System (IMOS). % All rights reserved. -% -% Redistribution and use in source and binary forms, with or without +% +% Redistribution and use in source and binary forms, with or without % modification, are permitted provided that the following conditions are met: -% -% * Redistributions of source code must retain the above copyright notice, +% +% * Redistributions of source code must retain the above copyright notice, % this list of conditions and the following disclaimer. -% * Redistributions in binary form must reproduce the above copyright -% notice, this list of conditions and the following disclaimer in the +% * Redistributions in binary form must reproduce the above copyright +% notice, this list of conditions and the following disclaimer in the % documentation and/or other materials provided with the distribution. -% * Neither the name of the AODN/IMOS nor the names of its contributors -% may be used to endorse or promote products derived from this software +% * Neither the name of the AODN/IMOS nor the names of its contributors +% may be used to endorse or promote products derived from this software % without specific prior written permission. -% -% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE -% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE -% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE -% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR -% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF -% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS -% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN -% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) -% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +% +% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE +% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % - narginchk(5,5); +narginchk(5,5); + +if ~ischar(windowTitle), error('windowTitle must be a string'); end +if ~iscell(sample_data) || isempty(sample_data), error('sample_data must be a cell array'); end +if ~iscellstr(states), error('states must be a cell array'); end +if ~isnumeric(startState), error('initialState must be a numeric'); end +if ~isa(selectionCallback, 'function_handle'), error('selectionCallback must be a function'); end + +currentState = states{startState}; - if ~ischar(windowTitle), error('windowTitle must be a string'); end - if ~iscell(sample_data)... - || isempty(sample_data), error('sample_data must be a cell array'); end - if ~iscellstr(states), error('states must be a cell array'); end - if ~isnumeric(startState), error('initialState must be a numeric'); end - if ~isa(selectionCallback,... - 'function_handle'), error('selectionCallback must be a function'); end - - currentState = states{startState}; - - % sample menu entries (1-1 mapping to sample_data structs) - lenSam = length(sample_data); - sampleDataDescs = cell(lenSam, 1); - for k = 1:lenSam +% sample menu entries (1-1 mapping to sample_data structs) +lenSam = length(sample_data); +sampleDataDescs = cell(lenSam, 1); +for k = 1:lenSam sampleDataDescs{k} = genSampleDataDesc(sample_data{k}); - end +end - % window figure - fig = figure(... +% window figure +fig = figure(... 'Name', windowTitle, ... 'Visible', 'off',... - 'Color', [0.92549 0.913725 0.847059],... + 'Color', [0.75 0.75 0.75],... 'MenuBar', 'none',... 'ToolBar', 'figure',... 'Resize', 'on',... @@ -115,614 +112,466 @@ function mainWindow(... 'NumberTitle', 'off',... 'Tag', 'mainWindow'); - % sample data selection menu - sampleMenu = uicontrol(... +% sample data selection menu +sampleMenu = uicontrol(... 'Style', 'popupmenu',... 'String', sampleDataDescs,... 'Value', 1,... - 'Tag', 'samplePopUpMenu'); - - % get the toolbox execution mode - mode = readProperty('toolbox.mode'); - - switch mode - case 'profile' - graphMenuValue = 2; - case 'timeSeries' - graphMenuValue = 1; - end + 'Tag', 'samplePopUpMenu'); + +% get the toolbox execution mode +mode = readProperty('toolbox.mode'); + +switch mode + case 'profile' + graphMenuValue = 2; + case 'timeSeries' + graphMenuValue = 1; +end - % graph type selection menu - graphMenu = uicontrol(... +% graph type selection menu +graphMenu = uicontrol(... 'Style', 'popupmenu',... 'String', listGraphs(),... 'Value', graphMenuValue); - - % side panel - sidePanel = uipanel(... + +% side panel +sidePanel = uipanel(... 'Parent', fig,... 'BorderType', 'none'); - - % state buttons - lenStates = length(states); - stateButtons = nan(lenStates, 1); - for k = 1:lenStates + +% state buttons +lenStates = length(states); +stateButtons = nan(lenStates, 1); +for k = 1:lenStates stateButtons(k) = uicontrol(... - 'Parent', sidePanel,... - 'Style', 'pushbutton',... - 'String', states{k}); - end - - % button to save current graph as an image - graphButton = uicontrol(... + 'Parent', sidePanel,... + 'Style', 'pushbutton',... + 'String', states{k}); +end + +% button to save current graph as an image +graphButton = uicontrol(... 'Parent', sidePanel, ... 'Style', 'pushbutton',... - 'String', 'Save Graph' ... - ); - - % variable selection panel - created in createVarPanel - varPanel = uipanel(... + 'String', 'Save Graph'); + +% variable selection panel - created in createVarPanel +varPanel = uipanel(... 'Parent', sidePanel,... 'BorderType', 'none'); - - % main display - mainPanel = uipanel(... + +% main display +mainPanel = uipanel(... 'Parent', fig,... 'BorderType', 'none',... - 'Tag', 'mainPanel'); - - % use normalized units - set(fig, 'Units', 'normalized'); - set(sidePanel, 'Units', 'normalized'); - set(mainPanel, 'Units', 'normalized'); - set(varPanel, 'Units', 'normalized'); - set(graphButton, 'Units', 'normalized'); - set(sampleMenu, 'Units', 'normalized'); - set(graphMenu, 'Units', 'normalized'); - set(stateButtons, 'Units', 'normalized'); - - % set window position - set(fig, 'Position', [0.1, 0.15, 0.8, 0.7 ]); - - % restrict window to primary screen - set(fig, 'Units', 'pixels'); - pos = get(fig, 'OuterPosition'); - monitors = get(0, 'MonitorPositions'); - if pos(3) > monitors(1,3) - pos(1) = 1; - pos(3) = monitors(1,3); - set(fig, 'OuterPosition', pos); - get(fig, 'Position'); - end - - % set widget positions - set(sidePanel, 'Position', [0.0, 0.0, 0.15, 0.95]); - set(mainPanel, 'Position', [0.15, 0.0, 0.85, 0.95]); - set(sampleMenu, 'Position', [0.0, 0.95, 0.75, 0.05]); - set(graphMenu, 'Position', [0.75, 0.95, 0.25, 0.05]); - - set(fig, 'Units', 'normalized'); - - % set widget positions -% set(sidePanel, 'Position', [0.0, 0.0, 0.15, 0.95]); - set(sidePanel, 'Position', posUi2(fig, 100, 100, 6:100, 1:10, 0)); -% set(mainPanel, 'Position', [0.15, 0.0, 0.85, 0.95]); - set(mainPanel, 'Position', posUi2(fig, 100, 100, 6:100, 11:100, 0)); -% set(sampleMenu, 'Position', [0.0, 0.95, 0.75, 0.05]); - set(sampleMenu, 'Position', posUi2(fig, 100, 100, 1:5, 1:75, 0)); -% set(graphMenu, 'Position', [0.75, 0.95, 0.25, 0.05]); - set(graphMenu, 'Position', posUi2(fig, 100, 100, 1:5, 76:100, 0)); - - % varPanel, graph and stateButtons are positioned relative to sidePanel -% set(varPanel, 'Position', [0.0, 0.0, 1.0, 0.5]); - set(varPanel, 'Position', posUi2(sidePanel, 10, 1, 6:10, 1, 0)); - - n = length(stateButtons); - for k = 1:n -% set(stateButtons(k), 'Position', ... -% [0.0, 0.5+(n+1-k)*(0.5/(n+1)), 1.0, 0.5/(n+1)]); - set(stateButtons(k), 'Position', ... - posUi2(sidePanel, 2*(n+1)+1, 1, k, 1, 0)); - end - - % graph button is tacked on right below state buttons -% set(graphButton, 'Position', [0.0, 0.5, 1.0, 0.5/(n+1)]); - set(graphButton, 'Position', posUi2(sidePanel, 2*(n+1)+1, 1, n+1, 1, 0)); - - % reset back to pixels -% set(fig, 'Units', 'pixels'); -% set(sidePanel, 'Units', 'pixels'); -% set(mainPanel, 'Units', 'pixels'); -% set(varPanel, 'Units', 'pixels'); -% set(graphButton, 'Units', 'pixels'); -% set(sampleMenu, 'Units', 'pixels'); -% set(graphMenu, 'Units', 'pixels'); -% set(stateButtons, 'Units', 'pixels'); - - % set callbacks - variable panel widget - % callbacks are set in createParamPanel - set(sampleMenu, 'Callback', @sampleMenuCallback); - set(graphMenu, 'Callback', @graphMenuCallback); - set(stateButtons, 'Callback', @stateButtonCallback); - set(graphButton, 'Callback', @graphButtonCallback); - - set(fig, 'Visible', 'on'); - createVarPanel(sample_data{1}, []); - selectionChange('state'); - - tb = findall(fig, 'Type', 'uitoolbar'); - buttons = findall(tb); - - zoomoutb = findobj(buttons, 'TooltipString', 'Zoom Out'); - zoominb = findobj(buttons, 'TooltipString', 'Zoom In'); - panb = findobj(buttons, 'TooltipString', 'Pan'); - datacursorb = findobj(buttons, 'TooltipString', 'Data Cursor'); - - buttons(buttons == tb) = []; - buttons(buttons == zoomoutb) = []; - buttons(buttons == zoominb) = []; - buttons(buttons == panb) = []; - buttons(buttons == datacursorb) = []; - - delete(buttons); - - %set zoom/pan post-callback - %zoom v6 off; % undocumented Matlab to make sure zoom function prior to R14 is not used. Seems to not be supported from R2015a. - hZoom = zoom(fig); - hPan = pan(fig); - set(hZoom, 'ActionPostCallback', @zoomPostCallback); - set(hPan, 'ActionPostCallback', @zoomPostCallback); - - % update zoom in and pan's tooltips to display hot keys - set(zoominb, 'TooltipString', 'Zoom In (Ctrl+z)'); - set(panb, 'TooltipString', 'Pan (Ctrl+a)'); - - %set uimenu - hToolsMenu = uimenu(fig, 'label', 'Tools'); - switch mode - case 'timeSeries' - hToolsCheckPlannedDepths = uimenu(hToolsMenu, 'label', 'Check measured against planned depths'); - hToolsCheckPlannedDepthsNonQC = uimenu(hToolsCheckPlannedDepths, 'label', 'all data'); - hToolsCheckPlannedDepthsQC = uimenu(hToolsCheckPlannedDepths, 'label', 'only good and non QC''d data'); - hToolsCheckPressDiffs = uimenu(hToolsMenu, 'label', 'Check pressure differences between selected instrument and nearest neighbours'); - hToolsCheckPressDiffsNonQC = uimenu(hToolsCheckPressDiffs, 'label', 'all data'); - hToolsCheckPressDiffsQC = uimenu(hToolsCheckPressDiffs, 'label', 'only good and non QC''d data'); - hToolsLineDepth = uimenu(hToolsMenu, 'label', 'Line plot mooring''s depths'); - hToolsLineDepthNonQC = uimenu(hToolsLineDepth, 'label', 'all data'); - hToolsLineDepthQC = uimenu(hToolsLineDepth, 'label', 'only good and non QC''d data'); - hToolsLineCommonVar = uimenu(hToolsMenu, 'label', 'Line plot mooring''s 1D variables'); - hToolsLineCommonVarNonQC = uimenu(hToolsLineCommonVar, 'label', 'all data'); - hToolsLineCommonVarQC = uimenu(hToolsLineCommonVar, 'label', 'only good and non QC''d data'); - hToolsScatterCommonVar = uimenu(hToolsMenu, 'label', 'Scatter plot mooring''s 1D variables VS depth'); - hToolsScatterCommonVarNonQC = uimenu(hToolsScatterCommonVar, 'label', 'all data'); - hToolsScatterCommonVarQC = uimenu(hToolsScatterCommonVar, 'label', 'only good and non QC''d data'); - hToolsScatter2DCommonVar = uimenu(hToolsMenu, 'label', 'Scatter plot mooring''s 2D variables VS depth'); - hToolsScatter2DCommonVarNonQC = uimenu(hToolsScatter2DCommonVar, 'label', 'all data'); - hToolsScatter2DCommonVarQC = uimenu(hToolsScatter2DCommonVar, 'label', 'only good and non QC''d data'); - - %set menu callbacks - set(hToolsCheckPlannedDepthsNonQC, 'callBack', {@displayCheckPlannedDepths, false}); - set(hToolsCheckPlannedDepthsQC, 'callBack', {@displayCheckPlannedDepths, true}); - set(hToolsCheckPressDiffsNonQC, 'callBack', {@displayCheckPressDiffs, false}); - set(hToolsCheckPressDiffsQC, 'callBack', {@displayCheckPressDiffs, true}); - set(hToolsLineDepthNonQC, 'callBack', {@displayLineMooringDepth, false}); - set(hToolsLineDepthQC, 'callBack', {@displayLineMooringDepth, true}); - set(hToolsLineCommonVarNonQC, 'callBack', {@displayLineMooringVar, false}); - set(hToolsLineCommonVarQC, 'callBack', {@displayLineMooringVar, true}); - set(hToolsScatterCommonVarNonQC, 'callBack', {@displayScatterMooringVar, false, true}); - set(hToolsScatterCommonVarQC, 'callBack', {@displayScatterMooringVar, true, true}); - set(hToolsScatter2DCommonVarNonQC, 'callBack', {@displayScatterMooringVar, false, false}); - set(hToolsScatter2DCommonVarQC, 'callBack', {@displayScatterMooringVar, true, false}); - case 'profile' - hToolsLineCastVar = uimenu(hToolsMenu, 'label', 'Line plot profile variables'); - hToolsLineCastVarNonQC = uimenu(hToolsLineCastVar, 'label', 'all data'); - hToolsLineCastVarQC = uimenu(hToolsLineCastVar, 'label', 'only good and non QC''d data'); - - %set menu callbacks - set(hToolsLineCastVarNonQC, 'callBack', {@displayLineCastVar, false}); - set(hToolsLineCastVarQC, 'callBack', {@displayLineCastVar, true}); - end - hHotKeyMenu = uimenu(fig, 'label', 'Hot Keys'); - uimenu(hHotKeyMenu, 'Label', 'Enable zoom', 'Accelerator', 'z', 'Callback', @(src,evt)zoom(fig, 'on')); - uimenu(hHotKeyMenu, 'Label', 'Enable pan', 'Accelerator', 'a', 'Callback', @(src,evt)pan( fig, 'on')); - uimenu(hHotKeyMenu, 'Label', 'Disable zoom/pan', 'Accelerator', 'q', 'Callback', @disableZoomAndPan); - - hHelpMenu = uimenu(fig, 'label', 'Help'); - hHelpWiki = uimenu(hHelpMenu, 'label', 'IMOS Toolbox Wiki'); - - %set menu callbacks - set(hHelpWiki, 'callBack', @openWikiPage); - - %% Widget Callbacks - - function selectionChange(event) - %Retrieves the current selection, clears the main panel, and calls - % selectionCallback. - % - state = currentState; - sam = getSelectedData(); - vars = getSelectedVars(); - graph = getSelectedGraphType(); - - % clear main panel - children = get(mainPanel, 'Children'); - delete(children); - - % delete any mouse listeners that may have been added - zoom off; - pan off; - set(fig, 'WindowButtonDownFcn', []); - set(fig, 'WindowButtonMotionFcn', []); - set(fig, 'WindowButtonUpFcn', []); - - currentState = selectionCallback(... - event,... - mainPanel, ... - @updateCallback, ... - state, ... - sample_data, ... - graph, ... - sam.meta.index, vars); - - % set data cursor mode custom display - dcm_obj = datacursormode(fig); - set(dcm_obj, 'UpdateFcn', {@customDcm, sam, vars, graph, mode}); - end - - function sampleMenuCallback(source,ev) - %SAMPLEMENUCALLBACK Called when a dataset is selected from the sample - % menu. Updates the variables panel, then delegates to selectionChange. - % - sam = getSelectedData(); - - % keep track of previously selected variables - iTickBox = getSelectedVars(); - nTickBoxed = length(iTickBox); - selectedVarNames = cell(1, nTickBoxed); - tickBoxes = get(varPanel, 'UserData'); - for i=1:nTickBoxed - selectedVarNames{i} = get(tickBoxes(iTickBox(i)), 'String'); - end - - % reset the varPanel - newVars = []; - createVarPanel(sam, []); - - % we want to be able to keep the selected variables from one dataset to another if possible - newTickBoxes = get(varPanel, 'UserData'); - for j=1:length(newTickBoxes) - varName = get(newTickBoxes(j), 'String'); - if any(strcmp(varName, selectedVarNames)) - newVars = [newVars j]; - end - end - - if ~isempty(newVars), createVarPanel(sam, newVars); end - selectionChange('set'); - end - - function graphMenuCallback(source,ev) - %GRAPHMENUCALLBACK Called when the user changes the graph type via the - % graph selection menu. Delegates to selectionChange. - % - selectionChange('graph'); - end - - function stateButtonCallback(source, ev) - %STATEBUTTONCALLBACK Called when the user pushes a state button. Updates - % the current state, then delegates to selectionChange. - % + 'Tag', 'mainPanel'); + +% use normalized units +set(fig, 'Units', 'normalized'); +set(sidePanel, 'Units', 'normalized'); +set(mainPanel, 'Units', 'normalized'); +set(varPanel, 'Units', 'normalized'); +set(graphButton, 'Units', 'normalized'); +set(sampleMenu, 'Units', 'normalized'); +set(graphMenu, 'Units', 'normalized'); +set(stateButtons, 'Units', 'normalized'); + +% set window position +set(fig, 'Position', [0.1, 0.15, 0.8, 0.7]); + +% restrict window to primary screen +set(fig, 'Units', 'pixels'); +pos = get(fig, 'OuterPosition'); +monitors = get(0, 'MonitorPositions'); +if pos(3) > monitors(1,3) + pos(1) = 1; + pos(3) = monitors(1,3); + set(fig, 'OuterPosition', pos); +end +set(fig, 'Units', 'normalized'); - currentState = get(source, 'String'); - selectionChange('state'); - - % reset varPanel - sam = getSelectedData(); - vars = getSelectedVars(); - createVarPanel(sam, vars); - end +% set widget positions +set(sidePanel, 'Position', posUi2(fig, 100, 100, 6:100, 1:10, 0)); +set(mainPanel, 'Position', posUi2(fig, 100, 100, 6:100, 11:100, 0)); +set(sampleMenu, 'Position', posUi2(fig, 100, 100, 1:5, 1:75, 0)); +set(graphMenu, 'Position', posUi2(fig, 100, 100, 1:5, 76:100, 0)); - function graphButtonCallback(source, ev) - %GRAPHBUTTONCALLBACK Called when the user pushes the 'Save Graph' button. - % Prompts the user to save the current graph. - - % find all axes objects on the main panel - ax = findobj(mainPanel, 'Type', 'axes'); - - % save the axes - saveGraph(fig, ax); - - end +% varPanel, graph and stateButtons are positioned relative to sidePanel +set(varPanel, 'Position', posUi2(sidePanel, 10, 1, 6:10, 1, 0)); - function varPanelCallback(source,ev) - %PARAMPANELCALLBACK Called when the variable or dimension selection - % changes. Delegates to selectionChange. - % - selectionChange('var'); - end +n = length(stateButtons); +for k = 1:n + set(stateButtons(k), 'Position', posUi2(sidePanel, 2*(n+1)+1, 1, k, 1, 0)); +end - function zoomPostCallback(source,ev) - %ZOOMPOSTCALLBACK Called when the zoom function is called. Redraws axis ticks. - % - graphs1D = findobj('Tag', 'axis1D'); - graphs2D = findobj('Tag', 'axis2D'); - - isCurAx1D = false; - iGraph1D = (gca == graphs1D); - if any(iGraph1D) - isCurAx1D = true; - graphs1D(iGraph1D) = []; - else - graphs2D(gca == graphs2D) = []; - end - - graphs = [graphs1D; graphs2D]; - - % reset current axis yTicks - yLimits = get(gca, 'YLim'); - yStep = (yLimits(2) - yLimits(1)) / 5; - yTicks = yLimits(1):yStep:yLimits(2); - set(gca, 'YTick', yTicks); - - % sync all other 2D Y axis if needed - if ~isCurAx1D && ~isempty(graphs2D) - set(graphs2D, 'YLim', yLimits); - set(graphs2D, 'YTick', yTicks); - end - - % reset current axis xTicks - xLimits = get(gca, 'XLim'); - xStep = (xLimits(2) - xLimits(1)) / 5; - xTicks = xLimits(1):xStep:xLimits(2); - set(gca, 'XTick', xTicks); - - graphName = get(graphMenu, 'String'); - graphName = graphName{get(graphMenu, 'Value')}; - if strcmpi(graphName, 'TimeSeries') - % sync all other X axis - set(graphs, 'XLim', xLimits); - set(graphs, 'XTick', xTicks); +% graph button is tacked on right below state buttons +set(graphButton, 'Position', posUi2(sidePanel, 2*(n+1)+1, 1, n+1, 1, 0)); + +% set callbacks - variable panel widget +% callbacks are set in createParamPanel +set(sampleMenu, 'Callback', @sampleMenuCallback); +set(graphMenu, 'Callback', @graphMenuCallback); +set(stateButtons, 'Callback', @stateButtonCallback); +set(graphButton, 'Callback', @graphButtonCallback); + +set(fig, 'Visible', 'on'); +createVarPanel(sample_data{1}, []); +selectionChange('state'); + +tb = findall(fig, 'Type', 'uitoolbar'); +buttons = findall(tb); + +zoomoutb = findobj(buttons, 'TooltipString', 'Zoom Out'); +zoominb = findobj(buttons, 'TooltipString', 'Zoom In'); +panb = findobj(buttons, 'TooltipString', 'Pan'); +datacursorb = findobj(buttons, 'TooltipString', 'Data Cursor'); + +buttons(buttons == tb) = []; +buttons(buttons == zoomoutb) = []; +buttons(buttons == zoominb) = []; +buttons(buttons == panb) = []; +buttons(buttons == datacursorb) = []; + +delete(buttons); + +%set zoom/pan post-callback +%zoom v6 off; % undocumented Matlab to make sure zoom function prior to R14 is not used. Seems to not be supported from R2015a. +hZoom = zoom(fig); +hPan = pan(fig); +set(hZoom, 'ActionPostCallback', @zoomPostCallback); +set(hPan, 'ActionPostCallback', @zoomPostCallback); + +% update zoom in and pan's tooltips to display hot keys +set(zoominb, 'TooltipString', 'Zoom In (Ctrl+z)'); +set(panb, 'TooltipString', 'Pan (Ctrl+a)'); + +%set uimenu +hToolsMenu = uimenu(fig, 'label', 'Tools'); +switch mode + case 'timeSeries' + hToolsCheckPlannedDepths = uimenu(hToolsMenu, 'label', 'Check measured against planned depths'); + hToolsCheckPlannedDepthsNonQC = uimenu(hToolsCheckPlannedDepths, 'label', 'all data'); + hToolsCheckPlannedDepthsQC = uimenu(hToolsCheckPlannedDepths, 'label', 'only good and non QC''d data'); + hToolsCheckPressDiffs = uimenu(hToolsMenu, 'label', 'Check pressure differences between selected instrument and nearest neighbours'); + hToolsCheckPressDiffsNonQC = uimenu(hToolsCheckPressDiffs, 'label', 'all data'); + hToolsCheckPressDiffsQC = uimenu(hToolsCheckPressDiffs, 'label', 'only good and non QC''d data'); + hToolsLineDepth = uimenu(hToolsMenu, 'label', 'Line plot mooring''s depths'); + hToolsLineDepthNonQC = uimenu(hToolsLineDepth, 'label', 'all data'); + hToolsLineDepthQC = uimenu(hToolsLineDepth, 'label', 'only good and non QC''d data'); + hToolsLineCommonVar = uimenu(hToolsMenu, 'label', 'Line plot mooring''s 1D variables'); + hToolsLineCommonVarNonQC = uimenu(hToolsLineCommonVar, 'label', 'all data'); + hToolsLineCommonVarQC = uimenu(hToolsLineCommonVar, 'label', 'only good and non QC''d data'); + hToolsScatterCommonVar = uimenu(hToolsMenu, 'label', 'Scatter plot mooring''s 1D variables VS depth'); + hToolsScatterCommonVarNonQC = uimenu(hToolsScatterCommonVar, 'label', 'all data'); + hToolsScatterCommonVarQC = uimenu(hToolsScatterCommonVar, 'label', 'only good and non QC''d data'); + hToolsScatter2DCommonVar = uimenu(hToolsMenu, 'label', 'Scatter plot mooring''s 2D variables VS depth'); + hToolsScatter2DCommonVarNonQC = uimenu(hToolsScatter2DCommonVar, 'label', 'all data'); + hToolsScatter2DCommonVarQC = uimenu(hToolsScatter2DCommonVar, 'label', 'only good and non QC''d data'); - % update other 1D axis yLim / yTick to reflect the - % change in the Y range of displayed data - if ~isempty(graphs1D) - sam = getSelectedData(); - hTickBoxes = get(varPanel, 'UserData'); - - qcSet = str2double(readProperty('toolbox.qc_set')); - rawFlag = imosQCFlag('raw', qcSet, 'flag'); - goodFlag = imosQCFlag('good', qcSet, 'flag'); - pGoodFlag = imosQCFlag('probablyGood', qcSet, 'flag'); - okFlags = [rawFlag goodFlag pGoodFlag]; - - for i=1:length(graphs1D) - userData = get(graphs1D(i), 'UserData'); - hData = userData{1}; - iTickBox = userData{2}; % index into currently ticked boxes - iAllTickedBox = find(cell2mat(get(hTickBoxes, 'Value')) == 1); - - varName = get(hTickBoxes(iAllTickedBox(iTickBox)), 'String'); - iVar = getVar(sam.variables, varName); - flags = sam.variables{iVar}.flags; - iGood = ismember(flags, okFlags); - - xData = get(hData, 'XData'); - yData = get(hData, 'YData'); - - xData(~iGood) = []; - yData(~iGood) = []; - - iDataIn = xData >= xLimits(1) & xData <= xLimits(2); - yLimits = [min(yData(iDataIn)), max(yData(iDataIn))]; - set(graphs1D(i), 'YLim', yLimits); - - yStep = (yLimits(2) - yLimits(1)) / 5; - yTicks = yLimits(1):yStep:yLimits(2); - - set(graphs1D(i), 'YTick', yTicks); - end - end + %set menu callbacks + set(hToolsCheckPlannedDepthsNonQC, 'callBack', {@displayCheckPlannedDepths, false}); + set(hToolsCheckPlannedDepthsQC, 'callBack', {@displayCheckPlannedDepths, true}); + set(hToolsCheckPressDiffsNonQC, 'callBack', {@displayCheckPressDiffs, false}); + set(hToolsCheckPressDiffsQC, 'callBack', {@displayCheckPressDiffs, true}); + set(hToolsLineDepthNonQC, 'callBack', {@displayLineMooringDepth, false}); + set(hToolsLineDepthQC, 'callBack', {@displayLineMooringDepth, true}); + set(hToolsLineCommonVarNonQC, 'callBack', {@displayLineMooringVar, false}); + set(hToolsLineCommonVarQC, 'callBack', {@displayLineMooringVar, true}); + set(hToolsScatterCommonVarNonQC, 'callBack', {@displayScatterMooringVar, false, true}); + set(hToolsScatterCommonVarQC, 'callBack', {@displayScatterMooringVar, true, true}); + set(hToolsScatter2DCommonVarNonQC, 'callBack', {@displayScatterMooringVar, false, false}); + set(hToolsScatter2DCommonVarQC, 'callBack', {@displayScatterMooringVar, true, false}); + case 'profile' + hToolsLineCastVar = uimenu(hToolsMenu, 'label', 'Line plot profile variables'); + hToolsLineCastVarNonQC = uimenu(hToolsLineCastVar, 'label', 'all data'); + hToolsLineCastVarQC = uimenu(hToolsLineCastVar, 'label', 'only good and non QC''d data'); - % tranformation of datenum xticks in datestr - datetick(gca, 'x', 'dd-mm-yy HH:MM', 'keepticks'); - xTickLabel = get(gca, 'XTickLabel'); - for i=1:length(graphs) - set(graphs(i), 'XTickLabel', xTickLabel); % this is to avoid too many calls to datetick() - end + %set menu callbacks + set(hToolsLineCastVarNonQC, 'callBack', {@displayLineCastVar, false}); + set(hToolsLineCastVarQC, 'callBack', {@displayLineCastVar, true}); +end +hHotKeyMenu = uimenu(fig, 'label', 'Hot Keys'); +uimenu(hHotKeyMenu, 'Label', 'Enable zoom', 'Accelerator', 'z', 'Callback', @(src,evt)zoom(fig, 'on')); +uimenu(hHotKeyMenu, 'Label', 'Enable pan', 'Accelerator', 'a', 'Callback', @(src,evt)pan( fig, 'on')); +uimenu(hHotKeyMenu, 'Label', 'Disable zoom/pan', 'Accelerator', 'q', 'Callback', @disableZoomAndPan); + +hHelpMenu = uimenu(fig, 'label', 'Help'); +hHelpWiki = uimenu(hHelpMenu, 'label', 'IMOS Toolbox Wiki'); + +%set menu callbacks +set(hHelpWiki, 'callBack', @openWikiPage); + +%% Widget Callbacks + + function selectionChange(event) + %Retrieves the current selection, clears the main panel, and calls + % selectionCallback. + % + state = currentState; + sam = getSelectedData(); + vars = getSelectedVars(); + graph = getSelectedGraphType(); + + % clear main panel + children = get(mainPanel, 'Children'); + delete(children); - elseif strcmpi(graphName, 'DepthProfile') - % sync all other Y axis - set(graphs, 'YLim', yLimits); - set(graphs, 'YTick', yTicks); + % delete any mouse listeners that may have been added + zoom off; + pan off; + set(fig, 'WindowButtonDownFcn', []); + set(fig, 'WindowButtonMotionFcn', []); + set(fig, 'WindowButtonUpFcn', []); + + currentState = selectionCallback(... + event,... + mainPanel, ... + @updateCallback, ... + state, ... + sample_data, ... + graph, ... + sam.meta.index, vars); + + % set data cursor mode custom display + dcm_obj = datacursormode(fig); + set(dcm_obj, 'UpdateFcn', {@customDcm, sam, vars, graph, mode}); end - end - %% Menu callback - function displayCheckPressDiffs(source,ev, isQC) - %DISPLAYLINEPRESSDIFFS opens a new window where all the PRES/PRES_REL - %values for instruments adjacent to the current instrument are - %displayed with the differences between these instrument pressures - % - %check for pressure - iSampleMenu = get(sampleMenu, 'Value'); - iPRES_REL = getVar(sample_data{iSampleMenu}.variables, 'PRES_REL'); - iPRES = getVar(sample_data{iSampleMenu}.variables, 'PRES'); - if iPRES_REL == 0 && iPRES == 0 - sampleMenuStrings = get(sampleMenu, 'String'); - disp(['No pressure data for ' sampleMenuStrings{iSampleMenu}]) - return - end + function sampleMenuCallback(source, ev) + %SAMPLEMENUCALLBACK Called when a dataset is selected from the sample + % menu. Updates the variables panel, then delegates to selectionChange. + % + sam = getSelectedData(); - checkMooringPresDiffs(sample_data, iSampleMenu, isQC, false, ''); - end - - function displayCheckPlannedDepths(source,ev, isQC) - %DISPLAYCHECKPLANNEDDEPTHS Opens a new window where the actual - %depths recorded are compared to the planned depths. - % - checkMooringPlannedDepths(sample_data, isQC, false, ''); - end - - function displayLineMooringDepth(source,ev, isQC) - %DISPLAYLINEMOORINGDEPTH Opens a new window where all the nominal depths and - %actual/computed depths from intruments on the mooring are line-plotted. - % - - lineMooring1DVar(sample_data, 'DEPTH', isQC, false, ''); - - end - - function displayLineMooringVar(source,ev, isQC) - %DISPLAYLINEMOORINGVAR Opens a new window where all the previously selected - % variables collected by intruments on the mooring are line-plotted. - % - stringQC = 'non QC'; - if isQC, stringQC = 'QC'; end - - lenSampleData = length(sample_data); - paramsName = {}; - paramsCount = []; - paramsName{1} = 'diff(TIME)'; - paramsCount(1) = lenSampleData; - % get all params that are in common in at least two datasets - for i=1:lenSampleData - lenParamsSample = length(sample_data{i}.variables); - for j=1:lenParamsSample - sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); - if ~any(sameParam) - paramsName{end+1} = sample_data{i}.variables{j}.name; - paramsCount(end+1) = 1; - else - paramsCount(sameParam) = paramsCount(sameParam)+1; + % keep track of previously selected variables + iTickBox = getSelectedVars(); + nTickBoxed = length(iTickBox); + selectedVarNames = cell(1, nTickBoxed); + tickBoxes = get(varPanel, 'UserData'); + for i=1:nTickBoxed + selectedVarNames{i} = get(tickBoxes(iTickBox(i)), 'String'); + end + + % reset the varPanel + newVars = []; + createVarPanel(sam, []); + + % we want to be able to keep the selected variables from one dataset to another if possible + newTickBoxes = get(varPanel, 'UserData'); + for j=1:length(newTickBoxes) + varName = get(newTickBoxes(j), 'String'); + if any(strcmp(varName, selectedVarNames)) + newVars = [newVars j]; end end + + if ~isempty(newVars), createVarPanel(sam, newVars); end + selectionChange('set'); end - iParamsToGetRid = (paramsCount == 1); - paramsName(iParamsToGetRid) = []; - - % we get rid of DEPTH parameter, if necessary user should use the - % Depth specific plot - iDEPTH = strcmpi(paramsName, 'DEPTH'); - paramsName(iDEPTH) = []; - - % we get rid of TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE and NOMINAL_DEPTH parameters - iParam = strcmpi(paramsName, 'TIMESERIES'); - paramsName(iParam) = []; - iParam = strcmpi(paramsName, 'PROFILE'); - paramsName(iParam) = []; - iParam = strcmpi(paramsName, 'TRAJECTORY'); - paramsName(iParam) = []; - iParam = strcmpi(paramsName, 'LATITUDE'); - paramsName(iParam) = []; - iParam = strcmpi(paramsName, 'LONGITUDE'); - paramsName(iParam) = []; - iParam = strcmpi(paramsName, 'NOMINAL_DEPTH'); - paramsName(iParam) = []; - - % by default diff(TIME) is selected - iDiffTIME = find(strcmpi(paramsName, 'diff(TIME)')); - - [iSelection, ok] = listdlg(... - 'ListString', paramsName, ... - 'SelectionMode', 'single', ... - 'ListSize', [150 150], ... - 'InitialValue', iDiffTIME, ... - 'Name', ['Plot a ' stringQC '''d variable accross all instruments in the mooring'], ... - 'PromptString', 'Select a variable :'); - - if ok==0 - return; - else - varName = paramsName{iSelection}; + function graphMenuCallback(source, ev) + %GRAPHMENUCALLBACK Called when the user changes the graph type via the + % graph selection menu. Delegates to selectionChange. + % + selectionChange('graph'); end - lineMooring1DVar(sample_data, varName, isQC, false, ''); + function stateButtonCallback(source, ev) + %STATEBUTTONCALLBACK Called when the user pushes a state button. Updates + % the current state, then delegates to selectionChange. + % + currentState = get(source, 'String'); + selectionChange('state'); + + % reset varPanel + sam = getSelectedData(); + vars = getSelectedVars(); + createVarPanel(sam, vars); + end - end + function graphButtonCallback(source, ev) + %GRAPHBUTTONCALLBACK Called when the user pushes the 'Save Graph' button. + % Prompts the user to save the current graph. + + % find all axes objects on the main panel + ax = findobj(mainPanel, 'Type', 'axes'); + + % save the axes + saveGraph(fig, ax); + end -function disableZoomAndPan(source, ev) - pan(fig, 'off'); - zoom(fig, 'off'); -end + function varPanelCallback(source, ev) + %PARAMPANELCALLBACK Called when the variable or dimension selection + % changes. Delegates to selectionChange. + % + selectionChange('var'); + end -function displayLineCastVar(source,ev, isQC) - %DISPLAYLINECASTVAR Opens a new window where all the - % variables collected by the CTD cast are line-plotted. - % + function zoomPostCallback(source, ev) + %ZOOMPOSTCALLBACK Called when the zoom function is called. Redraws axis ticks. + % + graphs1D = findobj('Tag', 'axis1D'); + graphs2D = findobj('Tag', 'axis2D'); - % get all params names - lenSampleData = length(sample_data); - paramsName = {}; - for i=1:lenSampleData - lenParamsSample = length(sample_data{i}.variables); - for j=1:lenParamsSample - isParamQC = any(sample_data{i}.variables{j}.flags == 1) || any(sample_data{i}.variables{j}.flags == 2); - if i==1 && j==1 - paramsName{1} = sample_data{1}.variables{1}.name; - else - sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); - if ~any(sameParam) - paramsName{end+1} = sample_data{i}.variables{j}.name; + isCurAx1D = false; + iGraph1D = (gca == graphs1D); + if any(iGraph1D) + isCurAx1D = true; + graphs1D(iGraph1D) = []; + else + graphs2D(gca == graphs2D) = []; + end + + graphs = [graphs1D; graphs2D]; + + % reset current axis yTicks + yLimits = get(gca, 'YLim'); + yStep = (yLimits(2) - yLimits(1)) / 5; + yTicks = yLimits(1):yStep:yLimits(2); + set(gca, 'YTick', yTicks); + + % sync all other 2D Y axis if needed + if ~isCurAx1D && ~isempty(graphs2D) + set(graphs2D, 'YLim', yLimits); + set(graphs2D, 'YTick', yTicks); + end + + % reset current axis xTicks + xLimits = get(gca, 'XLim'); + xStep = (xLimits(2) - xLimits(1)) / 5; + xTicks = xLimits(1):xStep:xLimits(2); + set(gca, 'XTick', xTicks); + + graphName = get(graphMenu, 'String'); + graphName = graphName{get(graphMenu, 'Value')}; + if strcmpi(graphName, 'TimeSeries') + % sync all other X axis + set(graphs, 'XLim', xLimits); + set(graphs, 'XTick', xTicks); + + % update other 1D axis yLim / yTick to reflect the + % change in the Y range of displayed data + if ~isempty(graphs1D) + sam = getSelectedData(); + hTickBoxes = get(varPanel, 'UserData'); + + qcSet = str2double(readProperty('toolbox.qc_set')); + rawFlag = imosQCFlag('raw', qcSet, 'flag'); + goodFlag = imosQCFlag('good', qcSet, 'flag'); + pGoodFlag = imosQCFlag('probablyGood', qcSet, 'flag'); + okFlags = [rawFlag goodFlag pGoodFlag]; + + for i=1:length(graphs1D) + userData = get(graphs1D(i), 'UserData'); + hData = userData{1}; + iTickBox = userData{2}; % index into currently ticked boxes + iAllTickedBox = find(cell2mat(get(hTickBoxes, 'Value')) == 1); + + varName = get(hTickBoxes(iAllTickedBox(iTickBox)), 'String'); + iVar = getVar(sam.variables, varName); + flags = sam.variables{iVar}.flags; + iGood = ismember(flags, okFlags); + + xData = get(hData, 'XData'); + yData = get(hData, 'YData'); + + xData(~iGood) = []; + yData(~iGood) = []; + + iDataIn = xData >= xLimits(1) & xData <= xLimits(2); + yLimits = [min(yData(iDataIn)), max(yData(iDataIn))]; + set(graphs1D(i), 'YLim', yLimits); + + yStep = (yLimits(2) - yLimits(1)) / 5; + yTicks = yLimits(1):yStep:yLimits(2); + + set(graphs1D(i), 'YTick', yTicks); end end - % get rid of non QC'd params if only interested in QC - if isQC && ~isParamQC; paramsName(end) = []; end + + % tranformation of datenum xticks in datestr + datetick(gca, 'x', 'dd-mm-yy HH:MM', 'keepticks'); + xTickLabel = get(gca, 'XTickLabel'); + for i=1:length(graphs) + set(graphs(i), 'XTickLabel', xTickLabel); % this is to avoid too many calls to datetick() + end + + elseif strcmpi(graphName, 'DepthProfile') + % sync all other Y axis + set(graphs, 'YLim', yLimits); + set(graphs, 'YTick', yTicks); end end - lineCastVar(sample_data, paramsName, isQC, false, ''); +%% Menu callback + function displayCheckPressDiffs(source, ev, isQC) + %DISPLAYLINEPRESSDIFFS opens a new window where all the PRES/PRES_REL + %values for instruments adjacent to the current instrument are + %displayed with the differences between these instrument pressures + % + %check for pressure + iSampleMenu = get(sampleMenu, 'Value'); + iPRES_REL = getVar(sample_data{iSampleMenu}.variables, 'PRES_REL'); + iPRES = getVar(sample_data{iSampleMenu}.variables, 'PRES'); + if iPRES_REL == 0 && iPRES == 0 + sampleMenuStrings = get(sampleMenu, 'String'); + disp(['No pressure data for ' sampleMenuStrings{iSampleMenu}]) + return + end + + checkMooringPresDiffs(sample_data, iSampleMenu, isQC, false, ''); + end - end + function displayCheckPlannedDepths(source, ev, isQC) + %DISPLAYCHECKPLANNEDDEPTHS Opens a new window where the actual + %depths recorded are compared to the planned depths. + % + checkMooringPlannedDepths(sample_data, isQC, false, ''); + end -function displayScatterMooringVar(source,ev, isQC, is1D) - %DISPLAYSCATTERMOORINGVAR Opens a new window where all the previously selected - % variables collected by intruments on the mooring are scatter-plotted. - % - stringQC = 'non QC'; - if isQC, stringQC = 'QC'; end + function displayLineMooringDepth(source, ev, isQC) + %DISPLAYLINEMOORINGDEPTH Opens a new window where all the nominal depths and + %actual/computed depths from intruments on the mooring are line-plotted. + % + lineMooring1DVar(sample_data, 'DEPTH', isQC, false, ''); + + end - % go through all datasets and parameters and count them - lenSampleData = length(sample_data); - paramsName = {}; - paramsCount = []; - params2D = []; - for i=1:lenSampleData - lenParamsSample = length(sample_data{i}.variables); - for j=1:lenParamsSample - sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); - if ~any(sameParam) - paramsName{end+1} = sample_data{i}.variables{j}.name; - paramsCount(end+1) = 1; - if length(sample_data{i}.variables{j}.dimensions) == 2 && ... % TIME, HEIGHT_ABOVE_SENSOR - size(sample_data{i}.variables{j}.data, 2) > 1 && ... - size(sample_data{i}.variables{j}.data, 3) == 1 % we're only plotting ADCP 2D variables with DEPTH variable. - params2D(end+1) = true; + function displayLineMooringVar(source, ev, isQC) + %DISPLAYLINEMOORINGVAR Opens a new window where all the previously selected + % variables collected by intruments on the mooring are line-plotted. + % + stringQC = 'non QC'; + if isQC, stringQC = 'QC'; end + + lenSampleData = length(sample_data); + paramsName = {}; + paramsCount = []; + paramsName{1} = 'diff(TIME)'; + paramsCount(1) = lenSampleData; + % get all params that are in common in at least two datasets + for i=1:lenSampleData + lenParamsSample = length(sample_data{i}.variables); + for j=1:lenParamsSample + sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); + if ~any(sameParam) + paramsName{end+1} = sample_data{i}.variables{j}.name; + paramsCount(end+1) = 1; else - params2D(end+1) = false; + paramsCount(sameParam) = paramsCount(sameParam)+1; end - else - paramsCount(sameParam) = paramsCount(sameParam)+1; end end - end - - if is1D - % get only params that are in common in at least two datasets - iParamsNotInCommon = (paramsCount == 1); - % get only params that are 1D - iParamsToGetRid = params2D | iParamsNotInCommon; + iParamsToGetRid = (paramsCount == 1); paramsName(iParamsToGetRid) = []; - % we get rid of DEPTH, PRES and PRES_REL parameters - iDEPTH = strcmpi('DEPTH', paramsName); + % we get rid of DEPTH parameter, if necessary user should use the + % Depth specific plot + iDEPTH = strcmpi(paramsName, 'DEPTH'); paramsName(iDEPTH) = []; - iDEPTH = strcmpi('PRES', paramsName); - paramsName(iDEPTH) = []; - iDEPTH = strcmpi('PRES_REL', paramsName); - paramsName(iDEPTH) = []; - + % we get rid of TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE and NOMINAL_DEPTH parameters iParam = strcmpi(paramsName, 'TIMESERIES'); paramsName(iParam) = []; @@ -737,209 +586,314 @@ function displayScatterMooringVar(source,ev, isQC, is1D) iParam = strcmpi(paramsName, 'NOMINAL_DEPTH'); paramsName(iParam) = []; - % by default TEMP is selected - iDefault = find(strcmpi(paramsName, 'TEMP')); - else - % get only params that are 2D - paramsName(~params2D) = []; + % by default diff(TIME) is selected + iDiffTIME = find(strcmpi(paramsName, 'diff(TIME)')); - % we get rid of DEPTH, PRES and PRES_REL parameters - iDEPTH = strcmpi('DEPTH', paramsName); - paramsName(iDEPTH) = []; - iDEPTH = strcmpi('PRES', paramsName); - paramsName(iDEPTH) = []; - iDEPTH = strcmpi('PRES_REL', paramsName); - paramsName(iDEPTH) = []; + [iSelection, ok] = listdlg(... + 'ListString', paramsName, ... + 'SelectionMode', 'single', ... + 'ListSize', [150 150], ... + 'InitialValue', iDiffTIME, ... + 'Name', ['Plot a ' stringQC '''d variable accross all instruments in the mooring'], ... + 'PromptString', 'Select a variable :'); - % we get rid of HEIGHT parameter - iHEIGHT = strcmpi('HEIGHT', paramsName); - paramsName(iHEIGHT) = []; - - % we get rid of ADCP diagnostic parameters - for i=1:4 - iStr = num2str(i); - iABSI = strcmpi(['ABSI' iStr], paramsName); - paramsName(iABSI) = []; - iABSIC = strcmpi(['ABSIC' iStr], paramsName); - paramsName(iABSIC) = []; - iCORR = strcmpi(['CMAG' iStr], paramsName); - paramsName(iCORR) = []; - iPERG = strcmpi(['PERG' iStr], paramsName); - paramsName(iPERG) = []; + if ok==0 + return; + else + varName = paramsName{iSelection}; end - - % by default CDIR is selected - iDefault = find(strcmpi(paramsName, 'CDIR')); + + lineMooring1DVar(sample_data, varName, isQC, false, ''); + end - if isempty(iDefault), iDefault = 1; end - - [iSelection, ok] = listdlg(... - 'ListString', paramsName, ... - 'SelectionMode', 'single', ... - 'ListSize', [150 150], ... - 'InitialValue', iDefault, ... - 'Name', ['Plot a ' stringQC '''d variable accross all instruments in the mooring'], ... - 'PromptString', 'Select a variable :'); - - if ok==0 - return; - else - varName = paramsName{iSelection}; + function disableZoomAndPan(source, ev) + pan( fig, 'off'); + zoom(fig, 'off'); end - if is1D - scatterMooring1DVarAgainstDepth(sample_data, varName, isQC, false, ''); - else - scatterMooring2DVarAgainstDepth(sample_data, varName, isQC, false, ''); + function displayLineCastVar(source, ev, isQC) + %DISPLAYLINECASTVAR Opens a new window where all the + % variables collected by the CTD cast are line-plotted. + % + + % get all params names + lenSampleData = length(sample_data); + paramsName = {}; + for i=1:lenSampleData + lenParamsSample = length(sample_data{i}.variables); + for j=1:lenParamsSample + isParamQC = any(sample_data{i}.variables{j}.flags == 1) || any(sample_data{i}.variables{j}.flags == 2); + if i==1 && j==1 + paramsName{1} = sample_data{1}.variables{1}.name; + else + sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); + if ~any(sameParam) + paramsName{end+1} = sample_data{i}.variables{j}.name; + end + end + % get rid of non QC'd params if only interested in QC + if isQC && ~isParamQC; paramsName(end) = []; end + end + end + lineCastVar(sample_data, paramsName, isQC, false, ''); end -end + function displayScatterMooringVar(source, ev, isQC, is1D) + %DISPLAYSCATTERMOORINGVAR Opens a new window where all the previously selected + % variables collected by intruments on the mooring are scatter-plotted. + % + stringQC = 'non QC'; + if isQC, stringQC = 'QC'; end + + % go through all datasets and parameters and count them + lenSampleData = length(sample_data); + paramsName = {}; + paramsCount = []; + params2D = []; + for i=1:lenSampleData + lenParamsSample = length(sample_data{i}.variables); + for j=1:lenParamsSample + sameParam = strcmpi(paramsName, sample_data{i}.variables{j}.name); + if ~any(sameParam) + paramsName{end+1} = sample_data{i}.variables{j}.name; + paramsCount(end+1) = 1; + if length(sample_data{i}.variables{j}.dimensions) == 2 && ... % TIME, HEIGHT_ABOVE_SENSOR + size(sample_data{i}.variables{j}.data, 2) > 1 && ... + size(sample_data{i}.variables{j}.data, 3) == 1 % we're only plotting ADCP 2D variables with DEPTH variable. + params2D(end+1) = true; + else + params2D(end+1) = false; + end + else + paramsCount(sameParam) = paramsCount(sameParam)+1; + end + end + end + + if is1D + % get only params that are in common in at least two datasets + iParamsNotInCommon = (paramsCount == 1); + % get only params that are 1D + iParamsToGetRid = params2D | iParamsNotInCommon; + + paramsName(iParamsToGetRid) = []; + + % we get rid of DEPTH, PRES and PRES_REL parameters + iDEPTH = strcmpi('DEPTH', paramsName); + paramsName(iDEPTH) = []; + iDEPTH = strcmpi('PRES', paramsName); + paramsName(iDEPTH) = []; + iDEPTH = strcmpi('PRES_REL', paramsName); + paramsName(iDEPTH) = []; + + % we get rid of TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE and NOMINAL_DEPTH parameters + iParam = strcmpi(paramsName, 'TIMESERIES'); + paramsName(iParam) = []; + iParam = strcmpi(paramsName, 'PROFILE'); + paramsName(iParam) = []; + iParam = strcmpi(paramsName, 'TRAJECTORY'); + paramsName(iParam) = []; + iParam = strcmpi(paramsName, 'LATITUDE'); + paramsName(iParam) = []; + iParam = strcmpi(paramsName, 'LONGITUDE'); + paramsName(iParam) = []; + iParam = strcmpi(paramsName, 'NOMINAL_DEPTH'); + paramsName(iParam) = []; + + % by default TEMP is selected + iDefault = find(strcmpi(paramsName, 'TEMP')); + else + % get only params that are 2D + paramsName(~params2D) = []; + + % we get rid of DEPTH, PRES and PRES_REL parameters + iDEPTH = strcmpi('DEPTH', paramsName); + paramsName(iDEPTH) = []; + iDEPTH = strcmpi('PRES', paramsName); + paramsName(iDEPTH) = []; + iDEPTH = strcmpi('PRES_REL', paramsName); + paramsName(iDEPTH) = []; + + % we get rid of HEIGHT parameter + iHEIGHT = strcmpi('HEIGHT', paramsName); + paramsName(iHEIGHT) = []; + + % we get rid of ADCP diagnostic parameters + for i=1:4 + iStr = num2str(i); + iABSI = strcmpi(['ABSI' iStr], paramsName); + paramsName(iABSI) = []; + iABSIC = strcmpi(['ABSIC' iStr], paramsName); + paramsName(iABSIC) = []; + iCORR = strcmpi(['CMAG' iStr], paramsName); + paramsName(iCORR) = []; + iPERG = strcmpi(['PERG' iStr], paramsName); + paramsName(iPERG) = []; + end + + % by default CDIR is selected + iDefault = find(strcmpi(paramsName, 'CDIR')); + end + + if isempty(iDefault), iDefault = 1; end + + [iSelection, ok] = listdlg(... + 'ListString', paramsName, ... + 'SelectionMode', 'single', ... + 'ListSize', [150 150], ... + 'InitialValue', iDefault, ... + 'Name', ['Plot a ' stringQC '''d variable accross all instruments in the mooring'], ... + 'PromptString', 'Select a variable :'); + + if ok==0 + return; + else + varName = paramsName{iSelection}; + end + + if is1D + scatterMooring1DVarAgainstDepth(sample_data, varName, isQC, false, ''); + else + scatterMooring2DVarAgainstDepth(sample_data, varName, isQC, false, ''); + end + + end - function openWikiPage(source,ev) - %OPENWIKIPAGE opens a new tab in your web-browser to access the - %IMOS-Toolbox wiki - % - url = 'https://github.com/aodn/imos-toolbox/wiki'; - stat = web(url, '-browser'); - if stat == 1 - fprintf('%s\n', 'Warning : Browser was not found.'); - elseif stat == 2 - fprintf('%s\n', 'Warning : Browser was found but could not be launched.'); + function openWikiPage(source, ev) + %OPENWIKIPAGE opens a new tab in your web-browser to access the + %IMOS-Toolbox wiki + % + url = 'https://github.com/aodn/imos-toolbox/wiki'; + stat = web(url, '-browser'); + if stat == 1 + fprintf('%s\n', 'Warning : Browser was not found.'); + elseif stat == 2 + fprintf('%s\n', 'Warning : Browser was found but could not be launched.'); + end end - end - %% Data update callback - - function updateCallback(sam) - %UPDATECALLBACK Called when a data set has been modified. Saves the new - % copy of the data set. - % - narginchk(1,1); - if ~isstruct(sam), error('sam must be a struct'); end - if ~isfield(sam.meta, 'index'), error('sam must have an index field'); end - - % synchronise current data sets and sample_data - sample_data{sam.meta.index} = sam; - lenSam = length(sample_data); - - % regenerate descriptions - sampleDataDescs = cell(lenSam, 1); - for k = 1:lenSam - sampleDataDescs{k} = genSampleDataDesc(sample_data{k}); +%% Data update callback + + function updateCallback(sam) + %UPDATECALLBACK Called when a data set has been modified. Saves the new + % copy of the data set. + % + narginchk(1,1); + if ~isstruct(sam), error('sam must be a struct'); end + if ~isfield(sam.meta, 'index'), error('sam must have an index field'); end + + % synchronise current data sets and sample_data + sample_data{sam.meta.index} = sam; + lenSam = length(sample_data); + + % regenerate descriptions + sampleDataDescs = cell(lenSam, 1); + for i = 1:lenSam + sampleDataDescs{i} = genSampleDataDesc(sample_data{i}); + end + + set(sampleMenu, 'String', sampleDataDescs); + end - - set(sampleMenu, 'String', sampleDataDescs); - - end - %% Retrieving current selection +%% Retrieving current selection - function sam = getSelectedData() - %GETSELECTEDDATA Returns the currently selected sample_data. - % - idx = get(sampleMenu, 'Value'); - - sam = sample_data{idx}; - end + function sam = getSelectedData() + %GETSELECTEDDATA Returns the currently selected sample_data. + % + idx = get(sampleMenu, 'Value'); + + sam = sample_data{idx}; + end - function graphType = getSelectedGraphType() - %GETSELECTEDGRAPHTYPE Returns the currently selected graph type. - % - idx = get(graphMenu, 'Value'); - types = get(graphMenu, 'String'); - - graphType = types{idx}; - - end + function graphType = getSelectedGraphType() + %GETSELECTEDGRAPHTYPE Returns the currently selected graph type. + % + idx = get(graphMenu, 'Value'); + types = get(graphMenu, 'String'); + + graphType = types{idx}; + + end - function vars = getSelectedVars() - %GETSELECTEDVARS Returns a vector containing the indices of the - % variables which are selected. - % - - % menu and checkboxes are stored in user data - checkboxes = get(varPanel, 'UserData'); - - vars = []; - - for m = 1:length(checkboxes) - if get(checkboxes(m), 'Value'), vars(end+1) = m; end + function vars = getSelectedVars() + %GETSELECTEDVARS Returns a vector containing the indices of the + % variables which are selected. + % + + % menu and checkboxes are stored in user data + checkboxes = get(varPanel, 'UserData'); + + vars = []; + + for m = 1:length(checkboxes) + if get(checkboxes(m), 'Value'), vars(end+1) = m; end + end end - end - %% Miscellaneous - - function createVarPanel(sam, vars) - %CREATEVARPANEL Creates the variable selection panel. Called when the - % selected dataset changes. The panel allows users to select which - % variables should be displayed. - % - % delete checkboxes and dim menu from previous data set - checkboxes = get(varPanel, 'Children'); - for m = 1:length(checkboxes), delete(checkboxes(m)); end - - switch mode - case 'profile' - % we don't want to plot TIME, PROFILE, DIRECTION, LATITUDE, LONGITUDE, BOT_DEPTH - p = getVar(sam.variables, 'BOT_DEPTH'); +%% Miscellaneous + + function createVarPanel(sam, vars) + %CREATEVARPANEL Creates the variable selection panel. Called when the + % selected dataset changes. The panel allows users to select which + % variables should be displayed. + % + % delete checkboxes and dim menu from previous data set + checkboxes = get(varPanel, 'Children'); + for m = 1:length(checkboxes), delete(checkboxes(m)); end + + switch mode + case 'profile' + % we don't want to plot TIME, PROFILE, DIRECTION, LATITUDE, LONGITUDE, BOT_DEPTH + p = getVar(sam.variables, 'BOT_DEPTH'); - % we don't want to plot DEPTH if it's a variable - iDepth = getVar(sam.variables, 'DEPTH'); - if iDepth ~= 0 - sam.variables(iDepth) = []; - end - case 'timeSeries' - % we don't want to plot TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE, NOMINAL_DEPTH - p = getVar(sam.variables, 'NOMINAL_DEPTH'); - end + % we don't want to plot DEPTH if it's a variable + iDepth = getVar(sam.variables, 'DEPTH'); + if iDepth ~= 0 + sam.variables(iDepth) = []; + end + case 'timeSeries' + % we don't want to plot TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE, NOMINAL_DEPTH + p = getVar(sam.variables, 'NOMINAL_DEPTH'); + end - % create checkboxes for new data set. The order in which the checkboxes - % are created is the same as the order of the variables - this is - % important, as the getSelectedParams function assumes that the indices - % line up. - checkboxes(:) = []; - n = length(sam.variables); - for m = 1+p:n - if isempty(vars) - % enable at most 3 variables initially, - % otherwise the graph will be cluttered - val = 1; - if m-p > 3, val = 0; end - else - if any(m-p == vars) + % create checkboxes for new data set. The order in which the checkboxes + % are created is the same as the order of the variables - this is + % important, as the getSelectedParams function assumes that the indices + % line up. + checkboxes(:) = []; + n = length(sam.variables); + for m = 1+p:n + if isempty(vars) + % enable at most 3 variables initially, + % otherwise the graph will be cluttered val = 1; + if m-p > 3, val = 0; end else - val = 0; + if any(m-p == vars) + val = 1; + else + val = 0; + end end + + checkboxes(m-p) = uicontrol(... + 'Parent', varPanel,... + 'Style', 'checkbox',... + 'String', sam.variables{m}.name,... + 'TooltipString', sprintf('%s\n(%s)', sam.variables{m}.long_name, sam.variables{m}.units),... + 'Value', val,... + 'Callback', @varPanelCallback,... + 'Units', 'normalized',... + 'Position', posUi2(varPanel, n-p, 1, m-p, 1, 0),... + 'Tag', ['checkbox' sam.variables{m}.name]); end - -% checkboxes(m) = uicontrol(... -% 'Parent', varPanel,... -% 'Style', 'checkbox',... -% 'String', sam.variables{m}.name,... -% 'Value', val,... -% 'Callback', @varPanelCallback,... -% 'Units', 'normalized',... -% 'Position', [0.0, (n-m)/n, 1.0, 1/n]); - checkboxes(m-p) = uicontrol(... - 'Parent', varPanel,... - 'Style', 'checkbox',... - 'String', sam.variables{m}.name,... - 'TooltipString', sprintf('%s\n(%s)', sam.variables{m}.long_name, sam.variables{m}.units),... - 'Value', val,... - 'Callback', @varPanelCallback,... - 'Units', 'normalized',... - 'Position', posUi2(varPanel, n-p, 1, m-p, 1, 0),... - 'Tag', ['checkbox' sam.variables{m}.name]); + % the checkboxes are saved in UserData field to make them + % easy to retrieve in the getSelectedVars function + set(varPanel, 'UserData', checkboxes); end -% set(checkboxes, 'Units', 'pixels'); - - % the checkboxes are saved in UserData field to make them - % easy to retrieve in the getSelectedVars function - set(varPanel, 'UserData', checkboxes); - end function txt = customDcm(~, event_obj, sam, vars, graph, mode) % Customizes text of data tips @@ -947,21 +901,20 @@ function createVarPanel(sam, vars) case 'profile' % we don't want to plot TIME, PROFILE, DIRECTION, LATITUDE, LONGITUDE, BOT_DEPTH varOffset = getVar(sam.variables, 'BOT_DEPTH'); - dimLabel = 'DEPTH'; - dimUnit = ' m'; - dimFun = @num2str; + dimLabel = 'DEPTH'; + dimUnit = ' m'; + dimFun = @num2str; case 'timeSeries' % we don't want to plot TIMESERIES, PROFILE, TRAJECTORY, LATITUDE, LONGITUDE, NOMINAL_DEPTH varOffset = getVar(sam.variables, 'NOMINAL_DEPTH'); - dimLabel = 'TIME'; - dimUnit = ' UTC'; - dimFun = @datestr; + dimLabel = 'TIME'; + dimUnit = ' UTC'; + dimFun = @datestr; end - % retrieve x/y click positions + data index + % retrieve x/y click positions posClic = get(event_obj, 'Position'); - I = get(event_obj, 'DataIndex'); iDim = getVar(sam.dimensions, dimLabel); nRecord = length(sam.dimensions{iDim}.data); From 1d6fbdc4f977d548453179b0dd1ff3bd1fb20f7f Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Thu, 20 Jul 2017 14:41:10 +1000 Subject: [PATCH 05/12] Modified main window GUI to be able to graph an extra instrument (black) on top of the currently graphed one (blue). This works in timeSeries or profile mode for TimeSeries and XvY graph types on 1D variables, and for DepthProfile graph type for both 1D and 2D variables. --- FlowManager/displayManager.m | 26 ++++--- GUI/mainWindow.m | 83 +++++++++++++++++----- Graph/graphDepthProfile.m | 131 +++++++++++++++++++++++------------ Graph/graphTimeSeries.m | 91 +++++++++++++++--------- Graph/graphTransect.m | 15 ++-- Graph/graphXvY.m | 55 ++++++++++++--- 6 files changed, 281 insertions(+), 120 deletions(-) diff --git a/FlowManager/displayManager.m b/FlowManager/displayManager.m index 63b0055f2..2d5d2a051 100644 --- a/FlowManager/displayManager.m +++ b/FlowManager/displayManager.m @@ -111,7 +111,6 @@ function displayManager(windowTitle, sample_data, callbacks) end lastState = ''; - lastSetIdx = []; qcSet = str2double(readProperty('toolbox.qc_set')); badFlag = imosQCFlag('bad', qcSet, 'flag'); @@ -125,7 +124,7 @@ function displayManager(windowTitle, sample_data, callbacks) mainWindow(windowTitle, sample_data, states, 3, @stateSelectCallback); function state = stateSelectCallback(event,... - panel, updateCallback, state, sample_data, graphType, setIdx, vars) + panel, updateCallback, state, sample_data, graphType, setIdx, vars, extraSetIdx) %STATESELECTCALLBACK Called when the user interacts with the main % window, by changing the state, the selected data set, the selected % variables or the selected graph type. @@ -139,6 +138,7 @@ function displayManager(windowTitle, sample_data, callbacks) % graphType - currently selected graph type (string). % setIdx - currently selected sample_data struct (index) % vars - currently selected variables (indices). + % extraSetIdx - currently selected extra sample_data struct (index) % % Outputs: % state - If a state change was forced, tells the main window @@ -157,7 +157,6 @@ function displayManager(windowTitle, sample_data, callbacks) end lastState = state; - lastSetIdx = setIdx; function importCallback() %IMPORTCALLBACK Called when the user clicks the 'Import' button. Calls @@ -248,12 +247,18 @@ function rawDataCallback() nVar = length(sample_data{setIdx}.variables) - 3; end vars(vars > nVar) = []; + + if extraSetIdx + extra_sample_data = sample_data{extraSetIdx}; + else + extra_sample_data = []; + end % display selected raw data graphs = []; try graphFunc = getGraphFunc(graphType, 'graph', ''); - [graphs, lines, vars] = graphFunc(panel, sample_data{setIdx}, vars); + [graphs, lines, vars] = graphFunc(panel, sample_data{setIdx}, vars, extra_sample_data); catch e errorString = getErrorString(e); fprintf('%s\n', ['Error says : ' errorString]); @@ -268,7 +273,6 @@ function rawDataCallback() % so the data select callback can retrieve them if ~isempty(graphs) for k = 1:length(graphs) - set(graphs(k), 'UserData', {lines(k,:), k}); end end @@ -326,6 +330,12 @@ function qcDataCallback() for k = 1:length(sample_data), updateCallback(sample_data{k}); end end + + if extraSetIdx + extra_sample_data = sample_data{extraSetIdx}; + else + extra_sample_data = []; + end % redisplay the data try @@ -335,7 +345,7 @@ function qcDataCallback() flagFunc = []; end - [graphs, lines, vars] = graphFunc(panel, sample_data{setIdx}, vars); + [graphs, lines, vars] = graphFunc(panel, sample_data{setIdx}, vars, extra_sample_data); if isempty(flagFunc) warning(['Cannot display QC flags using ' graphType ... @@ -637,7 +647,7 @@ function exportNetCDFCallback() callbacks.exportNetCDFRequestCallback(); stateSelectCallback('', panel, updateCallback, lastState, ... - sample_data, graphType, setIdx, vars); + sample_data, graphType, setIdx, vars, extraSetIdx); state = lastState; end @@ -648,7 +658,7 @@ function exportRawCallback() callbacks.exportRawRequestCallback(); stateSelectCallback('', panel, updateCallback, lastState, ... - sample_data, graphType, setIdx, vars); + sample_data, graphType, setIdx, vars, extraSetIdx); state = lastState; end end diff --git a/GUI/mainWindow.m b/GUI/mainWindow.m index 2951c70e0..846c41852 100644 --- a/GUI/mainWindow.m +++ b/GUI/mainWindow.m @@ -135,6 +135,21 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb 'String', listGraphs(),... 'Value', graphMenuValue); +% extra instrument check box +extraSampleCb = uicontrol(... + 'Style', 'checkbox',... + 'String', 'Graph extra instrument (black)',... + 'Value', 0,... + 'Tag', 'extraSampleCheckBox'); + +% extra sample data selection menu +extraSampleMenu = uicontrol(... + 'Style', 'popupmenu',... + 'String', sampleDataDescs,... + 'Value', 1,... + 'Enable', 'off',... + 'Tag', 'extraSamplePopUpMenu'); + % side panel sidePanel = uipanel(... 'Parent', fig,... @@ -175,6 +190,8 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb set(graphButton, 'Units', 'normalized'); set(sampleMenu, 'Units', 'normalized'); set(graphMenu, 'Units', 'normalized'); +set(extraSampleCb, 'Units', 'normalized'); +set(extraSampleMenu, 'Units', 'normalized'); set(stateButtons, 'Units', 'normalized'); % set window position @@ -192,10 +209,12 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb set(fig, 'Units', 'normalized'); % set widget positions -set(sidePanel, 'Position', posUi2(fig, 100, 100, 6:100, 1:10, 0)); -set(mainPanel, 'Position', posUi2(fig, 100, 100, 6:100, 11:100, 0)); -set(sampleMenu, 'Position', posUi2(fig, 100, 100, 1:5, 1:75, 0)); -set(graphMenu, 'Position', posUi2(fig, 100, 100, 1:5, 76:100, 0)); +set(sidePanel, 'Position', posUi2(fig, 100, 100, 11:100, 1:10, 0)); +set(mainPanel, 'Position', posUi2(fig, 100, 100, 11:100, 11:100, 0)); +set(sampleMenu, 'Position', posUi2(fig, 100, 100, 1:5, 1:75, 0)); +set(graphMenu, 'Position', posUi2(fig, 100, 100, 1:5, 76:100, 0)); +set(extraSampleMenu, 'Position', posUi2(fig, 100, 100, 6:10, 1:75, 0)); +set(extraSampleCb, 'Position', posUi2(fig, 100, 100, 6:10, 76:100, 0)); % varPanel, graph and stateButtons are positioned relative to sidePanel set(varPanel, 'Position', posUi2(sidePanel, 10, 1, 6:10, 1, 0)); @@ -210,10 +229,12 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb % set callbacks - variable panel widget % callbacks are set in createParamPanel -set(sampleMenu, 'Callback', @sampleMenuCallback); -set(graphMenu, 'Callback', @graphMenuCallback); -set(stateButtons, 'Callback', @stateButtonCallback); -set(graphButton, 'Callback', @graphButtonCallback); +set(sampleMenu, 'Callback', @sampleMenuCallback); +set(graphMenu, 'Callback', @graphMenuCallback); +set(extraSampleCb, 'Callback', @sampleMenuCallback); +set(extraSampleMenu, 'Callback', @sampleMenuCallback); +set(stateButtons, 'Callback', @stateButtonCallback); +set(graphButton, 'Callback', @graphButtonCallback); set(fig, 'Visible', 'on'); createVarPanel(sample_data{1}, []); @@ -313,6 +334,12 @@ function selectionChange(event) vars = getSelectedVars(); graph = getSelectedGraphType(); + if get(extraSampleCb, 'value') + extraSam = getExtraSelectedData(); + else + extraSam.meta.index = 0; + end + % clear main panel children = get(mainPanel, 'Children'); delete(children); @@ -325,13 +352,15 @@ function selectionChange(event) set(fig, 'WindowButtonUpFcn', []); currentState = selectionCallback(... - event,... - mainPanel, ... - @updateCallback, ... - state, ... - sample_data, ... - graph, ... - sam.meta.index, vars); + event,... % string describing what triggered the callback. + mainPanel, ... % uipanel on which things can be drawn. + @updateCallback, ... % function to be called when data is modified. + state, ... % selected state (string). + sample_data, ... % cell array of sample_data structs + graph, ... % currently selected graph type (string). + sam.meta.index, ... % currently selected sample_data struct (index) + vars, ... % currently selected variables (indices). + extraSam.meta.index); % currently selected extra sample_data struct (index) % set data cursor mode custom display dcm_obj = datacursormode(fig); @@ -343,6 +372,11 @@ function sampleMenuCallback(source, ev) % menu. Updates the variables panel, then delegates to selectionChange. % sam = getSelectedData(); + if get(extraSampleCb, 'value') + set(extraSampleMenu, 'Enable', 'on'); + else + set(extraSampleMenu, 'Enable', 'off'); + end % keep track of previously selected variables iTickBox = getSelectedVars(); @@ -454,6 +488,7 @@ function zoomPostCallback(source, ev) % change in the Y range of displayed data if ~isempty(graphs1D) sam = getSelectedData(); + hTickBoxes = get(varPanel, 'UserData'); qcSet = str2double(readProperty('toolbox.qc_set')); @@ -464,7 +499,11 @@ function zoomPostCallback(source, ev) for i=1:length(graphs1D) userData = get(graphs1D(i), 'UserData'); + hData = userData{1}; + xData = get(hData, 'XData'); + yData = get(hData, 'YData'); + iTickBox = userData{2}; % index into currently ticked boxes iAllTickedBox = find(cell2mat(get(hTickBoxes, 'Value')) == 1); @@ -473,9 +512,6 @@ function zoomPostCallback(source, ev) flags = sam.variables{iVar}.flags; iGood = ismember(flags, okFlags); - xData = get(hData, 'XData'); - yData = get(hData, 'YData'); - xData(~iGood) = []; yData(~iGood) = []; @@ -793,7 +829,8 @@ function updateCallback(sam) sampleDataDescs{i} = genSampleDataDesc(sample_data{i}); end - set(sampleMenu, 'String', sampleDataDescs); + set(sampleMenu, 'String', sampleDataDescs); + set(extraSampleMenu, 'String', sampleDataDescs); end @@ -807,6 +844,14 @@ function updateCallback(sam) sam = sample_data{idx}; end + function sam = getExtraSelectedData() + %GETEXTRASELECTEDDATA Returns the currently selected extra sample_data. + % + idx = get(extraSampleMenu, 'Value'); + + sam = sample_data{idx}; + end + function graphType = getSelectedGraphType() %GETSELECTEDGRAPHTYPE Returns the currently selected graph type. % diff --git a/Graph/graphDepthProfile.m b/Graph/graphDepthProfile.m index bf0f36c73..d138162cb 100644 --- a/Graph/graphDepthProfile.m +++ b/Graph/graphDepthProfile.m @@ -1,4 +1,4 @@ -function [graphs, lines, vars] = graphDepthProfile( parent, sample_data, vars ) +function [graphs, lines, vars] = graphDepthProfile( parent, sample_data, vars, extra_sample_data ) %GRAPHDEPTHPROFILE Graphs the given data in a depth profile style using % subplots. % @@ -10,6 +10,7 @@ % parent - handle to the parent container. % sample_data - struct containing sample data. % vars - Indices of variables that should be graphed. +% extra_sample_data - struct containing extra sample data. % % Outputs: % graphs - A vector of handles to axes on which the data has @@ -52,11 +53,13 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % - narginchk(3,3); + narginchk(4,4); - if ~ishandle( parent), error('parent must be a handle'); end - if ~isstruct( sample_data), error('sample_data must be a struct'); end - if ~isnumeric(vars), error('vars must be a numeric'); end + if ~ishandle( parent), error('parent must be a handle'); end + if ~isstruct( sample_data), error('sample_data must be a struct'); end + if ~isnumeric(vars), error('vars must be a numeric'); end + if ~isstruct(extra_sample_data) && ... + ~isempty(extra_sample_data), error('extra_sample_data must be a struct or empty'); end graphs = []; lines = []; @@ -114,6 +117,18 @@ name = sample_data.variables{vars(k)}.name; + iExtraVar = 0; + if ~isempty(extra_sample_data) + iExtraVar = getVar(extra_sample_data.variables, name); + iExtraDepth = getVar(extra_sample_data.variables, 'DEPTH'); + if iExtraDepth == 0 + iExtraDepth = getVar(extra_sample_data.dimensions, 'DEPTH'); + extraDepth = extra_sample_data.dimensions{iExtraDepth}.data; + else + extraDepth = extra_sample_data.variables{iExtraDepth}.data; + end + end + % create the axes; the subplots are laid out horizontally graphs(k) = subplot(1, length(vars), k); @@ -124,7 +139,22 @@ % plot the variable plotFunc = getGraphFunc('DepthProfile', 'graph', name); - [lines(k,:), labels] = plotFunc(graphs(k), sample_data, vars(k), 'b'); % current variable is always plotted in blue + if iExtraVar + if extra_sample_data.meta.level == 1 + qcSet = str2double(readProperty('toolbox.qc_set')); + goodFlag = imosQCFlag('good', qcSet, 'flag'); + pGoodFlag = imosQCFlag('probablyGood', qcSet, 'flag'); + rawFlag = imosQCFlag('raw', qcSet, 'flag'); + + iGoodExtra = (extra_sample_data.variables{iExtraVar}.flags == goodFlag) | ... + (extra_sample_data.variables{iExtraVar}.flags == pGoodFlag) | ... + (extra_sample_data.variables{iExtraVar}.flags == rawFlag); + extra_sample_data.variables{iExtraVar}.data(~iGoodExtra) = NaN; + end + plotFunc(graphs(k), extra_sample_data, iExtraVar, 'k'); % extra instrument is always plotted in black + end + % we plot the current instrument last so that it appears on top + [lines(k,:), labels] = plotFunc(graphs(k), sample_data, vars(k), 'b'); % current instrument is always plotted in blue % set x label uom = ''; @@ -144,6 +174,30 @@ set(get(graphs(k), 'YLabel'), 'String', yLabel, 'Interpreter', 'none'); end + curData = sample_data.variables{vars(k)}.data; + curDepth = depth.data; + + [nSamples, nBins] = size(curData); + if strcmpi(mode, 'timeSeries') && nBins > 1 + % ADCP data, we look for vertical dimension + iVertDim = sample_data.variables{vars(k)}.dimensions(2); + curDepth = repmat(curDepth, 1, nBins) - repmat(sample_data.dimensions{iVertDim}.data', nSamples, 1); + end + + if iExtraVar + curData = [curData(:); extra_sample_data.variables{iExtraVar}.data(:)]; + + [nSamples, nBins] = size(extra_sample_data.variables{iExtraVar}.data); + if strcmpi(mode, 'timeSeries') && nBins > 1 + % ADCP data, we look for vertical dimension + iVertDim = extra_sample_data.variables{iExtraVar}.dimensions(2); + extraDepth = repmat(extraDepth, 1, nBins) - repmat(extra_sample_data.dimensions{iVertDim}.data', nSamples, 1); + end + curDepth = [curDepth(:); extraDepth(:)]; + end + + iGood = curDepth >= 0; + if sample_data.meta.level == 1 && strcmp(func2str(plotFunc), 'graphDepthProfileGeneric') qcSet = str2double(readProperty('toolbox.qc_set')); goodFlag = imosQCFlag('good', qcSet, 'flag'); @@ -151,50 +205,39 @@ rawFlag = imosQCFlag('raw', qcSet, 'flag'); % set x and y limits so that axis are optimised for good/probably good/raw data only - curData = sample_data.variables{vars(k)}.data; - curDepth = depth.data; - curFlag = sample_data.variables{vars(k)}.flags; + curFlag = sample_data.variables{vars(k)}.flags; + if iExtraVar + curFlag = [curFlag(:); extra_sample_data.variables{iExtraVar}.flags(:)]; + end - iGood = curDepth >= 0; if strcmpi(mode, 'timeSeries') iGood = (curFlag == goodFlag) | (curFlag == pGoodFlag) | (curFlag == rawFlag); end - - [nSamples, nBins] = size(curData); - if strcmpi(mode, 'timeSeries') && nBins > 1 - % ADCP data, we look for vertical dimension - iVertDim = sample_data.variables{vars(k)}.dimensions(2); - curDepth = repmat(curDepth, 1, nBins) - repmat(sample_data.dimensions{iVertDim}.data', nSamples, 1); - end - - yLimits = [min(floor(min(curDepth(iGood))*10)/10, yLimits(1)), max(ceil(max(curDepth(iGood))*10)/10, yLimits(2))]; - xLimits = [floor(min(curData(iGood))*10)/10, ceil(max(curData(iGood))*10)/10]; - - %check for my surface soak flags - and set xLimits to flag range - if ismember(name, {'tempSoakStatus', 'cndSoakStatus', 'oxSoakStatus'}) - xLimits = [min(imosQCFlag('flag', qcSet, 'values')) max(imosQCFlag('flag', qcSet, 'values'))]; - end - - %check for xLimits max=min - if diff(xLimits) == 0; - if xLimits(1) == 0 - xLimits = [-1, 1]; - else - eps = 0.01 * xLimits(1); - xLimits = [xLimits(1) - eps, xLimits(1) + eps]; - end - end - - if any(any(iGood)) - set(graphs(k), 'YLim', yLimits); - set(graphs(k), 'XLim', xLimits); - end end - yLimits = get(graphs(k), 'YLim'); - yStep = (yLimits(2) - yLimits(1)) / 5; - yTicks = yLimits(1):yStep:yLimits(2); - set(graphs(k), 'YTick', yTicks); + yLimits = [min(floor(min(curDepth(iGood))*10)/10, yLimits(1)), max(ceil(max(curDepth(iGood))*10)/10, yLimits(2))]; + xLimits = [floor(min(curData(iGood))*10)/10, ceil(max(curData(iGood))*10)/10]; + + %check for my surface soak flags - and set xLimits to flag range + if ismember(name, {'tempSoakStatus', 'cndSoakStatus', 'oxSoakStatus'}) + xLimits = [min(imosQCFlag('flag', qcSet, 'values')) max(imosQCFlag('flag', qcSet, 'values'))]; + end + + %check for xLimits max=min + if diff(xLimits) == 0; + if xLimits(1) == 0 + xLimits = [-1, 1]; + else + eps = 0.01 * xLimits(1); + xLimits = [xLimits(1) - eps, xLimits(1) + eps]; + end + end + set(graphs(k), 'XLim', xLimits); end + + % update all graphs with greater Y range found over each variable + yStep = (yLimits(2) - yLimits(1)) / 5; + yTicks = yLimits(1):yStep:yLimits(2); + set(graphs, 'YLim', yLimits, 'YTick', yTicks); end diff --git a/Graph/graphTimeSeries.m b/Graph/graphTimeSeries.m index ca6f2093a..8d6cf7d41 100644 --- a/Graph/graphTimeSeries.m +++ b/Graph/graphTimeSeries.m @@ -1,4 +1,4 @@ -function [graphs, lines, vars] = graphTimeSeries( parent, sample_data, vars ) +function [graphs, lines, vars] = graphTimeSeries( parent, sample_data, vars, extra_sample_data ) %GRAPHTIMESERIES Graphs the given data in a time series style using subplots. % % Graphs the selected variables from the given data set. Each variable is @@ -8,7 +8,8 @@ % Inputs: % parent - handle to the parent container. % sample_data - struct containing sample data. -% vars - Indices of variables that should be graphed.. +% vars - Indices of variables that should be graphed. +% extra_sample_data - struct containing extra sample data. % % Outputs: % graphs - A vector of handles to axes on which the data has @@ -51,22 +52,23 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % - narginchk(3,3); + narginchk(4,4); - if ~ishandle(parent), error('parent must be a handle'); end - if ~isstruct(sample_data), error('sample_data must be a struct'); end - if ~isnumeric(vars), error('vars must be a numeric'); end + if ~ishandle(parent), error('parent must be a handle'); end + if ~isstruct(sample_data), error('sample_data must be a struct'); end + if ~isnumeric(vars), error('vars must be a numeric'); end + if ~isstruct(extra_sample_data) && ... + ~isempty(extra_sample_data), error('extra_sample_data must be a struct or empty'); end graphs = []; lines = []; - + if isempty(vars) - return; + return; end % get the toolbox execution mode mode = readProperty('toolbox.mode'); - switch mode case 'profile' % we don't want to plot TIME, PROFILE, DIRECTION, LATITUDE, LONGITUDE, BOT_DEPTH @@ -80,7 +82,7 @@ % get rid of variables that we should ignore sample_data.variables = sample_data.variables(vars); lenVar = length(sample_data.variables); - + if verLessThan('matlab','8.1') %R2013a graphs = nan(lenVar, 1); lines = nan(lenVar, 1); @@ -102,6 +104,11 @@ name = sample_data.variables{k}.name; dims = sample_data.variables{k}.dimensions; + iExtraVar = 0; + if ~isempty(extra_sample_data) + iExtraVar = getVar(extra_sample_data.variables, name); + end + if length(dims) == 1 % 1D display plotFunc = @graphTimeSeriesGeneric; @@ -112,13 +119,11 @@ switch func2str(plotFunc) case 'graphTimeSeriesGeneric' varData = sample_data.variables{k}.data; + if iExtraVar + varData = [varData; extra_sample_data.variables{iExtraVar}.data]; + end if ischar(varData), varData = str2num(varData); end % we assume data is an array of one single character - minData = min(varData); - maxData = max(varData); - yLimits = [floor(minData*10)/10, ... - ceil(maxData*10)/10]; - if sample_data.meta.level == 1 qcSet = str2double(readProperty('toolbox.qc_set')); goodFlag = imosQCFlag('good', qcSet, 'flag'); @@ -126,18 +131,21 @@ rawFlag = imosQCFlag('raw', qcSet, 'flag'); % set x and y limits so that axis are optimised for good/probably good/raw data only - iGood = sample_data.variables{k}.flags == goodFlag; - iGood = iGood | (sample_data.variables{k}.flags == pGoodFlag); - iGood = iGood | (sample_data.variables{k}.flags == rawFlag); + varFlags = sample_data.variables{k}.flags; + if iExtraVar + varFlags = [varFlags; extra_sample_data.variables{iExtraVar}.flags]; + end + iGood = (varFlags == goodFlag) | (varFlags == pGoodFlag) | (varFlags == rawFlag); if any(iGood) - varData = sample_data.variables{k}.data(iGood); + varData = varData(iGood); if ischar(varData), varData = str2num(varData); end % we assume data is an array of one single character - - minData = min(varData); - maxData = max(varData); - yLimits = [floor(minData*10)/10, ceil(maxData*10)/10]; end end + + minData = min(varData); + maxData = max(varData); + yLimits = [floor(minData*10)/10, ceil(maxData*10)/10]; + case 'graphTimeSeriesTimeDepth' iZDim = sample_data.variables{k}.dimensions(2); yLimits = [floor(min(sample_data.dimensions{iZDim}.data)*10)/10, ... @@ -171,19 +179,34 @@ % create the axes graphs(k) = subplot(lenVar, 1, k, ... - 'Parent', parent, ... - 'XGrid', 'on', ... - 'Color', 'none', ... - 'YGrid', 'on', ... - 'Layer', 'top', ... - 'XLim', xLimits, ... - 'XTick', xTicks, ... - 'XTickLabel', xTickLabels, ... - 'YLim', yLimits, ... - 'YTick', yTicks); + 'Parent', parent, ... + 'XGrid', 'on', ... + 'Color', 'none', ... + 'YGrid', 'on', ... + 'Layer', 'top', ... + 'XLim', xLimits, ... + 'XTick', xTicks, ... + 'XTickLabel', xTickLabels, ... + 'YLim', yLimits, ... + 'YTick', yTicks); % plot the variable - [lines(k,:), labels] = plotFunc(graphs(k), sample_data, k, 'b', xTickProp); % current variable is always plotted in blue + if iExtraVar + if extra_sample_data.meta.level == 1 + qcSet = str2double(readProperty('toolbox.qc_set')); + goodFlag = imosQCFlag('good', qcSet, 'flag'); + pGoodFlag = imosQCFlag('probablyGood', qcSet, 'flag'); + rawFlag = imosQCFlag('raw', qcSet, 'flag'); + + iGoodExtra = (extra_sample_data.variables{iExtraVar}.flags == goodFlag) | ... + (extra_sample_data.variables{iExtraVar}.flags == pGoodFlag) | ... + (extra_sample_data.variables{iExtraVar}.flags == rawFlag); + extra_sample_data.variables{iExtraVar}.data(~iGoodExtra) = NaN; + end + plotFunc(graphs(k), extra_sample_data, iExtraVar, 'k', xTickProp); % extra instrument is always plotted in black + end + % we plot the current instrument last so that it appears on top + [lines(k,:), labels] = plotFunc(graphs(k), sample_data, k, 'b', xTickProp); % current instrument is always plotted in blue if ~isempty(labels) % set x labels and ticks diff --git a/Graph/graphTransect.m b/Graph/graphTransect.m index 8d5e98e87..e467a0065 100644 --- a/Graph/graphTransect.m +++ b/Graph/graphTransect.m @@ -1,10 +1,11 @@ -function [graphs, lines, vars] = graphTransect( parent, sample_data, vars ) +function [graphs, lines, vars] = graphTransect( parent, sample_data, vars, extra_sample_data ) %GRAPHTRANSECT Graphs the given data in a 2D transect manner, using subplot. % % Inputs: % parent - handle to the parent container. % sample_data - struct containing sample data. -% vars - Indices of variables that should be graphed.. +% vars - Indices of variables that should be graphed. +% extra_sample_data - struct containing extra sample data. % % Outputs: % graphs - A vector of handles to axes on which the data has @@ -47,11 +48,13 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % - narginchk(3,3); + narginchk(4,4); - if ~ishandle( parent), error('parent must be a handle'); end - if ~isstruct( sample_data), error('sample_data must be a struct'); end - if ~isnumeric(vars), error('vars must be a numeric'); end + if ~ishandle( parent), error('parent must be a handle'); end + if ~isstruct( sample_data), error('sample_data must be a struct'); end + if ~isnumeric(vars), error('vars must be a numeric'); end + if ~isstruct(extra_sample_data) && ... + ~isempty(extra_sample_data), error('extra_sample_data must be a struct or empty'); end graphs = []; lines = []; diff --git a/Graph/graphXvY.m b/Graph/graphXvY.m index 1be761b00..30e84d5b8 100644 --- a/Graph/graphXvY.m +++ b/Graph/graphXvY.m @@ -1,4 +1,4 @@ -function [graphs, lines, vars] = graphXvY( parent, sample_data, vars ) +function [graphs, lines, vars] = graphXvY( parent, sample_data, vars, extra_sample_data ) %GRAPHTRANSECT Graphs the two variables selected from the given data set % against each other on an X-Y axis. % @@ -6,6 +6,7 @@ % parent - handle to the parent container. % sample_data - struct containing sample data. % vars - Indices of variables that should be graphed. +% extra_sample_data - struct containing extra sample data. % % Outputs: % graphs - A vector of handles to the axes on which the data has @@ -46,11 +47,13 @@ % ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE % POSSIBILITY OF SUCH DAMAGE. % - narginchk(3,3); + narginchk(4,4); - if ~ishandle( parent), error('parent must be a handle'); end - if ~isstruct( sample_data), error('sample_data must be a struct'); end - if ~isnumeric(vars), error('vars must be a numeric'); end + if ~ishandle( parent), error('parent must be a handle'); end + if ~isstruct( sample_data), error('sample_data must be a struct'); end + if ~isnumeric(vars), error('vars must be a numeric'); end + if ~isstruct(extra_sample_data) && ... + ~isempty(extra_sample_data), error('extra_sample_data must be a struct or empty'); end graphs = []; lines = []; @@ -74,13 +77,20 @@ vars = vars + p; if length(sample_data.variables{vars(1)}.dimensions) > 1 ... - || length(sample_data.variables{vars(2)}.dimensions) > 1 - error('XvY only supports single dimensional data'); + || length(sample_data.variables{vars(2)}.dimensions) > 1 + error('XvY only supports single dimensional data'); end xname = sample_data.variables{vars(1)}.name; yname = sample_data.variables{vars(2)}.name; + ixExtraVar = 0; + iyExtraVar = 0; + if ~isempty(extra_sample_data) + ixExtraVar = getVar(extra_sample_data.variables, xname); + iyExtraVar = getVar(extra_sample_data.variables, yname); + end + % create the axes graphs = axes('Parent', parent,... 'XGrid', 'on',... @@ -89,8 +99,28 @@ 'ZGrid', 'on'); % plot the variable - plotFunc = getGraphFunc('XvY', 'graph', xname); - [lines, labels] = plotFunc(graphs, sample_data, vars, 'b'); % current variable is always plotted in blue + plotFunc = getGraphFunc('XvY', 'graph', xname); + if ixExtraVar && iyExtraVar + if extra_sample_data.meta.level == 1 + qcSet = str2double(readProperty('toolbox.qc_set')); + goodFlag = imosQCFlag('good', qcSet, 'flag'); + pGoodFlag = imosQCFlag('probablyGood', qcSet, 'flag'); + rawFlag = imosQCFlag('raw', qcSet, 'flag'); + + iGoodExtra = (extra_sample_data.variables{ixExtraVar}.flags == goodFlag) | ... + (extra_sample_data.variables{ixExtraVar}.flags == pGoodFlag) | ... + (extra_sample_data.variables{ixExtraVar}.flags == rawFlag); + extra_sample_data.variables{ixExtraVar}.data(~iGoodExtra) = NaN; + + iGoodExtra = (extra_sample_data.variables{iyExtraVar}.flags == goodFlag) | ... + (extra_sample_data.variables{iyExtraVar}.flags == pGoodFlag) | ... + (extra_sample_data.variables{iyExtraVar}.flags == rawFlag); + extra_sample_data.variables{iyExtraVar}.data(~iGoodExtra) = NaN; + end + plotFunc(graphs, extra_sample_data, [ixExtraVar, iyExtraVar], 'k'); % extra instrument is always plotted in black + end + % we plot the current instrument last so that it appears on top + [lines, labels] = plotFunc(graphs, sample_data, vars, 'b'); % current instrument is always plotted in blue % set x label uom = ''; @@ -120,6 +150,13 @@ curFlagX = sample_data.variables{vars(1)}.flags; curFlagY = sample_data.variables{vars(2)}.flags; + if ixExtraVar && iyExtraVar + curDataX = [curDataX; extra_sample_data.variables{ixExtraVar}.data]; + curDataY = [curDataY; extra_sample_data.variables{iyExtraVar}.data]; + curFlagX = [curFlagX; extra_sample_data.variables{ixExtraVar}.flags]; + curFlagY = [curFlagY; extra_sample_data.variables{iyExtraVar}.flags]; + end + curFlag = max(curFlagX, curFlagY); iGood = (curFlag == goodFlag) | (curFlag == pGoodFlag) | (curFlag == rawFlag); From 2a4be73643416cfe908c6dcd5cb66c69b3da7a7a Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Thu, 20 Jul 2017 18:09:15 +1000 Subject: [PATCH 06/12] Make sure auto zoom on graph(s) other than current one takes into account extra sample data if extra sample is selected. --- GUI/mainWindow.m | 13 +++++++++++-- Graph/TimeSeries/highlightTimeSeriesGeneric.m | 4 ++-- Graph/graphTimeSeries.m | 16 +++++++++++----- 3 files changed, 24 insertions(+), 9 deletions(-) diff --git a/GUI/mainWindow.m b/GUI/mainWindow.m index 846c41852..5e626d3ec 100644 --- a/GUI/mainWindow.m +++ b/GUI/mainWindow.m @@ -488,6 +488,7 @@ function zoomPostCallback(source, ev) % change in the Y range of displayed data if ~isempty(graphs1D) sam = getSelectedData(); + extraSam = getExtraSelectedData(); hTickBoxes = get(varPanel, 'UserData'); @@ -501,8 +502,8 @@ function zoomPostCallback(source, ev) userData = get(graphs1D(i), 'UserData'); hData = userData{1}; - xData = get(hData, 'XData'); - yData = get(hData, 'YData'); + xData = get(hData(1), 'XData'); + yData = get(hData(1), 'YData'); iTickBox = userData{2}; % index into currently ticked boxes iAllTickedBox = find(cell2mat(get(hTickBoxes, 'Value')) == 1); @@ -510,6 +511,14 @@ function zoomPostCallback(source, ev) varName = get(hTickBoxes(iAllTickedBox(iTickBox)), 'String'); iVar = getVar(sam.variables, varName); flags = sam.variables{iVar}.flags; + if get(extraSampleCb, 'value') + iExtraVar = getVar(extraSam.variables, varName); + if iExtraVar + flags = [flags; extraSam.variables{iExtraVar}.flags]; + xData = [xData, get(hData(2), 'XData')]; + yData = [yData, get(hData(2), 'YData')]; + end + end iGood = ismember(flags, okFlags); xData(~iGood) = []; diff --git a/Graph/TimeSeries/highlightTimeSeriesGeneric.m b/Graph/TimeSeries/highlightTimeSeriesGeneric.m index 570eeb76a..7de7e5b6c 100644 --- a/Graph/TimeSeries/highlightTimeSeriesGeneric.m +++ b/Graph/TimeSeries/highlightTimeSeriesGeneric.m @@ -59,8 +59,8 @@ if ~isstruct(variable), error('variable must be a struct'); end if ~ischar(type), error('type must be a string'); end -xdata = get(data, 'XData'); -ydata = get(data, 'YData'); +xdata = get(data(1), 'XData'); % data(1) retrieves the first graphic handle only in case extra sample is selected +ydata = get(data(1), 'YData'); if iscell(xdata) xdata = cell2mat(xdata)'; diff --git a/Graph/graphTimeSeries.m b/Graph/graphTimeSeries.m index 8d6cf7d41..54355fe39 100644 --- a/Graph/graphTimeSeries.m +++ b/Graph/graphTimeSeries.m @@ -62,7 +62,7 @@ graphs = []; lines = []; - + if isempty(vars) return; end @@ -82,13 +82,19 @@ % get rid of variables that we should ignore sample_data.variables = sample_data.variables(vars); lenVar = length(sample_data.variables); + + if ~isempty(extra_sample_data) + nInst = 2; + else + nInst = 1; + end if verLessThan('matlab','8.1') %R2013a graphs = nan(lenVar, 1); - lines = nan(lenVar, 1); + lines = nan(lenVar, nInst); else graphs = gobjects(lenVar, 1); - lines = gobjects(lenVar, 1); + lines = gobjects(lenVar, nInst); end iTimeDim = getVar(sample_data.dimensions, 'TIME'); @@ -203,10 +209,10 @@ (extra_sample_data.variables{iExtraVar}.flags == rawFlag); extra_sample_data.variables{iExtraVar}.data(~iGoodExtra) = NaN; end - plotFunc(graphs(k), extra_sample_data, iExtraVar, 'k', xTickProp); % extra instrument is always plotted in black + [lines(k,2), ~] = plotFunc(graphs(k), extra_sample_data, iExtraVar, 'k', xTickProp); % extra instrument is always plotted in black end % we plot the current instrument last so that it appears on top - [lines(k,:), labels] = plotFunc(graphs(k), sample_data, k, 'b', xTickProp); % current instrument is always plotted in blue + [lines(k,1), labels] = plotFunc(graphs(k), sample_data, k, 'b', xTickProp); % current instrument is always plotted in blue if ~isempty(labels) % set x labels and ticks From 8cb2dc4960795441a0049d37b33a1166fd1e4813 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Fri, 21 Jul 2017 15:31:05 +1000 Subject: [PATCH 07/12] Graph type XvY can support nD variables with n>=1. X and Y just need to have matching number of dimensions. --- Graph/graphXvY.m | 5 ----- 1 file changed, 5 deletions(-) diff --git a/Graph/graphXvY.m b/Graph/graphXvY.m index 30e84d5b8..635316325 100644 --- a/Graph/graphXvY.m +++ b/Graph/graphXvY.m @@ -76,11 +76,6 @@ end vars = vars + p; - if length(sample_data.variables{vars(1)}.dimensions) > 1 ... - || length(sample_data.variables{vars(2)}.dimensions) > 1 - error('XvY only supports single dimensional data'); - end - xname = sample_data.variables{vars(1)}.name; yname = sample_data.variables{vars(2)}.name; From 8837d2e4b91f4f8567f6056bc54245a9f6590bfc Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Fri, 21 Jul 2017 16:49:40 +1000 Subject: [PATCH 08/12] Replaced "Save Graph" button by "Save Figure" button from uitoolbar. Rearranged state buttons in a uipanel and filled a bit of unused space. --- GUI/mainWindow.m | 45 +++++------- Util/saveGraph.m | 183 ----------------------------------------------- 2 files changed, 18 insertions(+), 210 deletions(-) delete mode 100644 Util/saveGraph.m diff --git a/GUI/mainWindow.m b/GUI/mainWindow.m index 5e626d3ec..bc94a3575 100644 --- a/GUI/mainWindow.m +++ b/GUI/mainWindow.m @@ -155,22 +155,21 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb 'Parent', fig,... 'BorderType', 'none'); +% buttons panel +butPanel = uipanel(... + 'Parent', sidePanel,... + 'BorderType', 'none'); + % state buttons lenStates = length(states); stateButtons = nan(lenStates, 1); for k = 1:lenStates stateButtons(k) = uicontrol(... - 'Parent', sidePanel,... + 'Parent', butPanel,... 'Style', 'pushbutton',... 'String', states{k}); end -% button to save current graph as an image -graphButton = uicontrol(... - 'Parent', sidePanel, ... - 'Style', 'pushbutton',... - 'String', 'Save Graph'); - % variable selection panel - created in createVarPanel varPanel = uipanel(... 'Parent', sidePanel,... @@ -186,8 +185,8 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb set(fig, 'Units', 'normalized'); set(sidePanel, 'Units', 'normalized'); set(mainPanel, 'Units', 'normalized'); +set(butPanel, 'Units', 'normalized'); set(varPanel, 'Units', 'normalized'); -set(graphButton, 'Units', 'normalized'); set(sampleMenu, 'Units', 'normalized'); set(graphMenu, 'Units', 'normalized'); set(extraSampleCb, 'Units', 'normalized'); @@ -216,17 +215,16 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb set(extraSampleMenu, 'Position', posUi2(fig, 100, 100, 6:10, 1:75, 0)); set(extraSampleCb, 'Position', posUi2(fig, 100, 100, 6:10, 76:100, 0)); -% varPanel, graph and stateButtons are positioned relative to sidePanel +% varPanel and butPanel are positioned relative to sidePanel +set(butPanel, 'Position', posUi2(sidePanel, 10, 1, 1:5, 1, 0)); set(varPanel, 'Position', posUi2(sidePanel, 10, 1, 6:10, 1, 0)); +% set state buttons position relative to butPanel n = length(stateButtons); for k = 1:n - set(stateButtons(k), 'Position', posUi2(sidePanel, 2*(n+1)+1, 1, k, 1, 0)); + set(stateButtons(k), 'Position', posUi2(butPanel, n, 1, k, 1, 0)); end -% graph button is tacked on right below state buttons -set(graphButton, 'Position', posUi2(sidePanel, 2*(n+1)+1, 1, n+1, 1, 0)); - % set callbacks - variable panel widget % callbacks are set in createParamPanel set(sampleMenu, 'Callback', @sampleMenuCallback); @@ -234,7 +232,6 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb set(extraSampleCb, 'Callback', @sampleMenuCallback); set(extraSampleMenu, 'Callback', @sampleMenuCallback); set(stateButtons, 'Callback', @stateButtonCallback); -set(graphButton, 'Callback', @graphButtonCallback); set(fig, 'Visible', 'on'); createVarPanel(sample_data{1}, []); @@ -243,19 +240,24 @@ function mainWindow(windowTitle, sample_data, states, startState, selectionCallb tb = findall(fig, 'Type', 'uitoolbar'); buttons = findall(tb); -zoomoutb = findobj(buttons, 'TooltipString', 'Zoom Out'); +savefigb = findobj(buttons, 'TooltipString', 'Save Figure'); zoominb = findobj(buttons, 'TooltipString', 'Zoom In'); +zoomoutb = findobj(buttons, 'TooltipString', 'Zoom Out'); panb = findobj(buttons, 'TooltipString', 'Pan'); datacursorb = findobj(buttons, 'TooltipString', 'Data Cursor'); buttons(buttons == tb) = []; -buttons(buttons == zoomoutb) = []; +buttons(buttons == savefigb) = []; buttons(buttons == zoominb) = []; +buttons(buttons == zoomoutb) = []; buttons(buttons == panb) = []; buttons(buttons == datacursorb) = []; delete(buttons); +% reset save figure callback with the FileSaveAs one instead of FileSave +set(savefigb, 'ClickedCallback', 'filemenufcn(gcbf,''FileSaveAs'')'); + %set zoom/pan post-callback %zoom v6 off; % undocumented Matlab to make sure zoom function prior to R14 is not used. Seems to not be supported from R2015a. hZoom = zoom(fig); @@ -424,17 +426,6 @@ function stateButtonCallback(source, ev) createVarPanel(sam, vars); end - function graphButtonCallback(source, ev) - %GRAPHBUTTONCALLBACK Called when the user pushes the 'Save Graph' button. - % Prompts the user to save the current graph. - - % find all axes objects on the main panel - ax = findobj(mainPanel, 'Type', 'axes'); - - % save the axes - saveGraph(fig, ax); - end - function varPanelCallback(source, ev) %PARAMPANELCALLBACK Called when the variable or dimension selection % changes. Delegates to selectionChange. diff --git a/Util/saveGraph.m b/Util/saveGraph.m deleted file mode 100644 index f97a58391..000000000 --- a/Util/saveGraph.m +++ /dev/null @@ -1,183 +0,0 @@ -function return_types = saveGraph( fig, ax ) -%SAVEGRAPH Saves the given axis to an image file. Prompts the user to select -% the location and file name. -% -% Inputs: -% fig - The main figure handle. -% ax - The axis handle to save. -% -% Author: Paul McCarthy -% Contributor: Guillaume Galibert -% - -% -% Copyright (c) 2016, Australian Ocean Data Network (AODN) and Integrated -% Marine Observing System (IMOS). -% All rights reserved. -% -% Redistribution and use in source and binary forms, with or without -% modification, are permitted provided that the following conditions are met: -% -% * Redistributions of source code must retain the above copyright notice, -% this list of conditions and the following disclaimer. -% * Redistributions in binary form must reproduce the above copyright -% notice, this list of conditions and the following disclaimer in the -% documentation and/or other materials provided with the distribution. -% * Neither the name of the AODN/IMOS nor the names of its contributors -% may be used to endorse or promote products derived from this software -% without specific prior written permission. -% -% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE -% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE -% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE -% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR -% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF -% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS -% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN -% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) -% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE -% POSSIBILITY OF SUCH DAMAGE. -% - -% supported export types and corresponding print function switches -fileTypes = {'*.png'; '*.jpg' ; '*.bmp' ; '*.pdf'}; -printSwitches = {'-dpng'; '-djpeg'; '-dbmp16m'; '-dpdf'}; - - -dateFmt = readProperty('toolbox.timeFormat'); - -try - noPrompt = eval(readProperty('saveGraph.noPrompt')); -catch e - noPrompt = false; -end - -try - exportDir = readProperty('saveGraph.exportDir'); - if ~exist(exportDir, 'dir'), error(''); end -catch e - exportDir = '.'; -end - -try - imgType = ['*.' readProperty('saveGraph.imgType')]; - if ~ismember(imgType, fileTypes), error(''); end - imgType = find(strcmp(imgType, fileTypes)); -catch e - imgType = 1; -end - -fileName = ['graph_' datestr(now, dateFmt) '.' fileTypes{imgType}(3:end)]; - -if ~noPrompt - - while true - - % prompt user to select file type, name, save location - [fileName exportDir imgType] = ... - uiputfile(fileTypes, 'Save Graph', exportDir); - - % user cancelled dialog - if fileName == 0, return; end - - [~, name, ext] = fileparts(fileName); - - % The uiputfile function automatically adds an 'All Files' - % option to the list of file types. What purpose could this possibly - % serve? It's a save dialog. Anyway, if the user - % selects this option, we need to figure out if the user has provided a - % file extension, and if it is a supported type. - if imgType > length(fileTypes) - - % if user hasn't provided an extension, just use the default - if isempty(ext), imgType = 1; - - % if user has provided an unknown type, show an error, reprompt - elseif ~ismember(['*' ext], fileTypes) - - e = errordlg(... - 'Please provide a file type', 'Unknown file type', 'modal'); - uiwait(e); - - continue; - - % otherwise extract the extension - else imgType = find(strcmp(['*' ext], fileTypes)); - end - end - - % if user hasn't provided the correct extension, add it - if isempty(ext), fileName = [name '.' fileTypes{imgType}(3:end)]; - - % if user has provided a different - % extension, append the correct extension - elseif ~strcmp(['*' ext], fileTypes{imgType}) - - fileName = [fileName '.' fileTypes{imgType}(3:end)]; - end - - % update toolbox properties for next time - writeProperty('saveGraph.exportDir', exportDir); - writeProperty('saveGraph.imgType', fileTypes{imgType}(3:end)); - - break; - end -end - -progress = waitbar(0, 'Saving graph', ... - 'Name', 'Saving',... - 'DefaultTextInterpreter','none'); - -% Matlab can't save individual axes - it is only able to save complete -% figures. What we are doing, then, is copying the provided axis over to a -% new, invisible figure, and saving that figure. -saveFig = figure('Visible', 'off'); - -% ensure the printed version is the same whatever the screen used. -set(saveFig, 'PaperPositionMode', 'manual'); -set(saveFig, 'PaperType', 'A4', 'PaperOrientation', 'landscape', 'PaperUnits', 'normalized', 'PaperPosition', [0, 0, 1, 1]); - -% preserve the color scheme -set(saveFig, 'InvertHardcopy', 'off'); - -new_ax = copyobj(ax, saveFig); - -% Note that figure properties like the colormap and axes properties are not -% copied automatically by copyobj. -col = get(fig, 'Colormap'); -set(saveFig, 'Colormap', col); - -% the default renderer under windows is opengl; for some reason, -% printing pcolor plots fails when using opengl as the renderer -set(saveFig, 'Renderer', 'zbuffer'); - -waitbar(1, progress); -msg = ''; -icon = ''; - -try - print(saveFig, printSwitches{imgType}, fullfile(exportDir, fileName)); - - % trick to save the image in landscape rather than portrait file - image = imread(fullfile(exportDir, fileName)); - r = image(:,:,1); - g = image(:,:,2); - b = image(:,:,3); - r = rot90(r, 3); - g = rot90(g, 3); - b = rot90(b, 3); - image = cat(3, r, g, b); - imwrite(image, fullfile(exportDir, fileName)); - - msg = [fileName ' saved successfully']; - icon = 'none'; - -catch e - msg = ['Could not save ' fileName ' (' e.message ')']; - icon = 'error'; -end - -delete(saveFig); -close(progress); -uiwait(msgbox(msg, 'Save graph', icon, 'non-modal')); From 3238a6e060c872a51e84e5acc696be4b491c8446 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Mon, 24 Jul 2017 16:44:30 +1000 Subject: [PATCH 09/12] Fix variableOffsetPP for the case when global attributes instrument_nominal_depth and / or time_deployment_start exist but set to empty. --- Preprocessing/variableOffsetPP.m | 19 +++++++++++++++---- 1 file changed, 15 insertions(+), 4 deletions(-) diff --git a/Preprocessing/variableOffsetPP.m b/Preprocessing/variableOffsetPP.m index 735c6a111..71efa71f3 100644 --- a/Preprocessing/variableOffsetPP.m +++ b/Preprocessing/variableOffsetPP.m @@ -164,8 +164,12 @@ timeCurrent = sample_data{k}.dimensions{iTimeCurrent}.data; nominalDepthCurrent = inf; if isfield(sample_data{k}, 'instrument_nominal_depth') - nominalDepthCurrent = sample_data{k}.instrument_nominal_depth; - else + if ~isempty(sample_data{k}.instrument_nominal_depth) + nominalDepthCurrent = sample_data{k}.instrument_nominal_depth; + end + end + + if isinf(nominalDepthCurrent) fprintf('%s\n', ['Info : ' sample_data{k}.toolbox_input_file ... ' please document instrument_nominal_depth global attributes'... ' so that a nearest instrument can be found in the mooring']); @@ -175,13 +179,20 @@ % deployment timeForDiff = timeCurrent(1) + (timeCurrent(end)-timeCurrent(1))/4; if isfield(sample_data{k}, 'time_deployment_start') - % or preferably from the moment the mooring is in position - timeForDiff = sample_data{k}.time_deployment_start; + if ~isempty(sample_data{k}.time_deployment_start) + % or preferably from the moment the mooring is in position + timeForDiff = sample_data{k}.time_deployment_start; + else + fprintf('%s\n', ['Info : ' sample_data{k}.toolbox_input_file ... + ' please document time_deployment_start global attributes'... + ' so that difference with a nearest instrument can be better calculated']); + end else fprintf('%s\n', ['Info : ' sample_data{k}.toolbox_input_file ... ' please document time_deployment_start global attributes'... ' so that difference with a nearest instrument can be better calculated']); end + iForDiff = timeCurrent >= timeForDiff & ... timeCurrent <= timeForDiff + 1; timeCurrentForDiff = timeCurrent(iForDiff); From 0a102e1190c16290e0cb56bb79575fa7ee298092 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 25 Jul 2017 15:28:47 +1000 Subject: [PATCH 10/12] Fix error message in scatterMooring1DVarAgainstDepth and scatterMooring2DVarAgainstDepth when instrument_nominal_depth is not documented. --- Graph/scatterMooring1DVarAgainstDepth.m | 8 +++++++- Graph/scatterMooring2DVarAgainstDepth.m | 13 ++++++++++++- 2 files changed, 19 insertions(+), 2 deletions(-) diff --git a/Graph/scatterMooring1DVarAgainstDepth.m b/Graph/scatterMooring1DVarAgainstDepth.m index d56040574..4d3641d7b 100644 --- a/Graph/scatterMooring1DVarAgainstDepth.m +++ b/Graph/scatterMooring1DVarAgainstDepth.m @@ -265,7 +265,13 @@ function scatterMooring1DVarAgainstDepth(sample_data, varName, isQC, saveToFile, depth = sample_data{iSort(i)}.variables{iDepth}.data; else if isfield(sample_data{iSort(i)}, 'instrument_nominal_depth') - depth = sample_data{iSort(i)}.instrument_nominal_depth*ones(size(iGood)); + if ~isempty(sample_data{iSort(i)}.instrument_nominal_depth) + depth = sample_data{iSort(i)}.instrument_nominal_depth*ones(size(iGood)); + else + fprintf('%s\n', ['Error : in ' sample_data{iSort(i)}.toolbox_input_file ... + ', global attribute instrument_nominal_depth is not documented.']); + continue; + end else fprintf('%s\n', ['Error : in ' sample_data{iSort(i)}.toolbox_input_file ... ', global attribute instrument_nominal_depth is not documented.']); diff --git a/Graph/scatterMooring2DVarAgainstDepth.m b/Graph/scatterMooring2DVarAgainstDepth.m index 1be431007..a702ecf80 100644 --- a/Graph/scatterMooring2DVarAgainstDepth.m +++ b/Graph/scatterMooring2DVarAgainstDepth.m @@ -348,7 +348,18 @@ function scatterMooring2DVarAgainstDepth(sample_data, varName, isQC, saveToFile, dataDepth = sample_data{iSort(i)}.variables{iDepth}.data; else if isfield(sample_data{iSort(i)}, 'instrument_nominal_depth') - dataDepth = sample_data{iSort(i)}.instrument_nominal_depth*ones(size(iGoodTime)); + if ~isempty(sample_data{iSort(i)}.instrument_nominal_depth) + if iHeight == 0 + dataDepth = sample_data{iSort(i)}.instrument_nominal_depth*ones(size(iGoodTime)); + else + dataDepth = repmat(sample_data{iSort(i)}.instrument_nominal_depth + ... + sample_data{iSort(i)}.dimensions{iHeight}.data, 1, length(iGoodTime)); + end + else + fprintf('%s\n', ['Error : in ' sample_data{iSort(i)}.toolbox_input_file ... + ', global attribute instrument_nominal_depth is not documented.']); + continue; + end else fprintf('%s\n', ['Error : in ' sample_data{iSort(i)}.toolbox_input_file ... ', global attribute instrument_nominal_depth is not documented.']); From 3a23fbcd6bb1ee7a40d2c8a8b277a319d89d21f6 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 25 Jul 2017 16:46:20 +1000 Subject: [PATCH 11/12] Modify offsetPP.m so that not only scalar values are accepted but also any Matlab statement, including the sam data structure representing the currently selected instrument. --- Preprocessing/variableOffsetPP.m | 164 +++++++++++++++++++++---------- 1 file changed, 112 insertions(+), 52 deletions(-) diff --git a/Preprocessing/variableOffsetPP.m b/Preprocessing/variableOffsetPP.m index 71efa71f3..a59aed564 100644 --- a/Preprocessing/variableOffsetPP.m +++ b/Preprocessing/variableOffsetPP.m @@ -92,16 +92,22 @@ for k = 1:nSampleData nVars = length(sample_data{k}.variables); - defaultOffsets{k} = zeros(nVars,1); - defaultScales{ k} = ones( nVars,1); + defaultOffsets{k} = cell(1, nVars); + defaultScales{ k} = cell(1, nVars); + + defaultOffsets{k}(:) = {'0'}; + defaultScales{ k}(:) = {'1'}; % read dataset specific PP parameters if exist and override previous entries from % parameter file depth.txt defaultOffsets{k} = readDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'offset', defaultOffsets{k}); defaultScales{k} = readDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'scale', defaultScales{k}); end - appliedOffsets = defaultOffsets; - appliedScales = defaultScales; + appliedOffsetsStr = defaultOffsets; + appliedScalesStr = defaultScales; + + appliedOffsetsNum = defaultOffsets; + appliedScalesNum = defaultScales; if ~auto % dialog figure @@ -246,8 +252,8 @@ notRelevantParams = {'TIMESERIES', 'PROFILE', 'TRAJECTORIES', 'TIME', 'LATITUDE', 'LONGITUDE', 'NOMINAL_DEPTH', 'BOT_DEPTH', 'DIRECTION'}; if any(strcmpi(sample_data{k}.variables{m}.name, notRelevantParams)), continue; end - offsetVal = num2str(defaultOffsets{k}(m)); - scaleVal = num2str(defaultScales{k}(m)); + offsetVal = defaultOffsets{k}{m}; + scaleVal = defaultScales{k}{m}; sizeData = size(sample_data{k}.variables{m}.data); @@ -307,7 +313,7 @@ iNanDataCurrent = isnan(sample_data{k}.variables{m}.data); varLabel = uicontrol(... - 'Parent', setPanels(k), 'Style', 'text', 'String', sample_data{k}.variables{m}.name); + 'Parent', setPanels(k), 'Style', 'text', 'String', [sample_data{k}.variables{m}.name ' or sam.variables{' num2str(m) '}.data']); minLabel = uicontrol(... 'Parent', setPanels(k), 'Style', 'text', 'String', num2str(min(sample_data{k}.variables{m}.data(~iNanDataCurrent)))); maxLabel = uicontrol(... @@ -376,42 +382,60 @@ end % user cancelled dialog - if isempty(appliedOffsets) || isempty(appliedScales), return; end + if isempty(appliedOffsetsStr) || isempty(appliedScalesStr), return; end % otherwise, apply the offsets/scales for k = 1:nSampleData - vars = sample_data{k}.variables; + sam = sample_data{k}; + vars = sam.variables; - for m = 1:length(vars) - if ~isnan(appliedOffsets{k}(m)) && ~isnan(appliedScales{k}(m)) - if (appliedOffsets{k}(m) ~= 0 || appliedScales{k}(m) ~= 1) - % apply offsets and scales - vars{m}.data = appliedOffsets{k}(m) + (appliedScales{k}(m) .* vars{m}.data); - - variableOffsetComment = ['variableOffsetPP: variable values modified applying '... - 'the following formula: new_data = offset + (scale * data) with offset = ' ... - num2str(appliedOffsets{k}(m)) ' and scale = ' num2str(appliedScales{k}(m)) '.']; - - comment = vars{m}.comment; - if isempty(comment) - vars{m}.comment = variableOffsetComment; - else - vars{m}.comment = [comment ' ' variableOffsetComment]; - end - - history = sample_data{k}.history; - if isempty(history) - sample_data{k}.history = sprintf('%s - %s', datestr(now_utc, readProperty('exportNetCDF.dateFormat')), variableOffsetComment); - else - sample_data{k}.history = sprintf('%s\n%s - %s', history, datestr(now_utc, readProperty('exportNetCDF.dateFormat')), variableOffsetComment); - end + for m = 1:length(vars) + appliedOffsetsNum{k}{m} = str2double(appliedOffsetsStr{k}{m}); + if isnan(appliedOffsetsNum{k}{m}) + % we have a string value which is a valid Matlab formula + appliedOffsetsNum{k}{m} = eval(appliedOffsetsStr{k}{m}); + end + + appliedScalesNum{k}{m} = str2double(appliedScalesStr{k}{m}); + if isnan(appliedOffsetsNum{k}{m}) + % we have a string value which is a valid Matlab formula + appliedScalesNum{k}{m} = eval(appliedScalesStr{k}{m}); + end + + if any(any(appliedOffsetsNum{k}{m} ~= 0)) || any(any(appliedScalesNum{k}{m} ~= 1)) + % apply offsets and scales + vars{m}.data = appliedOffsetsNum{k}{m} + (appliedScalesNum{k}{m} .* vars{m}.data); + + variableOffsetComment = ['variableOffsetPP: ' vars{m}.name ' values modified '... + 'following new_data = offset + (scale * data) with offset = ' ... + appliedOffsetsStr{k}{m} ' and scale = ' appliedScalesStr{k}{m} '.']; + + % replace Matlab sam structure with actual variable names in comment + variableOffsetComment = strrep(variableOffsetComment, 'sam.', ''); + for n = 1:length(vars) + variableOffsetComment = strrep(variableOffsetComment, ['variables{' num2str(n) '}.data'], sam.variables{n}.name); + variableOffsetComment = strrep(variableOffsetComment, ['variables{' num2str(n) '}'], sam.variables{n}.name); + end + + comment = vars{m}.comment; + if isempty(comment) + vars{m}.comment = variableOffsetComment; + else + vars{m}.comment = [comment ' ' variableOffsetComment]; end - if (appliedOffsets{k}(m) ~= defaultOffsets{k}(m) || appliedScales{k}(m) ~= defaultScales{k}(m)) - % write/update dataset PP parameters - writeDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'offset', appliedOffsets{k}); - writeDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'scale', appliedScales{k}); + + history = sample_data{k}.history; + if isempty(history) + sample_data{k}.history = sprintf('%s - %s', datestr(now_utc, readProperty('exportNetCDF.dateFormat')), variableOffsetComment); + else + sample_data{k}.history = sprintf('%s\n%s - %s', history, datestr(now_utc, readProperty('exportNetCDF.dateFormat')), variableOffsetComment); end end + if ~strcmpi(appliedOffsetsStr{k}{m}, defaultOffsets{k}{m}) || ~strcmpi(appliedScalesStr{k}{m}, defaultScales{k}{m}) + % write/update dataset PP parameters + writeDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'offset', appliedOffsetsStr{k}); + writeDatasetParameter(sample_data{k}.toolbox_input_file, currentPProutine, 'scale', appliedScalesStr{k}); + end end sample_data{k}.variables = vars; end @@ -429,8 +453,8 @@ function keyPressCallback(source,ev) function cancelButtonCallback(source,ev) %CANCELBUTTONCALLBACK Discards user input, and closes the dialog. % - appliedOffsets = {}; - appliedScales = {}; + appliedOffsetsStr = {}; + appliedScalesStr = {}; delete(f); end @@ -442,37 +466,73 @@ function confirmButtonCallback(source,ev) function offsetFieldCallback(source, ev) %OFFSETFIELDCALLBACK Called when the user edits one of the offset fields. - % Verifies that the text entered is a number. + % Verifies that the text entered is a number or a valid Matlab statement. % - val = get(source, 'String'); + valStr = get(source, 'String'); setIdx = get(get(source, 'Parent'), 'UserData'); varIdx = get(source, 'UserData'); - val = str2double(val); + valNum = str2double(valStr); - % reset the offset value on non-numerical - % input, otherwise save the new value - if isnan(val), set(source, 'String', num2str(defaultOffsets{setIdx}(varIdx))); - else appliedOffsets{setIdx}(varIdx) = val; + if isnan(valNum) + % we have a string value + isValid = true; + try + sam = sample_data{setIdx}; + valNum = eval(valStr); + catch e + isValid = false; + end + + if isValid + % we have a valid Matlab formula + appliedOffsetsStr{setIdx}{varIdx} = valStr; + appliedOffsetsNum{setIdx}{varIdx} = valNum; + else + % we reset to default value + set(source, 'String', defaultOffsets{setIdx}{varIdx}); + end + else + % we have a numerical value + appliedOffsetsStr{setIdx}{varIdx} = valStr; + appliedOffsetsNum{setIdx}{varIdx} = valNum; end end function scaleFieldCallback(source, ev) %SCALEFIELDCALLBACK Called when the user edits one of the scale fields. - % Verifies that the text entered is a number. + % Verifies that the text entered is a number or a valid Matlab statement. % - val = get(source, 'String'); + valStr = get(source, 'String'); setIdx = get(get(source, 'Parent'), 'UserData'); varIdx = get(source, 'UserData'); - val = str2double(val); + valNum = str2double(valStr); - % reset the scale value on non-numerical - % input, otherwise save the new value - if isnan(val), set(source, 'String', num2str(defaultScales{setIdx}(varIdx))); - else appliedScales{setIdx}(varIdx) = val; + if isnan(valNum) + % we have a string value + isValid = true; + try + sam = sample_data{setIdx}; + valNum = eval(valStr); + catch e + isValid = false; + end + + if isValid + % we have a valid Matlab formula + appliedScalesStr{setIdx}{varIdx} = valStr; + appliedScalesNum{setIdx}{varIdx} = valNum; + else + % we reset to default value + set(source, 'String', defaultScales{setIdx}{varIdx}); + end + else + % we have a numerical value + appliedScalesStr{setIdx}{varIdx} = valStr; + appliedScalesNum{setIdx}{varIdx} = valNum; end end end From 7d123b5ee0677eb02c58036906c7a30cefb5eb05 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Tue, 25 Jul 2017 16:47:29 +1000 Subject: [PATCH 12/12] Increment version to v2.5.31 and update binaries accordingly. --- imosToolbox.m | 2 +- imosToolbox_Linux64.bin | Bin 615409 -> 614925 bytes imosToolbox_Win32.exe | Bin 766908 -> 766384 bytes imosToolbox_Win64.exe | Bin 817441 -> 816905 bytes 4 files changed, 1 insertion(+), 1 deletion(-) diff --git a/imosToolbox.m b/imosToolbox.m index 06ea2b00b..1d1b12f4b 100644 --- a/imosToolbox.m +++ b/imosToolbox.m @@ -49,7 +49,7 @@ function imosToolbox(auto, varargin) % % Set current toolbox version -toolboxVersion = ['2.5.30 - ' computer]; +toolboxVersion = ['2.5.31 - ' computer]; if nargin == 0, auto = 'manual'; end diff --git a/imosToolbox_Linux64.bin b/imosToolbox_Linux64.bin index 776d1d058ba4798846859ecab4337015e503f071..e2980a0229492e1dc4d22903a8ead7d953454edf 100755 GIT binary patch delta 504353 zcmY(qQ*fY7v^5+}CYso`lZhv`ZQIGj_7mH-ZQHgpv29!bd(L<9*ST2LyQ-`EYVEbU zckjL(A&VL$^KAr076MlY!D>Mh0_6hz-$+RqROtUjX(FK9pwR!#O5J6E1)QX8iGtDs 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