Why does MATLAB export the .png with a graph besides the right y-axis?

18 次查看（过去 30 天）
Tom Kristian Hoffmann
评论： David Wilkinson 2023-4-26
When opening the exported .png file I see that MATLAB has added or extended the graph beyond the right y-axis. I want to plot several shorter time series of a long temperature history and use xlimit to achieve my wanted time window. When exporting the figure as a svg or eps it is gone but then other information go missing.
How can I eliminate the 'extra' graph on the right side for my .png?
  2 个评论
Vinayak Choyyan
Vinayak Choyyan 2023-4-11
Hi Tom,
This is not an expected behaviour. Please share your code and data with us so that we can investigate the issue.
Alternatively, you can create a technical service request at http://www.mathworks.com/support/servicerequests/index.html and send us the above details over the request.
Tom Kristian Hoffmann
Tom Kristian Hoffmann 2023-4-12
Hi,
you can find the code here and a hooksiel.mat file that includes all important data. The HOOKSIEL_201910_202204.csv is too large (85 MB)
clear all; close all; clear
% Source Info
% Aktualisiert: 10.05.2022 | Aufnahmestart: 10.07.1994 | Aufnahmeende: 01.04.2022
% Bemerkung: Aktuelle Messwerte und Stammdaten: {http://www.pegelonline.wsv.de/gast/stammdaten?pegelnr=9460040}
% Source: Wasserstand (Ganglinie) Mess-Station LEUCHTTURM ALTE WESER, Wasserstraßen-
% und Schifffahrtsverwaltung des Bundes, www.kuestendaten.de, 03.08.2023
% Load Data --> Water Level
cd('C:\Users\root\Desktop\UAV_paper\Results\wetter'); % Path
table_watLev = readtable('HOOKSIEL_201910_202204.csv'); % August 1997 - 30th of April 2022, Water Temperature
load('hooksiel.mat')
date_int.Format = 'yyyyMMddHHmm';
dt = datetime(date_int, 'InputFormat', 'dd-MM-yyyy HH:mm:ss');
dt.Format = 'yyyyMMddHHmm';
formatOut= 'yyyy mmmm';
MThw = 664 -504;
MTnw = 329 -504;
stormTide = MThw*1.5; % According to BSH (Gerber et al (2016))
rH_LUFI = -10.2;
rH_ceiling = 9.3;% 55% AIR EXPOSURE
rH_bottom = -111; % Lower boundary of oyster occurence
%% Weather Data
cd('C:\Users\root\Desktop\UAV_paper\Results\wetter'); % Path
airTemp_Table = readtable('Wangerland_Airtemp.txt'); % Air temperature between August 2017 April 2022
windSpeed = readtable('Bremerhaven_Windspeed_20190901_20220531'); % 1st September 2019 - 31st of May 2022. 6 hour
AirTemp = airTemp_Table.Wert;
air_dt = datetime(airTemp_Table.Zeitstempel, 'InputFormat', 'yyyy-MM-ddTHH:mm:ss');
air_dt.Format = 'yyyyMMddHHmm';
formatOut= 'yyyy mmmm';
%% Water temperature
watTemp = readtable('bhv_alte_weser_leuchtturm!Wassertemperatur'); % August 1997 - 30th of April 2022, Water Temperature
temp = watTemp.WassertemperaturIn__C_;
temp(end-1:end) = [];
date_int =(watTemp.Datum_Uhrzeit);
date_int.Format = 'yyyyMMddHHmm';
wat_dt = datetime(watTemp.Datum_Uhrzeit, 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
wat_dt (end-1:end) = [];
wat_dt.Format = 'yyyyMMddHHmm';
%% Plotten
figure()
yyaxis right
hWater=line(wat_dt , temp, 'Color','#696969','LineWidth',2) % Water temperature
hWater=line(wat_dt , temp, 'Color','#696969','LineWidth',2) % Water temperature
% hWater.Color(4)=0.5; % Transparency
hWater.LineStyle ='-';
hold on
hAir=line(air_dt, AirTemp, 'Color','#000000','LineWidth',2); % Air Temperature
% hAir.Color(4)=0.5; % Transparency
% uistack(htemp)
ax = gca;%ax.YAxis;
ax.YColor = '#000000'
ax.FontSize = 20;
ylabel('Temperature [C°]','fontsize',34,'FontWeight','normal')%,'Color','k')
ylim([-40,40])
yticks([-40:10:40])%
xlabel('Time [yyyy mm]','fontsize',34)
monthStart=datestr(dt(1), formatOut);
monthEnd=datestr(dt(end), formatOut);
% title(['Air Temperature from ',monthStart,' to ',monthEnd,', Bremerhaven.'])
grid
xtickformat('yyyy MMM')
xticks(datetime('01-Aug-2017') : calmonths(6): datetime('30-June-2022')) %
minSpawningTemp =18; % Minimum temperature for spawning
coldWaterTemp = 2; % Cold Water limit
hxl = yline(minSpawningTemp,'LineStyle','--','Label','18°','Color','#696969','LabelHorizontalAlignment','right','LineWidth',4); % 'LabelVerticalAlignment','middle',
hxl.FontSize = 34;
% xlim([t(1)- calmonths(9) t(end)+calmonths(9)]) % adding space to left and right --> +/- calmonths
yyaxis left
pwatLev=plot(dt, watLev, 'Color','#295e8d','LineWidth',2) % Plot Water Level
hold on
pwatLev.Color(4)=0.4; % Transparency
pwatLev.LineStyle ='-';
ax = gca;%ax.YAxis;
ax.YColor = '#295e8d'
xlabel('Time [yyyy mm]','fontsize',34)
monthStart=datestr(dt(1), formatOut);
monthEnd=datestr(dt(end), formatOut);
grid
xtickformat('yyyy MMM')
% xticks(datetime('01-Jan-2020') : calmonths(6): datetime('31-July-2022')) %
xticks(datetime('01-Jan-2020') : calmonths(3): datetime('31-July-2022')) %
xticks; % for measurement events
xlim([datetime('01-Jan-2020') datetime('31-March-2022')])
ylim([-400,400])
yticks([-400:100:400])%
ytickformat('%,g');
ylabel('Water Level [m NHN]','fontsize',34,'FontWeight','normal')%,'Color')%,'k')
set(gca, 'TickDir', 'out');
set(gca, 'YGrid', 'on', 'XGrid','off');
box off
%% Inundation
% Bestimmung der Positionen des up- und down-crossings (externe Funktion)
lvl_airExp = rH_LUFI; %
lvl_airExp = -36.8;
zeroShift = watLev(:,1)-lvl_airExp;
[upcrossings, downcrossings]=zerocross_position(zeroShift); % Shifting the zero level down to lvl_airExp
time_Upcrossing= dt(upcrossings);
time_Downcrossing = dt(downcrossings);
duration.up = upcrossings;
duration.down = downcrossings;
i=1;
for i=1:length(upcrossings)
duration.diff(i,:)=diff([dt(upcrossings(i)), dt(downcrossings(i+1))]);
if i>=length(upcrossings)-1
break
end
end
[sortedDiff, ind]=sort(duration.diff, 'descend');
i=1;
for i=1:length(sortedDiff)
if hours(sortedDiff(i)) >= 10
inundation(i,1) = duration.up(ind(i)); % Index for upcrossing
inundation(i,2) = duration.down(ind(i)+1); % Index for downcrossing
inundationTime(i,1) = time_Upcrossing(ind(i)); % Start Time when inundated
inundationTime(i,2) = time_Downcrossing(ind(i)+1); % End Time Time when inundated
else
break
end
end
date_limit = datetime((['2021-01-01 00:00:01']), 'InputFormat', 'yyyy-MM-dd HH:mm:ss'); % Limiting the window of observation
k=1;
y=[0,0];
i=1;
for i=1:length(inundationTime(:,1))
x=[inundationTime(i,1), inundationTime(i,2)]';
% hline=line(x,y,'Color','#e54f4c','LineStyle','--','LineWidth',100)
hline=line(x,y,'Color','#f1a340','LineStyle','-','LineWidth',500);
if inundationTime(i,1) > date_limit
inun_Duration.start(k) = inundationTime(i,1);
inun_Duration.end(k) = inundationTime(i,2);
inun_Duration.time(k) = between(datetime(inundationTime(i,1),'Format', 'dd-MMM-yyyy HH:mm:ss'), datetime(inundationTime(i,2),'Format', 'dd-MMM-yyyy HH:mm:ss'), 'Time'); % Duration of the inundation after 01-Jan-2021
k=k+1;
end
end
%% Air exposure time
i=1;
for i=1:length(upcrossings)
duration.diffExp(i,:) = diff([dt(downcrossings(i)), dt(upcrossings(i))]);
if i>=length(upcrossings)-1
break
end
end
[sortedDiffExp, indExp]=sort(duration.diffExp, 'descend');
i=1;
for i=1:length(sortedDiffExp)
if hours(sortedDiffExp(i)) >= 10
inundationExp(i,1) = duration.down(indExp(i));
inundationExp(i,2) = duration.up(indExp(i));
inundationExpTime(i,1) = time_Downcrossing(indExp(i));
inundationExpTime(i,2) = time_Upcrossing(indExp(i));
else
break
end
end
k=1;
i=1;
for i=1:length(inundationExpTime(:,1))
% figure()
xExp=[inundationExpTime(i,1), inundationExpTime(i,2)]';
% hline=line(x,y,'Color','#e54f4c','LineStyle','--','LineWidth',100)
hline2=line(xExp,y,'Color','#925CA8','LineStyle','-','LineWidth',500);
if inundationExpTime(i,1) > date_limit
exp_Duration.start(k) = inundationExpTime(i,1);
exp_Duration.end(k) = inundationExpTime(i,2);
exp_Duration.time(k) = between(datetime(inundationExpTime(i,1),'Format', 'dd-MMM-yyyy HH:mm:ss'), datetime(inundationExpTime(i,2),'Format', 'dd-MMM-yyyy HH:mm:ss'), 'Time'); % Duration of the inundation after 01-Jan-2021
k=k+1;
end
end
%% Storm events
table_storm = readtable('StormNIce.txt');
table_storm.Day = num2str(table_storm.Day, '%02.0f');
table_storm.Month=num2str(table_storm.Month, '%02.0f');
table_storm.Year=num2str(table_storm.Year);
stormDate = str2num([table_storm.Year table_storm.Month table_storm.Day]);
tStorm = datetime(stormDate,'ConvertFrom','yyyymmdd');
% set(lgd,'AutoUpdate','off')
pStorm = plot(tStorm, 200, '.r', 'markersize', 28, 'MarkerEdgeColor', 'r', 'MarkerFaceColor',[0.5,0.5,0.5]);
fp = 0;% Freezin point
hxl = yline(fp,'LineStyle','-','Label','0°','Color','#000000','FontSize',20,'LabelHorizontalAlignment','left','LineWidth',2,'LabelVerticalAlignment','bottom')
%% Title and legend
% title('Stressors','fontsize',34)
lgd = legend([hAir hWater pwatLev hline hline2 pStorm(1)], ...
'Air temperature [C°]','Water temperature [C°]' , 'Water level','Inundation > 10 h','Air exposure > 10 h', 'Storm event','', 'Location','southeast');
lgd.FontSize =20;
%% Plots of seasons
xlabel('Time [yyyy mm dd]','fontsize',34);
xtickformat('yyyy MMM dd');
% Winter Season 2020/21
xticks(datetime('01-Jan-2021') : calweeks(2): datetime('30-June-2021'));
xlim([datetime('15-Jan-2021') datetime('25-March-2021')]);
% Winter Season 2021/22
xticks(datetime('01-Jan-2022') : calweeks(2): datetime('30-June-2022'));
xlim([datetime('01-Jan-2022') datetime('25-March-2022')]);
hold off

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回答（1 个）

David Wilkinson
David Wilkinson 2023-4-22
编辑：David Wilkinson 2023-4-22
Hello,
I just experienced a similar issue using R2023a.
Similar to yourself, I was plotting a figure with a left and right y-axis, using yyaxis left and yyaxis right.
The issue arose when I exported using exportgraphics.
There was a small part of the graph showing outside the main axes, past the right y-axis label.
To remedy this, I did the following:
  • Set axis padding to be consistent for both the yyaxis left and yyaxis right plots (I used "axis tight")
  • Set the x limit accordingly after the above line, for each plot
yyaxis left
plot(your_data)
axis tight
xlim([0 1])
yyaxis right
plot(your_other_data)
axis tight
xlim([-4 12])
exportgraphics(gcf,"test.png")
I hope this fixes your issue.
All the best,
David
Edit: Whilst I thought this fixed it, it appears having any xlim on a dual y-axis plot causes the issue...
  3 个评论
显示 1更早的评论
David Wilkinson
David Wilkinson 2023-4-26
Interestingly, I am seeing the issue with just
exportgraphics(gcf,"test.png")
There doesn't seem to be an explainable pattern here...

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