probem with FaceColor of bar
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
mohamed gryaa
am 30 Sep. 2019
Kommentiert: darova
am 4 Okt. 2019
R=[0.779810425627480 0.000659297275251825 0.688360393160301 0.184532497610895 0.0905962113611394 0.0626722269195076 0.115760244765211 9.82482188727207e-06]
R2=[0.780896183843548 0.783089437325240 0.824384828931732 0.783480655246833 0.782324163937975 0.843400789787716 0.780259820660027 0.692761472581375 0.186630591612089 0.112331622540645 0.0684118151132265 0.124754260377728 0.000750940658416743 0.786209417062528 0.696211586340910 0.704468853008563 0.793533655775326 0.689231222654964 0.247394539787509 0.259526400351099 0.187357565089202 0.306685869655797 0.221985207424738 0.213936150337528 0.0911810803863357 0.226392210021089 0.0628097955366125 0.177330398333869]
R3=[0.783714743066040 0.826211863604426 0.783570491492865 0.784235776628874 0.846564931503649 0.781795435841793 0.824795480225099 0.793293977502063 0.807394055917125 0.843543223850931 0.784225204506264 0.828604905652616 0.830131797565598 0.845605618105580 0.866367812401167 0.784125887674771 0.844962871032082 0.783775317173255 0.857006696649914 0.782646132825257 0.886525345744327 0.792443729599900 0.707602204791307 0.706291944439437 0.795689075333992 0.692960273475268 0.269367754096017 0.269897642276868 0.187804460375981 0.338233654026156 0.308011853235251 0.214628124374582 0.117141128901629 0.229057283333948 0.0684491039966618 0.183900696434232 0.789982210441524 0.793671406033401 0.807345796487103 0.835447142202684 0.705376496011716 0.804011717368906 0.696706432568307 0.795703083661133 0.705025556256066 0.832447316043765 0.383708291936295 0.256938376298548 0.368132130189507 0.275653288847231 0.375594581589765 0.328508421589727 0.426445219789627 0.222082122851731 0.295080637436694 0.303500075279901]
R4=[0.826996774935897 0.794557334602349 0.809619574536623 0.846642577477218 0.785322675618129 0.828939025798648 0.833675796861419 0.847202474959195 0.881468153988862 0.784703824104669 0.851106275596922 0.784004921796498 0.858781120350036 0.785070083916637 0.888559577339896 0.828833804725073 0.834955475482176 0.846195401779085 0.867140402842741 0.813983848871127 0.845075441261779 0.794705445368061 0.872508246817512 0.810962400206204 0.886525524768893 0.831303117637229 0.847642143194423 0.868934285031242 0.858409734520770 0.872566944267203 0.906757870765131 0.857428757371442 0.784387451549559 0.886620441089954 0.905697241656523 0.801922541124688 0.797636506176264 0.807358981738157 0.862781849694327 0.710334094086818 0.804080272956492 0.707686352900283 0.798434388040983 0.706487674364295 0.833750942309195 0.471755923663536 0.270095621013156 0.456472753439997 0.277630257351045 0.430498750484947 0.343336309036551 0.454955851249911 0.317945379843094 0.298347039374467 0.304574520635417 0.794166474258310 0.814390776564570 0.840239456373557 0.810347726332535 0.841150193698107 0.877516625338572 0.804070982436114 0.705841896439888 0.849259411824625 0.832907343342206 0.437358816488236 0.495244980869643 0.405878538783720 0.424820970524598 0.547495448988831]
R5=[0.828991929369686 0.838411193709899 0.847498079098537 0.884286848091013 0.813984689455561 0.852689268734507 0.795461615160834 0.873675836205425 0.815033194461026 0.888567443766334 0.833676221089556 0.851532466108260 0.881503316538568 0.859249568891160 0.893364109834186 0.907586430555856 0.858785564028645 0.785320228500511 0.889516792068951 0.906442600699576 0.838035644265987 0.847642955904863 0.868937970747267 0.873278896824283 0.876253552968026 0.908008036718245 0.872689586925684 0.817720580546422 0.886663386046064 0.937203366812540 0.858609315682532 0.872839144872220 0.907099734481859 0.924204051669980 0.910846971035114 0.802163827732857 0.815595411648910 0.884996077524746 0.810350740286317 0.864252213958193 0.883287964927457 0.804103360669447 0.710335861966019 0.849504374181575 0.834436602026480 0.484612221304780 0.704965265425382 0.460974241930084 0.447415007134505 0.598056626502316 0.814518098488400 0.842523239334591 0.888286770499680 0.878177732084617 0.852719060026541 0.604403396129531]
R6=[0.839071360465035 0.852704784532168 0.887822544505265 0.876021378692969 0.896575199509569 0.909363801082844 0.875080432727216 0.818093523631484 0.890239643298577 0.937369178243077 0.859250167086107 0.903297054324622 0.907629634392680 0.926273966668406 0.911091067394923 0.873423351158586 0.877473297910146 0.908008113026594 0.941060841208969 0.938200096744872 0.927636099224910 0.815597023464531 0.891134879647912 0.903795572804284 0.883537686178393 0.854841118650416 0.733815636601844 0.889727749438983]
R7=[0.878642031246962 0.903669866631326 0.910417834781449 0.941547570214469 0.938233123072641 0.937500290384948 0.942085824188201 0.914574284340743]
R8=[0.945329036585856]
R_all = [R R2 R3 R4 R5 R6 R7 R8];
label_all = [label,label2,label3,label4,label5,label6,label7,label8];
[R_all_sort,ind_sort] = sort(R_all,'descend');
label_all_sort = label_all(ind_sort);
threshold = 0.95;
logical_index = R_all_sort>=threshold;
N_true = length(find(logical_index));
figure
hall=bar(R_all_sort(logical_index));
hold on
grid on
xlabel('metriche lavatrice');
ylabel('R^2 lavatrice ');
ax=gca;
ax.XTick = 1:N_true;
ax.XTickLabels = label_all_sort(logical_index);
ax.XTickLabelRotation = 90;
legend({'soggettività:lavatrice' });
ylim([threshold 1]);
hi i have a problem, i need to have differet color when i plot the figure bar (Facecolor) like this:
R = red
R2= green
R3= white
R4 =cyan
R5=blue
R6=yellow
R7=black
R8= magenta
1 Kommentar
dpb
am 30 Sep. 2019
threshold = 0.95;
logical_index = R_all_sort>=threshold;
...
>> sum(logical_index)
ans =
0
>> max(R_all)
ans =
0.9453
>>
There are no elements above the threshold so nothing will show up on the plot.
Also, you've mixed all elements up in combining into one long vector and then sorted that vector so there's no identification from which element any particular value came.
Would need to define corollary array of group number to carry along.
Akzeptierte Antwort
darova
am 30 Sep. 2019
One way:
R=[0.779810425627480 0.000659297275251825 0.688360393160301 0.184532497610895 0.0905962113611394 0.0626722269195076 0.115760244765211 9.82482188727207e-06];
R2=[0.780896183843548 0.783089437325240 0.824384828931732 0.783480655246833 0.782324163937975 0.843400789787716 0.780259820660027 0.692761472581375 0.186630591612089 0.112331622540645 0.0684118151132265 0.124754260377728 0.000750940658416743 0.786209417062528 0.696211586340910 0.704468853008563 0.793533655775326 0.689231222654964 0.247394539787509 0.259526400351099 0.187357565089202 0.306685869655797 0.221985207424738 0.213936150337528 0.0911810803863357 0.226392210021089 0.0628097955366125 0.177330398333869];
R3=[0.783714743066040 0.826211863604426 0.783570491492865 0.784235776628874 0.846564931503649 0.781795435841793 0.824795480225099 0.793293977502063 0.807394055917125 0.843543223850931 0.784225204506264 0.828604905652616 0.830131797565598 0.845605618105580 0.866367812401167 0.784125887674771 0.844962871032082 0.783775317173255 0.857006696649914 0.782646132825257 0.886525345744327 0.792443729599900 0.707602204791307 0.706291944439437 0.795689075333992 0.692960273475268 0.269367754096017 0.269897642276868 0.187804460375981 0.338233654026156 0.308011853235251 0.214628124374582 0.117141128901629 0.229057283333948 0.0684491039966618 0.183900696434232 0.789982210441524 0.793671406033401 0.807345796487103 0.835447142202684 0.705376496011716 0.804011717368906 0.696706432568307 0.795703083661133 0.705025556256066 0.832447316043765 0.383708291936295 0.256938376298548 0.368132130189507 0.275653288847231 0.375594581589765 0.328508421589727 0.426445219789627 0.222082122851731 0.295080637436694 0.303500075279901];
R4=[0.826996774935897 0.794557334602349 0.809619574536623 0.846642577477218 0.785322675618129 0.828939025798648 0.833675796861419 0.847202474959195 0.881468153988862 0.784703824104669 0.851106275596922 0.784004921796498 0.858781120350036 0.785070083916637 0.888559577339896 0.828833804725073 0.834955475482176 0.846195401779085 0.867140402842741 0.813983848871127 0.845075441261779 0.794705445368061 0.872508246817512 0.810962400206204 0.886525524768893 0.831303117637229 0.847642143194423 0.868934285031242 0.858409734520770 0.872566944267203 0.906757870765131 0.857428757371442 0.784387451549559 0.886620441089954 0.905697241656523 0.801922541124688 0.797636506176264 0.807358981738157 0.862781849694327 0.710334094086818 0.804080272956492 0.707686352900283 0.798434388040983 0.706487674364295 0.833750942309195 0.471755923663536 0.270095621013156 0.456472753439997 0.277630257351045 0.430498750484947 0.343336309036551 0.454955851249911 0.317945379843094 0.298347039374467 0.304574520635417 0.794166474258310 0.814390776564570 0.840239456373557 0.810347726332535 0.841150193698107 0.877516625338572 0.804070982436114 0.705841896439888 0.849259411824625 0.832907343342206 0.437358816488236 0.495244980869643 0.405878538783720 0.424820970524598 0.547495448988831];
R5=[0.828991929369686 0.838411193709899 0.847498079098537 0.884286848091013 0.813984689455561 0.852689268734507 0.795461615160834 0.873675836205425 0.815033194461026 0.888567443766334 0.833676221089556 0.851532466108260 0.881503316538568 0.859249568891160 0.893364109834186 0.907586430555856 0.858785564028645 0.785320228500511 0.889516792068951 0.906442600699576 0.838035644265987 0.847642955904863 0.868937970747267 0.873278896824283 0.876253552968026 0.908008036718245 0.872689586925684 0.817720580546422 0.886663386046064 0.937203366812540 0.858609315682532 0.872839144872220 0.907099734481859 0.924204051669980 0.910846971035114 0.802163827732857 0.815595411648910 0.884996077524746 0.810350740286317 0.864252213958193 0.883287964927457 0.804103360669447 0.710335861966019 0.849504374181575 0.834436602026480 0.484612221304780 0.704965265425382 0.460974241930084 0.447415007134505 0.598056626502316 0.814518098488400 0.842523239334591 0.888286770499680 0.878177732084617 0.852719060026541 0.604403396129531];
R6=[0.839071360465035 0.852704784532168 0.887822544505265 0.876021378692969 0.896575199509569 0.909363801082844 0.875080432727216 0.818093523631484 0.890239643298577 0.937369178243077 0.859250167086107 0.903297054324622 0.907629634392680 0.926273966668406 0.911091067394923 0.873423351158586 0.877473297910146 0.908008113026594 0.941060841208969 0.938200096744872 0.927636099224910 0.815597023464531 0.891134879647912 0.903795572804284 0.883537686178393 0.854841118650416 0.733815636601844 0.889727749438983];
R7=[0.878642031246962 0.903669866631326 0.910417834781449 0.941547570214469 0.938233123072641 0.937500290384948 0.942085824188201 0.914574284340743];
R8=[0.945329036585856];
R_all = [R R2 R3 R4 R5 R6 R7 R8];
color_ind = [R*0+1 R2*0+2 R3*0+3 R4*0+4 R5*0+5 R6*0+6 R7*0+7 R8*0+8];
cm = 'rgwcbykm'; % reg green white ...
[R_all_sort,ind_sort] = sort(R_all,'descend');
color_sort = color_ind(ind_sort);
threshold = 0.95;
ind1 = find( R_all_sort<=threshold );
cla
hold on
for i = ind1
h = bar(ind1(i),R_all_sort(i));
set(h,'EdgeColor','none','FaceColor',cm(color_sort(i)))
end
hold off
But works slow. Any idea of how speed it up?
6 Kommentare
Weitere Antworten (1)
dpb
am 30 Sep. 2019
Bearbeitet: dpb
am 30 Sep. 2019
Carrying on from the above after defining data...
clrs=[[1 0 0];[0 1 0];[1 1 1];[0 1 1];[0 0 1];[1 1 0];[0 0 0];[1 0 1]]; % rgb for named colors
R1=R; % just for symmetry in naming
G=[1+R1*0 2+R2*0 3+R3*0 4+R4*0 5+R5*0 6+R6*0 7+R7*0 8+R8*0];
threshold=0.925; % 0.95 > max() --> no elements selected
ix=(R_all>=threshold);
R=R_all(ix);
[~,isort]=sort(R,'descend');
hBar=bar(R(isort));
hBar.FaceColor='flat';
hBar.CData=clrs(isort(G),:);
returns
Siehe auch
Kategorien
Mehr zu Graphics Object Programming finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!