Matlab 如何在没有直方图的情况下绘制数据的分布
我有数据，我想在Matlab中显示它们的分布。你能帮我画一下吗？我不想拟合正态分布。在下面，我有直方图和一个适合它们的法线Matlab 如何在没有直方图的情况下绘制数据的分布,matlab,histogram,distribution,Matlab,Histogram,Distribution,我有数据，我想在Matlab中显示它们的分布。你能帮我画一下吗？我不想拟合正态分布。在下面，我有直方图和一个适合它们的法线 data = [1243.66361214496 1243.52480651719 1243.65867190219 1243.50894451745 1243.66201545850 1243.51116213754 1243.50965898634 1243.51057677366 1243.51242552229
data = [1243.66361214496 1243.52480651719 1243.65867190219 1243.50894451745 1243.66201545850 1243.51116213754 1243.50965898634 1243.51057677366 1243.51242552229 1243.50907384203 1243.52631256666 1243.52607543501 1243.00404027600 1243.00369742316 1243.00355228980 1243.00335204530 1243.00311985389 1243.00324950781 1243.00315333775 1243.00358313887 1243.00377624747 1243.00374473970 1243.00354021365 1243.00385024133 1243.00405542608 1243.00212044058 1243.00360697939 1243.71251571790 1243.25308937922 1243.25312521245 1243.25310045634 1243.25304011951 1243.25325794601 1243.25303969136 1243.25307359240 1243.25305166870 1243.25325374132 1243.25322405595 1243.25320683097 1243.25322773368 1243.25324186278 1243.25303293969 1243.25303986701 1243.25304490606 1243.25305894733 1243.25307537089 1243.25309133336 1243.25310870106 1243.25310356321 1243.25308940118 1243.25308880835 1243.25308941216 1243.25308292397 1243.25307002445 1243.25305111979 1243.25303469622 1243.25303231393 1243.25303370817 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disdata = histfit(data)
hist（）hist（）。可以根据您的喜好使用任意一种方法更改箱子的数量。
方法2：使用循环和手动递增存储箱
两个嵌套循环也可用于生成直方图数据。内部循环扫描数据集并检查它是否在相应的bin中。外部for循环控制要为哪个箱子过滤数据。
%手动查找直方图%
数据=[1243.66361214496 1243.52480651719 1243.65867190219 1243.50894451745 1243.66201545850 1243.51116213754 1243.50965898634 1243.51057677366 1243.51242552229 1243.50907384203 1243.52631256666 1243.52607543501 1243.00404027600 1243.00369742316 1243.00355228980 1243.00335204530 1243.00311985389 1243.00324950781 1243.00315333775 1243.00358313887 1243.00377624747 1243.00374473970 1243.00354021365 1243.00385024133 1243.00405542608 1243.00212044058 1243.00360697939 1243.71251571790 1243.25308937922 1243.25312521245 1243.25310045634 1243.25304011951 1243.25325794601 1243.25303969136 1243.25307359240 1243.25305166870 1243.25325374132 1243.25322405595 1243.25320683097 1243.25322773368 1243.25324186278 1243.25303293969 1243.25303986701 1243.25304490606 1243.25305894733 1243.25307537089 1243.25309133336 1243.25310870106 1243.25310356321 1243.25308940118 1243.25308880835 1243.25308941216 1243.25308292397 1243.25307002445 1243.25305111979 1243.25303469622 1243.25303231393 1243.25303370817 1243.25325823145 1243.25325363153 1243.25306793857 1243.25306418398 1243.25304784825 1243.25305293121 1243.25306341550 1243.25309481349 1243.25316685321 1243.25314655430 1243.25309024651 1243.28026133845 1243.27894503821 1243.28290381941 1243.28113850600 1243.28143821406 1243.27830610014 1243.29804239196 1243.28006812007 1243.27946650828 1243.27726974700 1243.27728072531 1243.28316949469 1243.28364266017 1243.28297078715 1243.28266998126 1243.27881659190 1243.28134050704 1243.28550348494 1243.28356471411 1243.28187405325 1243.28273804682 1243.28144370322 1243.27771436884 1243.27953018252 1243.28072901476 1243.27659128699 1243.27696345194 1243.29757800914 1243.29629683951 1243.29708288703 1243.29783709742 1243.29687210334 1243.29490808238 1243.29356543418 1243.29154761947 1243.29338648761 1243.29717290923 1243.27758153121 1243.27860031905 1243.27768582522 1243.28075646056 1243.28593054148 1243.28297517848 1243.28113301684 1243.28145029021 1243.28234172957 1243.28415095625 1243.28424207629 1243.28248554553 1243.28002969596 1243.27874852633 1243.29849140513 1243.29337770495 1243.27640355776 1243.27981561877 1243.27897907099 1243.29881087417 1243.29164752215 1243.28596185164 1243.29393101214 1243.27773961897 1243.29585770682 1243.27721814890 1243.29592796805 1243.27940942103 1243.27942479067 1243.29387282706 1243.29321412803 1247.56159191513 1247.38473122406 1247.04209794235 1246.41106426621 1245.65290167618 1244.87914987564 1244.87047700501 1244.76629277420 1245.03284631729 1245.53883695984 1247.49023285294 1243.29029609130 1243.28107759829 1245.05557143402 1243.20995856603 1243.27324162674 1243.21427137601 1243.27776315649 1245.08071178055 1243.28612902946 1245.11979459000 1243.29815028686 1243.27802703132 1243.56634601056 1243.28581065826 1246.29249843979 1244.72347733688 1247.34246470261 1243.27985900508 1243.28423825583 1243.28552820811 1247.73812325668 1246.92473973084 1246.02210248566 1245.31158579254 1243.20771073361 1243.28957622108 1243.65076927029 1243.60564838635 1243.65230623471 1243.27830148925 1243.28261596794 1243.28023367309 1243.27866377372 1243.27860888214 1243.29780995902 1245.07050194550 1246.42489694595 1244.78956680679 1247.41470203018 1243.28413286399 1243.28732865214 1243.28903029132 1243.28001928851 1247.54424617386 1247.01860434341 1246.40392835999 1245.55607291794 1244.82436807251 1243.29167141097 1243.28971893920 1243.28699631652 1243.29654745254 1243.28181288207 1243.27905732444 1243.28645837898 1243.71257719647 1243.69709776913 1243.70094018018 1243.27603995590 1243.28148520126 1243.29228786544 1243.28135179275 1243.29002633209 1243.27853203391 1243.27966280059 1243.28181455078 1243.28257205467 1243.28102411193 1243.28110096015 1243.28604120292 1243.29498853149 1243.29017835982 1243.63117780444 1244.75454597473 1244.87475854874 1244.85444866180 1243.66586928699 1243.28855356887 1243.29290265121 1243.28642544402 1243.28151813621 1243.27933345107 1243.27788431320 1243.27827953262 1243.28197922553 1243.28817099647 1243.29270504150 1243.29273797645 1243.28575576667 1243.28462499999 1243.27844420738 1243.27697311286 1243.69094991147 1243.21467713461 1243.20754122839 1243.22927829657 1243.21895867834 1243.69918364941 1243.27681941642 1243.27802703132 1243.27966280059 1243.28274770774 1243.28114487342 1243.28462499999 1243.28170476760 1243.28407608413 1243.28195726890 1243.2879953
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1243.28813806152 1243.28845643272 1243.28720490455 1243.28833567123 1243.29101438064 1243.27728981536 1243.29251674140 1243.61108748386 1244.63641928101];
Number_Of_Bins = 70;
[Counts,Centres] = hist(Data,Number_Of_Bins);
Probabilities = Counts./length(Data);
plot(Centres,Probabilities);
title("Probability Graph");
xlabel("Data Value"); ylabel("Probabilities");
grid;
%Checking that probabilities add to 1%
sum(Probabilities)
%Manually finding histogram%
Data = [1243.66361214496 1243.52480651719 1243.65867190219 1243.50894451745 1243.66201545850 1243.51116213754 1243.50965898634 1243.51057677366 1243.51242552229 1243.50907384203 1243.52631256666 1243.52607543501 1243.00404027600 1243.00369742316 1243.00355228980 1243.00335204530 1243.00311985389 1243.00324950781 1243.00315333775 1243.00358313887 1243.00377624747 1243.00374473970 1243.00354021365 1243.00385024133 1243.00405542608 1243.00212044058 1243.00360697939 1243.71251571790 1243.25308937922 1243.25312521245 1243.25310045634 1243.25304011951 1243.25325794601 1243.25303969136 1243.25307359240 1243.25305166870 1243.25325374132 1243.25322405595 1243.25320683097 1243.25322773368 1243.25324186278 1243.25303293969 1243.25303986701 1243.25304490606 1243.25305894733 1243.25307537089 1243.25309133336 1243.25310870106 1243.25310356321 1243.25308940118 1243.25308880835 1243.25308941216 1243.25308292397 1243.25307002445 1243.25305111979 1243.25303469622 1243.25303231393 1243.25303370817 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1243.43742578661 1243.57211445758 1243.60153634784 1243.65697685001 1244.63740732956 1244.71985449219 1244.77683195877 1244.73555348587 1243.45506890854 1243.59813306949 1243.55487849948 1243.29665556701 1243.28843280738 1243.28271310409 1243.29763430595 1243.29460429038 1243.29762332763 1243.29456037712 1243.29626201629 1243.27813514579 1243.28554550994 1243.28908052810 1243.29462457831 1243.49504667041 1243.60318309543 1244.64673889923 1244.76014491653 1244.88946949387 1245.00024071503 1245.07478348923 1245.04514203262 1244.93766430664 1244.82118436050 1243.44683517059 1243.43863340151 1243.28192266524 1243.28365890807 1243.65109861981 1243.61366255795 1243.65142796933 1243.63034960019 1243.65790517651 1243.27776355171 1243.29145351333 1243.27945254386 1243.28426104682 1243.28850965560 1243.29623839095 1243.52271202991 1243.60779398868 1243.64094850681 1243.57222424075 1243.28572116302 1243.29243058357 1243.28000312843 1243.66580956494 1243.57743411099 1243.50805114590 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1243.28813806152 1243.28845643272 1243.28720490455 1243.28833567123 1243.29101438064 1243.27728981536 1243.29251674140 1243.61108748386 1244.63641928101];
Number_Of_Bins = 70;
Count_Array = zeros(1,Number_Of_Bins);
Bin_Array = zeros(1,Number_Of_Bins);
Number_Of_Data_Points = length(Data);
Minimum_Value = min(Data,[],'all');
Maximum_Value = max(Data,[],'all');
Range = Maximum_Value - Minimum_Value;
Bin_Interval = Range/Number_Of_Bins;
for Bin_Index = 1: +1: Number_Of_Bins
Bin_Start_Edge = Minimum_Value + ((Bin_Index-1)*Bin_Interval);
Bin_End_Edge = Minimum_Value + ((Bin_Index)*Bin_Interval);
Bin_Array(1,Bin_Index) = (Bin_Start_Edge+Bin_Start_Edge)/2;
for Data_Index = 1: +1: Number_Of_Data_Points
Data_Value = Data(1,Data_Index);
if((Data_Value >= Bin_Start_Edge) && (Data_Value <= Bin_End_Edge))
Count_Array(1,Bin_Index) = Count_Array(1,Bin_Index) + 1;
end
end
end
Probabilities = Count_Array./length(Data);
plot(Bin_Array,Probabilities)
title("Probability Graph");
xlabel("Data Value"); ylabel("Probabilities");
grid;
%Checking that the probabilities add to 1%
sum(Probabilities,'all')