shade the area between curves

Hi,

I am using this code to plot a 2D contour, and I want to shade the area between curves with a colormap like this image:

but I don't know how to do the coloring.

% Define the data as column vectors
x1 = [0.001 0.055178	0.06313	0.071457	0.072486	0.089794	0.099338	0.099518	0.107103	0.118855	0.124411	0.125517	0.128497	0.13175	0.135906	0.141719	0.150846	0.15241	0.156181	0.157533	0.158274	0.159027	0.159401	0.16144	0.162639	0.165307	0.168928	0.172294	0.175054	0.176336	0.182226	0.185355	0.185536	0.191781	0.193506	0.193644	0.197095	0.198207	0.202355	0.204761	0.205134	0.208682	0.210952	0.212751	0.220447	0.22069	0.221403	0.221453	0.221925	0.22572	0.22871	0.230831	0.234085	0.236656	0.240381	0.240835	0.241339	0.242576	0.24507	0.245467	0.24718	0.247336	0.247423	0.253863	0.257667	0.257705	0.259344	0.259667	0.263066	0.268156	0.268795	0.276218	0.277545	0.279455	0.281458	0.283235	0.28604	0.289053	0.294753	0.296227	0.297899	0.299146	0.299616	0.301713	0.302892	0.304464	0.305372	0.305482	0.306944	0.309859	0.31375	0.314905	0.315665	0.315779	0.317846	0.319689	0.324048	0.325627	0.326089	0.327027	0.331245	0.333333	0.338463	0.342653	0.342807	0.349956	0.352732	0.354153	0.354233	0.355341	0.356656	0.35688	0.358447	0.362536	0.363001	0.363558	0.368943	0.369582	0.371092	0.372143	0.37645	0.378771	0.380077	0.380132	0.386161	0.388196	0.390385	0.390621	0.394247	0.394902	0.397471	0.403842	0.405788	0.407323	0.407819	0.408389	0.409127	0.409406	0.411797	0.413571	0.413658	0.413696	0.414003	0.414189	0.417457	0.421655	0.422367	0.424452	0.429382	0.430105	0.434463	0.440018	0.441304	0.445382	0.451221	0.453531	0.454651	0.454782	0.456277	0.456479	0.458572	0.459897	0.466861	0.468297	0.469559	0.470736	0.474025	0.479057	0.479936	0.481312	0.482516	0.482945	0.48406	0.485458	0.485948	0.48662	0.492267	0.494778	0.497505	0.503147	0.503219	0.507627	0.510118	0.510454	0.511309	0.511405	0.512066	0.513327	0.513586	0.515487	0.518519	0.520509	0.525114	0.527776	0.529244	0.539464	0.540359	0.543858	0.550018	0.552908	0.555301	0.55558	0.557271	0.558072	0.559789	0.561135	0.562914	0.565456	0.566109	0.567729	0.573592	0.574495	0.58067	0.58089	0.583212	0.584816	0.590287	0.593941	0.595635	0.596314	0.596888	0.601096	0.601597	0.602476	0.602597	0.612288	0.613492	0.615389	0.622848	0.626066	0.627451	0.629291	0.633198	0.633503	0.636225	0.638458	0.641466	0.644916	0.646269	0.646867	0.647681	0.651326	0.652286	0.656379	0.656401	0.658334	0.668357	0.669856	0.670761	0.678888	0.688307	0.691781	0.692401	0.692511	0.695566	0.698851	0.700808	0.701974	0.70328	0.705366	0.708325	0.712692	0.715572	0.715675	0.721762	0.726429	0.727178	0.728424	0.745073	0.745888	0.746717	0.751663	0.752354	0.760589	0.763589	0.764446	0.77281	0.772814	0.776925	0.777269	0.784132	0.784184	0.786327	0.789535	0.792198	0.800469	0.80659	0.808276	0.816791	0.817857	0.82907	0.83045	0.831508	0.833217	0.833744	0.836159	0.836491	0.851259	0.858238	0.872514	0.876261	0.878046	0.883505	0.884347	0.885493	0.88675	0.888719	0.889479	0.89242	0.898408	0.904162	0.908536	0.92004	0.922416	0.928215	0.935837	0.944559	0.945448	0.969685	0.971511	0.977474	0.980582	0.982367	0.991934	0.994061	0.994775	1.009374	1.011088	1.012684	1.01385	1.017625	1.022223	1.032486	1.033449	1.03551	1.03964	1.040167	1.061826	1.080388	1.09976	1.10007	1.102629	1.1053	1.106862	1.107606	1.124406	1.12696	1.131094	1.138981	1.140703	1.144497	1.151065	1.166858	1.172552	1.177011	1.178204	1.223279	1.236448	1.241236	1.242214	1.248826	1.262489	1.264112	1.272031	1.292503	1.294582	1.298205	1.312618	1.336398	1.377382	1.377565	1.389242	1.40336	1.429553	1.439446	1.452684	1.453913	1.495785	1.59275	1.615322	1.642445	1.649464	1.655172	1.732815	1.845444	1.872881	1.921547	2.048443	2.193629
];
x2 = [0.001 0.024607	0.066225	0.072746	0.078309	0.081249	0.083032	0.090623	0.098684	0.100268	0.109493	0.11194	0.117734	0.122488	0.122677	0.127789	0.131579	0.13245	0.135955	0.142909	0.145108	0.145285	0.15061	0.155311	0.156716	0.162417	0.163934	0.167994	0.169242	0.170077	0.179094	0.179678	0.180129	0.181751	0.182367	0.182832	0.184028	0.188463	0.188879	0.190058	0.192868	0.196017	0.201361	0.201493	0.201934	0.203791	0.205608	0.209321	0.210354	0.210597	0.211343	0.215299	0.215341	0.215833	0.218347	0.218925	0.220369	0.220751	0.224405	0.225101	0.225146	0.229508	0.230832	0.231087	0.233001	0.233032	0.236679	0.237506	0.237875	0.241802	0.242826	0.243826	0.246269	0.248538	0.249918	0.254513	0.256565	0.258759	0.259503	0.260091	0.265396	0.266264	0.268264	0.269305	0.270585	0.27122	0.272259	0.273357	0.274119	0.279913	0.282044	0.283697	0.284734	0.286275	0.291045	0.291058	0.292918	0.29368	0.294726	0.294783	0.295082	0.298565	0.304935	0.306131	0.307018	0.307383	0.312975	0.315585	0.318251	0.318821	0.320439	0.321188	0.323767	0.326999	0.328995	0.330572	0.33286	0.334362	0.335821	0.337393	0.338649	0.339202	0.339912	0.344368	0.348501	0.350682	0.352221	0.353201	0.357251	0.359541	0.360656	0.365497	0.365701	0.369269	0.371681	0.372363	0.37241	0.372724	0.375276	0.37755	0.378076	0.380597	0.385027	0.38962	0.390559	0.393653	0.400919	0.40143	0.404002	0.404079	0.404807	0.406078	0.407683	0.410118	0.416132	0.418425	0.420322	0.423977	0.425373	0.42623	0.426784	0.427158	0.428228	0.429236	0.430322	0.430738	0.4321	0.435693	0.43628	0.439792	0.443976	0.445402	0.446883	0.450511	0.450547	0.463576	0.463635	0.464684	0.465093	0.465466	0.470149	0.470501	0.471856	0.473506	0.476239	0.476889	0.478293	0.48116	0.482456	0.486062	0.486358	0.488485	0.491803	0.49501	0.495707	0.496247	0.497726	0.499204	0.500157	0.500731	0.50726	0.508424	0.508714	0.508902	0.510534	0.510588	0.511288	0.512975	0.514013	0.51411	0.514925	0.51497	0.521042	0.521685	0.523269	0.52532	0.529502	0.529801	0.531753	0.537023	0.539735	0.540936	0.542887	0.547302	0.551602	0.552051	0.553739	0.557377	0.55824	0.558505	0.565361	0.57018	0.570521	0.572511	0.573951	0.574402	0.577199	0.578686	0.58114	0.582903	0.585703	0.586526	0.587688	0.588077	0.590495	0.590986	0.593538	0.595201	0.598842	0.599415	0.599713	0.601472	0.604403	0.611894	0.612469	0.612995	0.616612	0.622951	0.623483	0.624104	0.6249	0.625133	0.630508	0.635321	0.635688	0.638353	0.640773	0.641156	0.642237	0.642537	0.64381	0.651917	0.656538	0.657574	0.657803	0.657895	0.66155	0.662504	0.662592	0.664628	0.667863	0.66936	0.671199	0.684327	0.685283	0.687426	0.688525	0.693488	0.694229	0.694237	0.699265	0.699354	0.700905	0.701437	0.701545	0.70217	0.709776	0.710422	0.712133	0.712401	0.719113	0.726598	0.729928	0.735296	0.739305	0.741959	0.742729	0.743519	0.745329	0.749018	0.749952	0.754098	0.761804	0.764003	0.775479	0.777033	0.777706	0.780071	0.781388	0.783109	0.786987	0.789482	0.794702	0.798688	0.804032	0.807657	0.808577	0.810453	0.812478	0.817678	0.820831	0.822368	0.827458	0.838741	0.843644	0.845458	0.845672	0.854085	0.856721	0.866562	0.870204	0.874859	0.875005	0.879745	0.880684	0.882767	0.887421	0.891837	0.89583	0.898933	0.905077	0.905538	0.906627	0.910256	0.919861	0.921641	0.922004	0.932153	0.937531	0.937963	0.943643	0.945985	0.955621	0.956956	0.969648	0.972502	0.976404	0.976867	0.992324	0.992973	0.994051	1.000057	1.009222	1.015453	1.019205	1.025565	1.031146	1.03283	1.034771	1.043478	1.062583	1.06262	1.064436	1.06526	1.065784	1.068241	1.075487	1.082605	1.090115	1.100447	1.105336	1.111817	1.118977	1.125109	1.125828	1.142431	1.142952	1.144018	1.15719	1.158017	1.175946	1.187635	1.188805	1.188858	1.203236	1.212389	1.250775	1.255206	1.263554	1.286109	1.322055	1.339919	1.342944	1.343532	1.343852	1.396272	1.45162	1.486921	1.497031	1.536886	1.639687	1.651117	1.651787	1.733853	1.827753	1.93082	2.01582	2.127787	2.203886	2.324754
];
x3 = [0.001 0.054776	0.064066	0.073357	0.082647	0.091937	0.095594	0.101228	0.110518	0.119763	0.119809	0.125604	0.129099	0.138389	0.149511	0.152068	0.155615	0.160934	0.172697	0.173208	0.175357	0.178316	0.183413	0.185625	0.200918	0.202104	0.207122	0.211337	0.212743	0.215636	0.220245	0.229571	0.235927	0.240177	0.24121	0.242828	0.243275	0.245646	0.245746	0.246634	0.247318	0.247396	0.247396	0.247588	0.248269	0.254666	0.259835	0.264732	0.269966	0.275138	0.275657	0.277176	0.280849	0.283298	0.284445	0.288421	0.293538	0.29562	0.296942	0.304594	0.305667	0.305801	0.31495	0.316562	0.318713	0.319279	0.319821	0.320059	0.320729	0.322343	0.32277	0.325616	0.326137	0.326591	0.327745	0.332944	0.335678	0.336635	0.341024	0.34297	0.348955	0.351149	0.353707	0.355259	0.356598	0.365688	0.366787	0.377885	0.379893	0.379954	0.38179	0.38203	0.382312	0.390321	0.391239	0.393012	0.393485	0.39403	0.397037	0.399794	0.403386	0.405518	0.407957	0.40876	0.410472	0.411296	0.417062	0.418491	0.418604	0.422531	0.42308	0.424775	0.426404	0.42655	0.42722	0.434652	0.437672	0.4407	0.449128	0.449675	0.453753	0.45826	0.4632	0.463964	0.464514	0.466387	0.46691	0.467236	0.46733	0.476818	0.485023	0.485168	0.485261	0.490298	0.492324	0.492951	0.493613	0.49638	0.49918	0.500573	0.504039	0.512942	0.515834	0.517037	0.518415	0.518575	0.518935	0.524001	0.526218	0.527218	0.52828	0.532374	0.53449	0.536538	0.539356	0.540336	0.540631	0.545417	0.547416	0.552293	0.553275	0.553842	0.556527	0.561128	0.566524	0.576806	0.579129	0.579725	0.580766	0.582542	0.584399	0.589587	0.600421	0.605437	0.61072	0.612953	0.613751	0.613762	0.613932	0.621381	0.621908	0.626031	0.626699	0.627076	0.629304	0.630317	0.630866	0.634981	0.637531	0.638656	0.640834	0.644385	0.646526	0.647999	0.648549	0.65105	0.651762	0.657258	0.664512	0.665934	0.666564	0.668092	0.675135	0.679537	0.686695	0.686949	0.687187	0.687232	0.689488	0.690523	0.694295	0.696677	0.697481	0.700446	0.701145	0.705134	0.70789	0.709086	0.712912	0.713218	0.715536	0.717261	0.719124	0.724872	0.725844	0.744805	0.746481	0.75274	0.756514	0.757594	0.759519	0.760533	0.760613	0.760683	0.761479	0.762733	0.763179	0.765658	0.774882	0.783056	0.784914	0.786486	0.792933	0.79594	0.796119	0.799646	0.803509	0.804421	0.806867	0.809165	0.813657	0.824518	0.825658	0.825701	0.82845	0.829084	0.833833	0.834038	0.839409	0.839545	0.841061	0.84623	0.849018	0.853849	0.861937	0.862245	0.866502	0.870911	0.87222	0.87425	0.87902	0.884301	0.884632	0.889189	0.898714	0.899757	0.902793	0.906085	0.907134	0.908368	0.910419	0.915638	0.918113	0.925471	0.92635	0.927039	0.931778	0.934623	0.937317	0.937803	0.938961	0.940908	0.947778	0.953364	0.958514	0.961921	0.962634	0.972593	0.97649	0.980435	0.985125	0.985446	0.995092	0.996421	1.00653	1.007123	1.013156	1.017326	1.022546	1.024044	1.025284	1.036689	1.044822	1.04721	1.052651	1.052732	1.05317	1.073306	1.076349	1.081898	1.086478	1.090049	1.090427	1.09251	1.099961	1.113518	1.121231	1.121758	1.125098	1.127723	1.128429	1.129945	1.14554	1.146378	1.150171	1.164555	1.167382	1.174462	1.181856	1.185763	1.185842	1.188228	1.196466	1.199218	1.202467	1.210624	1.211988	1.216019	1.224911	1.226505	1.250328	1.252768	1.257337	1.27021	1.276379	1.280477	1.280882	1.287554	1.306454	1.318486	1.323285	1.345784	1.347641	1.350139	1.350671	1.352786	1.360501	1.368245	1.372226	1.37559	1.391974	1.393443	1.394042	1.407725	1.410348	1.411121	1.440007	1.458342	1.484259	1.484605	1.489353	1.491433	1.49235	1.494497	1.498412	1.50944	1.517874	1.527897	1.529549	1.534023	1.592055	1.599131	1.628492	1.633778	1.63884	1.638916	1.64778	1.648069	1.66438	1.671239	1.688733	1.699801	1.758255	1.831323	1.833038	1.837327	1.865578	1.867333	1.875581	1.884439	1.892862	1.994837	2.010273	2.031356	2.070591	2.095825	2.09699	2.117385	2.121098	2.156636
];

y1= [20, 26];
y2 = [25, 31];
y3 = [30, 45];

% Fit a lognormal distribution to the data
pd1 = fitdist(x1', 'Lognormal');
pd2 = fitdist(x2', 'Lognormal');
pd3 = fitdist(x3', 'Lognormal');

% Create a grid of x values using meshgrid
[X1, Y1] = meshgrid(x1 , y1);
[X2, Y2] = meshgrid(x2 , y2);
[X3, Y3] = meshgrid(x3 , y3);

% Compute the CDF at each point on the grid
Z1 = cdf(pd1, X1);
Z2 = cdf(pd2, X2);
Z3 = cdf(pd3, X3);


% Create a 2D plot with the x and z axis of the 3D plot
figure;
[C1, h1] = contour(X1, Z1, Y1);

%clabel(C1, h1);
hold on;
[C2, h2] = contour(X2, Z2, Y2);
%clabel(C2, h2);
[C3, h3] = contour(X3, Z3, Y3);
%clabel(C3, h3);
xlabel('X-axis');
ylabel('Z-axis');
title('2D plot');

colorbar;
hold off;

Thank you for your help.

Answer 1

[Matt J]

% Define the data as column vectors
x1 = [0.001 0.055178	0.06313	0.071457	0.072486	0.089794	0.099338	0.099518	0.107103	0.118855	0.124411	0.125517	0.128497	0.13175	0.135906	0.141719	0.150846	0.15241	0.156181	0.157533	0.158274	0.159027	0.159401	0.16144	0.162639	0.165307	0.168928	0.172294	0.175054	0.176336	0.182226	0.185355	0.185536	0.191781	0.193506	0.193644	0.197095	0.198207	0.202355	0.204761	0.205134	0.208682	0.210952	0.212751	0.220447	0.22069	0.221403	0.221453	0.221925	0.22572	0.22871	0.230831	0.234085	0.236656	0.240381	0.240835	0.241339	0.242576	0.24507	0.245467	0.24718	0.247336	0.247423	0.253863	0.257667	0.257705	0.259344	0.259667	0.263066	0.268156	0.268795	0.276218	0.277545	0.279455	0.281458	0.283235	0.28604	0.289053	0.294753	0.296227	0.297899	0.299146	0.299616	0.301713	0.302892	0.304464	0.305372	0.305482	0.306944	0.309859	0.31375	0.314905	0.315665	0.315779	0.317846	0.319689	0.324048	0.325627	0.326089	0.327027	0.331245	0.333333	0.338463	0.342653	0.342807	0.349956	0.352732	0.354153	0.354233	0.355341	0.356656	0.35688	0.358447	0.362536	0.363001	0.363558	0.368943	0.369582	0.371092	0.372143	0.37645	0.378771	0.380077	0.380132	0.386161	0.388196	0.390385	0.390621	0.394247	0.394902	0.397471	0.403842	0.405788	0.407323	0.407819	0.408389	0.409127	0.409406	0.411797	0.413571	0.413658	0.413696	0.414003	0.414189	0.417457	0.421655	0.422367	0.424452	0.429382	0.430105	0.434463	0.440018	0.441304	0.445382	0.451221	0.453531	0.454651	0.454782	0.456277	0.456479	0.458572	0.459897	0.466861	0.468297	0.469559	0.470736	0.474025	0.479057	0.479936	0.481312	0.482516	0.482945	0.48406	0.485458	0.485948	0.48662	0.492267	0.494778	0.497505	0.503147	0.503219	0.507627	0.510118	0.510454	0.511309	0.511405	0.512066	0.513327	0.513586	0.515487	0.518519	0.520509	0.525114	0.527776	0.529244	0.539464	0.540359	0.543858	0.550018	0.552908	0.555301	0.55558	0.557271	0.558072	0.559789	0.561135	0.562914	0.565456	0.566109	0.567729	0.573592	0.574495	0.58067	0.58089	0.583212	0.584816	0.590287	0.593941	0.595635	0.596314	0.596888	0.601096	0.601597	0.602476	0.602597	0.612288	0.613492	0.615389	0.622848	0.626066	0.627451	0.629291	0.633198	0.633503	0.636225	0.638458	0.641466	0.644916	0.646269	0.646867	0.647681	0.651326	0.652286	0.656379	0.656401	0.658334	0.668357	0.669856	0.670761	0.678888	0.688307	0.691781	0.692401	0.692511	0.695566	0.698851	0.700808	0.701974	0.70328	0.705366	0.708325	0.712692	0.715572	0.715675	0.721762	0.726429	0.727178	0.728424	0.745073	0.745888	0.746717	0.751663	0.752354	0.760589	0.763589	0.764446	0.77281	0.772814	0.776925	0.777269	0.784132	0.784184	0.786327	0.789535	0.792198	0.800469	0.80659	0.808276	0.816791	0.817857	0.82907	0.83045	0.831508	0.833217	0.833744	0.836159	0.836491	0.851259	0.858238	0.872514	0.876261	0.878046	0.883505	0.884347	0.885493	0.88675	0.888719	0.889479	0.89242	0.898408	0.904162	0.908536	0.92004	0.922416	0.928215	0.935837	0.944559	0.945448	0.969685	0.971511	0.977474	0.980582	0.982367	0.991934	0.994061	0.994775	1.009374	1.011088	1.012684	1.01385	1.017625	1.022223	1.032486	1.033449	1.03551	1.03964	1.040167	1.061826	1.080388	1.09976	1.10007	1.102629	1.1053	1.106862	1.107606	1.124406	1.12696	1.131094	1.138981	1.140703	1.144497	1.151065	1.166858	1.172552	1.177011	1.178204	1.223279	1.236448	1.241236	1.242214	1.248826	1.262489	1.264112	1.272031	1.292503	1.294582	1.298205	1.312618	1.336398	1.377382	1.377565	1.389242	1.40336	1.429553	1.439446	1.452684	1.453913	1.495785	1.59275	1.615322	1.642445	1.649464	1.655172	1.732815	1.845444	1.872881	1.921547	2.048443	2.193629
];
x2 = [0.001 0.024607	0.066225	0.072746	0.078309	0.081249	0.083032	0.090623	0.098684	0.100268	0.109493	0.11194	0.117734	0.122488	0.122677	0.127789	0.131579	0.13245	0.135955	0.142909	0.145108	0.145285	0.15061	0.155311	0.156716	0.162417	0.163934	0.167994	0.169242	0.170077	0.179094	0.179678	0.180129	0.181751	0.182367	0.182832	0.184028	0.188463	0.188879	0.190058	0.192868	0.196017	0.201361	0.201493	0.201934	0.203791	0.205608	0.209321	0.210354	0.210597	0.211343	0.215299	0.215341	0.215833	0.218347	0.218925	0.220369	0.220751	0.224405	0.225101	0.225146	0.229508	0.230832	0.231087	0.233001	0.233032	0.236679	0.237506	0.237875	0.241802	0.242826	0.243826	0.246269	0.248538	0.249918	0.254513	0.256565	0.258759	0.259503	0.260091	0.265396	0.266264	0.268264	0.269305	0.270585	0.27122	0.272259	0.273357	0.274119	0.279913	0.282044	0.283697	0.284734	0.286275	0.291045	0.291058	0.292918	0.29368	0.294726	0.294783	0.295082	0.298565	0.304935	0.306131	0.307018	0.307383	0.312975	0.315585	0.318251	0.318821	0.320439	0.321188	0.323767	0.326999	0.328995	0.330572	0.33286	0.334362	0.335821	0.337393	0.338649	0.339202	0.339912	0.344368	0.348501	0.350682	0.352221	0.353201	0.357251	0.359541	0.360656	0.365497	0.365701	0.369269	0.371681	0.372363	0.37241	0.372724	0.375276	0.37755	0.378076	0.380597	0.385027	0.38962	0.390559	0.393653	0.400919	0.40143	0.404002	0.404079	0.404807	0.406078	0.407683	0.410118	0.416132	0.418425	0.420322	0.423977	0.425373	0.42623	0.426784	0.427158	0.428228	0.429236	0.430322	0.430738	0.4321	0.435693	0.43628	0.439792	0.443976	0.445402	0.446883	0.450511	0.450547	0.463576	0.463635	0.464684	0.465093	0.465466	0.470149	0.470501	0.471856	0.473506	0.476239	0.476889	0.478293	0.48116	0.482456	0.486062	0.486358	0.488485	0.491803	0.49501	0.495707	0.496247	0.497726	0.499204	0.500157	0.500731	0.50726	0.508424	0.508714	0.508902	0.510534	0.510588	0.511288	0.512975	0.514013	0.51411	0.514925	0.51497	0.521042	0.521685	0.523269	0.52532	0.529502	0.529801	0.531753	0.537023	0.539735	0.540936	0.542887	0.547302	0.551602	0.552051	0.553739	0.557377	0.55824	0.558505	0.565361	0.57018	0.570521	0.572511	0.573951	0.574402	0.577199	0.578686	0.58114	0.582903	0.585703	0.586526	0.587688	0.588077	0.590495	0.590986	0.593538	0.595201	0.598842	0.599415	0.599713	0.601472	0.604403	0.611894	0.612469	0.612995	0.616612	0.622951	0.623483	0.624104	0.6249	0.625133	0.630508	0.635321	0.635688	0.638353	0.640773	0.641156	0.642237	0.642537	0.64381	0.651917	0.656538	0.657574	0.657803	0.657895	0.66155	0.662504	0.662592	0.664628	0.667863	0.66936	0.671199	0.684327	0.685283	0.687426	0.688525	0.693488	0.694229	0.694237	0.699265	0.699354	0.700905	0.701437	0.701545	0.70217	0.709776	0.710422	0.712133	0.712401	0.719113	0.726598	0.729928	0.735296	0.739305	0.741959	0.742729	0.743519	0.745329	0.749018	0.749952	0.754098	0.761804	0.764003	0.775479	0.777033	0.777706	0.780071	0.781388	0.783109	0.786987	0.789482	0.794702	0.798688	0.804032	0.807657	0.808577	0.810453	0.812478	0.817678	0.820831	0.822368	0.827458	0.838741	0.843644	0.845458	0.845672	0.854085	0.856721	0.866562	0.870204	0.874859	0.875005	0.879745	0.880684	0.882767	0.887421	0.891837	0.89583	0.898933	0.905077	0.905538	0.906627	0.910256	0.919861	0.921641	0.922004	0.932153	0.937531	0.937963	0.943643	0.945985	0.955621	0.956956	0.969648	0.972502	0.976404	0.976867	0.992324	0.992973	0.994051	1.000057	1.009222	1.015453	1.019205	1.025565	1.031146	1.03283	1.034771	1.043478	1.062583	1.06262	1.064436	1.06526	1.065784	1.068241	1.075487	1.082605	1.090115	1.100447	1.105336	1.111817	1.118977	1.125109	1.125828	1.142431	1.142952	1.144018	1.15719	1.158017	1.175946	1.187635	1.188805	1.188858	1.203236	1.212389	1.250775	1.255206	1.263554	1.286109	1.322055	1.339919	1.342944	1.343532	1.343852	1.396272	1.45162	1.486921	1.497031	1.536886	1.639687	1.651117	1.651787	1.733853	1.827753	1.93082	2.01582	2.127787	2.203886	2.324754
];
x3 = [0.001 0.054776	0.064066	0.073357	0.082647	0.091937	0.095594	0.101228	0.110518	0.119763	0.119809	0.125604	0.129099	0.138389	0.149511	0.152068	0.155615	0.160934	0.172697	0.173208	0.175357	0.178316	0.183413	0.185625	0.200918	0.202104	0.207122	0.211337	0.212743	0.215636	0.220245	0.229571	0.235927	0.240177	0.24121	0.242828	0.243275	0.245646	0.245746	0.246634	0.247318	0.247396	0.247396	0.247588	0.248269	0.254666	0.259835	0.264732	0.269966	0.275138	0.275657	0.277176	0.280849	0.283298	0.284445	0.288421	0.293538	0.29562	0.296942	0.304594	0.305667	0.305801	0.31495	0.316562	0.318713	0.319279	0.319821	0.320059	0.320729	0.322343	0.32277	0.325616	0.326137	0.326591	0.327745	0.332944	0.335678	0.336635	0.341024	0.34297	0.348955	0.351149	0.353707	0.355259	0.356598	0.365688	0.366787	0.377885	0.379893	0.379954	0.38179	0.38203	0.382312	0.390321	0.391239	0.393012	0.393485	0.39403	0.397037	0.399794	0.403386	0.405518	0.407957	0.40876	0.410472	0.411296	0.417062	0.418491	0.418604	0.422531	0.42308	0.424775	0.426404	0.42655	0.42722	0.434652	0.437672	0.4407	0.449128	0.449675	0.453753	0.45826	0.4632	0.463964	0.464514	0.466387	0.46691	0.467236	0.46733	0.476818	0.485023	0.485168	0.485261	0.490298	0.492324	0.492951	0.493613	0.49638	0.49918	0.500573	0.504039	0.512942	0.515834	0.517037	0.518415	0.518575	0.518935	0.524001	0.526218	0.527218	0.52828	0.532374	0.53449	0.536538	0.539356	0.540336	0.540631	0.545417	0.547416	0.552293	0.553275	0.553842	0.556527	0.561128	0.566524	0.576806	0.579129	0.579725	0.580766	0.582542	0.584399	0.589587	0.600421	0.605437	0.61072	0.612953	0.613751	0.613762	0.613932	0.621381	0.621908	0.626031	0.626699	0.627076	0.629304	0.630317	0.630866	0.634981	0.637531	0.638656	0.640834	0.644385	0.646526	0.647999	0.648549	0.65105	0.651762	0.657258	0.664512	0.665934	0.666564	0.668092	0.675135	0.679537	0.686695	0.686949	0.687187	0.687232	0.689488	0.690523	0.694295	0.696677	0.697481	0.700446	0.701145	0.705134	0.70789	0.709086	0.712912	0.713218	0.715536	0.717261	0.719124	0.724872	0.725844	0.744805	0.746481	0.75274	0.756514	0.757594	0.759519	0.760533	0.760613	0.760683	0.761479	0.762733	0.763179	0.765658	0.774882	0.783056	0.784914	0.786486	0.792933	0.79594	0.796119	0.799646	0.803509	0.804421	0.806867	0.809165	0.813657	0.824518	0.825658	0.825701	0.82845	0.829084	0.833833	0.834038	0.839409	0.839545	0.841061	0.84623	0.849018	0.853849	0.861937	0.862245	0.866502	0.870911	0.87222	0.87425	0.87902	0.884301	0.884632	0.889189	0.898714	0.899757	0.902793	0.906085	0.907134	0.908368	0.910419	0.915638	0.918113	0.925471	0.92635	0.927039	0.931778	0.934623	0.937317	0.937803	0.938961	0.940908	0.947778	0.953364	0.958514	0.961921	0.962634	0.972593	0.97649	0.980435	0.985125	0.985446	0.995092	0.996421	1.00653	1.007123	1.013156	1.017326	1.022546	1.024044	1.025284	1.036689	1.044822	1.04721	1.052651	1.052732	1.05317	1.073306	1.076349	1.081898	1.086478	1.090049	1.090427	1.09251	1.099961	1.113518	1.121231	1.121758	1.125098	1.127723	1.128429	1.129945	1.14554	1.146378	1.150171	1.164555	1.167382	1.174462	1.181856	1.185763	1.185842	1.188228	1.196466	1.199218	1.202467	1.210624	1.211988	1.216019	1.224911	1.226505	1.250328	1.252768	1.257337	1.27021	1.276379	1.280477	1.280882	1.287554	1.306454	1.318486	1.323285	1.345784	1.347641	1.350139	1.350671	1.352786	1.360501	1.368245	1.372226	1.37559	1.391974	1.393443	1.394042	1.407725	1.410348	1.411121	1.440007	1.458342	1.484259	1.484605	1.489353	1.491433	1.49235	1.494497	1.498412	1.50944	1.517874	1.527897	1.529549	1.534023	1.592055	1.599131	1.628492	1.633778	1.63884	1.638916	1.64778	1.648069	1.66438	1.671239	1.688733	1.699801	1.758255	1.831323	1.833038	1.837327	1.865578	1.867333	1.875581	1.884439	1.892862	1.994837	2.010273	2.031356	2.070591	2.095825	2.09699	2.117385	2.121098	2.156636
];

x=union( union(x1,x2), x3);

% Fit a lognormal distribution to the data
pd1 = fitdist(x1', 'Lognormal');
pd2 = fitdist(x2', 'Lognormal');
pd3 = fitdist(x3', 'Lognormal');

Z=[cdf(pd1,x);cdf(pd2,x);cdf(pd3,x)]';
 [~,is]=sort(trapz(x,Z));
 Z=Z(:,is);

H=area(x,[Z(:,1), diff(Z,1,2)]);
 H(1).FaceColor='none';

Answer 2

[Image Analyst]

There is a FAQ for this:

https://matlab.fandom.com/wiki/FAQ#How_do_I_shade_the_region_between_two_curves?

[Matt J]

The FAQ recommends patch(). Seems a bit more cumbersome than area(), though probably more flexible.