plot results with small value difference between each data

I calculated the convergence results with there a pair of plot. One is for the calculation value and the other is for the increment between the current value to previes value. However, because the difference between each value is to small to show the continue line for the increment plot and calculation value shown in the y-axis with a long floating point number, I would like to ask if there is another appropiate way to show such a long floating point number and make the continuous line of increment. Thank you very much!

clc
clear

v=0.3; 
E=(209e+3)*10^6; 
G=E/(2*(1+v));
q=-0.1*10^6; 
h=15*10^(-3); 
D=(E*h^3)/(12*(1-v^2)); 
I=(h^3)/12; 
a=600*(10^-3);b=2400*(10^-3); 

syms x y

c=7
for f = 1:c
 k=[3:2:1+2*c]; 
 mn{f}= 1:2:k(f)
end


NDAT=[1:c];
DisDAT=0*NDAT;
DDAT=0*NDAT;

x=300*(10^-3);
y=0;

combine_Mx_prime2=sym(zeros(1,c));
for f=1:c

  N=NDAT(f);
 len=length(mn{f});


rfa_m=zeros(1,len);

for i=1:len
   m=mn{f}(i)
   rfa_m(i)= (m.*pi*b)./(2*a)
end


Am=zeros(1,len);
for i=1:len
  m=mn{f}(i)
    Am(i)=-2*(rfa_m(i)*tanh(rfa_m(i))+2)./((pi^5)*(m^5)*cosh(rfa_m(i)))
end

Bm=zeros(1,len);
for i=1:len
 m=mn{f}(i)
    Bm(i)=2./((pi^5)*(m^5)*cosh(rfa_m(i)))
end

Mx_prime=q*x*(a-x)/2;


Mx_prime2=zeros(1,len);

for i=1:len
m=mn{f}(i)

Mx_prime2(i)=(1-v)*q*(a^2)*(pi^2)*(sum((m.^2).*((Am(i).*cosh(m.*pi.*y/a))+Bm(i).*(((m.*pi.*y/a).*...
     (sinh(m.*pi.*y/a)))-(2*v/(1-v))*cosh(m.*pi.*y/a))).*sin(m.*pi.*x/a)))


end
combine_Mx_prime2(f)=sum(Mx_prime2);


Mx=vpa(double((Mx_prime+combine_Mx_prime2)))



if f>1
    DDAT(f)=abs(Mx(f)-Mx(f-1))
end

subplot(121);
plot(Mx,'r*-');
 xlim([min(NDAT) max(NDAT)]);
xlabel('Number of mn in Series');
ylabel('Mx (N.m/m)');
title({'Convergence of Mx';'At X=0.3(m) Y=0(m)'})
set(gca, 'FontSize', 10);
drawnow
  
subplot(122);
semilogy(NDAT,DDAT,'b+-');
xlabel('Number of Increments');
ylabel('Increments');
title({'Increments of Mx';'At X=0.3(m) Y=0(m)'})
 set(gca,'FontSize', 10);
drawnow

end

Answer 1

[Image Analyst]

If the differences between the datapoints are too small to see on a linear scale, then try using semilogy or else take the log of the data before plotting. Or subtract the mean before plotting. Or use ylim to zoom in on one small section of the plot's y axis.