plotting all on same figure

How would I plot this all in the same figure? It should have 4 diffrent functions plotted on the same figure.
clc, clear, close all
mu= 0.0016; %blood dynamic visosity Pa*s or Ns/m^2
dp_dz=-40.96; %N/m^2;
inner_radius=.0125; % meters
r=linspace(0,inner_radius,100);% inner radius is .0125
velocity_z=-0.25*mu.*dp_dz.*(inner_radius.^2-r.^2);
plot(r,velocity_z)
xlabel('Velocity in z direction')
ylabel('Radius in meters')
title('Aorta: Velocity Profile as a funtion of radius')
%%
clc, clear, close all
mu= 0.0016; %blood dynamic visosity Pa*s or Ns/m^2
dp_dz=-4800; %N/m^2;
inner_radius=.002; % meters
r=linspace(0,inner_radius,100);% inner radius is .0125
velocity_z=-0.25*mu.*dp_dz.*(inner_radius.^2-r.^2);
plot(r,velocity_z)
xlabel('Velocity in z direction')
ylabel('Radius in meters')
title('Aorta: Velocity Profile as a funtion of radius')
%%
mu= 0.0016; %blood dynamic visosity Pa*s or Ns/m^2
dp_dz=-166116; %N/m^2;
inner_radius=.000015; % meters
r=linspace(0,inner_radius,100);% inner radius is .0125
velocity_z=-0.25*mu.*dp_dz.*(inner_radius.^2-r.^2);
plot(r,velocity_z)
xlabel('Velocity in z direction')
ylabel('Radius in meters')
title('Arteriole: Velocity Profile as a funtion of radius')
%%
mu= 0.0016; %blood dynamic visosity Pa*s or Ns/m^2
dp_dz=-600000; %N/m^2;
inner_radius=.000004; % meters
r=linspace(0,inner_radius,100);% inner radius is .0125
velocity_z=-0.25*mu.*dp_dz.*(inner_radius.^2-r.^2);
plot(r,velocity_z)
xlabel('Velocity in z direction')
ylabel('Radius in meters')
title('Capillary: Velocity Profile as a funtion of radius')

 Accepted Answer

madhan ravi
madhan ravi on 9 Mar 2019
Edited: madhan ravi on 9 Mar 2019
Remove clc, clear and close all.
Use hold on after the first plot command. Also defining xlabel() , ylabel() and title() once is enough, you don't have to repeat it.
The appropriate way is to use subplot() because the scales of each graphs are different. You can just loop to construct the subplots.

3 Comments

how would the code look with using subplot
See the attached file in the answer.
Thank you for the help. As you mentioned it was easier to just plot individually since the scales were way different.

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