Why does this happen when using the log scale for the y-axis?

Hello,

I am trying to build a bar chart and to neatly represent the errors for both, the methods of Lagrange and linear spline, for interpolation.

however whenever I run the code, I am getting bars that tend to infinty from below.

I want them to start from so that error bars higher than that go up, and error bars lower than that go down.

How can I solve this problem?

Thank you for your help.

figure
L_err_X = [5.58766454362922	21.1118153882187	15.7457248117304	9056.59448225290	737241807.345839]

L_err_X = 1×5

1.0e+08 * 0.0000 0.0000 0.0000 0.0001 7.3724

S_err_X = [5.58766454362922	15.9092058567649	9.79528785926242	1.18154028820416	0.481370143021060]

S_err_X = 1×5

5.5877 15.9092 9.7953 1.1815 0.4814

bar([L_err_X; S_err_X]')
legend('lagrange','Spline')
title('Erreurs de Calcul pour les 2 Methodes')
ylabel('error X')
set(gca,'YScale','log')
grid on

[Jan]

What exactly do you consider as "problem" here? One bar reaches the height of 7.3e8 and it is displayed accordingly. Everything looks as expected. So what do you want to "solve"?

[Daniel]

Hello,

Thank you for your reply.

Here's the problem. the fact that the bars extend from below to . This figure is the same one but zoomed out.

Answer 1

[Star Strider]

Setting the BaseValue parameter to a positive value is an option.

All the bar heights appear to be positive.

[Daniel]

Thank you for putting the effort to understand my problem. After setting the basevalue to 1, it worked.

Thank you again.

Here is the code:

figure
L_err_X = [5.58766454362922	21.1118153882187	15.7457248117304	9056.59448225290	737241807.345839];
S_err_X = [5.58766454362922	15.9092058567649	9.79528785926242	1.18154028820416	0.481370143021060];

b = bar([L_err_X; S_err_X]');
b(1).BaseValue = 1;
legend('lagrange','Spline')
title('Erreurs de Calcul pour les 2 Methodes')
ylabel('error X')
set(gca,'YScale','log')
grid on

[Star Strider]

As always, my pleasure!