# How to plot one data set with two y axes?

조회 수: 7 (최근 30일)
Thomas . 2016년 3월 11일
댓글: Thomas . 2016년 3월 11일
Hi, I am trying to represent battery capacity against percentage of load covered by the capacity of the battery against the cost of the battery on one graph with two y axes. With data for battery capacity on the x axis, the left side y axis to display the percentage of load covered by the battery capacity and the second y axis on the right side to display the cost per capacity. Currently I've been using plotyy but it displays two plots and I'm only after one. I've been looking at scaling the cost axis to the percentage of load covered but I am not sure how to go about it. So far I have the following code,
%
pb = 120; % cost of battery per kWh
OfyStor = linspace(5,100,45); % percentage of the annual demand covered by the Capacity
Capacity = linspace(2,130,45); % Capacity of energy storage
cost_pb = Capacity*pb; % Total cost per battery capacity
figure(1)
[ax, hLine1, hLine2] = plotyy(Capacity, OfyStor, Capacity, cost_pb)
xlabel(ax(1), 'Capacity (kWh)');
ylabel(ax(2), 'Cost(\$)');
If anyone has any recommendation it would be greatly appreciated.
##### 댓글 수: 1이전 댓글 -1개 표시이전 댓글 -1개 숨기기
I'm not sure I understand what you want. Since there are different functions defining percentage load and cost per capacity wouldn't you expect to have to plot two curves rather than just one curve with 2 axes?

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### 채택된 답변

Ilham Hardy 2016년 3월 11일
%
pb = 120; % cost of battery per kWh
OfyStor = linspace(5,100,45); % percentage of the annual demand covered by the Capacity
Capacity = linspace(2,130,45); % Capacity of energy storage
cost_pb = Capacity*pb; % Total cost per battery capacity
figure(1)
[ax, hLine1, hLine2] = plotyy(Capacity, OfyStor, Capacity, cost_pb)
xlabel(ax(1), 'Capacity (kWh)');
ylabel(ax(2), 'Cost(\$)');
grid on
I adjusted your code, and got two plots in one figure... Is this what you want?
##### 댓글 수: 1이전 댓글 -1개 표시이전 댓글 -1개 숨기기
Thomas 2016년 3월 11일
Yes, thank you. I've just been having a brainstorm and I think that is the best solution.

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