Plotting Timetable in Matlab
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load_demand=readtable("Demand_timeseries_1hourResolution.xlsx");
TR=table2timetable(load_demand);
Time=TR({'05-05-2020','05-06-2020 00:00:00'},:);
T = timetable2table(Time)
x=T{2:end,1}
y=T{2:end,3}
plot(x,y)
I am trying to plot my timetable, but it will only plot a single point for it. So instead of plotting the whole data series for 'Time' it only plots for the first point. I tried converting it to an array but that didn't work out too well. Hopefully somebody can help me
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更多回答(2 个)
Duncan Po
2021-2-19
0 个投票
The line:
Time=TR({'05-05-2020','05-06-2020 00:00:00'},:);
only extracts two rows from TR. So Time only has two rows. Then when you define x and y, the first row is discarded, so x and y are scalar. That's the reason only one point is plotted.
If you want the entire series, just use the entire TR instead of extracting only two rows.
17 个评论
Anders Vigen
2021-2-20
Walter Roberson
2021-2-20
https://www.mathworks.com/help/matlab/ref/timerange.html#d122e1343230
Anders Vigen
2021-2-20
Walter Roberson
2021-2-20
load_demand = readtable("Demand_timeseries_1hourResolution.xlsx");
TR = table2timetable(load_demand);
subset = timerange(datetime('05-05-2020', 'InputFormat', 'MM-dd-yyyy'),datetime('05-06-2020 00:00:00', 'InputFormat', 'MM-dd-yyyy HH:mm:ss'));
Time = TR(subset,:);
T = timetable2table(Time)
x=T{2:end,1}
y=T{2:end,3}
plot(x,y)
By the way, why are you skipping the first row?
Note: using timerange would be a lot easier if you were using a standard way of representing the dates.
subset = timerange('2020-05-05', '2020-05-06')
The mess with calling datetime() with 'InputFormat' is only needed because month-day-year is not one of the recognized international time formats.
Anders Vigen
2021-2-20
编辑:Anders Vigen
2021-2-20
Should be okay provided that you have more than one hour of data being selected.
x = datetime('2020-05-05 00:00'):hours(1):datetime('2020-05-05 23:00');
y = rand(1,length(x));
plot(x, y)
Anders Vigen
2021-2-20
Walter Roberson
2021-2-20
load_demand = readtable("Demand_timeseries_1hourResolution.xlsx");
mask = isbetween(load_demand.Time, datetime('2020-05-05'), datetime('2020-05-06')-minutes(1));
x = load_demand.Time(mask);
y = load_demand{mask,3};
plot(x, y);
Anders Vigen
2021-2-21
Walter Roberson
2021-2-21
load_demand = readtable("Demand_timeseries_1hourResolution.xlsx");
mask = isbetween(load_demand{:, 1}, datetime('2020-05-05'), datetime('2020-05-06')-minutes(1));
x = load_demand.Time(mask);
y = load_demand{mask,3};
plot(x, y);
Walter Roberson
2021-2-21
编辑:Walter Roberson
2021-2-21
I do not have your file so I was guessing about the variable name based on some of your other comments in other posts.
Anders Vigen
2021-2-21
Walter Roberson
2021-2-21
load_demand = readtable("Demand_timeseries_1hourResolution.xlsx");
load_demand.Time = load_demand.Date + hours(load_demand.Hours);
mask = isbetween(load_demand{:, 1}, datetime('2020-05-05'), datetime('2020-05-06')-minutes(1));
x = load_demand.Time(mask);
y = load_demand{mask,3};
plot(x, y);
Walter Roberson
2021-2-21
This could have been resolved days ago if you have attached a sample file.
Anders Vigen
2021-2-21
Walter Roberson
2021-2-21
The representation of hours turned out to be strange :(
load_demand = readtable("Demand_timeseries_1hourResolution.xlsx");
h = cellfun(@(S) sscanf(S, '%d', 1), load_demand.Hours);
load_demand.Time = load_demand.Date + hours(h);
mask = isbetween(load_demand{:, 1}, datetime('2020-05-05'), datetime('2020-05-06')-minutes(1));
x = load_demand.Time(mask);
y = load_demand{mask,3};
plot(x, y);
Anders Vigen
2021-2-23
Hi, @Anders Vigen
Here I give a Example:
tt = datetime+years(1:10); % 比如从现在时间开始,连续十年时间点
y = rand(10,1);
TT = timetable(tt',y)
plot(TT.Time,y,LineWidth=2)
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