How can I create this 2D waterfall plot?
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onamaewa
am 11 Apr. 2019
Kommentiert: Adam Danz
am 21 Sep. 2020
The data is from a CSV file with one time column and 32 columns of data.
The curves show the Amplitude vs. Time behavior of the sensors while the sensor locations (in meters) are placed on the Y-axis.
I assume this is a waterfall plot, but I can't reproduce it. How can I make a graph like this one?

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Steven Lord
am 11 Apr. 2019
That's not a waterfall plot, at least not by my understanding. To me a waterfall plot looks like the picture shown on the waterfall function documentation page.
What you've shown looks more like the "Plot Multiple Lines" or "Create Line Plot From Matrix" examples on the documentation page for the plot function, though your multiple lines look like their Y data is different enough that the lines don't overlap. In that I agree with Adam Danz, that plot is probably the right tool for this job.
If neither of those look like what you want, open the Plots tab on the Toolstrip and click the downward pointing triangle in the PLOTS section. Scan through the thumbnails to see if one looks like what you want. Once you've found such a thumbnail ask for help or doc on the function name written under the picture, or open up the Catalog (the button in the lower corner of the PLOTS dropdown) and locate the thumbnail / function of the same name to see the documentation page for that function.
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srt10
am 29 Aug. 2019
That plot does look like a waterfall plot. You can obtain a plot like that by trying
figure()
waterfall(time,position,data)
Here time is your time vector and position is a 1x32 vector that corresponds to each column of your data. Make sure the matrix "data" is of the correct dimensions (length(time) x 32). You may rotate the resulting waterfall plot to get what is shown in the figure. Good luck!
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d7366431
am 9 Mai 2020
I am wondering what is the solution? How to obtain this chart? I have the same problem =)
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Vladimir
am 21 Sep. 2020
Try stackedplot built-in plotting routine
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Adam Danz
am 21 Sep. 2020
The use of stackedplot is not a solution in this case because each line in the demo image extends into the territory of the next line along the y-axis. With stackedplot, each line would have its own ylim which would prevent overlaping.
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