How to change the scaling of columns in an array to a different scaling of the same data points on a plot?

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Hi, I didn't really know how to frame my problem so sorry if it's unclear, but here it is: basically I have a variable which is an array of data with 6 data points (6 columns, 1 row). I now want to plot these, but if you just use 'plot', then it ends up putting the first data point as corresponding with "1" on the x axis, the second data point with "2" etc. whereas I want the first data point to correspond to something else - let's say 5 on the x axis, the next one to 20 and then 30 etc. (e.g. data point is distance and the first one is at 5 seconds, the second one at 20 seconds, the next one at 30 etc.).
To work around this I tried creating a different array with the data points being in corresponding columns (and zeros for the rest of the columns) but that just ended up plotting whole lot of zeros in-between to.
To get rid of the zeros, I tried to change them to NaN with
Distance(Distance==0)=nan
which almost worked but if I try to plot this now, I just end up with 6 data points and I can't seem to get a line to connect them?
Any help would be much appreciated!

Accepted Answer

jonas
jonas on 5 Sep 2018
Edited: jonas on 5 Sep 2018
Excuse me if I misunderstand the question, but my take away is that you are asking how to use the basic plot function. Consider y to be your array with values. The corresponding x-values then goes into the x-vector:
x = [5 20 30...]
plot(x,y)
  1 Comment
Shanaja
Shanaja on 5 Sep 2018
Oh my, feel super stupid right now, it actually was what I was asking about! Got too caught up in the fancy difficult stuff. Thank you so much and let me go bury myself in a hole somewhere

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