I have a data file.

I must plot this using ListLogLinearPlot and identify the trend (or the mean). Below is my code for Importing the data file and plotting it.

d = Import[NotebookDirectory[] <> "TEST1.dat"];
ListLogLinearPlot[d, Joined -> True]

enter image description here

I have followed the examples in the Documentation and an answer, here, given by @Bob Hanlon to produce my desired graph.

  • However, I failed miserably.

The codes for the two methods with the unwanted graphs are shown below.


filtered1 = MeanFilter[d, 50];
filtered2 = MedianFilter[d, 50];
filtered3 = MaxFilter[d, 10];

ListLogLinearPlot[{d, filtered1, filtered2, filtered3}]

enter image description here


{max, mean, min} = # /@ d & /@ {Max, Mean, Min};

ListLogLinearPlot[{d, max, mean, min}, PlotRange -> Full]

enter image description here

I need a plot that should, more or less, look like this:

enter image description here

How do I achieve my desired result? Any help would be appreciated. Thank you.


1 Answer 1


You are not using the filters correctly. You should apply them only to the $y$ values, but when you do MeanFilter[d, 50], the filter is applied also to the $x$ values.

An elegant way is to use TimeSeries, which *Filter functions recognize and are correctly applied only to the $y$ values.

ts = TimeSeries[d];
filtered1 = MeanFilter[ts, 50];
filtered2 = MedianFilter[ts, 50];
filtered3 = MaxFilter[ts, 10];

ListLogLinearPlot[{ts, filtered1, filtered2, filtered3}, Joined -> True]

enter image description here

  • $\begingroup$ Thank yo for pointing out my mistake. :) $\endgroup$
    – user444
    Feb 13 at 16:08

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