I have an x and y data, x is in log scale and y is in linear scale. I am trying to plot the histogram between these two data. How to do it? and also how to customize the width of the individual rectangle of the histogram. Below is How I tried


p[1] = Show[ Table[ListLogLinearPlot[data, Joined -> True,PlotStyle -> {Red, Thickness[0.002]}], {i, 1, Length[komodo]}], PlotRange -> All]


  • $\begingroup$ A histogram is typically constructed with counts or relative frequencies. What are the units of data[[All,2]]? Those values sum to 1783.96. Do you want a BarChart rather than a Histogram? $\endgroup$
    – JimB
    Nov 25, 2020 at 5:36
  • $\begingroup$ Actually, I am plotting the sound levels in dB vs frequency in Hz. I don't know is it possible that if look at how both bar chart and histogram turn up and decide later? $\endgroup$
    – acoustics
    Nov 25, 2020 at 5:42
  • $\begingroup$ I don't think a decision based on "I'll know it when I see it" should be satisfying. $\endgroup$
    – JimB
    Nov 25, 2020 at 5:53
  • $\begingroup$ Ok the standard practice in journal papers is to plot using the histogram. $\endgroup$
    – acoustics
    Nov 25, 2020 at 5:55
  • $\begingroup$ Providing a journal example of what you want would get you more more targeted help. $\endgroup$
    – JimB
    Nov 25, 2020 at 6:15

1 Answer 1


I wonder if something like this is what you’re after:

  Filling -> Axis, 
  FillingStyle -> Thickness[0.02],
  Axes -> False, Frame -> True

simulated histogram

  • $\begingroup$ The x-axis is cutting the histogram at the bottom. Is it possible to overcome that? $\endgroup$
    – acoustics
    Nov 25, 2020 at 6:05
  • $\begingroup$ @acoustics see edit. You can apply any of the usual plot styling and formatting of course (colors, etc). $\endgroup$
    – MarcoB
    Nov 25, 2020 at 6:11
  • $\begingroup$ I tried changing the color but it is not happening. how to make it work $\endgroup$
    – acoustics
    Nov 26, 2020 at 12:19
  • $\begingroup$ @acoustic Use something like ‘FillingStyle -> Directive[Red, Thickness[0.02]]‘ $\endgroup$
    – MarcoB
    Nov 26, 2020 at 14:31

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