plotting - How can I highlight the points lying between two lines in a ListPlot?

I have a list of numbers like the following:

list = Table[RandomInteger[1000], {i, 1000}];

And I plot them so:

ListPlot[list]

enter image description here

I have drawn the black lines on the plot myself. I'd like to have min and max variables as a function of y, which once set, produce these lines in the chart and highlight the data between the lines. How can I do this?

Answer

I shall suppose that you want something like this:

Mathematica graphics

The first step is to convert your data into the (x, y) specified form:

list = RandomReal[2, 1000];
list = MapIndexed[{#2[[1]], #} &, list];

Then define bound functions:

low  = 0.5 + Sin[#/150`]/4 &;
high = 1.2 + Sin[#/100`]/3 &;

Gather points according to these functions:

list2 = Sort @ GatherBy[list, low@# < #2 < high@# & @@ # &];

Plot the points and functions and display together with Show:

Show[
 ListPlot[list2, PlotStyle -> {Red, Black}],
 Plot[{low@x, high@x}, {x, 0, 1000}]
]

Comments

plotting - Filling between two spheres in SphericalPlot3D

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plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1.

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