Skip to main content

functions - What best practices or performance considerations are there for choosing between Cases, Position, Pick and Select?


Cases, Select,Pick and Position each have different syntaxes and purposes, but there are times when you can express the same calculation equivalently using either of them. So with this input:


test = RandomInteger[{-25, 25}, {20, 2}]


{{-15, 13}, {-8, 16}, {-8, -19}, {7, 6}, {-21, 9}, {-3, -25}, {21, -18}, {4, 4}, {2, -2}, {-24, 8}, {-17, -8}, {4, -18}, {22, -24}, {-4, -3}, {21, 0}, {19, 18}, {-23, -8}, {23, -25}, {14, -2}, {-1, -13}}

You can get the following equivalent results:


Cases[test, {_, _?Positive}]

{{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}}

Select[test, #[[2]] > 0 &]

{{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}}


Pick[test, Sign[test[[All, 2]] ], 1]

{{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}}


test[[Flatten@Position[test[[All, 2]], _?Positive] ]]

{{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}}


Are there performance or other considerations that should guide which you should use? For example, is the pattern-matching used in Cases likely to be slower than the functional tests used in Select? Are there any generic rules of thumb, or is testing the particular case you are using the only solution?



Answer



In my view, Cases and Position are in one camp (pattern-based functions used for general expression destructuring), while Select is in another: (more) special-purpose functions optimized to work on certain efficient data structures.


As was mentioned already, both Cases and Select do generally unpack when used with packed arrays. What wasn't mentioned is that Select can easily be compiled, including compilation to C:


sel = Compile[{{lst, _Integer, 2}}, Select[lst, #[[2]] > 0 &], 
CompilationTarget -> "C", RuntimeOptions -> "Speed"];

In[98]:= (res3 = sel[test]);//Timing
Out[98]= {0.125,Null}


which gives an order of magnitude speed-up in the case at hand. Needless to say, Cases, being a general function using patterns, cannot be compiled and any attempt to do so will result in a callback to the main evaluator in the compiled code, which destroys the purpose.


Another difference is that Select can also work on sparse arrays, while Cases and Position can't.


OTOH, Cases and Position are more general in that they can work on arbitrary expressions (not necessarily packed or even regular arrays), and at an arbitrary level. If you happen to have an (even numerical) irregular nested list, where you can't utilize packing, Cases and Position may be able to do things Select can't (Select is limited to one level only). Performance-wise, Cases / Position can also be very efficient, if the test patterns are constructed properly (mostly syntactic patterns, with no Condition or PatternTest involved, and preferably not containing things like __, ___ etc as sub-parts).


There are instances when Cases (Position also, but not as much) are practially indispensable, and this is when you want to collect some information about the expression, while preventing its parts from evaluation. For example, getting all symbols involved in an expression expr, in unevaluated form, wrapped in HoldComplete (say), is as simple as this:


Cases[expr, s_Symbol :> HoldComplete[s], {0, Infinity}, Heads -> True]

and quite efficient as well. Generally, patterns and destructuring are very (perhaps most) powerful metaprogramming tools that Mathematica provides.


So, my final advice is this: when you have an expression with a fixed regular structure, or even better, numerical packed array, Select or other more precise operations (Pick etc) may be advantageous, and also more natural. When you have some general (perhaps symbolic) expression, and want to get some non-trivial information from it, Cases, Position and other pattern-based functions may be a natural choice.


Comments

Popular posts from this blog

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 - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

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....