Skip to main content

plotting - How to place legend labels for Histogram and ListLinePlots correctly?


I would like to place AxesLabels:



  1. For x axis at center of the Histogram and LineListPLots.

  2. For y axis rotated 90 degree anti clockwise.



I don't see any options for it?


Histogram[Table[zcb[i],{i,mcRunHJM}],AxesLabel->{Price,Relative Frequency}]

ListLinePlot[Table[zcb[i],{i,mcRunHJM}],PlotRange->{{0,mcRunHJM},{0.9,1.1}}, PlotLabel->Style["Convergence",FontSize->12],AxesLabel->{Simulation Step,Price}]

enter image description here



Answer



For the histogram:


Labeled[Histogram[

  RandomReal[NormalDistribution[0, 1], 200]], {Rotate[
   "Relative Frequency", 90 Degree], "Price"}, {Left, Bottom}]

enter image description here


Addendum


Further to Sebastian's comment to add stats:-


data = RandomReal[NormalDistribution[0, 1], 200];
Labeled[Histogram[data,
  Epilog -> Inset[Framed[Grid[{
       {"Mean =", Mean[data]},

       {"Max =", Max[data]},
       {"Min =", Min[data]}},
      Alignment -> {{Left}}], Background -> White],
    {Right, Top}, {Right, Top}],
  BaseStyle -> {FontFamily -> "Courier"}], {Rotate[
   "Relative Frequency", 90 Degree], "Price"},
 {Left, Bottom}]

enter image description here


To show two data sets, two methods:-



dataA = RandomReal[NormalDistribution[0, 1], 200];
dataB = RandomReal[NormalDistribution[0, 1], 100];

Labeled[Histogram[{dataA, dataB},
  ChartStyle -> {ColorData[3, 4], ColorData[3, 6]},
  ChartLegends -> {
    Style[StringJoin["Set A mean = ",
      ToString[Round[Mean[dataA], 10.^-6]]],
     FontFamily -> "Courier"],
    Style[StringJoin["Set B mean = ",

      ToString[Round[Mean[dataB], 10.^-6]]],
     FontFamily -> "Courier"]}],
 {Rotate["Relative Frequency", 90 Degree],
  "Price                         "}, {Left, Bottom}]

enter image description here


For more control of appearance the second method uses ShowLegend:-


(* Specify common bin division size *)
histA = Histogram[dataA, {0.5}];
histB = Histogram[dataB, {0.5}];

(* Find common plot range and axes origin *)
minmaxA = First[PlotRange /. Options[histA, PlotRange]];
minmaxB = First[PlotRange /. Options[histB, PlotRange]];
tAB = Transpose[{minmaxA, minmaxB}];
minmaxAB = {Min[First[tAB]], Max[Last[tAB]]};
aoA = First[AxesOrigin /. Options[histA, AxesOrigin]];
aoB = First[AxesOrigin /. Options[histB, AxesOrigin]];
aoAB = Min[aoA, aoB];

Quiet[Needs["PlotLegends`"]];

Labeled[
 ShowLegend[Show[
   Histogram[dataA, {0.5},
    ChartBaseStyle -> {ColorData[3, 4], Opacity[0.5]}],
   Histogram[dataB, {0.5},
    ChartBaseStyle -> {ColorData[3, 6], Opacity[0.5]}],
   PlotRange -> {minmaxAB, {All, All}},
   AxesOrigin -> {aoAB, 0}],

  {{{Graphics[{ColorData[3, 4], Opacity[0.5], Rectangle[]}], 

     Style[StringJoin["Set A mean = ",
       ToString[Round[Mean[dataA], 10.^-6]]],
      FontFamily -> "Courier"]}, {Graphics[{ColorData[3, 6], 
       Opacity[0.5], Rectangle[]}], Style[StringJoin["Set B mean = ",
       ToString[Round[Mean[dataB], 10.^-6]]],
      FontFamily -> "Courier"]}},
   LegendPosition -> {0.2, 0.6},
   LegendSize -> {1.1, 0.25},
   LegendTextSpace -> 8,
   LegendShadow -> None}],

 {Rotate["Relative Frequency", 90 Degree], "Price      "},
 {Left, Bottom}]

enter image description here


And a matching ListLinePlot:-


linedataA = RandomReal[NormalDistribution[0, 1], 20];
linedataB = Accumulate[linedataA];

ListLinePlot[{linedataA, linedataB},
 Frame -> {{True, False}, {True, False}},

 FrameLabel ->
   Map[Style[#, {FontFamily -> "Courier", 13}] &,
   {"Simulation Step", "Price"}],
 PlotLegends -> {"Set A", "Set B"}]

enter image description here


You might find this book useful: Mathematica Navigator. It shows a lot of charting techniques.


Comments

Post a Comment

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}]
Post a Comment
Read more

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}]
Post a Comment
Read more

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....
Post a Comment
Read more