Plot with 2D histograms bins

Question

I have seen in posts Normalizing histogram bins in Gnuplot that is possible to bin some x samples and plot a histogram, with

binwidth=5
bin(x,width)=width*floor(x/width) + binwidth/2.0
plot 'file.dat' using (bin($1, binwidth)):(1/(binwidth*num_points) smooth freq with boxes

I would like to achieve the same result of that post but with the 2D dataset ((x,y)-points) and plot a type of heat map of that data, for example with heat-map indicating the probability, or intensity (i.e. (number of samples)/(bin area)).

How could I compute the 2d-bin_plot with Gnuplot?

Thank you very much for your help

theozh · Accepted Answer · 2022-08-27T05:22:15.013

Binning of 2D data is the same principle as for 1D. The special point about it is that the option smooth freq which is used for 1D binning will only accept one value for the bins (not two: x and y). Hence, you simply enumerate your bins from 0 to BinCountX * BinCountY - 1 and define functions BinValueX(), BinValueY() to get back from your bin number to the x- and y-bin values.

The test data section creates random x,y and z-values. The z-values within a x,y-bin will be added during the binning process.

Alternatively, depending on the data, a density plot could also be of interest.

Script: (works with gnuplot>=5.0.0)

### 2D binning of data
reset session

# create some random test data
set table $Data
    set samples 5000
    plot '+' u (invnorm(rand(0))):(invnorm(rand(0))):(int(rand(0)*10+1)) w table
    set samples 1000
    plot '+' u (invnorm(rand(0))+2):(invnorm(rand(0))+2):(int(rand(0)*10+1)) w table
unset table

BinWidthX = 0.25
BinWidthY = 0.25

# get data range min, max
stats $Data u 1:2 nooutput
Xmin = floor(STATS_min_x/BinWidthX)*BinWidthX
Ymin = floor(STATS_min_y/BinWidthY)*BinWidthY
Xmax = ceil(STATS_max_x/BinWidthX)*BinWidthX
Ymax = ceil(STATS_max_y/BinWidthY)*BinWidthY

BinCountX    = int((Xmax-Xmin)/BinWidthX)
BinCountY    = int((Ymax-Ymin)/BinWidthY)
BinNoX(x)    = floor((x-Xmin)/BinWidthX)
BinNoY(y)    = floor((y-Ymin)/BinWidthY)
BinNo(x,y)   = BinNoY(y)*BinCountX + BinNoX(x)
BinValueX(n) = Xmin + (int(n)%BinCountX)*BinWidthX
BinValueY(n) = Ymin + (int(n)/BinCountY)*BinWidthY   # integer division!

# get data into bins
set table $Bins
    plot [*:*][*:*] $Data u (BinNo($1,$2)):3 smooth freq
unset table

set size ratio -1
set xrange [Xmin:Xmax]
set yrange [Ymin:Ymax]
set key noautotitle
set view 60,30,1.2
set style fill solid 1.0
set grid x,y

set multiplot layout 1,2

    set title "Raw data"
    plot $Data u 1:2:3 w p pt 7 ps 0.2 lc palette
    
    set title "2D binned data"
    plot $Bins u (BinValueX($1)+BinWidthX/2.):(BinValueY($1)+BinWidthY/2.):\
                 (BinWidthX/2.):(BinWidthX/2.):2 w boxxy fc palette z
unset multiplot
### end of script

Result:

Plot with 2D histograms bins

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