gnuplot：如何从分布中产生平滑的密度图？
我想从分布中制作一个密度图，例如第二个子图如下：
”
unset key
set yrange [0:]
set ytics 5
set print $data
do for [i = 1:100] { print rand(0)*10 }
unset print
binwidth = 1
set boxwidth 0.8*binwidth
# set fill style of bins
set style fill solid 0.5
# define macro for plotting the histogram
hist = 'u (binwidth*(floor(($1)/binwidth)+0.5)):(1.0) smooth freq w boxes'
density = 'u (binwidth*(floor(($1)/binwidth)+0.5)):(1.0) smooth freq with filledcurves y=0'
plot $data @density
example ：//i.sstatic.net/yl4tm.png“ rel =“ nofollow noreferrer”>
它主要基于直方图，通过填充曲线添加，但一个明显的区别是，结果图根本不是平滑的。
那么，如何从分布中产生光滑的密度图？是否可以在GNUPLOT中使用任何插值函数？
I would like to make a density plot from a distribution like the second subfigure in the following:
Here is what I tried:
unset key
set yrange [0:]
set ytics 5
set print $data
do for [i = 1:100] { print rand(0)*10 }
unset print
binwidth = 1
set boxwidth 0.8*binwidth
# set fill style of bins
set style fill solid 0.5
# define macro for plotting the histogram
hist = 'u (binwidth*(floor(($1)/binwidth)+0.5)):(1.0) smooth freq w boxes'
density = 'u (binwidth*(floor(($1)/binwidth)+0.5)):(1.0) smooth freq with filledcurves y=0'
plot $data @density
It is mainly based on a histogram by adding with filledcurves, but a clear difference is that the resulting figure is not smooth at all.
So, how can I generate smooth density plots from a distribution? Is there any interpolation function that can be used in gnuplot?
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我在gnuplot中发现
内核密度估计在这里很有帮助。I found
kernel density estimatein gnuplot can be helpful here.