有没有办法在gnuplot中绘制平均值？

假设我有一个包含两列数据的文件

file.dat

。 我通常会用

plot "file.dat" u 1:2

我想平均10（例如）个以上的点和10个以下的点，然后在同一个图上绘制。 我可以使用一些外部脚本轻松地完成这项工作，其中我制作了另一个专栏：

for(i=-10;i<=10;++i)
  $3[j] += $2[j-i]

---

for（i=-10；i这可能令人惊讶地不是内置于gnuplot中的。由于gnuplot是如何将数据作为流处理的，因此没有好的方法来操作gnuplot中的各个数据点，也没有数据点的范围

gnuplot的一个优点是调用外部脚本和工具非常容易。如果您想使用外部脚本来处理来自gnuplot的数据，可以这样做：

plot "<script.py data.dat" u 1:2

看起来Bézier曲线是内置的，可以用作
plot”file.dat“u 1:2 s B
。有某种平均值是很好的，但是自定义的会更好，所以问题仍然悬而未决。
#!/usr/bin/python2.7

import sys 

if (len(sys.argv) > 6): 
 print ""
 print "This script takes one mandatory argument, the name of a file containing"
 print "data to be plotted.  It takes up to four optional arguments as follows:"
 print " 1) the number of points before a data point to add into average."
 print " 2) the number of points after a data point to add into average."
 print " 3) the column number of y data (first column is column 1)"
 print " 4) the column number of x data (first column is column 1)"
 print ""
 exit()

# set variable defaults
box_back = 10   # number of points before current point to add into average
box_front = 10  # number of points after current point to add into average
y_col = 2       # column number of y data (first column is column 1)
x_col = 1       # column number of x data (first column is column 1)

# assign variables from command line arguments
inputFileName = str(sys.argv[1])
if (len(sys.argv) > 2): 
 box_back = int(sys.argv[2])
if (len(sys.argv) > 3): 
 box_front = int(sys.argv[3])
if (len(sys.argv) > 4): 
 y_col = int(sys.argv[4])
if (len(sys.argv) > 5): 
 x_col = int(sys.argv[5])

# open input file
f = open(inputFileName)

# make list from lines in file
lines = f.readlines()

# make sure boxcar average will work
if ((box_back + box_front + 1) > len(lines)):
 print ""
 print "ERROR: too many points for boxcar averaging."
 print ""
 exit()

# this is the number of points encompassed in the boxcar average
num_points = box_back + box_front + 1 

# this variable is the running sum.
sum_vals = 0

# add up values for first boxcar average
for i_ in range(0,num_points):
 sum_vals += float(lines[i_].split()[y_col-1])
print float(lines[box_back].split()[x_col-1]),sum_vals/num_points

# each subsequent average differs only in the first and last points from the
# previous average.
for i_ in range(box_back+1,len(lines)-box_front):
 sum_vals += float(lines[i_+box_front].split()[y_col-1])
 sum_vals -= float(lines[i_-box_back-1].split()[y_col-1])
 print float(lines[i_].split()[x_col-1]),sum_vals/num_points