Is there a way to plot a function based on values from a text file?
I know how to define a function in gnuplot and then plot it but that is not what I need.
I have a table with constants for functions that are updated regularly. When this update happens I want to be able to run a script that draws a figure with this new curve. Since there are quite few figures to draw I want to automate the procedure.
Here is an example table with constants:
location a b c
1 1 3 4
2
There are two ways I see to solve the problem but I do not know if and how they can be implemented.
I can then use awk to produce the string: f(x)=1(x)**2+3(x)+4, write it to a file and somehow make gnuplot read this new file and plot on a certain x range.
or use awk inside gnuplot something like f(x) = awk /1/ {print "f(x)="$2 etc., or use awk directly in the plot command.
I any case, I'm stuck and have not found a solution to this problem online, do you have any suggestions?
Another possibilty to have a somewhat generic version for this, you can do the following:
Assume, the parameters are stored in a file parameters.dat with the first line containing the variable names and all others the parameter sets, like
location a b c
1 1 3 4
The script file looks like this:
file = 'parameters.dat'
par_names = system('head -1 '.file)
par_cnt = words(par_names)
# which parameter set to choose
par_line_num = 2
# select the respective string
par_line = system(sprintf('head -%d ', par_line_num).file.' | tail -1')
par_string = ''
do for [i=1:par_cnt] {
eval(word(par_names, i).' = '.word(par_line, i))
}
f(x) = a*x**2 + b*x + c
plot f(x) title sprintf('location = %d', location)
This question (gnuplot store one number from data file into variable) had some hints for me in the first answer.
In my case I have a file which contains parameters for a parabola. I have saved the parameters in gnuplot variables. Then I plot the function containing the parameter variables for each timestep.
#!/usr/bin/gnuplot
datafile = "parabola.txt"
set terminal pngcairo size 1000,500
set xrange [-100:100]
set yrange [-100:100]
titletext(timepar, apar, cpar) = sprintf("In timestep %d we have parameter a = %f, parameter c = %f", timepar, apar, cpar)
do for [step=1:400] {
set output sprintf("parabola%04d.png", step)
# read parameters from file, where the first line is the header, thus the +1
a=system("awk '{ if (NR == " . step . "+1) printf \"%f\", $1}' " . datafile)
c=system("awk '{ if (NR == " . step . "+1) printf \"%f\", $2}' " . datafile)
# convert parameters to numeric format
a=a+0.
c=c+0.
set title titletext(step, a, c)
plot c+a*x**2
}
This gives a series of png files called parabola0001.png,
parabola0002.png,
parabola0003.png,
…, each showing a parabola with the parameters read from the file called parabola.txt. The title contains the parameters of the given time step.
For understanding the gnuplot system() function you have to know that:
stuff inside double quotes is not parsed by gnuplot
the dot is for concatenating strings in gnuplot
the double quotes for the awk printf command have to be escaped, to hide them from gnuplot parser
To test this gnuplot script, save it into a file with an arbitrary name, e.g. parabolaplot.gplot and make it executable (chmad a+x parabolaplot.gplot). The parabola.txt file can be created with
awk 'BEGIN {for (i=1; i<=1000; i++) printf "%f\t%f\n", i/200, i/100}' > parabola.txt
awk '/1/ {print "plot "$2"*x**2+"$3"*x+"$4}' | gnuplot -persist
Will select the line and plot it
This was/is another question about how to extract specific values into variables with gnuplot (maybe it would be worth to create a Wiki entry about this topic).
There is no need for using awk, you can do this simply with gnuplot only (hence platform-independent), even with gnuplot 4.6.0 (March 2012).
You can do a stats (check help stats) and assign the values to variables.
Data: SO15007620_Parameters.txt
location a b c
1 1 3 4
2 -1 2 3
3 2 1 -1
Script: (works with gnuplot 4.6.0, March 2012)
### read parameters from separate file into variables
reset
FILE = "SO15007620_Parameters.txt"
myLine = 1 # line index 0-based
stats FILE u (a=$2, b=$3, c=$4) every ::myLine::myLine nooutput
f(x) = a*x**2 + b*x + c
plot f(x) w l lc rgb "red" ti sprintf("f(x) = %gx^2 + %gx + %g", a,b,c)
### end of script
Result:
Related
Whenever I use read.csv.sql I cannot select from the first column with and any output from the code places an unusual character (A(tilde)-..) at the begging of the first column's name.
So suppose I create a df.csv file in in Excel that looks something like this
df = data.frame(
a = 1,
b = 2,
c = 3,
d = 4)
Then if I use sqldf to query the csv which is in my working directory I get the following error:
> read.csv.sql("df.csv", sql = "select * from file where a == 1")
Error in result_create(conn#ptr, statement) : no such column: a
If I query a different column than the first, I get a result but with the output of the unusual characters as seen below
df <- read.csv.sql("df.csv", sql = "select * from file where b == 2")
View(df)
Any idea how to prevent these characters from being added to the first column name?
The problem is presumably that you have a file that is larger than R can handle and so only want to read a subset of rows into R and specifying the condition to filter it by involves referring to the first column whose name is messed up so you can't use it.
Here are two alternative approaches. The first one involves a bit more code but has the advantage that it is 100% R. The second one is only one statement and also uses R but additionally makes use an of an external utility.
1) skip header Read the file in skipping over the header. That will cause the columns to be labelled V1, V2, etc. and use V1 in the condition.
# write out a test file - BOD is a data frame that comes with R
write.csv(BOD, "BOD.csv", row.names = FALSE, quote = FALSE)
# read file skipping over header
DF <- read.csv.sql("BOD.csv", "select * from file where V1 < 3",
skip = 1, header = FALSE)
# read in header, assign it to DF and fix first column
hdr <- read.csv.sql("BOD.csv", "select * from file limit 0")
names(DF) <- names(hdr)
names(DF)[1] <- "TIME" # suppose we want TIME instead of Time
DF
## TIME demand
## 1 1 8.3
## 2 2 10.3
2) filter Another way to proceed is to use the filter= argument. Here we assume we know that the end of the column name is ime but there are other characters prior to that that we don't know. This assumes that sed is available and on your path. If you are on Windows install Rtools to get sed. The quoting might need to be changed depending on your shell.
When trying this on Windows I noticed that sed from Rtools changed the line endings so below we specified eol= to ensure correct processing. You may not need that.
DF <- read.csv.sql("BOD.csv", "select * from file where TIME < 3",
filter = 'sed -e "1s/.*ime,/TIME,/"' , eol = "\n")
DF
## TIME demand
## 1 1 8.3
## 2 2 10.3
So I figured it out by reading through the above comments.
I'm on a Windows 10 machine using Excel for Office 365. The special characters will go away by changing how I saved the file from a "CSV UTF-8 (Comma Delimited)" to just "CSV (Comma delimited)".
I am using read.csv.sql to conditionally read in data (my data set is extremely large so this was the solution I chose to filter it and reduce it in size prior to reading the data in). I was running into memory issues by reading in the full data and then filtering it so that is why it is important that I use the conditional read so that the subset is read in, versus the full data set.
Here is a small data set so my problem can be reproduced:
write.csv(iris, "iris.csv", row.names = F)
library(sqldf)
csvFile <- "iris.csv"
I am finding that the notation you have to use is extremely awkward using read.csv.sql the following is the how I am reading in the file:
# Step 1 (Assume these values are coming from UI)
spec <- 'setosa'
petwd <- 0.2
# Add quotes and make comma-separated:
spec <- toString(sprintf("'%s'", spec))
petwd <- toString(sprintf("'%s'", petwd))
# Step 2 - Conditionally read in the data, store in 'd'
d <- fn$read.csv.sql(csvFile, sql='select * from file where
"Species" in ($spec)'
and "Petal.Width" in ($petwd)',
filter = list('gawk -f prog', prog = '{ gsub(/"/, ""); print }'))
My main problem is that if any of the values above (from UI) are null then it won't read in the data properly, because this chunk of code is all hard coded.
I would like to change this into: Step 1 - check which values are null and do not filter off of them, then filter using read.csv.sql for all non-null values on corresponding columns.
Note: I am reusing the code from this similar question within this question.
UPDATE
I want to clear up what I am asking. This is what I am trying to do:
If a field, say spec comes through as NA (meaning the user did not pick input) then I want it to filter as such (default to spec == EVERY SPEC):
# Step 2 - Conditionally read in the data, store in 'd'
d <- fn$read.csv.sql(csvFile, sql='select * from file where
"Petal.Width" in ($petwd)',
filter = list('gawk -f prog', prog = '{ gsub(/"/, ""); print }'))
Since spec is NA, if you try to filter/read in a file matching spec == NA it will read in an empty data set since there are no NA values in my data, hence breaking the code and program. Hope this clears it up more.
There are several problems:
some of the simplifications provided in the link in the question were not followed.
spec is a scalar so one can just use '$spec'
petwd is a numeric scalar and SQL does not require quotes around numbers so just use $petwd
the question states you want to handle empty fields but not how so we have used csvfix to map them to -1 and also strip off quotes. (Alternately let them enter and do it in R. Empty numerics will come through as 0 and empty character fields will come through as zero length character fields.)
you can use [...] in place of "..." in SQL
The code below worked for me in both Windows and Ubuntu Linux with the bash shell.
library(sqldf)
spec <- 'setosa'
petwd <- 0.2
d <- fn$read.csv.sql(
"iris.csv",
sql = "select * from file where [Species] = '$spec' and [Petal.Width] = $petwd",
verbose = TRUE,
filter = 'csvfix map -smq -fv "" -tv -1'
)
Update
Regarding the update at the end of the question it was clarified that the NA could be in spec as opposed to being in the data being read in and that if spec is NA then the condition involving spec should be regarded as TRUE. In that case just expand the SQL where condition to handle that as follows.
spec <- NA
petwd <- 0.2
d <- fn$read.csv.sql(
"iris.csv",
sql = "select * from file
where ('$spec' == 'NA' or [Species] = '$spec') and [Petal.Width] = $petwd",
verbose = TRUE,
filter = 'csvfix echo -smq'
)
The above will return all rows for which Petal.Width is 0.2 .
In Gnuplot, I try to assign a value to a function f(x) from a two column data file in order to plot that function as a horizontal line.
f(x)=value of $2 at $1==2 from filename.dat
plot 'filename.dat' , ' ' x<=2?f(x):1/0
I tried :
awk '$1==2,print{$2}' filename.dat
but it says :
Warning: encountered a string when expecting a number
Did you try to generate a file name using dummy variable x or y?".
Any suggestions?
P.S.: I know that there should be a < sign after awk, but it would not display it here.
I suggest this approach:
filename = "test.txt"
y = system(sprintf("awk '$1==2{print $2}' %s", filename))
f(x)=real(y)
plot filename u 1:2 w l, f(x) t ''
It seems that gnuplot is interpreting the value of y as a string. Therefore, we have to enforce a conversion to a number, which I do by converting it to a real number. (Another possibility f(x)=y+0)
Here is the ouput for my demo test.txt with the following content:
1 1
2 0.5
3 0
I would like awk to print every nth line out of a file starting from line 0. Then, after awk has gone through the whole file, I would like it to print every nth line starting from line 1...then print every nth line starting from line 2...etc, up to printing every nth line starting from line n-1. My sad attempt thus far:
#!/bin/bash
rm *.sad *.sadd *.out
#Create loop index
for i in $(seq 20 1 36);
do
listm+=($i)
done
#Create input file
for j in "${listm[#]}"
do
if [ $j -eq 20 ];
then
awk 'NR % 20 == 0' vel_VMDout > atomvel.dat
awk '{print $2,$3,$4}' atomvel.dat > velocity.dat
else
awk 'NR % 20 == 1' vel_VMDout > $j.sad
egrep -v "^[[:space:]]*$|^#" $j.sad > $j.sadd
awk '{print $2, $3, $4}' $j.sadd > $j.out
paste velocity.dat $j.out > taste
fi
done
Let me try to clarify this by providing the input and what the output should look like. Th input is an xyz file of an MD simulation consisting of frames of the atoms' xyz coordinates.
INPUT:
This image shows the 1st snapshot and part of the second snapshot. Because these are snapshot, the ordering of the atoms do not change. Thus, I am trying to print the xyz coordinates from each snapshot for each specific atom in their own columns as shown below. This would eventually make a file consisting of 3N columns, where N is the number of atoms.
OUTPUT:
As you can see, the each atoms' coordinates are in their own columns and the total file is a Nx3N array. My bash script was me trying to do this, but could only do the first two atoms. I wanted to print every nth line (coordinates of the nth atom) so they look like the output. I really appreciate your patience all.
Generating sample data
This is a step that should not be necessary; the question should have included usable sample data and the required output from that sample data.
At one level, it won't help much because you don't have my random number generator program, but the script below shows how I generated the data that follows, and it illustrates the lengths to which it might be necessary to go when the question doesn't supply readable data. I generated some data that looks similar to the data in the question (at least superficially):
18
Generated by VMD in absentia
C 0.979485 -6.665347 0.575383
C 1.191999 -3.002386 2.859484
C 3.151517 -5.610077 0.429413
C 3.439828 -6.454984 1.319724
C 3.726201 -0.123038 2.096854
C 1.363325 -3.031238 0.016019
C 6.090283 -3.915340 2.396358
C 0.407755 -7.957784 -0.846842
C 0.203074 -0.796428 2.659573
O 2.600610 -2.259674 -0.260378
O 4.773839 -6.765097 0.588508
H 2.743424 -2.890016 2.906452
H 2.810233 -6.641054 -0.797672
H 6.854169 -3.191721 -0.925670
O 2.914233 -1.060001 0.776983
H 3.803923 -1.497032 2.908799
H 5.669443 -7.227666 -0.647552
H 0.092455 -5.850637 2.959987
18
Generated by VMD in absentia
C 6.042840 -7.254720 2.093573
C 2.551942 -6.044322 2.061072
C 3.523150 -6.167163 2.451689
C 5.197316 -3.429866 -0.412062
C 2.548777 -6.422851 1.282846
C 3.775197 -2.012031 1.377440
C 3.405112 -3.206415 -0.879886
C 1.448359 -5.419629 0.467291
C 3.661964 -2.789234 2.644294
O 4.214854 -2.439574 -0.951704
O 5.297609 -2.320418 2.709898
H 2.653940 -4.431080 -0.511743
H 5.040635 -0.676199 -0.590970
H 1.546725 -1.294582 2.562937
O 4.231461 -7.180908 1.629901
H 3.297836 -1.557133 -0.133280
H 3.442481 -4.489962 2.111930
H 1.423611 -7.982655 0.715618
18
Generated by VMD in absentia
C 1.432495 -7.686243 2.525734
C 5.038409 -4.976270 2.826846
C 6.184137 -7.303094 2.711561
C 3.208125 -0.606556 1.978725
C 2.171859 -6.792060 0.678988
C 6.521124 -5.622797 -0.773797
C 1.725619 -5.768633 -0.223397
C 3.602427 -2.325680 1.762008
C 1.937521 -1.686895 1.743159
O 0.745526 -0.114246 -0.949490
O 4.754360 -6.531145 1.998913
H 1.114732 -1.158810 1.486939
H 6.410490 -5.411647 0.062737
H 4.164330 -6.743763 1.802804
O 2.587841 -3.979700 2.609748
H 2.192073 -2.815376 -0.809569
H 5.501795 -2.326438 1.325829
H 3.285032 -1.212541 1.284453
18
Generated by VMD in absentia
C 3.564424 -3.117406 -0.032879
C 2.894745 -0.632591 0.532311
C 3.384916 -5.383135 1.179585
C 0.793488 -0.894539 -0.886891
C 1.348785 -6.501867 1.648604
C 2.189941 -2.438067 0.616090
C 2.043378 -4.966472 0.691603
C 3.124161 -5.792896 0.545362
C 5.741472 -0.640590 2.825374
O 0.300550 -7.149663 0.942726
O 1.344387 -0.121382 2.169401
H 4.963296 -0.964665 -0.230523
H 6.651423 -4.905053 2.509626
H 5.059694 -6.166516 0.102255
O 5.046864 -3.288883 0.853948
H 2.389007 -3.057664 1.806301
H 2.365876 -0.956860 1.458959
H 2.892502 -0.097422 -0.531714
The script I used to do it was:
random -n $((4 * 18)) -T '%8:6[0:7]F %8:6[-8:0]F %8:6[-1:3]F' |
awk 'BEGIN { n = split("CCCCCCCCCOOHHHOHHH", atoms, ""); atoms[0] = atoms[n] }
NR % n == 1 { print n; print " Generated by VMD in absentia" }
{ print "", atoms[NR%18], " ", $0 }'
The -n option to random says how many rows to generate; I chose 72. The -T option is a template, and the notation %8:6[0:7]F means use %8.6F format to print uniformly distributed random numbers between 0 and 7. The awk script takes the data that is so generated and interpolates the noise (the number of atoms and a variant on the 'generated by VMD' line), as well as tagging the lines with the appropriate atomic symbol.
Processing the sample data
Given some data, you then need to munge it to get the required output. This script more or less does the job. There are endless ways it should be improved, of course, such as taking file names as command line arguments, using temporary file names instead of fixed names, cleaning up the intermediate files, different compounds, different atoms (nitrogen, phosphorous, etc), and so on. However, it should adapt reasonably easily.
input="data"
output="output"
n=$(sed 1q "$input")
n2=$(($n+2))
for ((i = 3; i <= n2; i++))
do
colno=$(printf "%.2d" $(($i-2)))
awk -v N=$n2 -v R=$i \
' BEGIN { name["C"] = "Carbon"; name["H"] = "Hydrogen"; name["O"] = "Oxygen";
R0 = R % N }
NR > 2 && NR <= R { count[$1]++; }
NR == R { printf "%-32.32s\n", name[$1] " " count[$1]; }
NR % N == R0 { xyz = sprintf("%s %s %s", $2, $3, $4); printf "%-32.32s\n", xyz }
' "$input" > "column.$colno"
done
paste -d ' ' column.* > "$output"
The first four lines set up the control parameters, collecting the number of lines per unit of data from the input file, and adjusting things accordingly. The for loop iterates over offsets 3 to $n2 inclusive (skipping the two header lines), and runs the awk script. That encodes atom types (BEGIN), determines which atom it is processing this time (NR > 2 && NR <= R and NR == R), and then arranges to print the triplets of data for the relevant atom. The formatting is carefully organized so that the column headings and the actual xyz-triplets are uniformly spaced. These are written to a file column.$colno. When all's done, the column.* files are pasted to generate a single output file, which looks like this:
Carbon 1 Carbon 2 Carbon 3 Carbon 4 Carbon 5 Carbon 6 Carbon 7 Carbon 8 Carbon 9 Oxygen 1 Oxygen 2 Hydrogen 1 Hydrogen 2 Hydrogen 3 Oxygen 3 Hydrogen 4 Hydrogen 5 Hydrogen 6
0.979485 -6.665347 0.575383 1.191999 -3.002386 2.859484 3.151517 -5.610077 0.429413 3.439828 -6.454984 1.319724 3.726201 -0.123038 2.096854 1.363325 -3.031238 0.016019 6.090283 -3.915340 2.396358 0.407755 -7.957784 -0.846842 0.203074 -0.796428 2.659573 2.600610 -2.259674 -0.260378 4.773839 -6.765097 0.588508 2.743424 -2.890016 2.906452 2.810233 -6.641054 -0.797672 6.854169 -3.191721 -0.925670 2.914233 -1.060001 0.776983 3.803923 -1.497032 2.908799 5.669443 -7.227666 -0.647552 0.092455 -5.850637 2.959987
6.042840 -7.254720 2.093573 2.551942 -6.044322 2.061072 3.523150 -6.167163 2.451689 5.197316 -3.429866 -0.412062 2.548777 -6.422851 1.282846 3.775197 -2.012031 1.377440 3.405112 -3.206415 -0.879886 1.448359 -5.419629 0.467291 3.661964 -2.789234 2.644294 4.214854 -2.439574 -0.951704 5.297609 -2.320418 2.709898 2.653940 -4.431080 -0.511743 5.040635 -0.676199 -0.590970 1.546725 -1.294582 2.562937 4.231461 -7.180908 1.629901 3.297836 -1.557133 -0.133280 3.442481 -4.489962 2.111930 1.423611 -7.982655 0.715618
1.432495 -7.686243 2.525734 5.038409 -4.976270 2.826846 6.184137 -7.303094 2.711561 3.208125 -0.606556 1.978725 2.171859 -6.792060 0.678988 6.521124 -5.622797 -0.773797 1.725619 -5.768633 -0.223397 3.602427 -2.325680 1.762008 1.937521 -1.686895 1.743159 0.745526 -0.114246 -0.949490 4.754360 -6.531145 1.998913 1.114732 -1.158810 1.486939 6.410490 -5.411647 0.062737 4.164330 -6.743763 1.802804 2.587841 -3.979700 2.609748 2.192073 -2.815376 -0.809569 5.501795 -2.326438 1.325829 3.285032 -1.212541 1.284453
3.564424 -3.117406 -0.032879 2.894745 -0.632591 0.532311 3.384916 -5.383135 1.179585 0.793488 -0.894539 -0.886891 1.348785 -6.501867 1.648604 2.189941 -2.438067 0.616090 2.043378 -4.966472 0.691603 3.124161 -5.792896 0.545362 5.741472 -0.640590 2.825374 0.300550 -7.149663 0.942726 1.344387 -0.121382 2.169401 4.963296 -0.964665 -0.230523 6.651423 -4.905053 2.509626 5.059694 -6.166516 0.102255 5.046864 -3.288883 0.853948 2.389007 -3.057664 1.806301 2.365876 -0.956860 1.458959 2.892502 -0.097422 -0.531714
Your task is to understand why all the bits of the awk script are present. For example, why is R0 needed (hint, experiment without the R0 calculation, and use R in its place).
OSX v10.6.8 and Gnuplot v4.4
I have a data file with 8 columns. I would like to take the first value from the 6th column and make it the title. Here's what I have so far:
#m1 m2 q taua taue K avgPeriodRatio time
#1 2 3 4 5 6 7 8
K = #read in data here
graph(n) = sprintf("K=%.2e",n)
set term aqua enhanced font "Times-Roman,18"
plot file using 1:3 title graph(K)
And here is what the first few rows of my data file looks like:
1.00e-07 1.00e-07 1.00e+00 1.00e+05 1.00e+04 1.00e+01 1.310 12070.00
1.11e-06 1.00e-07 9.02e-02 1.00e+05 1.00e+04 1.00e+01 1.310 12070.00
2.12e-06 1.00e-07 4.72e-02 1.00e+05 1.00e+04 1.00e+01 1.310 12070.00
3.13e-06 1.00e-07 3.20e-02 1.00e+05 1.00e+04 1.00e+01 1.310 12090.00
I don't know how to correctly read in the data or if this is even the right way to go about this.
EDIT #1
Ok, thanks to mgilson I now have
#m1 m2 q taua taue K avgPeriodRatio time
#1 2 3 4 5 6 7 8
set term aqua enhanced font "Times-Roman,18"
K = "`head -1 datafile | awk '{print $6}'`"
print K+0
graph(n) = sprintf("K=%.2e",n)
plot file using 1:3 title graph(K)
but I get the error: Non-numeric string found where a numeric expression was expected
EDIT #2
file = "testPlot.txt"
K = "`head -1 file | awk '{print $6}'`"
K=K+0 #Cast K to a floating point number #this is line 9
graph(n) = sprintf("K=%.2e",n)
plot file using 1:3 title graph(K)
This gives the error--> head: file: No such file or directory
"testPlot.gnu", line 9: Non-numeric string found where a numeric expression was expected
You have a few options...
FIRST OPTION:
use columnheader
plot file using 1:3 title columnheader(6)
I haven't tested it, but this may prevent the first row from actually being plotted.
SECOND OPTION:
use an external utility to get the title:
TITLE="`head -1 datafile | awk '{print $6}'`"
plot 'datafile' using 1:3 title TITLE
If the variable is numeric, and you want to reformat it, in gnuplot, you can cast strings to a numeric type (integer/float) by adding 0 to them (e.g).
print "36.5"+0
Then you can format it with sprintf or gprintf as you're already doing.
It's weird that there is no float function. (int will work if you want to cast to an integer).
EDIT
The script below worked for me (when I pasted your example data into a file called "datafile"):
K = "`head -1 datafile | awk '{print $6}'`"
K=K+0 #Cast K to a floating point number
graph(n) = sprintf("K=%.2e",n)
plot "datafile" using 1:3 title graph(K)
EDIT 2 (addresses comments below)
To expand a variable in backtics, you'll need macros:
set macro
file="mydatafile.txt"
#THE ORDER OF QUOTES (' and ") IS CRUCIAL HERE.
cmd='"`head -1 ' . file . ' | awk ''{print $6}''`"'
# . is string concatenation. (this string has 3 pieces)
# to get a single quote inside a single quoted string
# you need to double. e.g. 'a''b' yields the string a'b
data=#cmd
To address your question 2, it is a good idea to familiarize yourself with shell utilities -- sed and awk can both do it. I'll show a combination of head/tail:
cmd='"`head -2 ' . file . ' | tail -1 | awk ''{print $6}''`"'
should work.
EDIT 3
I recently learned that in gnuplot, system is a function as well as a command. To do the above without all the backtic gymnastics,
data=system("head -1 " . file . " | awk '{print $6}'")
Wow, much better.
This is a very old question, but here's a nice way to get access to a single value anywhere in your data file and save it as a gnuplot-accessible variable:
set term unknown #This terminal will not attempt to plot anything
plot 'myfile.dat' index 0 every 1:1:0:0:0:0 u (var=$1):1
The index number allows you to address a particular dataset (separated by two carriage returns), while every allows you to specify a particular line.
The colon-separated numbers after every should be of the form 1:1:<line_number>:<block_number>:<line_number>:<block_number>, where the line number is the line with the the block (starting from 0), and the block number is the number of the block (separated by a single carriage return, again starting from 0). The first and second numbers say plot every 1 lines and every one data block, and the third and fourth say start from line <line_number> and block <block_number>. The fifth and sixth say where to stop. This allows you to select a single line anywhere in your data file.
The last part of the plot command assigns the value in a particular column (in this case, column 1) to your variable (var). There needs to be two values to a plot command, so I chose column 1 to plot against my variable assignment statement.
Here is a less 'awk'-ward solution which assigns the value from the first row and 6th column of the file 'Data.txt' to the variable x16.
set table
# Syntax: u 0:($0==RowIndex?(VariableName=$ColumnIndex):$ColumnIndex)
# RowIndex starts with 0, ColumnIndex starts with 1
# 'u' is an abbreviation for the 'using' modifier
plot 'Data.txt' u 0:($0==0?(x16=$6):$6)
unset table
A more general example for storing several values is given below:
# Load data from file to variable
# Gnuplot can only access the data via the "plot" command
set table
# Syntax: u 0:($0==RowIndex?(VariableName=$ColumnIndex):$ColumnIndex)
# RowIndex starts with 0, ColumnIndex starts with 1
# 'u' is an abbreviation for the 'using' modifier
# Example: Assign all values according to: xij = Data33[i,j]; i,j = 1,2,3
plot 'Data33.txt' u 0:($0==0?(x11=$1):$1),\
'' u 0:($0==0?(x12=$2):$2),\
'' u 0:($0==0?(x13=$3):$3),\
'' u 0:($0==1?(x21=$1):$1),\
'' u 0:($0==1?(x22=$2):$2),\
'' u 0:($0==1?(x23=$3):$3),\
'' u 0:($0==2?(x31=$1):$1),\
'' u 0:($0==2?(x32=$2):$2),\
'' u 0:($0==2?(x33=$3):$3)
unset table
print x11, x12, x13 # Data from first row
print x21, x22, x23 # Data from second row
print x31, x32, x33 # Data from third row