I am using the following code to get a graph:
set term jpeg size "600,600"
set output "test2.jpeg"
unset key
set xtic 500
set ytic 100
set title "DD-ME2"
plot "nkBDDME2.out" us 2:1 lc -1 lw 2 with lines , "nkDDME2.out" us 2:1 lc rgb "#FF4433" pt 5 ps 0.5
plot
In the plot, the points are very close together making the other line less visible. Is there any way to plot alternate data points to space out the points? Is there any way of doing this without directly manipulating the data file by deleting the alternate data values?
Related
I have a XRD data and when I plot it I want to have this kind of graph. Anyway, excel has a problem to plot too large data and I want to plot it with Gnuplot and here is my code
set title "GNUPLOT RESULT"
set xlabel "Wavelength 2Theta"
set ylabel "Intensity"
set xrange [20:90]
set key right center
set terminal pngcairo size 1600, 1000 enhanced font "Arial,16"
set output "Allt-XRD.png"
plot "AllW" using 1:2 w p pt 7 ps 2 lc rgb "orange" title "point", "AllW" using 1:2 smooth acspline lw 3 lc rgb 'blue' title 'spline'
But what it produces, it does not connect all dots/points and I do not know but somehow it has a preferences (is it a weight point?) to connecting them.
Question
How can I connect all the dots as seen at excel graph with Gnuplot
Thanks in advance
P.S: I tried all bunch of smooth version acscpline' cspline' bezier etc. it did not work
Edit 1: The line plot who wonders why I do not try it
Edit 2: The worked answer of user8153 : Use decimal data point not an integer. Both spline and points option plot perfectly the data as it seen below
How XRD data looks like, it is too long so I pasted only a few of them
Wavelength = 1.54059 Å (Cu)
Angle Intensity
20.00243 1467
20.02869 1533
20.05495 1482
20.08121 1468
20.10747 1376
20.13374 1421
20.16000 1433
20.18626 1380
20.21252 1431
20.23878 1405
20.26504 1357
20.29130 1374
20.31756 1413
Your with points plot shows that your data contains only integer values of the wavelength, but each value has multiple intensities associated with it. Is that really what the data should look like, or was there some mistake that chopped off the values of the wavelengths after the decimal point? Maybe your data file uses a symbol for the decimal point that gnuplot doesn't recognize? If so, use set decimalsign so gnuplot realizes that you are feeding it floating point numbers.
As it is, gnuplot does precisely what you tell it to do: it plots all these points at the same x coordinate, and connects them with lines if you use with lines, which are then by construction vertical.
You told it to plot "with points pointtype 7 pointsize 2" (shorthand "w p pt 7 ps 2"). So it did.
If you want it to plot with lines then say "with lines".
plot "AllW" using 1:2 with lines lc rgb "orange" title "lines"
I am using gnuplot to plot data from two separate csv files (found in this link: https://drive.google.com/open?id=0B2Iv8dfU4fTUZGV6X1Bvb3c4TWs) with a different number of rows which generates the following graph.
These data seem to have no common timestamp (the first column) in both csv files and yet gnuplot seems to fit the plotting as shown above.
Here is the gnuplot script that I use to generate my plot.
# ###### GNU Plot
set style data lines
set terminal postscript eps enhanced color "Times" 20
set output "output.eps"
set title "Actual vs. Estimated Comparison"
set style line 99 linetype 1 linecolor rgb "#999999" lw 2
#set border 1 back ls 11
set key right top
set key box linestyle 50
set key width -2
set xrange [0:10]
set key spacing 1.2
#set nokey
set grid xtics ytics mytics
#set size 2
#set size ratio 0.4
#show timestamp
set xlabel "Time [Seconds]"
set ylabel "Segments"
set style line 1 lc rgb "#ff0000" lt 1 pi 0 pt 4 lw 4 ps 0
plot "estimated.csv" using ($1):2 with lines title "Estimated", "actual.csv" using ($1):2 with lines title "Actual";
Is there any way where we can print out (write to a file) the values of the intersection of these plots by ignoring the peaks above green plot? I also have tried to do an sql-join query but it doesn't seem to print out anything for the same reason I explained above.
PS: If the blue line doesn't touch the green line (i.e. if it is way below the green line), I want to take the values of the closest green line so that it will be a one-to-one correspondence (or very close) with the actual dataset.
Perhaps one could somehow force Gnuplot to reinterpolate both data sets on a fine grid, save this auxiliary data and then compare it row by row. However, I think that it's indeed much more practical to delegate this task to an external tool.
It's certainly not the most efficient way to do it, nevertheless a "lazy approach" could be to read the data points, interpret each dataset as a LineString (collection of line segments, essentially equivalent to assuming a linear interpolation between data points) and then calculate the intersection points. In Python, the script to do this might look like this:
#!/usr/bin/env python
import sys
import numpy as np
from shapely.geometry import LineString
#-------------------------------------------------------------------------------
def load_data(fname):
return LineString(np.genfromtxt(fname, delimiter = ','))
#-------------------------------------------------------------------------------
lines = list(map(load_data, sys.argv[1:]))
for g in lines[0].intersection(lines[1]):
if g.geom_type != 'Point':
continue
print('%f,%f' % (g.x, g.y))
Then in Gnuplot, one can invoke it directly:
set terminal pngcairo
set output 'fig.png'
set datafile separator comma
set yr [0:700]
set xr [0:10]
set xtics 0,2,10
set ytics 0,100,700
set grid
set xlabel "Time [seconds]"
set ylabel "Segments"
plot \
'estimated.csv' w l lc rgb 'dark-blue' t 'Estimated', \
'actual.csv' w l lc rgb 'green' t 'Actual', \
'<python filter.py estimated.csv actual.csv' w p lc rgb 'red' ps 0.5 pt 7 t ''
which gives:
If I set a specific yrange and plot in a pdf terminal with this plot command:
plot "data.dat" u 1:4:5:6 w yerrorbars pt 6 ps 0.5 t "R_t"
errorbars that belong to data points outside the yrange, but end inside the yrange are not shown.
How do I force gnuplot to draw those. I already tried "set clip one/two"
The only workaround I found is to plot the data 3 times, once for the central point and once for each side of the error bar.
Use "-" as symbol for the errorbars and use their own "errorbars" to draw a line to the central point.
You could use multiplot to achieve this.
Set your plot to have zero margins, so the axes are on the border of the canvas, and switch of all tics and borders for the first plot.
Switch on the axes, tics etc. again, and do an empty plot that you set at the correct position using set size and set origin. You'll have to do some math to calculate the exact position.
#MaVo159, you can reduce it to plotting only twice by using with yerrorbars and with vectors (check help vectors). You need to set the proper arrow style, check help arrowstyle.
However, this works only for gnuplot>=5.2.3, for earlier versions there seems to be a bug which plots the arrowhead at the wrong side for some of the vectors extending the graph.
You nevertheless have to plot once with yerrorbars in order to get the proper legend.
Script: (works for gnuplot>=5.2.3, May 2018)
### plot errorbars from points outside the range
reset
$Data <<EOD
1 9 5.11 8.32
2 8 6.20 9.22
3 6 5.31 6.31
4 5 4.41 5.51
5 4 3.31 4.71
6 2.9 2.81 3.71
7 2 1.11 3.41
EOD
set yrange[3:7]
set offsets 1,1,0,0
set style arrow 1 heads size 0.05,90 lw 2 lc 1
set multiplot layout 2,1
plot $Data u 1:2:3:4 w yerrorbars pt 6 ps 2 lw 2
plot $Data u 1:2:3:4 w yerrorbars pt 6 ps 2 lw 2, \
'' u 1:3:(0):($4-$3) w vec as 1 notitle
unset multiplot
### end of script
Result:
You could modify your data file: Because the central value of the data point is outside the plot range you could set it equal to the errorbar's end point that would be still visible in your plot.
Example:
plot range: set yrange[-2:2]
data point: 1, -3, -1, -4 (x, y, ylow, yhigh)
set data point to: 1, -1, -1, -4
Attention: Since you have to edit your data file you should
Make a copy of the original data file
Be very careful when editing the file
Keep in mind, that when changing the plot range such that the central
value of the data point becomes visible you have to use the original data point. Otherwise you will see the correct error bar but there will be no central value plotted. (this is equivalent to setting 'point type' to 0)
I have a gnuplot script which plots a histogram. I used the following syntax:
set style data histogram
set style histogram cluster gap 2
set style fill solid
set logscale y
rgb(r,g,b) = int(r)*65536 + int(g)*256 + int(b)
plot 'histogram_data' using (column(0)):2:(0.5):(rgb($3,$4,$5)):xticlabels(1) w boxes notitle lc rgb variable
What the last line does is: using column 1 as x labels, column 2 as the height of the histogram bars, 0.5 as box width, and columns 3, 4 and 5 as the rgb values to colour the bars.
Now, the problem is that modifying the gap parameter in line 2 does not change in any way the spacing between bars, even though as far as I understand that is the correct way to adjust such spacing. I am using gnuplot 4.6 patchlevel 4.
I found a way to do this with boxes, though I do not consider it very clean:
plot 'histogram_data' u (column(0)*2+1):2 w boxes notitle lc rgb 'white',\
'histogram_data' u (column(0)*2):2:(rgb($3,$4,$5)):xticlabels(1) w boxes notitle lc rgb variable;
This command is plotting all the data of the main plot on even slots and a white box on odd slots. So the first line in the plot command is plotting the gaps between every box of the plot (the width of these gaps can be specified using the boxwidth property I think but I haven't tested this), while the second line is drawing the actual plot.
I could not find a way to do this with the histogram plotting style, keeping the variable colours specified in the data file.
I would like to reproduce this plot with gnuplot:
My data has this format:
Data
1: time
2: price
3: volume
I tried this:
plot file using 1:2 with lines, '' using 1:3 axes x1y2 with impulses
Which gives a normal time series chart with y1 as price and y2 as volume.
Next, I tried:
plot file using 2:1 with lines, '' using 2:3 axes x1y2 with impulses
Which gives prices series with y1 as time and y2 as volume.
However, I need the price to remain at y1 and volume at x2.
Maybe something like:
plot file using 1:2 with lines,' ' using 2:3 axes y1x2 with impulses
However, that does not give what I want.
Gnuplot has no official way to draw this kind of horizontal boxplots. However, you can use the boxxyerrorbars (shorthand boxxy) to achieve this.
As I don't have any test data of your actual example, I generated a data file from a Gaussian random-walk. To generate the data run the following python script:
from numpy import zeros, savetxt, random
N = 500
g = zeros(N)
for i in range(1, N):
g[i] = g[i-1] + random.normal()
savetxt('randomwalk.dat', g, delimiter='\t', fmt='%.3f')
As next thing, I do binning of the 'position data' (which in your case would be the volume data). For this one can use smooth frequency. This computes the sum of the y values for the same x-values. So first I use a proper binning function, which returns the same value for a certain range (x +- binwidth/2). The output data is saved in a file, because for the plotting we must exchange x and y value:
binwidth = 2
hist(x) = floor(x+0.5)/binwidth
set output "| head -n -2 > randomwalk.hist"
set table
plot 'randomwalk.dat' using (hist($1)):(1) smooth frequency
unset table
unset output
Normally one should be able to use set table "randomwalk.hist", but due to a bug, one needs this workaround to filter out the last entry of the table output, see my answer to Why does the 'set table' option in Gnuplot re-write the first entry in the last line?.
Now the actual plotting part is:
unset key
set x2tics
set xtics nomirror
set xlabel 'time step'
set ylabel 'position value'
set x2label 'frequency'
set style fill solid 1.0 border lt -1
set terminal pngcairo
set output 'randwomwalk.png'
plot 'randomwalk.hist' using ($2/2.0):($1*binwidth):($2/2.0):(binwidth/2.0) with boxxy lc rgb '#00cc00' axes x2y1,\
'randomwalk.dat' with lines lc rgb 'black'
which gives the result (with 4.6.3, depends of course on your random data):
So, for your data structure, the following script should work:
reset
binwidth = 2
hist(x) = floor(x+0.5)/binwidth
file = 'data.txt'
histfile = 'pricevolume.hist'
set table histfile
plot file using (hist($2)):($3) smooth unique
unset table
# get the number of records to skip the last one
stats histfile using 1 nooutput
unset key
set x2tics
set xtics nomirror
set xlabel 'time'
set ylabel 'price'
set x2label 'volume'
set style fill solid 1.0 border lt -1
plot histfile using ($2/2.0):($1*binwidth):($2/2.0):(binwidth/2.0) every ::::(STATS_records-2) with boxxy lc rgb '#00cc00' axes x2y1,\
file with lines using 1:2 lc rgb 'black'
Note, that this time the skipping of the last table entry is done by counting all entries with the stats command, and skipping the last one with every (yes, STATS_records-2 is correct, because the point numbering starts at 0). This variant doesn't need any external tool.
I also use smooth unique, which computes the average value of the , instead of the sum (which is done with smooth frequency).