![]() That is, 'set term png font "Face "' will look for a font file named either /Face.ttf or /Face.pfa. is either the full pathname to the font file, or the first part of a filename in one of the directories listed in the GDFONTPATH environmental variable. You must give the name of the font file, not the name of the font inside it, in the form " ". On most systems libgd also provides access to Adobe Type 1 fonts (*.pfa) and TrueType fonts (*.ttf). Use one of these keywords instead of the font keyword. These are tiny (5x8 pixels), small (6x12 pixels), medium, (7x13 Bold), large (8x16) or giant (9x15 pixels). ![]() Five basic fonts are provided directly by libgd. Set term pdfcairo font "Times-New-Roman,12" Gd (png, gif, jpeg, sixel terminals) Font handling for the png, gif, jpeg, and sixelgd terminals is done by the library libgd. The following will probably all work: set term pdfcairo font "sans,12" It is usually sufficient in gnuplot to request a font by a generic name and size, letting fontconfig substitute a similar font if necessary. Cairo (pdfcairo, pngcairo, epscairo, wxt terminals) These terminals find and access fonts using the external fontconfig tool set. the Adobe Symbol font, the preferred method is now to specify the unicode entry point for the desired symbols using their UTF-8 encoding. For information on font use by other individual terminals, see the documentation for that terminal.Īlthough it is possible to include non-alphabetic symbols by temporarily switching to a special font, e.g. Brief documentation of font mechanisms that apply to more than one terminal type is given here. It relies on external font handling, the details of which unfortunately vary from one terminal type to another. Knowing the x and y positions of the minimum and maximum, we can easily set the arrows.Fonts Gnuplot does not provide any fonts of its own. Obviously, these distinctions make sense only, if there are more than one minimum or maximum. That would have given the position of the last minimum of the data file. The minimum of this plot is nothing, but the x position of the first minimum. What this line does is substitute min_y, when the second column (whose minimum we extracted before) is equal to the minimum, and an undefined value, 1/0, otherwise. Having done that, we retrieve the positions of the minimum and maximum, by calling a dummy plot on the columns Set label 2 'Maximum' at max_pos_x, max_y 0.3 centreįirst, we retrieve the values of the minimum and the maximum by using a dummy plot. Set label 1 'Minimum' at min_pos_x, min_y-0.3 centre Set arrow 2 from max_pos_x, max_y 0.2 to max_pos_x, max_y 0.02 lw 0.5 Set arrow 1 from min_pos_x, min_y-0.2 to min_pos_x, min_y-0.02 lw 0.5 ![]() # Automatically adding an arrow at a position that depends on the min/max The rest of the plot is trivial, and this script results in the following graph: Therefore, if we take the square root of the sum of residuals divided by the number of degrees of freedom plus one, we get the standard deviation. However, we know that the number of degrees of freedoms is one less, than the number of data points, for we fit a function with a single parameter. One of them is the sum of the residuals, which is called FIT_WSSR, while another is the number of degrees of freedom, FIT_NDF. ![]() What we utilise here is the fact that the fit function also sets a couple of variables. Mean_y w l lt 3, 'stats2.dat' u 1:2 w p pt 7 lt 1 ps 1 Mean_y stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Plot mean_y-stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Set label 2 gprintf("Standard deviation = %g", stddev_y) at 2, min_y-0.35 Set label 1 gprintf("Mean = %g", mean_y) at 2, min_y-0.2 # Plotting the range of standard deviation with a shaded background Stddev_y = sqrt(FIT_WSSR / (FIT_NDF 1 )) Easy enough, and in just a couple of lines, we created this figure In the plotting section, we produce three labels, that tell us something about the data set, and plot the data range with shaded region. You can convince yourself that this returns the average of the data set. This plot does nothing but fills in the values of the minimum and maximum of the data set. Max_y with filledcurves y1=mean_y lt 1 lc rgb "#bbddbb", \Īt the beginning of our script, we just produce some dummy data, and call a dummy plot. Plot min_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Set label 3 gprintf("Mean = %g", mean_y) at 2, max_y 0.35 Set label 2 gprintf("Maximum = %g", max_y) at 2, max_y 0.2 Set label 1 gprintf("Minimum = %g", min_y) at 2, min_y-0.2 # Plotting the minimum and maximum ranges with a shaded background
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