http://en.wikipedia.org/wiki/Wikipedia:How_to_create_graphs_for_Wikipedia_articles

Številski zapis

<gnuplot>
set size 0.5,0.5
plot [-1:1] [-0.5:0.5] 1/4
</gnuplot>

<gnuplot>
set size 0.5,0.5
plot [-1:1] [-0.5:0.5] 1./4
</gnuplot>

Funkcije

Funkcije

• Območje
• Naslov
• With - stilistika

• lt .. izbira serije pik
• lw .. debelina pike
• linesp .. poveži pike

Na voljo je tona demotov za igranje. Zadeva obsega vse od simple plottanja do celega programskega orodja za zahtevna preračunavanja. --B-D_ 21:55, 7 oktober 2006 (BST)

zapis števil

Eksponentno

3e4

Operatorji

seštevanje, odštevanje

a+b, a-b

množenje, deljenje

a*b, a/b

potenciranje

a**b

Nekaj funkcij

info grafa

unset border

<gnuplot>
set size 0.5,0.5
unset border
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

no_tics

<gnuplot>
set size 0.5,0.5
set noytics
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set noxtics
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

unset key

<gnuplot>
set size 0.5,0.5
unset key
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

_tics nomirror

<gnuplot>
set size 0.5,0.5
set xtics nomirror
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set ytics nomirror
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

_label

<gnuplot>
set size 0.5,0.5
set xlabel "x os"
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set ylabel "y os"
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

lines

<gnuplot>
set title "od tocke do tocke: lines"
plot '-' using 1:2 t '' with lines
1 3
3 7
4 16
e
</gnuplot>

<gnuplot>
set title "od tocke do tocke: linesp"
plot '-' using 1:2 t '' with linesp
1 3
3 7
4 16
e
</gnuplot>

_zerosaxis

<gnuplot>
set size 0.5,0.5
set xzeroaxis
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set yzeroaxis
plot [-pi:pi][-1:1] sin(x), cos(x)
</gnuplot>

logscale

set title "set logscale x"
dbmag(x) = 20*(-log10(sqrt(1 + x**2))+2*log10(sqrt(1+(x/50)**2))-log10(sqrt(1+(x/100)**2)))
set logscale x
plot[x=1e-1:1e4] dbmag(x)

multi-plot

Gnuplot lahko nariše več kot en graf v okno ( kot subplot v matlabu )

set multiplot;                          # get into multiplot mode
set size 1,0.5;  
set origin 0.0,0.5;   plot sin(x); 
set origin 0.0,0.0;   plot cos(x)
unset multiplot                         # exit multiplot mode

set arrow

set arrow 1 from -A,0 to A,0
set arrow 2 from 0,-M to 0,M

priprava funkcij za risanje

Funkcije

• Binv(p,q)=exp(lgamma(p+q)-lgamma(p)-lgamma(q))
• arcsin(x)=invpi/sqrt(r*r-x*x)
• beta(x)=Binv(p,q)*x**(p-1.0)*(1.0-x)**(q-1.0)
• bin_s(x)=n!/(n-int(x))!/int(x)!*p**int(x)*(1.0-p)**(n-int(x))
• bin_l(x)=exp(lgamma(n+1)-lgamma(n-int(x)+1)-lgamma(int(x)+1)+int(x)*log(p)+(n-int(x))*log(1.0-p))
• binom(x)=(n<20)?bin_s(x):bin_l(x)
• cauchy(x)=b/(pi*(b*b+(x-a)**2))
• chi(x)=exp((0.5*df1-1.0)*log(x)-0.5*x-lgamma(0.5*df1)-df1*0.5*log2)
• erlang(x)=lambda**n/(n-1)!*x**(n-1)*exp(-lambda*x)
• extreme(x)=alpha*(exp(-alpha*(x-u)-exp(-alpha*(x-u))))
• f(x)=Binv(0.5*df1,0.5*df2)*(df1/df2)**(0.5*df1)*x**(0.5*df1-1.0)/(1.0+df1/df2*x)**(0.5*(df1+df2))
• g(x)=exp(rho*log(lambda)+(rho-1.0)*log(x)-lgamma(rho)-lambda*x)
• geometric(x)=exp(log(p)+int(x)*log(1.0-p))
• halfnormal(x)=sqrt2invpi/sigma*exp(-0.5*(x/sigma)**2)
• hypgeo(x)=(int(x)>mm||int(x)<mm+n-nn)?0:mm!/(mm-int(x))!/int(x)!*(nn-mm)!/(n-int(x))!/(nn-mm-n+int(x))!*(nn-n)!*n!/nn!
• laplace(x)=0.5/b*exp(-abs(x-a)/b)
• logistic(x)=lambda*exp(-lambda*(x-a))/(1.0+exp(-lambda*(x-a)))**2
• lognormal(x)=invsqrt2pi/sigma/x*exp(-0.5*((log(x)-mu)/sigma)**2)
• maxwell(x)=fourinvsqrtpi*a**3*x*x*exp(-a*a*x*x)
• negbin(x)=exp(lgamma(r+int(x))-lgamma(r)-lgamma(int(x)+1)+r*log(p)+int(x)*log(1.0-p))
• nexp(x)=lambda*exp(-lambda*x)
• normal(x)=invsqrt2pi/sigma*exp(-0.5*((x-mu)/sigma)**2)
• pareto(x)=x<a?0:b/x*(a/x)**b
• poisson(x)=mu**int(x)/int(x)!*exp(-mu)
• rayleigh(x)=lambda*2.0*x*exp(-lambda*x*x)
• sine(x)=2.0/a*sin(n*pi*x/a)**2
• t(x)=Binv(0.5*df1,0.5)/sqrt(df1)*(1.0+(x*x)/df1)**(-0.5*(df1+1.0))
• triangular(x)=1.0/g-abs(x-m)/(g*g)
• uniform(x)=1.0/(b-a)
• weibull(x)=lambda*n*x**(n-1)*exp(-lambda*x**n)
• carcsin(x)=0.5+invpi*asin(x/r)
• cbeta(x)=ibeta(p,q,x)
• cbinom(x)=ibeta(n-x,x+1.0,1.0-p)
• ccauchy(x)=0.5+invpi*atan((x-a)/b)
• cchi(x)=igamma(0.5*df1,0.5*x)
• cerlang(x)=1.0-exp(-lambda*x)*(1.0+lambda*x+0.5*(lambda*x)**2)
• cextreme(x)=exp(-exp(-alpha*(x-u)))
• cf(x)=1.0-ibeta(0.5*df2,0.5*df1,df2/(df2+df1*x))
• cgamma(x)=igamma(rho,x)
• cgeometric(x)=(x<1)?geometric(0):geometric(x)+cgeometric(x-1)
• chalfnormal(x)=erf(x/sigma/sqrt2)
• chypgeo(x)=(x<1)?hypgeo(0):hypgeo(x)+chypgeo(x-1)
• claplace(x)=(x<a)?0.5*exp((x-a)/b):1.0-0.5*exp(-(x-a)/b)
• clogistic(x)=1.0/(1.0+exp(-lambda*(x-a)))
• clognormal(x)=cnormal(log(x))
• cnormal(x)=0.5+0.5*erf((x-mu)/sigma/sqrt2)
• cmaxwell(x)=igamma(1.5,a*a*x*x)
• cnegbin(x)=(x<1)?negbin(0):negbin(x)+cnegbin(x-1)
• cnexp(x)=1.0-exp(-lambda*x)
• cpareto(x)=x<a?0:1.0-(a/x)**b
• cpoisson(x)=1.0-igamma(x+1.0,mu)
• crayleigh(x)=1.0-exp(-lambda*x*x)
• csine(x)=x/a-sin(n*twopi*x/a)/(n*twopi)
• ct(x)=(x<0.0)?0.5*ibeta(0.5*df1,0.5,df1/(df1+x*x)):1.0-0.5*ibeta(0.5*df1,0.5,df1/(df1+x*x))
• ctriangular(x)=0.5+(x-m)/g-(x-m)*abs(x-m)/(2.0*g*g)
• cuniform(x)=(x-a)/(b-a)
• cweibull(x)=1.0-exp(-lambda*x**n)

Konstante

• fourinvsqrtpi = 2.25675833419103
• invpi = 0.318309886183791
• invsqrt2pi = 0.398942280401433
• log2 = 0.693147180559945
• sqrt2 = 1.4142135623731
• sqrt2invpi = 0.797884560802865
• twopi = 6.28318530717959
• a = 1.0
• alpha = 0.5
• b = 2.0
• df1 = 1
• df2 = 1
• g = 1.0
• lambda = 1.20919957615615
• m = 0.0
• mm = 25
• mu = 5.0
• nn = 75
• n = 10
• p = 0.4
• q = 0.5
• r = 8
• rho = 3.2
• sigma = 2.23606797749979
• u = 1.0
• xmin = 0
• xmax = 14
• ymax = 0.193014106744636
• xinc = 1

Primeri

Legendrovi polinomi

<gnuplot>
set size 0.3, 0.3
set yrange [-4: 4]
set xzeroaxis
unset border
unset key
set xtics nomirror
set ytics nomirror

P0(x) = 1
P1(x) = x
P2(x) = 3*x**2 - 1
P3(x) = 5*x**3 - 3*x
P4(x) = 35*x**4 - 30*x**2 + 3

plot [-1: 1] P0(x),P1(x), P2(x), P3(x), P4(x)
</gnuplot>

Walsheve funkcije

Multiplot

Tabela

Trigonometrične funkcije

<gnuplot>
set size 0.5,0.5
plot [-10:10] sin(x),atan(x),cos(atan(x))
</gnuplot>

<gnuplot>
set size 0.5,0.5
plot [-0.1:6.5] sin(x),cos(x)
</gnuplot>

Statistika

<gnuplot>
set size 0.5,0.5
set style fill solid 1.000000 border -1
set samples 25, 25
set noxtics
set noytics
set title "Boxes with style\nfill solid border -1" 0.000000,0.000000  font ""
set yrange [ 0.00000 : 120.000 ] noreverse nowriteback
plot [-10:10] 100/(1.0+x*x) title 'distribution' with boxes
</gnuplot>

<gnuplot>
set size 0.5,0.5
set title "Normalna distribucija"
plot [-3:3][0:1] norm(x)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set terminal png size 820,620 
set dummy u,v
set format x "%3.2f"
set format y "%3.2f"
set format z "%3.2f"
unset key
set parametric
set samples 50, 50
set style function dots
set title "Lattice test for random numbers" 0.000000,0.000000  font ""
set xlabel "rand(n) ->" 0.000000,0.000000  font ""
set xrange [ 0.00000 : 1.00000 ] noreverse nowriteback
set ylabel "rand(n + 1) ->" 0.000000,0.000000  font ""
set yrange [ 0.00000 : 1.00000 ] noreverse nowriteback
set zlabel "rand(n + 2) ->" 0.000000,0.000000  font ""
set zrange [ 0.00000 : 1.00000 ] noreverse nowriteback
splot rand(0), rand(0), rand(0)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set format x "%2.0f"
set format y "%3.2f"
set key right top Right noreverse enhanced box linetype -1 linewidth 1.000 samplen 4 spacing 1 width 0 height 0 autotitles
set label 1 "mu" at 6, 0.0193014, 0 left norotate back nopoint
set label 2 "sigma" at 8.23607, 0.108213, 0 left norotate back nopoint
set arrow 1 from 5.5, 0, 0 to 5.5, 0.178412, 0  nohead back nofilled linetype 1 linewidth 1.000
set arrow 2 from 5.5, 0.108213, 0 to 7.73607, 0.108213, 0  nohead back nofilled linetype 1 linewidth 1.000
set samples 200, 200
set xtics border mirror norotate 0.00000,1,14.0000
set ytics border mirror norotate 0.00000,0.0193014,0.193014
set title "poisson PDF using normal approximation" 0.000000,0.000000  font ""
set xlabel "k, x ->" 0.000000,0.000000  font ""
set xrange [ -1.00000 : 15.0000 ] noreverse nowriteback
set ylabel "probability density ->" 0.000000,0.000000  font ""
set yrange [ 0.00000 : 0.193014 ] noreverse nowriteback
nexp(x)=lambda*exp(-lambda*x)
normal(x)=invsqrt2pi/sigma*exp(-0.5*((x-mu)/sigma)**2)
pareto(x)=x<a?0:b/x*(a/x)**b
poisson(x)=mu**int(x)/int(x)!*exp(-mu)
mu = 5.0
invsqrt2pi = 0.398942280401433
sigma = 2.23606797749979
plot poisson(x), normal(x - 0.5)
</gnuplot>

<gnuplot>
set size 0.5,0.5
set output 'daljica.png'
unset border
unset key
set terminal png transparent nocrop enhanced size 420,320
set label 1 "(x1,y1,z1)" at 1, 3, 0 left norotate back nopoint
set label 2 "(x2,y2,z2)" at 3, 15, 0 left norotate back nopoint
set noxtics
set noytics

plot '-' using 1:2 t '' with linesp lt 1 lw 3
 1 3
 4 16
 e
</gnuplot>

 <gnuplot>
 set size 0.5,0.5
 n_i(x) = k*T*log(1/x-1) + E_F
 
 g_i = 1
 E_F=0
 T = 300
 epsilon_i = 0
 k = 0.00008617343
 plot [0:1][-0.2:0.2] n_i(x),E_F
 </gnuplot>
 

Bremenske karakteristike

MOSFET

Prevajalne karakteristike

Uporaba kompleksnih števil

A(jw) = ({0,1}*jw/({0,1}*jw+p1)) * (1/(1+{0,1}*jw/p2))
p1 = 10
p2 = 10000
set size 0.65,0.6
set dummy jw
set grid x y2
#set key default
unset key
set logscale xy
set log x2
unset log y2
set title "Amplitude and Phase Frequency Response"
set xlabel "jw (radians)"
set xrange [3 : 3e4]
set x2range [3 : 3e4]
set ylabel "magnitude of A(jw)"
set y2label "Phase of A(jw) (degrees)"
set ytics nomirror
set y2tics
set tics out
set autoscale  y
set autoscale y2
plot abs(A(jw)), 180/pi*arg(A(jw)) axes x2y2

set size 0.5,0.5
unset key
n0 = 1
n1 = -1
p0 = 0.95*{0,1}
p1 = -0.95*{0,1}
K0=40
 
H(Omega) = 10**(K0/20)*(1 - exp(-2*Omega*{0,1}))/(1 + (p0*p1) * exp(-2*Omega*{0,1}))
set dummy Omega
 
plot[0:pi] [-200:200] 20*log(abs(H(Omega)))