can i plot 2 figure using plot.plot

Hi Diego,

you actually already answered yourself :-)

> i don't want use subplots.

then use plot.plot(subPlots=False) # [1]

########################
from yade import plot
plot.data = dict(a=[0,1,2],b=[2,4,8],c=[4,5,6],d=[8,6,5]) # normally
created by plot.addData(...)
plot.plots = {'a':'b', 'c':'d'}
plot.plot(subPlots=False)
########################

if you want two plots with the same horizontal axis, use space in
plot.plots:

########################
plot.plots = {'a':'b', 'a ':'d'} # note the space in the second 'a ', [2]
plot.plot(subPlots=False)
########################

if this is impossible i use matplotlib and then the question is, are there
> any analog function to plot.addData.

it is also possible, e.g. to create some more sophisticated graphs.
plot.data is just plain python dictionary, whose keys are variable names
and values are lists of saved values. So you have all the data and can do
whatever you want with them

cheers
Jan

PS: a MWE [3] is always useful, e.g. to see what you have already tried etc.

[1] https://yade-dem.org/doc/yade.plot.html#yade.plot.plot
[2] https://yade-dem.org/doc/user.html#multiple-figures
[3] https://yade-dem.org/wiki/Howtoask

thanks jan,

firstly i believe that my level in YADE is noob, secondly i meant to say that i don't want use ONLY subplots, i'm working with extended granulometry (PSDSize) searching a critical hydraulics gradient when piping begins. my plot data is as follows:

    plot.addData(Vmf=velMeanFino, VMaxf=velMaxFino,Vmg=velMeanGros, VMaxg=velMaxGros, i=__builtin__.time1, i1=__builtin__.time1 , i2=O.iter, ic=__builtin__.icr, ii=it, Gf=Gfp, Gg=Ggp, Tf=tensf, Tg=tensg)

and i want to plot two figure, but i can't. this is my specific question, i checked [1] and [2] previously and also checked other question and didn't find any similar

plot.plots={'i':('Gf', 'Gg'), 'i1':('Tf','Tg')}
plot.plot()

plot.plots={'i':('VMaxf', 'Vmf', 'VMaxg', 'Vmg'), 'i1':('ic', 'ii') }
plot.plot()

do you understand me??
Regards

Thanks Jan Stránský, that solved my question.