legend

I am currently trying to plot a large amount of data on a single plot. I have structured my representation using repeated colors and symbols. However, when plotting the final results, the legend appears slightly off because I cannot control the number of rows within it. Thus, instead of getting 5 repeated green, then 5 repeated red, 5 repeated blue then 2 other, I get 5 -4 -4 -4 (where I would have prefered 5 - 5 - 5 - 2) You can clearly see this in attached image. Right now I use these options for the legend: axp.legend(loc="lower right",ncol=4) I also had this problem a couple of times and

I'm pretty happy with the results I'm getting with R. Most of my stacked histogram plots are looking fine, e.g. and However, I have a few that have so many categories in the legend that the legend is crowing out the plot, e.g. How can I fix this? Here is my plot.r, which I call on the command line like this RScript plot.r foo.dat foo.png 1600 800 foo.dat account,operation,call_count,day cal3510,foo-method,1,2016-10-01 cra4617,foo-method,1,2016-10-03 cus4404,foo-method,1,2016-10-03 hin4510,foo-method,1,2016-10-03 mas4484,foo-method,1,2016-10-04 ... entirety of foo.dat: http://pastebin.com

I would like to centre a common legend below two plots. I have used xpd=TRUE to allow for printing outside the plot itself and oma to create space for the legend. However the legend will not move horizonatally and gets clipped 'early' vertically. Any advice? quartz(title="PCoA",12,6) par(mfrow=c(1,2),oma=c(5,0,0,0),xpd=TRUE) plot(1:3,4:6,main="plot 1") plot(1:3,4:6,main="plot 2") # Clips the plot legend(1,3.5,ncol=3,c("0-1 km","1-5 km","outside barrier"),fill=c("green","orange","red"), title="Fetch") # Won't let me move the legend sideways legend(0,3.5,ncol=3,c("0-1 km","1-5 km","outside

I need to create a stacked bar chart with a large number (10 or so) categories. The problem is that Pandas only provides colors for up to 7 different categories. It sets the remaining colors as blue. How to I ensure that every category has a unique color? Example: df = pd.DataFrame(np.abs(np.random.randn(10,10)),columns=['A','B','C','D','E','F','G','H','I','J'], index=range(10)) df.plot(kind='bar',stacked=True,figsize=(20,10)) Produces a bar chart where H,I, and J are not given unique colors. In [22]: colors = plt.cm.GnBu(np.linspace(0, 1, 10)) In [23]: df.plot(kind='bar', stacked=True,

I want to plot y=log(1+x) and y=x in the range [-0.25, 0.25]. Here is my code so far - library(ggplot2) log1plusx <- function(x) log(1+x) self <- function(x) x ggplot(data.frame(x=c(-0.25, 0.25)), aes(x=x)) + stat_function(fun=log1plusx, color="red") + stat_function(fun=self, color="blue") I can't figure out how to add the legends for these two lines. Tried using guide_legend, but nothing works so far. Any ideas? Partial answer: ggplot(data.frame(x=c(-0.25, 0.25)), aes(x=x)) + geom_path(aes(colour="red"), stat="function", fun=log1plusx)+ geom_path(aes(colour="blue"), stat="function", fun=self)

I am using the plotgauss2d function of BNT to visualize how the response of a 2D Gaussian node changes when evidence is observed elsewhere in the net. eng = jtree_inf_engine(bnet); evidence = cell(1, 2) eng = enter_evidence(eng, evidence); marginals = marginal_nodes(eng, 1); p_1 = marginals.T marginals = marginal_nodes(eng, 2); p_2 = marginals.T marginals clf; plotgauss2d(marginals.mu, marginals.Sigma); hold all; evidence{1} = 1; marginals = marginal_nodes(enter_evidence(eng, evidence), 2); p = plotgauss2d(marginals.mu, marginals.Sigma); set(p, 'Color', 'green'); evidence{1} = 2; marginals =

I'd like to add a small table (for example as a legend) to a plot in R . I think of something like: t <- wantedTableMethod( row("param1", "param2", "param3", "param4") , row(value11, value12, value13, cell(value14, adj=0)) , row(value21, value22, value23, value24) , row(value31, value32, value33, cell(value34, adj=1)) border = F ) plot(1,1) legend("topleft", t) All values of a column should have the same offset. Is something like this possible in R , or do I need to align each value manually? The plotrix package has a addtable2plot function you can pass a data.frame or matrix to Using the