The method getLegendItem(), seen here, provides all the information needed to render a legend item in any Container you choose. GridLayout(0, 2) will arrange them in two columns for any number of rows. To suppress the existing legend, set legend to false when you call your chart factory; the items will still be available, as … Read more
To change line width only in the legend you should use function guides() and then for colour= use guide_legend() with override.aes= and set size=. This will override size used in plot and will use new size value just for legend. ggplot(iris,aes(Petal.Width,Petal.Length,color=Species))+geom_line()+theme_bw()+ guides(colour = guide_legend(override.aes = list(size=3))) To get points in legend and lines in plot … Read more
You need to set drop=FALSE on both scales (fill and x) like this: library(ggplot2) df <- data.frame(type=c(“A”, “A”, “A”, “B”, “B”), group=rep(“group1”, 5)) df1 <- data.frame(type=c(“A”, “A”, “A”, “B”, “B”, “A”, “A”, “C”, “B”, “B”), group=c(rep(“group1”, 5),rep(“group2”, 5))) df$type <- factor(df$type, levels=c(“A”,”B”, “C”)) df1$type <- factor(df1$type, levels=c(“A”,”B”, “C”)) plt <- ggplot(df, aes(x=type, fill=type)) + geom_bar(position=’dodge’) … Read more
ggplot2 v3.0.0 released in July 2018 has working options to modify legend.spacing.x, legend.spacing.y and legend.text. Update Dec 2021 – to make legend.spacing.y work, you will need to set byrow = TRUE in the corresponding guide_legend. See also this thread. Example below. Example: Increase horizontal spacing between legend keys library(ggplot2) ggplot(mtcars, aes(factor(cyl), fill = factor(cyl))) + … Read more
2D scatter plot Using the scatter method of the matplotlib.pyplot module should work (at least with matplotlib 1.2.1 with Python 2.7.5), as in the example code below. Also, if you are using scatter plots, use scatterpoints=1 rather than numpoints=1 in the legend call to have only one point for each legend entry. In the code … Read more
Have you checked the Legend Guide? For practicality, I quote the example from the guide. Not all handles can be turned into legend entries automatically, so it is often necessary to create an artist which can. Legend handles don’t have to exists on the Figure or Axes in order to be used. Suppose we wanted … Read more
Sorry EMS, but I actually just got another response from the matplotlib mailling list (Thanks goes out to Benjamin Root). The code I am looking for is adjusting the savefig call to: fig.savefig(‘samplefigure’, bbox_extra_artists=(lgd,), bbox_inches=”tight”) #Note that the bbox_extra_artists must be an iterable This is apparently similar to calling tight_layout, but instead you allow savefig … Read more
You may also use ggarrange from ggpubr package and set “common.legend = TRUE”: library(ggpubr) dsamp <- diamonds[sample(nrow(diamonds), 1000), ] p1 <- qplot(carat, price, data = dsamp, colour = clarity) p2 <- qplot(cut, price, data = dsamp, colour = clarity) p3 <- qplot(color, price, data = dsamp, colour = clarity) p4 <- qplot(depth, price, data = … Read more
A newer solution is to use ggrepel: library(ggplot2) library(ggrepel) library(dplyr) temp.dat %>% mutate(label = if_else(Year == max(Year), as.character(State), NA_character_)) %>% ggplot(aes(x = Year, y = Capex, group = State, colour = State)) + geom_line() + geom_label_repel(aes(label = label), nudge_x = 1, na.rm = TRUE)
You can easily add a second legend by adding the line: ax2.legend(loc=0) You’ll get this: But if you want all labels on one legend then you should do something like this: import numpy as np import matplotlib.pyplot as plt from matplotlib import rc rc(‘mathtext’, default=”regular”) time = np.arange(10) temp = np.random.random(10)*30 Swdown = np.random.random(10)*100-10 Rn … Read more