legend

I'm drawing a legend on an axes object in matplotlib but the default positioning which claims to place it in a smart place doesn't seem to work. Ideally, I'd like to have the legend be draggable by the user. How can this be done? Adam Fraser Note: This is now built into matplotlib leg = plt.legend() if leg: leg.draggable() will work as expected Well, I found bits and pieces of the solution scattered among mailing lists. I've come up with a nice modular chunk of code that you can drop in and use... here it is: class DraggableLegend: def __init__(self, legend): self.legend = legend self

First, sorry for posting without reproducible data. Hope you guys understand my question. This is my code. At the end of the code, I am trying to add abline. With the code, I am trying to add the name of abline to the legend but it does not work. ggplot(aes(x = week_id2, y = Index, color = Chain2, linetype = Chain2, group = Chain2), data = data00 + geom_point(aes(shape=Chain2), size = 3) + geom_line() + scale_linetype_manual(values=c("twodash", "dashed", "dotted", "dotdash", "longdash")) + scale_shape_manual(values=c(1:5)) + xlab("Week") + ylab("Index") + geom_hline(aes(yintercept=1)) As shown

Just wondering what is required so the colour for missing values is shown in the legend? Looking at example from the UseR! ggplot2 book, p94 p <- qplot(sleep_total, sleep_cycle, data=msleep, colour=vore) p + scale_colour_hue(na.value = "Black") p + scale_colour_hue("What does \nit eat?", na.value="Black", breaks=c("herbi", "carni", "omni", "insecti", NA), labels=c("plants", "meat", "both", "insects", "don't know")) the data point for vore=NA is shown in the plot but NA is not listed in the legend. Thanks Workaround for the problem would be to replace NA values in your data with same other

I have got a map with a legend gradient and I would like to add a box for the NA values. My question is really similar to this one and this one . Also I have read this topic , but I can't find a "nice" solution somewhere or maybe there isn't any? Here is an reproducible example: library(ggplot2) map <- map_data("world") map$value <- setNames(sample(-50:50, length(unique(map$region)), TRUE), unique(map$region))[map$region] map[map$region == "Russia", "value"] <- NA ggplot() + geom_polygon(data = map, aes(long, lat, group = group, fill = value)) + scale_fill_gradient2(low = "brown3", mid =

An example using ggplot2 to graph groups of data points and lines connecting the means for each group, mapped with the same aes for shape and for linetype : p <- ggplot(mtcars, aes(gear, mpg, shape = factor(cyl), linetype = factor(cyl))) + geom_point(size = 2) + stat_summary(fun.y = mean, geom = "line", size = 1) + scale_shape_manual(values = c(1, 4, 19)) Problem is that point symbols in the legend appear a bit too small to see, relative to the line symbols: Trying to enlarge point size in legend also enlarges lineweight, so that is not useful here. p1 <- p + guides(shape = guide_legend