legend

I'm trying to create a ggplot2 plot with the legend beneath the plot. The ggplot2 book says on p 112 "The position and justification of legends are controlled by the theme setting legend.position, and the value can be right, left, top, bottom, none (no legend), or a numeric position". The following code works (since "right" it is the default), and it also works with "none" as the legend position, but "left", "top", "bottom", all fail with "Error in grid.Call.graphics("L_setviewport", pvp, TRUE) : Non-finite location and/or size for viewport" library(ggplot2) (myDat <- data.frame(cbind(VarX=10

I am trying to use geom_point to illustrate the count of my data. I would also like to annotate a few of the points in my graph with geom_text . When I add the call to geom_text , it appears that it is plotting something underneath the points in the legend. I've tried reversing the order of the layers to no avail. I can't wrap my head around why it is doing this. Has anyone seen this before? set.seed(42) df <- data.frame(x = 1:10 , y = 1:10 , label = sample(LETTERS,10, replace = TRUE) , count = sample(1:300, 10, replace = FALSE) ) p <- ggplot(data = df, aes(x = x, y = y, size = count)) + geom

I'm making some scatter plots and I want to set the size of the points in the legend to a fixed, equal value. Right now I have this: import matplotlib.pyplot as plt import numpy as np def rand_data(): return np.random.uniform(low=0., high=1., size=(100,)) # Generate data. x1, y1 = [rand_data() for i in range(2)] x2, y2 = [rand_data() for i in range(2)] plt.figure() plt.scatter(x1, y1, marker='o', label='first', s=20., c='b') plt.scatter(x2, y2, marker='o', label='second', s=35., c='r') # Plot legend. plt.legend(loc="lower left", markerscale=2., scatterpoints=1, fontsize=10) plt.show() which

already searched all related threads about this but could not find a solution. Here is my code and the attached plot result: g <-ggplot(NDVI2, aes(LAI2, NDVI, colour = Legend)) + theme_bw (base_family = "Times") + scale_colour_manual (values = c("purple", "green", "blue", "yellow", "magenta","orange", "cyan", "red", "black")) + geom_point (size = 3) + geom_smooth (aes(group = 1, colour = "Trendline"), method = "loess", size = 1, linetype = 5, se = FALSE) + geom_smooth (aes(group = 1, colour = "Regression (log)"),linetype = 1, size=1.2,method = "lm", formula = y~ log(x), se = FALSE) + labs

Rdates <- c("2007-01-31","2007-02-28","2007-03-30","2007-04-30","2007-05-31","2007-06-29","2007-07-31","2007-08-31","2007-09-28","2007-10-31") Rdates <- as.Date(Rdates) Cnames <- c("Column 1 Really Long","Column 2 Really Long","Column 3 Really Long","Column 4 Really Long","Column 5 Really Long","Column 6 Really Long","Column 7 Really Long","Column 8 Really Long","Column 9 Really Long","Column 10 Really Long") MAINDF <- data.frame(replicate(10,runif(10,-0.03,0.03))) rownames(MAINDF) <- Rdates colnames(MAINDF) <- Cnames CUSTOMpalette <- c("#1a2ffa", "#0d177d", "#1a9ffa", "#fa751a", "#4b8e12", "

I have a code like this: import matplotlib.pyplot as plt from matplotlib.pyplot import * from matplotlib.font_manager import FontProperties fontP = FontProperties() fontP.set_size('xx-small') fig=plt.figure() ax1=fig.add_subplot(111) plot([1,2,3], label="test1") ax1.legend(loc=0, ncol=1, bbox_to_anchor=(0, 0, 1, 1), prop = fontP,fancybox=True,shadow=False,title='LEGEND') plt.show() It can be seen in the plot that the setting in Fontsize does not affect the Legend Title font size. How to set the font size of the legend title to a smaller size? This is definitely an old question, but was

I have a plot that has data that runs into the area I'd like to use for a legend. Is there a way to have the plot automatically put in something like a header space above the highest data points to fit the legend into? I can get it to work if I manually enter the ylim() arguments to expand the size and then give the exact coordinates of where I want the legend located, but I'd prefer to have a more flexible means of doing this as it's a front end for a data base query and the data levels could have very different levels. Edit 2017: use ggplot and theme(legend.position = ""): library(ggplot2)