legend

问题 I am working on a project that involves applying colormaps to scatterplots generated in matplotlib. My code works as expected, unless the scatterplot being generated has exactly four points. This is illustrated in the following code: import numpy as np import matplotlib.pyplot as plt cmap = plt.get_cmap('rainbow_r') z = np.arange(20) plt.close() plt.figure(figsize=[8,6]) for i in range(1,11): x = np.arange(i) y = np.zeros(i) + i plt.scatter(x, y, c=cmap(i / 10), edgecolor='k', label=i, s=200)

问题 I have the following example: data <- structure(list(a = c(-1.25549186262767, -0.840855480786298, - 0.635371312524283, -0.602907981454667, -0.472166385166945, -0.285773634866154, 0.0701427664273268, 0.138108224803923, 1.38435934347858, 1.71144087270237), b = c(-3.44400412039417, 0.675644682353751, -1.04793816522475, -7.38303347186651, 2.34519166466874, 0.334780748573386, 4.76806919070976, 4.8633533150074, 3.50106026731172, -1.27172351054143), c = c(-3.02376206439776, -2.56390769080574, -1

问题 Example code and figure: data <- data.frame( ID = c(LETTERS[1:26], paste0("A",LETTERS[1:26])), Group = rep(c("Control","Treatment"),26), x = rnorm(52,50,20), y = rnorm(52,50,10)) ggplot(data, aes(y=y,x=x, label=ID, color=Group)) + geom_text(size=8) + scale_color_manual(values=c("blue","red")) + theme_classic() + theme(legend.text = element_text(color=c("blue","red"))) What I'm trying to solve is removing the legend symbols (the "a") and coloring the Group labels (Control and Treatment) as

问题 I want to make a legend on my graph, which is generated by plot() function. The original legend() function will generate a list which has only 1 column. How can I make a legend which has 2 columns? 回答1: I could not find a way to do that within a single call to legend for standard plots. Here's an option, drawing two separate legends: one with lines and points, one with labels. x.intersp can be used to tweak distance between labels and lines. plot(cumsum(runif(n = 100))) # draw legend with

问题 I am trying to have a single data point on a plot legend by following the suggestions here and it does not seem to work: from pylab import scatter import pylab import matplotlib.pyplot as plt fig = plt.figure() ax = plt.gca() ax.scatter(1,2,c = 'blue', marker = 'x') ax.scatter(2,3, c= 'red', marker = 'o') ax.legend(('1','2'), loc = 2, numpoints = 1) plt.show() Am I doing something completely stupid here? Some additional information: In [147]: import matplotlib print matplotlib.__version__ Out

问题 MATLAB legends list everything in a plot, including guidelines that you have put on a plot. A fudge to get around that is to do *Plot *Add legend *Add guidelines However, MATLAB puts the most recent lines in the front, meaning the guidelines then sit over the displayed data; ugly and distracting. Similar problems occur any time you build up a complicated plot, legend freaks out and grabs everything, and workarounds with plotting order can be ugly Example code: %**** Optional guidelines figure

问题 I would like to use the raster attribute table information to create the legend of a raster such as the raster 1 and display the legend only for the class displayed in the raster. I build an example to explain what I would like to get. 1/ Build the raster r <- raster(ncol=10, nrow=10) values(r) <-sample(1:3,ncell(r),replace=T) 2/ Add the Raster Attribute Table r <- ratify(r) # build the Raster Attibute table rat <- levels(r)[[1]]#get the values of the unique cell frot the attribute table rat

问题 I would like to make a complex legend in matplotlib. I made the following code import matplotlib.pylab as plt import numpy as np N = 25 y = np.random.randn(N) x = np.arange(N) y2 = np.random.randn(25) # serie A p1a, = plt.plot(x, y, "ro", ms=10, mfc="r", mew=2, mec="r") p1b, = plt.plot(x[:5], y[:5] , "w+", ms=10, mec="w", mew=2) p1c, = plt.plot(x[5:10], y[5:10], "w*", ms=10, mec="w", mew=2) # serie B p2a, = plt.plot(x, y2, "bo", ms=10, mfc="b", mew=2, mec="b") p2b, = plt.plot(x[15:20], y2[15

问题 This question already has answers here : Matplotlib scatter plot with legend (5 answers) Closed 2 years ago . I'd like to make this kind of scatter plot where the points have colors specified by the "c" option and the legend shows the color's meanings. The data source of mine is like following: scatter_x = [1,2,3,4,5] scatter_y = [5,4,3,2,1] group = [1,3,2,1,3] # each (x,y) belongs to the group 1, 2, or 3. I tried this: plt.scatter(scatter_x, scatter_y, c=group, label=group) plt.legend()

问题 I'm using ggplot to map data values to a (fortified) SpatialPolygonsDataFrame, but many of the polygons have NA values because there is no data available. I used na.value = "white" to display the missing data correctly, but I'd like to add a box with a white fill in the legend (or a separate legend) with the label "no data". library(ggplot2) india.df <- read.csv('india.df.csv') # (I don't know how to provide this file to make the code reproducible) ggplot() + geom_polygon(data=india.df, aes(x