boxplot

问题 I'm trying to plot this box plot like this: I tried this code: boxplot(randn(10,98)','notch','on') set(0,'DefaultAxesFontName', 'Cambria Math') ylabel('Normalized Parameter'); set(gca,'FontSize',14,'fontWeight','bold'); set(gca,'TickLabelInterpreter','tex'); set(gca,'XTickLabel',{'a_{0}','a_{1}','a_{2}','a_{3}','a_{4}','b_{1}','b_{2}','b_{3}','b_{4}','w'}) color = 'b'; h = findobj(gca,'Tag','Box'); for j=1:length(h) patch(get(h(j),'XData'),get(h(j),'YData'),color,'FaceAlpha',1); end lines =

问题 My pandas data frame has two columns: category and duration . And I use the following code to make a box plot of all data points. import matplotlib.pyplot as plt plt.boxplot(df.duration) plt.show() However, if I want one box fore each category , how do I modify the above code? Thanks! 回答1: We can do it with pandas #df=pd.DataFrame({'category':list('aacde'),'duration':[1,3,2,3,4]}) sample data df.assign(index=df.groupby('category').cumcount()).pivot('index','category','duration').plot(kind=

问题 delme <- exp(rnorm(1000,1.5,0.3)) boxplot(delme,log="y") boxplot(log10(delme)) Why are the whiskers different in this 2 plots? Thanks Agus 回答1: I would say that in your first plot you just changed the y axis to log, so the values you plot still range between 1 and 10. In this plot the y axis is a log scale. The whiskers on this axis look different because the space between each "tick" (ie axis break) is not constant (there is more space between 2 and 4 than between 10 and 8) In the second

问题 I'm fairly new to R, but I'm making good progress. I've been able to bend ggplot2 to my will with the exception of one thing: the order that the categorical labels are plotted along the x axis in my boxplot. I think this is just a hole in my knowledge of how to address ranges of a dataframe in formulas, but here's the fake data, as a dataframe called df: Index Label Value index1 A 1 index2 A 2 index3 A 3 index4 B 12 index5 B 11 index6 B 10 index7 C 8 index8 C 7 index9 C 9 ... index76 Z 15

问题 I'm trying to make a grouped boxplot using Seaborn (Reference), and the boxes are all incredibly narrow -- too narrow to see the grouping colors. g = seaborn.factorplot("project_code",y="num_mutations",hue="organ", data=grouped_donor, kind="box", aspect=3) If I zoom in, or stretch the graphic several times the width of my screen, I can see the boxes, but obviously this isn't useful as a standard graphic. This appears to be a function of my amount of data; if I plot only the first 500 points

问题 In the plot below, I'd like the number of observations (40 in this case) to be overlayed on top of each boxplot. My code below doesn't work when there's a fill aesthetic. The text need to be adjusted horizontally (1 left, 1 center, 1 right in this case) so that they properly overlay their corresponding boxplots. dt <- data.table( x = factor(rep(1:2, each=120)) , f = rep(letters[1:3], 40) , y = c(rnorm(120, 1:3), rnorm(120, 1:3*2)) ) table(dt$x, dt$f) +--------------+ | a b c | +--------------

问题 I am trying to recreate a multiple dot plot like the figure below. https://www.dropbox.com/s/9jqguesqd5gdm99/jitter%20plot.png Both geom_dotplot and position_jitter in ggplot2 have been tried. But neither of these two commands could make it. The figure created by position_jitter is quite similar, but there are also some differences. The point created by position_jitter seems too scattered, compared to the figure mentioned above. This is the figure I could make so far. https://www.dropbox.com

问题 I am trying to recreate a multiple dot plot like the figure below. https://www.dropbox.com/s/9jqguesqd5gdm99/jitter%20plot.png Both geom_dotplot and position_jitter in ggplot2 have been tried. But neither of these two commands could make it. The figure created by position_jitter is quite similar, but there are also some differences. The point created by position_jitter seems too scattered, compared to the figure mentioned above. This is the figure I could make so far. https://www.dropbox.com

问题 Am trying to get text label similar to what this https://stats.stackexchange.com/questions/8206/labeling-boxplots-in-r, but I cant get it to work. MWE similar to what I have is this: data <- data.frame(replicate(5,sample(0:100,100,rep=TRUE))) meanFunction <- function(x){ return(data.frame(y=round(mean(x),2),label=round(mean(x,na.rm=T),2)))} ggplot(melt(data), aes(x=variable, y=value)) + geom_boxplot(aes(fill=variable), width = 0.7) + stat_summary(fun.y = mean, geom="point",colour="darkred",

问题 This question already has answers here : Is there an equivalent in ggplot to the varwidth option in plot? (2 answers) Closed 5 years ago . I have a boxplot that I made in R with ggplot2 analagous to the sample boxplot below. The problem is, for the values on the y axis (in this sample, the number of cylinders in the car) I have very different frequencies -- I may have included 2 8 cylinder cars, but 200 4 cylinder cars. Because of this, I'd like to be able to resize the boxplots (in this case