boxplot

来源： https://stackoverflow.com/questions/40721242/seaborns-boxplotswarmplot-different-color-for-x-different-symbol-for-hues

来源： https://stackoverflow.com/questions/52853139/how-to-add-a-boxplot-to-a-histogram-using-ggmarginal-in-r

来源： https://stackoverflow.com/questions/32161921/matplotlib-how-to-have-a-transparent-box-plot-face-while-a-non-transparent-line

来源： https://stackoverflow.com/questions/46289111/add-sample-size-to-a-panel-figure-of-boxplots

来源： https://stackoverflow.com/questions/46289111/add-sample-size-to-a-panel-figure-of-boxplots

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . Improve this question I can't understand how formulas work in R, what formulas are. So, if I have a vector containing a monthly time series, how could I create a boxplot of it, where datas are divided in a seasonal logic? I would like to have 12 boxes, one per month. 回答1: At the

问题 do you have any idea of how to apply jittering just to the outliers data of a boxplot? This is the code: ggplot(data = a, aes(x = "", y = a$V8)) + geom_boxplot(outlier.size = 0.5)+ geom_point(data=a, aes(x="", y=a$V8[54]), colour="red", size=3) + theme_bw()+ coord_flip() thank you!! 回答1: Added a vector to your data set to indicate which points are and are not outliers. Then, Set the geom_boxplot to not plot any outliers and use a geom_point to plot the outliers explicity. I will use the

问题 Is there a way to extract all outliers after plotting a Seaborn Boxplot? For example, if I am plotting a boxplot for the below data client total 1 LA 1 2 Sultan 128 3 ElderCare 1 4 CA 3 5 More 900 I want to see the below records returned as outliers after the boxplot is plotted. 2 Sultan 128 5 More 900 回答1: Seaborn uses matplotlib to handle outlier calculations, meaning the key parameter, whis , is passed onto ax.boxplot . The specific function taking care of the calculation is documented

问题 Is there a way to extract all outliers after plotting a Seaborn Boxplot? For example, if I am plotting a boxplot for the below data client total 1 LA 1 2 Sultan 128 3 ElderCare 1 4 CA 3 5 More 900 I want to see the below records returned as outliers after the boxplot is plotted. 2 Sultan 128 5 More 900 回答1: Seaborn uses matplotlib to handle outlier calculations, meaning the key parameter, whis , is passed onto ax.boxplot . The specific function taking care of the calculation is documented

问题 It seems like plotting a line connecting the mean values of box plots would be a simple thing to do, but I couldn't figure out how to do this plot in pandas. I'm using this syntax to do the boxplot so that it automatically generate the box plot for Y vs. X device without having to do external manipulation of the data frame: df.boxplot(column='Y_Data', by="Category", showfliers=True, showmeans=True) One way I thought of doing is to just do a line plot by getting the mean values from the