boxplot

I would like to do something of the sort (using matplotlib): (from Colorfill boxplot in R-cran with lines, dots, or similar ) I saw some info about hatch(ing)? But I really can't make heads or tails on how to use this. Also I find myself wondering how can I change parameters like the possible attributes of a boxprop dict -- used in plt.boxplot(..., boxprops=boxpropsdict). Is it possible to just have a list of all the possible attributes for this? The important aspect is to set patch_artist=True when calling boxplot . import numpy as np import matplotlib.pyplot as plt # fake up some data spread

In a ggplot boxplot , it is easy to use jitter to add the raw data points with varying degrees of jitter. With zero jitter the following code dat <- data.frame(group=c('a', 'b', 'c'), values = runif(90)) ggplot(dat, aes(group, values)) + geom_boxplot(outlier.size = 0) + geom_jitter(position=position_jitter(width=0), aes(colour=group), alpha=0.7) + ylim(0, 1) + stat_summary(fun.y=mean, shape=3, col='red', geom='point') + opts(legend.position = "right") + ylab("values") + xlab("group") produces the plot below. Is it possible to use zero jitter but add an offset such that the points are in a line

EDIT: this question arose with pandas ~0.13 and was obsoleted by direct support somewhere between version 0.15-0.18 (as per @Cireo's late answer ) I can get a boxplot of a salary column in a pandas DataFrame... train.boxplot(column='Salary', by='Category', sym='') ...however I can't figure out how to define the index-order used on column 'Category' - I want to supply my own custom order, according to another criterion: category_order_by_mean_salary = train.groupby('Category')['Salary'].mean().order().keys() How can I apply my custom column order to the boxplot columns? (other than ugly

This question already has an answer here: Customize axis labels 3 answers How can I change the names of my x axis labels in ggplot2? See below: ggbox <- ggplot(buffer, aes(SampledLUL, SOC)) + geom_boxplot() ggbox <- ggbox + theme(axis.text.x=element_text(color = "black", size=11, angle=30, vjust=.8, hjust=0.8)) ggbox<- ggbox + labs(title = "Land cover Classes") + ylab("SOC (g C/m2/yr)") + xlab("Land cover classes") The above code creates the following figure: I would like to be able to capitilize the first letter of these classes (i.e Crop, as opposed to crop). I've tried the code below but

I have a large set of data points. I try to plot them with a boxplot, but some of the outliers are the exact same value and they are represented on a line beside each other. I found How to set the horizontal distance between outliers in gnuplot boxplot , but it doesn't help too much, as it is apparently not possible. Is it possible to group the outliers together, print one point and then print a number in brackets beside it to indicate how many points there are? I think this would make it more readable in a graph. For information, I have three boxplots for one x value and that times six in one