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= np.random.rand(50) * 100 center = np.ones(25) * 50 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 data = np.concatenate((spread, center, flier_high, flier_low), 0) # basic plot bp = plt.boxplot(data, patch_artist=True) for box in bp['boxes']: # change outline color box.set(color='red', linewidth=2) # change fill color box.set(facecolor = 'green' ) # change hatch box.set(hatch = '/') plt.show() The basic plot example is taken from the boxplot demo. However, none of those examples set patch_artist=True. If that statement is omitted, you will get this error:
AttributeError: 'Line2D' object has no attribute 'set_facecolor'
The boxplot demo 2 shows in great detail, how rectangles can be fitted to the boxplot in order to obtain coloring. This blog points to the option of the patch_artist.
For more ideas about hatches, refer to the hatch demo. The example above produces this figure:
