As of 2020, there is a better method than the one in the accepted answer. The matplotlib.axes.Axes class provides a bxp method, which can be used to draw the boxes and whiskers based on the percentile values. Raw data is only needed for the outliers, and that is optional. Example: import matplotlib.pyplot as plt fig, … Read more
you can also go with series.setData(). This will allow you to change the entire data of a particular series. Here is the API link for it. Hope this will be of use for you.
How about using colors to differentiate between “apples” and “oranges” and spacing to separate “A”, “B” and “C”? Something like this: from pylab import plot, show, savefig, xlim, figure, \ hold, ylim, legend, boxplot, setp, axes # function for setting the colors of the box plots pairs def setBoxColors(bp): setp(bp[‘boxes’][0], color=”blue”) setp(bp[‘caps’][0], color=”blue”) setp(bp[‘caps’][1], color=”blue”) … Read more
Make sure your calling suptitle(”) on the right figure. In [23]: axes = df.boxplot(by=’g’) In [24]: fig = axes[0][0].get_figure() In [25]: fig.suptitle(”) Out[25]: <matplotlib.text.Text at 0x109496090>