Multiple boxplot in the same plot window.Changing some features of the boxplot using function arguments.Plt.boxplot(X1, notch=True, whiskerprops=line_props, boxprops=bbox_props, flierprops=flier_props) Plt.boxplot(X2, notch=False, showfliers=False, showbox=False, showcaps=False, positions=, labels=)ībox_props = dict(color='g', alpha=0.9, linestyle='dashdot')įlier_props = dict(marker='o', markersize=17) Plt.boxplot((X1, X2), notch=True, sym='o', labels=) # Showing multiple boxplots on the same window Plt.boxplot(X1, notch=True, sym='o') # Use sym='' to shown no fliers also showfliers=False The following recipe show some of the things you can do with the current matplotlib implementation of boxplot: import matplotlib.pyplot as plt This plot is sometimes called box-and-whisker plot and box-and-whisker diagram. The minimum and maximum (making fliers non-existent). Perhaps the most common boxplot diagram uses the whiskers to represent NOTE: Not all implementations of boxplot follow the same rules. Also notice that samples beyond this range are shown as markers (these are named fliers). The box represents Q1 and Q3 (percentiles 25 and 75), and the whiskers give an idea of the range of the data (possibly at Q1 - 1.5 IQR Q3 + 1.5IQR being IQR the interquartile range, but this lacks confirmation).

The relevant aspects of this function is that, by default, the boxplot is showing the median (percentile 50%) with a red line. Matplotlib has its own implementation of boxplot.

Box and whisker plot python