diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py index 9f3bc1b9fe83..b8e8592f6df4 100644 --- a/lib/matplotlib/axes/_axes.py +++ b/lib/matplotlib/axes/_axes.py @@ -3126,9 +3126,12 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None, everything is drawn horizontally. whis : float, sequence, or string (default = 1.5) - As a float, determines the reach of the whiskers past the - first and third quartiles (e.g., Q3 + whis*IQR, - IQR = interquartile range, Q3-Q1). Beyond the whiskers, data + As a float, determines the reach of the whiskers to the beyond the + first and third quartiles. In other words, where IQR is the + interquartile range (`Q3-Q1`), the upper whisker will extend to + last datum less than `Q3 + whis*IQR`). Similarly, the lower whisker + will extend to the first datum greater than `Q1 - whis*IQR`. + Beyond the whiskers, data are considered outliers and are plotted as individual points. Set this to an unreasonably high value to force the whiskers to show the min and max values. Alternatively, set diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py index 41b31a825085..0d9140295cb4 100644 --- a/lib/matplotlib/cbook.py +++ b/lib/matplotlib/cbook.py @@ -1872,9 +1872,12 @@ def boxplot_stats(X, whis=1.5, bootstrap=None, labels=None, fewer dimensions. whis : float, string, or sequence (default = 1.5) - As a float, determines the reach of the whiskers past the first - and third quartiles (e.g., Q3 + whis*IQR, QR = interquartile - range, Q3-Q1). Beyond the whiskers, data are considered outliers + As a float, determines the reach of the whiskers to the beyond the + first and third quartiles. In other words, where IQR is the + interquartile range (`Q3-Q1`), the upper whisker will extend to last + datum less than `Q3 + whis*IQR`). Similarly, the lower whisker will + extend to the first datum greater than `Q1 - whis*IQR`. + Beyond the whiskers, data are considered outliers and are plotted as individual points. This can be set this to an ascending sequence of percentile (e.g., [5, 95]) to set the whiskers at specific percentiles of the data. Finally, `whis`