#Boxplot stata full#
The mean as a line spanning the full width of the boxĪccording to meanprops (see below). If True (and showmeans is True), will try to render That the whisker ends are at the minimum and maximum of the data. When True and the data are distributed such that the 25th andħ5th percentiles are equal, whis is set to 'range' such If True, the tick locations and labels will be adjusted to match Length must be compatible withĭimensions of x.
#Boxplot stata Patch#
Otherwise,īoxes and drawn with Patch artists. If False produces boxes with the Line2D artist. The default is 0.5, or 0.15*(distance between extreme positions), if that is smaller. Sets the width of each box either with a scalar or a Range(1, N+1) where N is the number of boxes to be drawn. The ticks and limits areĪutomatically set to match the positions. Method specified by the other kwargs (e.g., bootstrap). When an element ofĬonf_intervals is None, the notches are computed by the Notch locations computed by matplotlib are overridden The an element of conf_intervals is not None, the conf_intervals : array-like, optionalĪrray or sequence whose first dimension (or length) isĬompatible with x and whose second dimension is 2. Will be computed by matplotlib as normal. When an element of usermedians is None, the median This overrides the medians computedīy matplotlib for each element of usermedians that is not usermedians : array-like, optionalĪn array or sequence whose first dimension (or length) isĬompatible with x. The number of times to bootstrap the median to determine itsĩ5% confidence intervals. (see McGill, R., Tukey, J.W., and Larsen, W.A., 1978, and None, no bootstrapping is performed, and notches areĬalculated using a Gaussian-based asymptotic approximation Specifies whether to bootstrap the confidence intervalsĪround the median for notched boxplots. To set the whiskers at specific percentiles of the data.įinally, whis can be the string 'range' to force the This to an ascending sequence of percentile (e.g., ) Set this to an unreasonably high value to force the
Will extend to the first datum greater than Q1 - whis*IQR.Īre considered outliers and are plotted as individual Interquartile range ( Q3-Q1), the upper whisker will extend to
whis : float, sequence, or string (default = 1.5)Īs a float, determines the reach of the whiskers to the beyond theįirst and third quartiles. If False,Įverything is drawn horizontally. If True (default), makes the boxes vertical. If None, then theįliers default to 'b+' If you want more control use theįlierprops kwarg. This is expectedīehavior and consistent with other statistical Notches will extend beyond the box, giving it aĭistinctive "flipped" appearance. Lower quartile or greater than the upper quartile, the In cases where the values of the CI are less than the How the locations of the notches are computed. See the entryįor the bootstrap parameter for information regarding The notches represent theĬonfidence interval (CI) around the median. If True, will produce a notched box plot. Flier points are those past the end of the whiskers. The whiskers extend from the box to show the range of theĭata. Upper quartile values of the data, with a line at the median. Make a box and whisker plot for each column of x or each boxplot ( x, notch=None, sym=None, vert=None, whis=None, positions=None, widths=None, patch_artist=None, bootstrap=None, usermedians=None, conf_intervals=None, meanline=None, showmeans=None, showcaps=None, showbox=None, showfliers=None, boxprops=None, labels=None, flierprops=None, medianprops=None, meanprops=None, capprops=None, whiskerprops=None, manage_ticks=True, autorange=False, zorder=None, *, data=None ) ¶
0 kommentar(er)
