If you are new to matplotlib, then I highly recommend this course. The default width is 1, so anything less of that creates a smaller width for the boxes. The size of the individual boxplots can be altered wit hthe width parameter. The boxplot multiple plot shows the sets in normal direction with the default colors. Sns.boxplot( x=df, y=df, palette= "Blues") There are all kinds of palettes, the palette ‘blues’ are all kinds of blue. You can do that by passing the palette parameters. The boxplot colors plot colors are configureable. The colors shown are the default colors, but they are configureable. A box plot is a chart that shows data from a five-number summary including one of the measures of central tendency. The example below shows the boxplot in horizontal direction. Then the presented boxplot shows the minimum, maximum, 1st quartile and 3rd quartile. The example below loads the iris flower data set. The boxplot plot is reated with the boxplot() method. Related course: Matplotlib Examples and Video Course boxplot example boxplot It does not show the distribution in particular as much as a stem and leaf plot or histogram does. Any box shows the quartiles of the dataset while the whiskers extend to show the rest of the distribution. A box plot is a chart that shows data from a five-number summary including one of the measures of central tendency. Sometimes a boxplot is named a box-and-whisker plot. Thats very useful when you want to compare data between two groups. If you are interested in making the error bars different in the +y and -y directions, then you can plot twice on the same figure where the second plot has no markers except for the error bars, and the center of those error bars is the mean between the +y and -y values.The seaborn boxplot is a very basic plot Boxplots are used to visualize distributions. and plug them into their respective positions in Axes.errorbar(x, y, yerr=None, xerr=None, fmt='', ecolor=None, elinewidth=None, capsize=None, barsabove=False, lolims=False, uplims=False, xlolims=False, xuplims=False, errorevery=1, capthick=None, *, data=None, **kwargs) If a sequence of shape 2xN, errorbars are drawn at -row1 and +row2 relative to the data." If a scalar number, len(N) array-like object, or a N-element array-like object, errorbars are drawn at +/-value relative to the data. "xerr/yerr : scalar or array-like, shape(N,) or shape(2,N), optional You can explicitly define the error bars by using xerr and yerr: Matplotlib allows for individual error bars (I assume that's what you mean by 'whiskers'). In case of the diagram shown in the question the second reason most certainly applies: Namely that the lower whisker ends at the position of the lowest data value. Otherwise, the values outside of the whiskers are marked separately in the diagram those values can then be treated as outliers.Ī plot from the same wikipedia page might make this more obvious: If there are no values outside of the 1.5*IQR boundary, the length of the whisker is determined by the minimal and maximal value. This is the reason why the whisker does not need to be of the same size on both ends of the box. A box plot (or box-and-whisker plot) shows the distribution of quantitative data in a way that facilitates comparisons between variables or across levels of a categorical variable. The box plot is a useful graphical display for describing the behavior of the data in the middle as well as at the ends of the distributions. The length of the whisker is hence determined by the data and not solemnly by the inter quartile range. In this case the whisker does however not end exactly at this value, but rather at the value from the data which still lies inside of this boundary. Tukey, is to restrict the length of the whisker to maximally 1.5 times the inter quartile range (1.5*IQR). One possible definition, originating from John W. Unfortunately the english wikipedia version does not tell those reasons, but let me translate the explanation from the german wikipedia: However there are essentially two cases where this is not true. In principle the assumption is correct that whiskers on the boxplots should be of equal length if they use a multiple of the interquartile range (IQR).
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