![]() ![]() Name of errorbar method (either “ci”, “pi”, “se”, or “sd”), or a tuple errorbar string, (string, number) tuple, callable or None Statistical function to estimate within each categorical bin. estimator string or callable that maps vector -> scalar Options are: “strip”, “swarm”, “box”, “violin”, The kind of plot to draw, corresponds to the name of a categoricalĪxes-level plotting function. row, col names of variables in data or vector dataĬategorical variables that will determine the faceting of the grid. x, y, hue names of variables in data or vector data Otherwise it is expected to be long-form. Parameters : data DataFrame, Series, dict, array, or list of arraysĭataset for plotting. Should refer to the documentation for each to see kind-specific options.īy default, this function treats one of the variables as categoricalĪnd draws data at ordinal positions (0, 1, … n) on the relevant axis.Īs of version 0.13.0, this can be disabled by setting native_scale=True.Īfter plotting, the FacetGrid with the plot is returned and canīe used directly to tweak supporting plot details or add other layers. Stripplot() (with kind="strip" the default)Įxtra keyword arguments are passed to the underlying function, so you Parameter selects the underlying axes-level function to use. Variables using one of several visual representations. Show the relationship between a numerical and one or more categorical This function provides access to several axes-level functions that catplot ( data=None, *, x=None, y=None, hue=None, row=None, col=None, kind='strip', estimator='mean', errorbar=('ci', 95), n_boot=1000, units=None, seed=None, order=None, hue_order=None, row_order=None, col_order=None, col_wrap=None, height=5, aspect=1, log_scale=None, native_scale=False, formatter=None, orient=None, color=None, palette=None, hue_norm=None, legend='auto', legend_out=True, sharex=True, sharey=True, margin_titles=False, facet_kws=None, ci=, **kwargs ) #įigure-level interface for drawing categorical plots onto a FacetGrid. ![]()
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