aspect scalarĪspect ratio of each facet, so that aspect * height gives the width Orders are inferred from the data objects. Order to organize the rows and/or columns of the grid in, otherwise the row_order, col_order lists of strings, optional Order to plot the categorical levels in otherwise the levels are order, hue_order lists of strings, optional
#SNS SUBPLOT GENERATOR#
Seed or random number generator for reproducible bootstrapping. Multilevel bootstrap and account for repeated measures design. Identifier of sampling units, which will be used to perform a units name of variable in data or vector data, optional Number of bootstrap samples used to compute confidence intervals. Vector to a (min, max) interval, or None to hide errorbar. With a method name and a level parameter, or a function that maps from a 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, optional “Wrap” the column variable at this width, so that the column facets row, col names of variables in data, optionalĬategorical variables that will determine the faceting of the grid. To a variable, and each row should correspond to an observation. This function always treats one of the variables as categorical andĭraws data at ordinal positions (0, 1, … n) on the relevant axis,Įven when the data has a numeric or date type.Īfter plotting, the FacetGrid with the plot is returned and canīe used directly to tweak supporting plot details or add other layers. Passed in a long-form DataFrame with variables specified by passing strings Note that unlike when using the axes-level functions directly, data must be Should refer to the documentation for each to see kind-specific options. 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, col_wrap = None, estimator = 'mean', errorbar = ('ci', 95), n_boot = 1000, units = None, seed = None, order = None, hue_order = None, row_order = None, col_order = None, height = 5, aspect = 1, kind = 'strip', 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 = 'deprecated', ** kwargs ) #įigure-level interface for drawing categorical plots onto a FacetGrid.
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