Or catplot()) than to use FacetGrid directly. It will be better to use a figure-level function (e.g. Setting the data type of the variables to category). When using seaborn functions that infer semantic mappings from aĭataset, care must be taken to synchronize those mappings acrossįacets (e.g., by defining the hue mapping with a palette dict or See the detailedĬode examples below for more information. Plot can be tweaked with other methods to do things like change theĪxis labels, use different ticks, or add a legend. One or more plotting functions can be applied to each subset by callingįacetGrid.map() or FacetGrid.map_dataframe(). The dataset and the variables that are used to structure the grid. The basic workflow is to initialize the FacetGrid object with Parameter for the specific visualization the way that axes-level This uses color to resolve elements on a third dimension, but onlyĭraws subsets on top of each other and will not tailor the hue Parameter, which plots different subsets of data in different colors. It can also represent levels of a third variable with the hue The plots it produces are often called “lattice”, “trellis”, or This class maps a dataset onto multiple axes arrayed in a grid of rowsĪnd columns that correspond to levels of variables in the dataset. Initialize the matplotlib figure and FacetGrid object. _init_ ( data, *, row = None, col = None, hue = None, col_wrap = None, sharex = True, sharey = True, height = 3, aspect = 1, palette = None, row_order = None, col_order = None, hue_order = None, hue_kws = None, dropna = False, legend_out = True, despine = True, margin_titles = False, xlim = None, ylim = None, subplot_kws = None, gridspec_kws = None ) # Multi-plot grid for plotting conditional relationships. FacetGrid ( data, *, row = None, col = None, hue = None, col_wrap = None, sharex = True, sharey = True, height = 3, aspect = 1, palette = None, row_order = None, col_order = None, hue_order = None, hue_kws = None, dropna = False, legend_out = True, despine = True, margin_titles = False, xlim = None, ylim = None, subplot_kws = None, gridspec_kws = None ) #

Seaborn scatter plot with size color