In particular, numeric variablesĪre represented with a sequential colormap by default, and the legendĮntries show regular “ticks” with values that may or may not exist in theĭata. Represent “numeric” or “categorical” data. Semantic, if present, depends on whether the variable is inferred to The default treatment of the hue (and to a lesser extent, size) Hue and style for the same variable) can be helpful for making
Using all three semantic types, but this style of plot can be hard to It is possible to show up to three dimensions independently by Parameters control what visual semantics are used to identify the different Of the data using the hue, size, and style parameters.
The relationship between x and y can be shown for different subsets scatterplot ( data = None, *, x = None, y = None, hue = None, size = None, style = None, palette = None, hue_order = None, hue_norm = None, sizes = None, size_order = None, size_norm = None, markers = True, style_order = None, legend = 'auto', ax = None, ** kwargs ) #ĭraw a scatter plot with possibility of several semantic groupings.
