If True, draw onto this layer a raster (bitmap) object even ifthe final image is in vector format. e.g show_legend =, any other aesthetic are included by default. A dict can be used to exclude specific aesthetis of the layer from showing in the legend. If a bool, False never includes and True always includes. None the default, includes any aesthetics that are mapped. Whether this layer should be included in the legends. show_legend bool or dict, optional (default: None) This toy data will be used in the examples below. The variable x represents the age of the person, y represents their answer and group represents their city. If False, overrides the default aesthetics. Sample data The following data represents the answers to the question: How many hours a day do you spend watching TV. inherit_aes bool, optional (default: True) If False, removes missing values with a warning. If it is a string, it must be registered and known to Plotnine. position str or position, optional (default: position_stack) If it is a string, it must be the registered and known to Plotnine. The statistical transformation to use on the data for this layer. stat str or stat, optional (default: stat_identity) If specified, it overrides the data from the ggplot () call. If None, the data from from the ggplot () call is used. You must supply mapping if there is no plot mapping. aes = True, it is combined with the default mapping for the plot. Parameters mapping aes, optionalĪesthetic mappings created with aes(). **kwargs can be aesthetics (or parameters) Only the data and mapping can be positional, the rest mustīe keyword arguments. Geom_col ( mapping = None, data = None, stat = 'identity', position = 'stack', na_rm = False, inherit_aes = True, show_legend = None, raster = False, width = None, ** kwargs )
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