2/8/2024 0 Comments Polar coordinate graph![]() Marginal Plots: the 2D-cartesian plotting functions support marginal distribution plots with the marginal, marginal_x and marginal_y arguments.Faceting: the 2D-cartesian plotting functions support row, column and wrapped facetting with facet_row, facet_col and facet_col_wrap arguments.Uniform Color Handling: PX functions automatically switch between continuous and categorical color based on the input type.Styling Control: PX functions read styling information from the default figure template, and support commonly-needed cosmetic controls like category_orders and color_discrete_map to precisely control categorical variables.Automatic Hover Labels: PX functions populate the hover-label using the labels mentioned above, and provide extra control with the hover_name and hover_data arguments.Automatic Figure Labelling: PX functions label axes, legends and colorbars based in the input DataFrame or xarray, and provide extra control with the labels argument. ![]() Traces are automatically linked to a correctly-configured subplot of the appropriate type. Traces' legendgroup and showlegend attributes are set such that only one legend item appears per unique combination of discrete color, symbol and/or line-dash. Automatic Trace and Layout configuration: PX functions will create one trace per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column.Flexible Input Formats: PX functions accept input in a variety of formats, from lists and dicts to long-form or wide-form DataFrames to numpy arrays and xarrays to GeoPandas GeoDataFrames. ![]()
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