Every PX function returns a aph_objects.Figure object, so you can edit it using all the same methods like update_layout and add_trace.
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Multidimensional: scatter_matrix, parallel_coordinates, parallel_categories.2D Distributions: density_heatmap, density_contour.1D Distributions: histogram, box, violin, strip, ecdf.Part-of-Whole: pie, sunburst, treemap, icicle, funnel_area.Basics: scatter, line, area, bar, funnel, timeline.Plotly Express currently includes the following functions: Here is a talk from the SciPy 2021 conference that gives a good introduction to Plotly Express and Dash: Scroll down for a gallery of Plotly Express plots, each made in a single function call. The API for these functions was carefully designed to be as consistent and easy to learn as possible, making it easy to switch from a scatter plot to a bar chart to a histogram to a sunburst chart throughout a data exploration session. Plotly Express provides more than 30 functions for creating different types of figures. Any figure created in a single function call with Plotly Express could be created using graph objects alone, but with between 5 and 100 times more code.
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Throughout the plotly documentation, you will find the Plotly Express way of building figures at the top of any applicable page, followed by a section on how to use graph objects to build similar figures.
Every Plotly Express function uses graph objects internally and returns a aph_objects.Figure instance. Plotly Express is a built-in part of the plotly library, and is the recommended starting point for creating most common figures. The plotly.express module (usually imported as px) contains functions that can create entire figures at once, and is referred to as Plotly Express or PX.
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