Скачать или смотреть Drop Down Menu for Plotly Charts

This text explores how to use dropdown menus for interactive Plotly charts in Python. Plotly offers several interactive features such as hover, zoom, pan, selection tools, legends, sliders, and dropdowns. The example begins by loading financial data from the Federal Reserve website using pandas.read_html, cleaning and reshaping the dataframe for visualization. A bar chart is created using Plotly Express, and a dropdown menu is added that allows users to select different variables to visualize dynamically. Each dropdown option is linked to a different column of the dataset using a buttonlist. The layout is customized for usability, including placement of the dropdown above the chart. A second example uses Plotly Graph Objects to create a scatter plot where each feature is represented by large markers and is initially hidden. A dropdown menu lets users toggle the visibility of each feature one at a time, enhancing interactivity. Both examples demonstrate how dropdowns empower users to explore high-dimensional data visually. The output charts are saved and rendered as temporary HTML files. Overall, dropdown-enabled charts improve data storytelling by letting users control what data is shown.