Feb 26, 2014 · The question is, is there any way in matplotlib or anything in python that will allow me to click on a valid point to do something? So, for example, I would be able to click on (10, 75) if that datum exists in my original data and then I would be able to do something in Python.

We’ll explore how to move beyond static images and build truly clickable plots using Matplotlib, Flask, and other powerful tools. This will allow you to create dynamic and responsive charts that go far beyond simple PNG exports.

Jan 22, 2025 · By leveraging Plotly's range slider and custom buttons, you can create more interactive and user-friendly line charts. This approach maximizes the informative value of your visualizations while providing users the freedom to explore …

Click Events With FigureWidget. New to Plotly? See these Jupyter notebooks for even more FigureWidget examples. Register function to be called when the user clicks on one or more. points in this trace. Note: Callbacks will only be triggered when the trace belongs to a. instance of plotly.graph_objs.FigureWidget and it is displayed in an.

In a timeline plot, each row of data_frame is represented as a rectangular mark on an x axis of type date, spanning from x_start to x_end. Parameters data_frame ( DataFrame or array-like or dict ) – This argument needs to be passed for column names (and …

The px.timeline function by default sets the X-axis to be of type=date, so it can be configured like any time-series chart. Plotly Express also supports a general-purpose px.bar function for bar charts .

Apr 17, 2024 · The code below (taken from Tom’s repo) will generate two charts. This is one of them. Here’s the full .py code in case people are interested: .astype(str) .str[:7], format="%Y-%m") # Control ChatGPT date format output. stop=len(df)+1, step=N_UNIQUE_RETAIL_GROUPS): df_slicing = df.iloc[:index].copy()

Mar 21, 2025 · 📊 Learn how to create an interactive Annotated Timeline using Python! In this tutorial, we will explore Matplotlib, Plotly, and Pandas to build visually appealing time-based data...

Use mpl_connect to bind click events to custom functions. Enable picking by setting the picker property when creating artists. For example, plt.plot(x, y, picker=5) allows clicks within 5 pixels of the line. The pick_event triggers when the artist is clicked. artist = event.artist. mouse_x, mouse_y = event.mouse_event.xdata, event.mouse_event.ydata

Apr 28, 2022 · This article shows some visualizations with Python code examples for handling overlaying lines in the multiple time-series plot. The two main concepts are using interactive plots and separating them. The interactive chart is helpful with options that allow users to select categories freely, while separating the plots helps users compare them ...