This project empowers you to visualize orderflow footprint charts effortlessly using Python and Plotly.

Jun 21, 2021 · This example shows how to control category order when using plotly.graph_objects by defining categoryorder to "array" to derive the ordering from the …

Sankey diagrams visualize the contributions to a flow by defining source to represent the source node, target for the target node, value to set the flow volume, and label that shows the node …

Jun 25, 2019 · When plotting a scatter graph and then plotting a line, how do I set the order of the two elements? Currently, the points are on top but I want it the other way around. I did not find …

Jul 20, 2024 · In this article I will show you an insightful way to plot the Order Flow in Python. I learned about this method while reading Algorithmic and High-Frequency Trading, Álvaro …

Mar 12, 2025 · Each value represents the flow quantity associated with a specific link. The order of values corresponds to the order of the source-target pairs. Note: The source , target , and …

Jun 24, 2022 · Order the data and sort it - used pd.Categorical to set the order and then df.sort to sort the data so that the input is sorted by source and then destination. For the sankey node, …

Jun 28, 2022 · In Plotly Sankeys are defined by three lists, if you can configure them properly, most of your work is done. The three lists are source, target, and values. Plotly indexes each …

Graph objects support attached rendering (.show()) and exporting functions (.write_image()) that automatically invoke the appropriate functions from the plotly.io module.

Graph objects support attached rendering (.show()) and exporting functions (.write_image()) that automatically invoke the appropriate functions from the plotly.io module.