When performing statistical profiling we obtain many call stacks. We aggregate these call stacks into data structures that maintain counts of how many times each function in that call stack has been called. Because these stacks will overlap this aggregation counting structure forms a tree, such as is commonly visualized by profiling tools.
We represent this tree as a nested dictionary with the following form:
This module contains utility functions to construct and manipulate counting data structures for frames.
This module contains utility functions to construct and manipulate counting data structures for frames.
When performing statistical profiling we obtain many call stacks. We aggregate these call stacks into data structures that maintain counts of how many times each function in that call stack has been called. Because these stacks will overlap this aggregation counting structure forms a tree, such as is commonly visualized by profiling tools.
We represent this tree as a nested dictionary with the following form:
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them
