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Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
Otherwise pip install will ignore cython
adding PerfFlowAspect Reader with some example files https://github.com/flux-framework/PerfFlowAspect
Following the example on some caliper files: https://llnl-hatchet.readthedocs.io/en/latest/analysis_examples.html#read-in-a-caliper-cali-file Fails with above error we can see [here](https://llnl-hatchet.readthedocs.io/en/latest/_modules/hatchet/readers/caliper_reader.html) That a "path" is expected. I believe this example used to work sometime ago...
When running `update_inclusive_columns` on various datasets with a row `MultiIndex`, the function errors with an `AttributeError`. I originally discovered this while testing profiles associated with DYAD. I've managed to reproduce...
This PR fixes the build and test issue with Timemory.
This PR completely revamps the documentation for the query language to be more consistent with the eScience paper and to point out features that had not previously been documented.
The CCT visualization now supports auto-updating. If the user places a "?" in front of the input variable name passed as an argument to the visualization it will reload automatically...
Apply .nice() to histogram axes in tree visualization to mitigate overlap and other visual unpleasantness.