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scikit-hep / histbook

Versatile, high-performance histogram toolkit for Numpy.
BSD 3-Clause "New" or "Revised" License
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NumExpr integration #26

Open jpivarski opened 6 years ago

jpivarski commented 6 years ago
  1. Ensure that the histogram-specifying language is identical to NumExpr, so that NumExpr expressions can be used to book histograms.
  2. Identify NumExpr sub-expressions that are used only once (in instr.py) and merge them (only if NumExpr is available! introduce an internal flag).
  3. Use NumExpr to evaluate them, if available.
  4. Use formulate to accept TTree::Draw syntax.