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I think the desired functionality is closer to Pandas than Numpy — you want coordinated arrays of different data types, not higher-dimension arrays of the same
by grayclhn 5y ago
I think the desired functionality is closer to Pandas than Numpy — you want coordinated arrays of different data types, not higher-dimension arrays of the same data type.
R and Pandas aren’t exactly known for their outstanding native performance (they’re generally fast after converting dataframes to arrays and outsourcing to C or Fortran) so they’re great demonstrations of the syntax for some of these indexing problems but leave a lot to be desired.
- cozzyd 5y agoROOT TTrees will "split" class members to effectively transform them into AoS although this is mostly for IO efficiency.