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Title:
SAS7BDAT parser: Faster string parsing by jonashaag ยท Pull Request #47404 ยท pandas-dev/pandas ยท GitHub
Description:
Speed up SAS7BDAT string reading. Today this brings a modest 10% performance improvement. But together with the other changes I will be proposing it will be a major bottleneck. closes #xxxx (Repl...
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Keywords {๐}
jonashaag, contributor, author, jreback, added, jbrockmendel, sasbdat, parser, pull, reviewed, string, merged, performance, request, member, sasrstrip, sign, issue, commits, files, view, cython, case, skip, conversation, commented, github, mentioned, pandasiosassaspyx, stringchunkjs, currentrow, nparraysourcestart, pyxt, branch, cdef, nparray, sas, add, main, asv, navigation, open, pandasdev, code, issues, projects, security, faster, parsing, pandasdevmain,
Topics {โ๏ธ}
latest doc/source/whatsnew/vx pandas/io/sas/sas code checks passed sas7bdat test files sas/rstrip branch added type annotations sas7bdat string reading view reviewed source[start+lngt-1] arguments/methods/functions changed significantly github issue number conversation faster string parsing pull request member jbrockmendel jonashaag mentioned source[start performance increased pandas-dev tests added yehoshuadimarsky/pandas review cython optimize whatsnew note start + lngt jonashaag asv results asv suite main rstrip added cdef bytes 2 files files major bottleneck replace xxxx string_chunk[js uint8_t isnt white space positive side elif column_types[ perf bottleneck completely useless min duration manually slicing worth opening personal information cython current_row] = np
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Questions {โ}
- Already have an account?
- I've added a what's new for all 3 PRs here, that ok?
- Shall I add those to the ASV suite (or simply all of the files)?
- What kind of casting?
- Also do we have asv's for this case?
- Array call?
- Could cython optimize it if the bytes object were declared as such?
- Is it worth opening an issue in cython about optimizing this?
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