BUG: HDFStore fixes #2675
BUG: HDFStore fixes #2675
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jreback
commented
Jan 10, 2013
jreback
commented
- shape attribute on GenericStorer returns tuple correctly now (not string)
- data_orientation was potentitally returning non-ints in a tuple (fixed downstream), fixes GH nosetests: ERROR: test using ndim tables in new ways #2671, though fixed downstream anyhow
- fix for contains with a non-natural name (GH HDFStore.__contains__ bug due to use of regex #2694 )
- added ability to read generic PyTables flavor tables
- added PerformanceWarning to trigger on putting of non-endemic types (only on Storers)
- correctly store float32 dtypes (when not-mixed with float64, otherwise converted)
- can close GH HDFStore('file.ext') can't load HDF5 stores created by pytables #1985 as well
…t string)
data_orientation was potentitally returning non-ints in a tuple (fixed downstream)
… compatiblity between other HDF5 systems
…ode (only for GenericTable)
…r/readout), where readout is a table
added pytables_native2.h5 for testing
BUG: force travis to rebuild
BUG: fix travis build 2
…-endemic type
fixed legacy_0.10.h5 issues with docs (finding file)
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thanks jeff much appreciated as always |
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Thanks jreback, float32s were on my wishlist :) I would like to get started contributing especially in |
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great 2 hear! issue #2391 is an older list of todos a couple of possibilities: real dtype integration is coming on PR #2708 (eg even though 0.10.1 will actually read/write float32 columns u can't really do much with them w/o having them upcasted) - in any event I think HDFStore will accommodate this already one big area is to test whether data columns really are slower; it thus may make sense to make data columns = True the default (but not necessarily index them) are u familiar with R? I think could make export a bit easier (there is a section in docs, but maybe a dedicated option. / function) have some more thoughts but maybe will start a new issue |
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I updated #2391 with some ideas....feel free to suggest based on your use cases... |
