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ENH: add option to HDFStore.put/append to optionally store the index of the object (default for back compat is True) #8319

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jreback opened this issue Sep 19, 2014 · 1 comment
Open

ENH: add option to HDFStore.put/append to optionally store the index of the object (default for back compat is True) #8319

jreback opened this issue Sep 19, 2014 · 1 comment
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Enhancement IO HDF5 read_hdf, HDFStore

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@jreback
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jreback commented Sep 19, 2014 

store.append(df,'df',write_index=True)

makes sense (index is already taken as its passed thru to determine whether to create an actual on in the table)
@jreback jreback added Enhancement IO HDF5 read_hdf, HDFStore Compat pandas objects compatability with Numpy or Python functions labels Sep 19, 2014
@jreback jreback added this to the 0.16 milestone Sep 19, 2014
@jreback jreback changed the title ENH: add index=True to HDFStore to optionally store the index (default for back compat is True) ENH: add index=True to HDFStore.put/append to optionally store the index (default for back compat is True) Sep 19, 2014
@jreback jreback changed the title ENH: add index=True to HDFStore.put/append to optionally store the index (default for back compat is True) ENH: add option to HDFStore.put/append to optionally store the index of the object (default for back compat is True) Sep 19, 2014
@jreback jreback mentioned this issue Sep 19, 2014
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@jreback jreback mentioned this issue Sep 30, 2014
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@jreback jreback modified the milestones: 0.16, 0.15.1 Oct 7, 2014
@jreback jreback modified the milestones: 0.16.0, Next Major Release Mar 6, 2015
@heroxbd
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heroxbd commented Feb 14, 2016

Hey, I need to pass the resulting hdf5 tables to R. The extra index column is annoying. Having this option will be very useful.

@jreback jreback mentioned this issue Mar 5, 2018
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@datapythonista datapythonista modified the milestones: Contributions Welcome, Someday Jul 8, 2018
@mroeschke mroeschke removed the Compat pandas objects compatability with Numpy or Python functions label Apr 10, 2020
@mroeschke mroeschke removed this from the Someday milestone Oct 13, 2022
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@heroxbd @jreback @datapythonista @mroeschke