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Pandas is a Python library for data manipulation and analysis, e.g


A Python library for working with extremely large hierarchical (HDF5) datasets.



Pytables seems more flexible but i am unclear about what the most direct way of using it to save a full pandas dataframe with multiindex and all

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Since functionality provided by pandas is not needed and the processing is much slower see notebook below the best approach is using pytables or h5py directly;i ve tried only the pytables approach so far

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Python particles simulator: out-of-core processing

The complication of course is that it looks like you are using pytables via pandas and not raw hdf5;pytables is hdf5 but adds a layer of structure and semantics on top of hdf5 s groups and datasets

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How to aggregate multiple hdf5 files into a one image

I don t have enough karma to reply to luke h s answer but reading it into pandas might not be a good idea;pandas hdf5 uses pytables which is an opinionated way of using hdf5

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Data in HDF file using Python missing

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