From: Andreas H. <li...@hi...> - 2013-06-05 08:48:39
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On 05.06.2013 09:15, Seref Arikan wrote: > You would be suprised to see how convenient HDF5 can be in small scale > data :) There are cases where one may need to use binary serialization > of a few thousand items, but still needing metadata, indexing and other > nice features provided by HDF5/pyTables. You're right, Seref! That's why I wrote a small little script which supports saving the script which generates the H5 file to the H5 file itself, in a file_node. That way, if you have the data file, you can always see what you did to create it :) You can find the script here: https://github.com/andreas-h/pyrepsci It's not cleaned up, but does the job. Currently, it works only via pandas, but when I find the time I'll make it more general. Maybe you find this useful. -- Andreas. |