Reading old HDF5 stores created by pandas












1















I'm having some trouble reading and old HDF5 file that I made with pandas in python 2.7.



At the time I was using the to_hdf method to append groups to the file (e.g. db.to_hdf('File.h5', 'groupNameA', mode='a', data_columns=True, format='table'))



Now when I open the store and get the keys of the groups I find that each one has a slash added to the name ('/groupNameA' in the example above). Attempting to access those groups with store['/groupNameA'], store.select('/groupNameA'), etc. produces TypeError: getattr(): attribute name must be string. Getting that error seems correct (slashes should not be used in these keys) but that doesn't help me get my data into a python 3 environment.



If there's a way to get around this problem in python 3, that'd be great.



Alternatively, I can still load the data in my 2.7 environment. So changing the code for writing the store so that slashes don't get added would probably solve the issue as well.










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    1















    I'm having some trouble reading and old HDF5 file that I made with pandas in python 2.7.



    At the time I was using the to_hdf method to append groups to the file (e.g. db.to_hdf('File.h5', 'groupNameA', mode='a', data_columns=True, format='table'))



    Now when I open the store and get the keys of the groups I find that each one has a slash added to the name ('/groupNameA' in the example above). Attempting to access those groups with store['/groupNameA'], store.select('/groupNameA'), etc. produces TypeError: getattr(): attribute name must be string. Getting that error seems correct (slashes should not be used in these keys) but that doesn't help me get my data into a python 3 environment.



    If there's a way to get around this problem in python 3, that'd be great.



    Alternatively, I can still load the data in my 2.7 environment. So changing the code for writing the store so that slashes don't get added would probably solve the issue as well.










    share|improve this question

























      1












      1








      1








      I'm having some trouble reading and old HDF5 file that I made with pandas in python 2.7.



      At the time I was using the to_hdf method to append groups to the file (e.g. db.to_hdf('File.h5', 'groupNameA', mode='a', data_columns=True, format='table'))



      Now when I open the store and get the keys of the groups I find that each one has a slash added to the name ('/groupNameA' in the example above). Attempting to access those groups with store['/groupNameA'], store.select('/groupNameA'), etc. produces TypeError: getattr(): attribute name must be string. Getting that error seems correct (slashes should not be used in these keys) but that doesn't help me get my data into a python 3 environment.



      If there's a way to get around this problem in python 3, that'd be great.



      Alternatively, I can still load the data in my 2.7 environment. So changing the code for writing the store so that slashes don't get added would probably solve the issue as well.










      share|improve this question














      I'm having some trouble reading and old HDF5 file that I made with pandas in python 2.7.



      At the time I was using the to_hdf method to append groups to the file (e.g. db.to_hdf('File.h5', 'groupNameA', mode='a', data_columns=True, format='table'))



      Now when I open the store and get the keys of the groups I find that each one has a slash added to the name ('/groupNameA' in the example above). Attempting to access those groups with store['/groupNameA'], store.select('/groupNameA'), etc. produces TypeError: getattr(): attribute name must be string. Getting that error seems correct (slashes should not be used in these keys) but that doesn't help me get my data into a python 3 environment.



      If there's a way to get around this problem in python 3, that'd be great.



      Alternatively, I can still load the data in my 2.7 environment. So changing the code for writing the store so that slashes don't get added would probably solve the issue as well.







      python pandas pytables hdfstore






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      asked Nov 28 '18 at 0:21









      DanDan

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