Hdf5 table
Revision as of 11:10, 17 December 2013 by Brelier (talk | contribs) (→Writting a table using Python (PyTables))
Storing table in HDF5
The HDF5 Table interface condenses the steps needed to create tables in HDF5. The datatype of the dataset that gets created is of type H5T_COMPOUND. The members of the table can have different datatypes.
Writting a table using Python (PyTables)
PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package. The following example shows how to store a table of 10 records :
| name | ADCcount | grid_i | grid_j | pressure | energy | idnumber |
|---|---|---|---|---|---|---|
| 16-character String | Unsigned short integer | 32-bit integer | 32-bit integer | float (single-precision) | double (double-precision) | Signed 64-bit integer |