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dft_tools/doc/reference/python/data_analysis/hdf5/tut_ex3.rst
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.. _hdf5_tut_ex3:
Example 3 : Use the dictionary interface of the archive
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The archive is like a dictionary, persistent on disk.
`[for Python afficionados, it is similar to a shelve, but in a portable format]`.
Therefore, one can iterate on its elements.
Let us imagine that you have stored 5 Green functions in an hdf5 file.
For example, we can create such a file as :download:`[file] <./tut_ex3.py>`:
.. literalinclude:: tut_ex3.py
Imagine that we want to plot those functions :download:`[file] <./tut_ex3b.py>`:
.. literalinclude:: tut_ex3b.py
:lines: 1-13
This produces the following plot (scaled semi-circular density of states).
.. image:: tut_ex3b.png
:width: 750
:align: center
Various pythonic constructs can be used in combinaison with HDFArchive, e.g.
in order to plot only a few curves from a list ::
keylist = ['D=1', 'D=3']
for g in ( R[x] for x in keylist) : # use an iterator
oplot( (- 1/pi * g).imag, "-o", name = 'g' )
or if we want to add the names ::
for n,g in ( (x,R[x]) for x in keylist) : # use an iterator
oplot( (- 1/pi * g).imag, "-o", name = n )
The advantage of using an iterator is that the object is only retrieved from disk when needed.