.. _h5py-example-plotting:

Find plottable data in a NeXus HDF5 file
########################################

Let's make a new reader that follows the chain of
attributes (``@default``, ``@signal``, and ``@axes``)
to find the default plottable data.  We'll use the
same data file as the previous example.
Our demo here assumes one-dimensional data.  
(For higher dimensionality data,
we'll need more complexity when handling the 
``@axes`` attribute and we'll to check the
field sizes. See section :ref:`Find-Plottable-Data`, 
subsection :ref:`Find-Plottable-Data-v3`, for the details.)

.. compound::

    .. rubric:: *reader_attributes_trail.py*: Read a NeXus HDF5 file using Python
    
    .. _Example-Python-Reader_attributes_trail:

.. tabs::

    .. tab:: nexusformat

        .. literalinclude:: nexusformat/reader_attributes_trail.py
	        :tab-width: 4
	        :linenos:
	        :language: python

    .. tab:: h5py

        .. literalinclude:: reader_attributes_trail.py
	        :tab-width: 4
	        :linenos:
	        :language: python

Output from ``reader_attributes_trail.py`` is shown next.

.. compound::

    .. rubric:: Output from ``reader_attributes_trail.py``

    .. literalinclude:: reader_attributes_trail.txt
	    :tab-width: 4
	    :linenos:
	    :language: text

downloads
=========

The Python code and files related to this section may be downloaded from the following table.

==================================================  =================================================================
file                                                description
==================================================  =================================================================
:download:`reader_attributes_trail.py`              h5py code to read NeXus HDF5 file and find plottable data
:download:`nexusformat/reader_attributes_trail.py`  nexusformat code to read  NeXus HDF5 file and find plottable data
==================================================  =================================================================