.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/igorio.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_igorio.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_igorio.py:


IgorProIO Demo
===========================

.. GENERATED FROM PYTHON SOURCE LINES 6-32

.. code-block:: Python


    import os
    from urllib.request import urlretrieve
    import zipfile
    import matplotlib.pyplot as plt
    from neo.io import get_io


    # Downloaded from Human Brain Project Collaboratory
    # Digital Reconstruction of Neocortical Microcircuitry (nmc-portal)
    # http://microcircuits.epfl.ch/#/animal/8ecde7d1-b2d2-11e4-b949-6003088da632
    datafile_url = "https://microcircuits.epfl.ch/data/released_data/B95.zip"
    filename_zip = "B95.zip"
    filename = 'grouped_ephys/B95/B95_Ch0_IDRest_107.ibw'
    urlretrieve(datafile_url, filename_zip)

    zip_ref = zipfile.ZipFile(filename_zip)  # create zipfile object
    zip_ref.extract(path='.', member=filename)  # extract file to dir
    zip_ref.close()


    reader = get_io(filename)
    signal = reader.read_analogsignal()
    plt.plot(signal.times, signal)
    plt.xlabel(signal.sampling_period.dimensionality)
    plt.ylabel(signal.dimensionality)


.. _sphx_glr_download_examples_igorio.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: igorio.ipynb <igorio.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: igorio.py <igorio.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_