.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_04_glm_first_level_write_events_file.py>`     to download the full example code or to run this example in your browser via Binder
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_examples_04_glm_first_level_write_events_file.py:

Example of a events.tsv file generation: the neurospin/localizer events.
=============================================================================

The protocol described is the so-called "archi standard" localizer
event sequence.  See Pinel et al., BMC neuroscience 2007 for reference.


.. code-block:: default


    print(__doc__)


Define the onset times in seconds. Those are typically extracted
from the stimulation software used.


.. code-block:: default

    import numpy as np
    onset = np.array([
        0., 2.4, 8.7, 11.4, 15., 18., 20.7, 23.7, 26.7, 29.7, 33., 35.4, 39.,
        41.7, 44.7, 48., 56.4, 59.7, 62.4, 69., 71.4, 75., 83.4, 87., 89.7,
        96., 108., 116.7, 119.4, 122.7, 125.4, 131.4, 135., 137.7, 140.4,
        143.4, 146.7, 149.4, 153., 156., 159., 162., 164.4, 167.7, 170.4,
        173.7, 176.7, 188.4, 191.7, 195., 198., 201., 203.7, 207., 210.,
        212.7, 215.7, 218.7, 221.4, 224.7, 227.7, 230.7, 234., 236.7, 246.,
        248.4, 251.7, 254.7, 257.4, 260.4, 264., 266.7, 269.7, 275.4, 278.4,
        284.4, 288., 291., 293.4, 296.7])


Associated trial types: these are numbered between 0 and 9, hence
correspond to 10 different conditions.


.. code-block:: default

    trial_idx = np.array(
        [7, 7, 0, 2, 9, 4, 9, 3, 5, 9, 1, 6, 8, 8, 6, 6, 8, 0, 3, 4, 5, 8, 6,
         2, 9, 1, 6, 5, 9, 1, 7, 8, 6, 6, 1, 2, 9, 0, 7, 1, 8, 2, 7, 8, 3, 6,
         0, 0, 6, 8, 7, 7, 1, 1, 1, 5, 5, 0, 7, 0, 4, 2, 7, 9, 8, 0, 6, 3, 3,
         7, 1, 0, 0, 4, 1, 9, 8, 4, 9, 9])


We may want to map these indices to explicit condition names.
For that, we define a list of 10 strings.


.. code-block:: default

    condition_ids = ['horizontal checkerboard',
                     'vertical checkerboard',
                     'right button press, auditory instructions',
                     'left button press, auditory instructions',
                     'right button press, visual instructions',
                     'left button press, visual instructions',
                     'mental computation, auditory instructions',
                     'mental computation, visual instructions',
                     'visual sentence',
                     'auditory sentence']

    trial_type = np.array([condition_ids[i] for i in trial_idx])


We also define a duration (required by BIDS conventions).


.. code-block:: default

    duration = np.ones_like(onset)



Form an event dataframe from these information.


.. code-block:: default

    import pandas as pd
    events = pd.DataFrame({'trial_type': trial_type,
                           'onset': onset,
                           'duration': duration})


Export them to a tsv file.


.. code-block:: default

    tsvfile = 'localizer_events.tsv'
    events.to_csv(tsvfile, sep='\t', index=False)
    print("Created the events file in %s " % tsvfile)


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_04_glm_first_level_write_events_file.py:


.. only :: html

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


  .. container:: binder-badge

    .. image:: https://mybinder.org/badge_logo.svg
      :target: https://mybinder.org/v2/gh/nilearn/nilearn.github.io/master?filepath=examples/auto_examples/04_glm_first_level/write_events_file.ipynb
      :width: 150 px


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

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



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

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


.. only:: html

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

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