.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples/plot_igorio.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_plot_igorio.py: IgorProIO Demo (BROKEN) ======================= .. GENERATED FROM PYTHON SOURCE LINES 8-9 Import our packages .. GENERATED FROM PYTHON SOURCE LINES 9-15 .. code-block:: Python import os from urllib.request import urlretrieve import zipfile import matplotlib.pyplot as plt from neo.io import get_io .. GENERATED FROM PYTHON SOURCE LINES 16-21 Then download some data Downloaded from Human Brain Project Collaboratory Digital Reconstruction of Neocortical Microcircuitry (nmc-portal) http://microcircuits.epfl.ch/#/animal/8ecde7d1-b2d2-11e4-b949-6003088da632 NOTE: this dataset is not found as the link is broken. .. GENERATED FROM PYTHON SOURCE LINES 21-42 .. code-block:: Python # 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() # ###################################################### # # Once we have our data we can use `get_io` to find an # # io (Igor in this case). Then we read the analogsignals # # Finally we will make some nice plots # reader = get_io(filename) # signal = reader.read_analogsignal() # plt.plot(signal.times, signal) # plt.xlabel(signal.sampling_period.dimensionality) # plt.ylabel(signal.dimensionality) # plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.000 seconds) .. _sphx_glr_download_examples_plot_igorio.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_igorio.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_igorio.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_igorio.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_