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46 changes: 22 additions & 24 deletions examples/plot_igorio.py
Original file line number Diff line number Diff line change
@@ -1,41 +1,39 @@
"""
IgorProIO Demo (BROKEN)
IgorProIO Demo
=======================

"""

###########################################################
# Import our packages
import os

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

#############################################################
# 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.
# we can try out some data on the NeuralEnsemble ephy testing repo

# 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)
url_repo = "https://web.gin.g-node.org/NeuralEnsemble/ephy_testing_data/raw/master/"
distantfile = url_repo + "igor/win-version2.ibw"
localfile = "win-version2.ibw"
urlretrieve(distantfile, localfile)

# 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()
# 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
#
# Note: not all IOs have all types of read functionality
# see our documentation for a better understanding of the
# Neo object hierarchy and the functionality of differnt IOs

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

plt.show()
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