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"""
Reading files with neo.io
=========================
"""
####################################################
# Start with package import and getting a datafile
import urllib
import neo
url_repo = "https://web.gin.g-node.org/NeuralEnsemble/ephy_testing_data/raw/master/"
# Plexon files
distantfile = url_repo + "plexon/File_plexon_3.plx"
localfile = "File_plexon_3.plx"
urllib.request.urlretrieve(distantfile, localfile)
###################################################
# Now we can create our reader and read some data
# create a reader
reader = neo.io.PlexonIO(filename="File_plexon_3.plx")
# read the blocks
blks = reader.read(lazy=False)
print(blks)
######################################################
# Once we have our blocks we can iterate through each
# block of data and see the contents of all parts of
# that data
# access to segments
for blk in blks:
for seg in blk.segments:
print(seg)
for asig in seg.analogsignals:
print(asig)
for st in seg.spiketrains:
print(st)
#######################################################
# Let's look at another file type
# CED Spike2 files
distantfile = url_repo + "spike2/File_spike2_1.smr"
localfile = "./File_spike2_1.smr"
urllib.request.urlretrieve(distantfile, localfile)
# create a reader
reader = neo.io.Spike2IO(filename="File_spike2_1.smr")
#########################################################
# Despite being a different raw file format we can access
# the data in the same way
# read the block
bl = reader.read(lazy=False)[0]
print(bl)
##########################################################
# Similarly we can view the different types of data within
# the block (AnalogSignals and SpikeTrains)
# access to segments
for seg in bl.segments:
print(seg)
for asig in seg.analogsignals:
print(asig)
for st in seg.spiketrains:
print(st)
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