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- """
- Class for reading data created by IGOR Pro
- (WaveMetrics, Inc., Portland, OR, USA)
- Depends on: igor (https://pypi.python.org/pypi/igor/)
- Supported: Read
- Author: Andrew Davison
- Also contributing: Rick Gerkin
- """
- from warnings import warn
- import numpy as np
- import quantities as pq
- from neo.io.baseio import BaseIO
- from neo.core import Block, Segment, AnalogSignal
- try:
- import igor.binarywave as bw
- import igor.packed as pxp
- HAVE_IGOR = True
- except ImportError:
- HAVE_IGOR = False
- class IgorIO(BaseIO):
- """
- Class for reading Igor Binary Waves (.ibw)
- or Packed Experiment (.pxp) files written by WaveMetrics’
- IGOR Pro software.
- It requires the `igor` Python package by W. Trevor King.
- Usage:
- >>> from neo import io
- >>> r = io.IgorIO(filename='...ibw')
- """
- is_readable = True # This class can only read data
- is_writable = False # write is not supported
- supported_objects = [Block, Segment, AnalogSignal]
- readable_objects = [Block, Segment, AnalogSignal]
- writeable_objects = []
- has_header = False
- is_streameable = False
- name = 'igorpro'
- extensions = ['ibw', 'pxp']
- mode = 'file'
- def __init__(self, filename=None, parse_notes=None):
- """
- Arguments:
- filename: the filename
- parse_notes: (optional) A function which will parse the 'notes'
- field in the file header and return a dictionary which will be
- added to the object annotations.
- """
- BaseIO.__init__(self)
- assert any([filename.endswith('.%s' % x) for x in self.extensions]), \
- "Only the following extensions are supported: %s" % self.extensions
- self.filename = filename
- self.extension = filename.split('.')[-1]
- self.parse_notes = parse_notes
- def read_block(self, lazy=False):
- assert not lazy, 'Do not support lazy'
- block = Block(file_origin=self.filename)
- block.segments.append(self.read_segment(lazy=lazy))
- block.segments[-1].block = block
- return block
- def read_segment(self, lazy=False):
- assert not lazy, 'Do not support lazy'
- segment = Segment(file_origin=self.filename)
- segment.analogsignals.append(
- self.read_analogsignal(lazy=lazy))
- segment.analogsignals[-1].segment = segment
- return segment
- def read_analogsignal(self, path=None, lazy=False):
- assert not lazy, 'Do not support lazy'
- if not HAVE_IGOR:
- raise Exception("`igor` package not installed. "
- "Try `pip install igor`")
- if self.extension == 'ibw':
- data = bw.load(self.filename)
- version = data['version']
- if version > 5:
- raise IOError("Igor binary wave file format version {} "
- "is not supported.".format(version))
- elif self.extension == 'pxp':
- assert type(path) is str, \
- "A colon-separated Igor-style path must be provided."
- _, filesystem = pxp.load(self.filename)
- path = path.split(':')
- location = filesystem['root']
- for element in path:
- if element != 'root':
- location = location[element.encode('utf8')]
- data = location.wave
- content = data['wave']
- if "padding" in content:
- assert content['padding'].size == 0, \
- "Cannot handle non-empty padding"
- signal = content['wData']
- note = content['note']
- header = content['wave_header']
- name = str(header['bname'].decode('utf-8'))
- units = "".join([x.decode() for x in header['dataUnits']])
- try:
- time_units = "".join([x.decode() for x in header['xUnits']])
- assert len(time_units)
- except:
- time_units = "s"
- try:
- t_start = pq.Quantity(header['hsB'], time_units)
- except KeyError:
- t_start = pq.Quantity(header['sfB'][0], time_units)
- try:
- sampling_period = pq.Quantity(header['hsA'], time_units)
- except:
- sampling_period = pq.Quantity(header['sfA'][0], time_units)
- if self.parse_notes:
- try:
- annotations = self.parse_notes(note)
- except ValueError:
- warn("Couldn't parse notes field.")
- annotations = {'note': note}
- else:
- annotations = {'note': note}
- signal = AnalogSignal(signal, units=units, copy=False, t_start=t_start,
- sampling_period=sampling_period, name=name,
- file_origin=self.filename, **annotations)
- return signal
- # the following function is to handle the annotations in the
- # Igor data files from the Blue Brain Project NMC Portal
- def key_value_string_parser(itemsep=";", kvsep=":"):
- """
- Parses a string into a dict.
- Arguments:
- itemsep - character which separates items
- kvsep - character which separates the key and value within an item
- Returns:
- a function which takes the string to be parsed as the sole argument
- and returns a dict.
- Example:
- >>> parse = key_value_string_parser(itemsep=";", kvsep=":")
- >>> parse("a:2;b:3")
- {'a': 2, 'b': 3}
- """
- def parser(s):
- items = s.split(itemsep)
- return dict(item.split(kvsep, 1) for item in items if item)
- return parser
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