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textgrid

Version 0.2

A minimal python TextGrid module and CSV converter.

Tier labels are saved as a column called "tier". Points are treated as intervals with identical start and stop values.

Example input:

File type = "ooTextFile"
Object class = "TextGrid"

xmin = 0 
xmax = 4387.9766666666665 
tiers? <exists> 
size = 1
item []: 
    item [1]:
        class = "IntervalTier" 
        name = "Mary" 
        xmin = 0 
        xmax = 4387.9766666666665 
        intervals: size = 1
        intervals [1]:
            xmin = 0 
            xmax = 5.537098932314087 
            text = "z"

Example ouput using textgrid2csv example.TextGrid

start,stop,name,tier
0.0,5.537098932314087,z,Mary

installation

git clone https://github.com/kylerbrown/textgrid.git
cd textgrid
pip install .

# optional testing (requires pytest)
pytest -v

usage

usage: textgrid2csv [-h] [-o OUTPUT] [--sep SEP] [--noheader] [--savegaps]
                    TextGrid

convert a TextGrid file to a CSV.

positional arguments:
  TextGrid              a TextGrid file to process

optional arguments:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        (optional) outputfile
  --sep SEP             separator to use in CSV output
  --noheader            no header for the CSV
  --savegaps            preserves intervals with no label

programmatic usage with Python and Pandas:

>>> import pandas as pd
>>> import textgrid
>>> tgrid = textgrid.read_textgrid("example.TextGrid")
>>> tgrid
[Entry(start=0.0, stop=5.537098932314087, name='z', tier='Mary')]
>>> pd.DataFrame(tgrid)
   start      stop name    tier
0      0  5.537099     z    Mary
>>>