50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
from pathlib import Path
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import numpy as np
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from IPython import embed
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from pandas import read_csv
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class Behavior:
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"""Load behavior data from csv file as class attributes
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Attributes
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----------
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behavior_type:
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behavioral_category:
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comment_start:
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comment_stop:
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dataframe: pandas dataframe with all the data
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duration_s:
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media_file:
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observation_date:
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observation_id:
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start_s:
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stop_s:
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total_length:
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"""
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def __init__(self, datapath: str) -> None:
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csv_file = str(sorted(Path(datapath).glob('**/*.csv'))[0])
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self.dataframe = read_csv(csv_file, delimiter=',')
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for key in self.dataframe:
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if ' ' in key:
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new_key = key.replace(' ', '_')
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if '(' in new_key:
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new_key = new_key.replace('(', '')
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new_key = new_key.replace(')', '')
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new_key = new_key.lower()
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setattr(self, new_key, np.array(self.dataframe[key]))
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def main(datapath: str):
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# behabvior is pandas dataframe with all the data
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behavior = Behavior(datapath)
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if __name__ == '__main__':
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# Path to the data
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datapath = '../data/mount_data/2020-03-13-10_00/'
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main(datapath)
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