EMG_Biometrics_2021/Handle_emg_data.py

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import pandas as pd
from pathlib import Path
class CSV_handler:
def __init__(self):
self.working_dir = str(Path.cwd())
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# Makes dataframe from the csv files in the working directory
def make_df(self, filename):
filepath = self.working_dir + str(filename)
df = pd.read_csv(filepath)
return df
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# Extracts out the timestamp and the selected emg signal into a new dataframe
def get_time_emg_table(self, filename, emg_nr):
tot_data_frame = self.make_df(filename)
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emg_str = self.get_emg_str(emg_nr)
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filtered_df = tot_data_frame[["timestamp", emg_str]]
return filtered_df
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def get_emg_str(emg_nr):
return 'emg' + str(emg_nr)
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