21 lines
864 B
Python
21 lines
864 B
Python
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import pandas as pd
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import numpy as np
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def dbdp_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
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sensor_data = pd.read_csv(sensor_data_files["sensor_data"])
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requested_features = provider["FEATURES"]
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# name of the features this function can compute
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base_features_names = [] # ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude"]
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# the subset of requested features this function can compute
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features_to_compute = list(set(requested_features) & set(base_features_names))
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features = pd.DataFrame(columns=["local_segment"] + features_to_compute)
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if not sensor_data.empty:
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sensor_data = filter_data_by_segment(sensor_data, time_segment)
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if not sensor_data.empty:
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features = pd.DataFrame()
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return features
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