13 lines
737 B
Python
13 lines
737 B
Python
import pandas as pd
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from light.light_base import base_light_features
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light_data = pd.read_csv(snakemake.input[0], parse_dates=["local_date_time", "local_date"])
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day_segment = snakemake.params["day_segment"]
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metrics = snakemake.params["metrics"]
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light_features = pd.DataFrame(columns=["local_date"])
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light_features = light_features.merge(base_light_features(light_data, day_segment, metrics), on="local_date", how="outer")
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assert len(metrics) + 1 == light_features.shape[1], "The number of features in the output dataframe (=" + str(light_features.shape[1]) + ") does not match the expected value (=" + str(len(metrics)) + " + 1). Verify your light feature extraction functions"
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light_features.to_csv(snakemake.output[0], index=False) |