13 lines
782 B
Python
13 lines
782 B
Python
import pandas as pd
|
|
from light.light_base import base_light_features
|
|
|
|
light_data = pd.read_csv(snakemake.input[0], parse_dates=["local_date_time", "local_date"])
|
|
day_segment = snakemake.params["day_segment"]
|
|
requested_features = snakemake.params["features"]
|
|
light_features = pd.DataFrame(columns=["local_date"])
|
|
|
|
light_features = light_features.merge(base_light_features(light_data, day_segment, requested_features), on="local_date", how="outer")
|
|
|
|
assert len(requested_features) + 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(requested_features)) + " + 1). Verify your light feature extraction functions"
|
|
|
|
light_features.to_csv(snakemake.output[0], index=False) |