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HEATMAP_DAYS_BY_SENSORS: shows all dates when EXPECTED_NUM_OF_DAYS = -1

pull/95/head
Meng Li 2020-07-26 20:37:24 -04:00
parent af6678c70c
commit 84d4ea9258
1 changed files with 9 additions and 1 deletions
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10
src/visualization/heatmap_days_by_sensors.py
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@ -34,12 +34,20 @@ row_count_sensors = row_count_sensors.join(phone_valid_sensed_days[["valid_sense
# set date_idx based on the first date
reference_date = row_count_sensors.index.min()
last_date = row_count_sensors.index.max()
row_count_sensors["date_idx"] = (row_count_sensors.index - reference_date).days
row_count_sensors["local_date"] = row_count_sensors.index
row_count_sensors.set_index(["local_date", "date_idx"], inplace=True)
expected_num_of_days = int(snakemake.params["expected_num_of_days"])
if expected_num_of_days < -1:
raise ValueError("EXPECTED_NUM_OF_DAYS of HEATMAP_DAYS_BY_SENSORS section in config.yaml must be larger or equal to -1.")
# if expected_num_of_days = -1, return all dates
expected_num_of_days = (last_date - reference_date).days if expected_num_of_days == -1 else expected_num_of_days
# add empty rows to make sure different participants have the same date_idx range
date_idx_range = [idx for idx in range(int(snakemake.params["expected_num_of_days"]))]
date_idx_range = [idx for idx in range(expected_num_of_days)]
date_range = [reference_date + timedelta(days=idx) for idx in date_idx_range]
all_dates = pd.DataFrame({"local_date": date_range, "date_idx": date_idx_range})
all_dates.set_index(["local_date", "date_idx"], inplace=True)