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Fix the bug of step intraday features when INCLUDE_ZERO_STEP_ROWS is False

pull/167/head
Meng Li 2021-08-11 12:40:40 -04:00
parent 1520a1e755
commit 3ac12e7dad
1 changed files with 6 additions and 10 deletions
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16
src/features/fitbit_steps_intraday/rapids/main.py
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@ -87,6 +87,12 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
intraday_features_to_compute = intraday_features_to_compute_steps + intraday_features_to_compute_sedentarybout + intraday_features_to_compute_activebout intraday_features_to_compute = intraday_features_to_compute_steps + intraday_features_to_compute_sedentarybout + intraday_features_to_compute_activebout
# exclude rows when the total step count is ZERO during the whole day
if (not steps_intraday_data.empty) and (not include_zero_step_rows):
dailycountstep = steps_intraday_data.groupby(["local_date"])[["steps"]].sum()
zerocountdates = dailycountstep[dailycountstep["steps"] == 0].index.tolist()
steps_intraday_data = steps_intraday_data[~steps_intraday_data["local_date"].isin(zerocountdates)]
# extract features from intraday features # extract features from intraday features
steps_intraday_features = pd.DataFrame(columns=["local_segment"] + intraday_features_to_compute) steps_intraday_features = pd.DataFrame(columns=["local_segment"] + intraday_features_to_compute)
if not steps_intraday_data.empty: if not steps_intraday_data.empty:
@ -94,15 +100,5 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
if not steps_intraday_data.empty: if not steps_intraday_data.empty:
steps_intraday_features = extractStepsFeaturesFromIntradayData(steps_intraday_data, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features) steps_intraday_features = extractStepsFeaturesFromIntradayData(steps_intraday_data, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features)
# exclude rows when the total step count is ZERO during the whole day
if not include_zero_step_rows:
steps_intraday_features.index = steps_intraday_features["local_segment"].apply(lambda segment: segment.split("#")[1][:10])
steps_intraday_features["dailycountstep"] = steps_intraday_data.groupby(["local_date"])["steps"].sum()
steps_intraday_features = steps_intraday_features.query("dailycountstep != 0")
del steps_intraday_features["dailycountstep"]
steps_intraday_features.reset_index(drop=True, inplace=True)
return steps_intraday_features return steps_intraday_features