junos
/
rapids
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Fix HR&Sleep bugs

pull/103/head
Meng Li 2020-11-24 13:43:24 -05:00
parent c25467e7af
commit 767e838c87
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
src/data/fitbit_parse_sleep.py
View File

@ -132,7 +132,7 @@ def parseOneRecordForV12(record, device_id, d_is_main_sleep, records_summary, re
record["minutesAfterWakeup"], record["minutesAsleep"], record["minutesAwake"], record["minutesToFallAsleep"], record["timeInBed"],
d_is_main_sleep, sleep_record_type,
d_start_datetime, d_end_datetime,
0,0)
0)
records_summary.append(row_summary)

6
src/features/fitbit_heartrate_summary/rapids/main.py
View File

@ -29,13 +29,13 @@ def statsFeatures(heartrate_data, features, features_type, heartrate_features):
if "summarymedian" + features_type in features:
heartrate_features["heartrate_rapids_summarymedian" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].median()
if "summarymode" + features_type in features:
heartrate_features["heartrate_rapids_summarymode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: pd.Series.mode(x)[0])
heartrate_features["heartrate_rapids_summarymode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: None if len(pd.Series.mode(x)) == 0 else pd.Series.mode(x)[0])
if "summarystd" + features_type in features:
heartrate_features["heartrate_rapids_summarystd" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].std()
if "summarydiffmaxmode" + features_type in features:
heartrate_features["heartrate_rapids_summarydiffmaxmode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].max() - heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: pd.Series.mode(x)[0])
heartrate_features["heartrate_rapids_summarydiffmaxmode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].max() - heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: None if len(pd.Series.mode(x)) == 0 else pd.Series.mode(x)[0])
if "summarydiffminmode" + features_type in features:
heartrate_features["heartrate_rapids_summarydiffminmode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: pd.Series.mode(x)[0]) - heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].min()
heartrate_features["heartrate_rapids_summarydiffminmode" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(lambda x: None if len(pd.Series.mode(x)) == 0 else pd.Series.mode(x)[0]) - heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].min()
if "summaryentropy" + features_type in features:
heartrate_features["heartrate_rapids_summaryentropy" + features_type] = heartrate_data[["local_segment", col_name]].groupby(["local_segment"])[col_name].agg(entropy)