cerebralcortex.markers.mcontain package

Submodules

cerebralcortex.markers.mcontain.assign_covid_user module

assign_covid_user(data, covid_users)[source]
make_CC_object(config_dir='/home/jupyter/cc3_conf/', study_name='mcontain')[source]
save_data(CC, data_result, centroid_present=True, metadata=None)[source]

cerebralcortex.markers.mcontain.daily_encounter_stats module

assign_covid_user(data, covid_users)[source]
drop_centroid_columns(data_result, centroid_present=True)[source]
generate_metadata_dailystats()[source]
generate_metadata_encounter_daily()[source]
generate_metadata_notif()[source]
generate_metadata_notification_daily()[source]
generate_metadata_user_encounter_count()[source]
generate_metadata_visualization_daily()[source]
get_notifications(encounter_final_data_with_gps, day, multiplier=10, column_name='total_encounters', metric_threshold=1)[source]
get_time_columns(encounter_final_data, start_time, end_time, utc_offset)[source]
get_utcoffset()[source]
remove_duplicate_encounters_day(data)[source]

cerebralcortex.markers.mcontain.hourly_encounters module

combine_base_encounters(base_encounters, time_threshold=600)[source]
compute_encounters(data_all_v3, data_all_v4, data_map_stream, data_key_stream, start_time, end_time, ltime=True)[source]
compute_encounters_only_v4(data_all_v4, data_key_stream, start_time, end_time, ltime=True)[source]
drop_centroid_columns(data_result, centroid_present=True)[source]
generate_metadata_encounter()[source]
generate_metadata_hourly()[source]
generate_visualization_hourly(data_all_v3, data_all_v4, data_map_stream, data_key_stream, start_time, end_time, ltime=True)[source]
get_key_stream(data_key_stream, start_time, end_time, datetime_format='%Y-%m-%d %H:%m')[source]
get_utcoffset()[source]
groupby_final(data_key_stream)[source]
match_keys(base_encounters, data_key_stream)[source]
transform_beacon_data_columns(data_all)[source]

Module contents