Export SAM data.
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@ -12,6 +12,7 @@ __pycache__/
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/data/*input*.csv
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/data/daily*
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/data/intradaily*
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/data/raw
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/data/stressfulness_event*
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/data/30min*
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/presentation/*scores.csv
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@ -33,6 +33,7 @@ from features.esm_SAM import extract_stressful_events
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# %%
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save_figs = False
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export_data = True
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# %%
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participants_inactive_usernames = participants.query_db.get_usernames(
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@ -278,6 +279,41 @@ df_esm_SAM_threat_challenge_summary_participant.groupby("event subscale").descri
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"std"
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]
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# %%
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df_esm_SAM_clean.columns
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# %%
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df_esm_SAM_clean.esm_status.value_counts()
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# %%
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if export_data:
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df_esm_SAM_for_export = df_esm_SAM_clean[
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[
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"participant_id",
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"username",
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"device_id",
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"_id",
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"esm_trigger",
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"esm_session",
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"esm_notification_id",
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"question_id",
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"questionnaire_id",
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"double_esm_user_answer_timestamp",
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"datetime_lj",
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"date_lj",
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"time",
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"esm_user_answer",
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"esm_user_answer_numeric",
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]
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]
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df_esm_SAM_for_export.sort_values(
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by=["participant_id", "datetime_lj", "_id"], ignore_index=True, inplace=True
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)
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print(df_esm_SAM_for_export.head())
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df_esm_SAM_for_export.to_csv(
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"../data/raw/df_esm_SAM_daily_threat_challenge.csv", index=False
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)
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# %% [markdown]
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# ## Stressfulness of period
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