Export SAM data.

.gitignore

@@ -12,6 +12,7 @@ __pycache__/
 /data/*input*.csv
 /data/daily*
 /data/intradaily*
+/data/raw
 /data/stressfulness_event*
 /data/30min*
 /presentation/*scores.csv

exploration/expl_esm_labels.py

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