Export COPE data.

exploration/expl_esm_labels.py

@@ -307,11 +307,11 @@ if export_data:
         ]
     ]
     df_esm_SAM_for_export.sort_values(
-        by=["participant_id", "datetime_lj", "_id"], ignore_index=True, inplace=True
+        by=["participant_id", "device_id", "_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
+        "../data/raw/df_esm_SAM_threat_challenge.csv", index=False
     )
 
 # %% [markdown]
@@ -408,3 +408,33 @@ df_esm_COPE = df_esm_preprocessed[
     (df_esm_preprocessed["questionnaire_id"] >= QUESTIONNAIRE_IDS["COPE_active"])
     & (df_esm_preprocessed["questionnaire_id"] <= QUESTIONNAIRE_IDS["COPE_emotions"])
 ]
+
+# %%
+df_esm_COPE_clean = clean_up_esm(df_esm_COPE)
+
+# %%
+if export_data:
+    df_esm_COPE_for_export = df_esm_COPE_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_COPE_for_export.sort_values(
+        by=["participant_id", "device_id", "_id"], ignore_index=True, inplace=True
+    )
+    print(df_esm_COPE_for_export.head())
+    df_esm_COPE_for_export.to_csv("../data/raw/df_esm_COPE.csv", index=False)