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stress_at_work_analysis
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Detect stressful events and rename their stressfulness.

communication
junos 2021-07-27 18:30:05 +02:00
parent 3c12a6e74a
commit 763b970a42
1 changed files with 21 additions and 1 deletions
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22
features/esm_SAM.py
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@ -36,8 +36,17 @@ def extract_stressful_events(df_esm: pd.DataFrame) -> pd.DataFrame:
df_esm_event_threat_challenge_mean_wide = calculate_threat_challenge_means( df_esm_event_threat_challenge_mean_wide = calculate_threat_challenge_means(
df_esm_sam_clean df_esm_sam_clean
) )
# 2.
df_esm_event_stress = detect_stressful_event(df_esm_sam_clean)
return df_esm_event_threat_challenge_mean_wide # Join all the features related to the events.
df_esm_events = df_esm_event_threat_challenge_mean_wide.join(
df_esm_event_stress[
GROUP_QUESTIONNAIRES_BY + ["event_present", "event_stressfulness"]
].set_index(GROUP_QUESTIONNAIRES_BY)
)
return df_esm_events
def calculate_threat_challenge_means(df_esm_sam_clean: pd.DataFrame) -> pd.DataFrame: def calculate_threat_challenge_means(df_esm_sam_clean: pd.DataFrame) -> pd.DataFrame:
@ -78,3 +87,14 @@ def calculate_threat_challenge_means(df_esm_sam_clean: pd.DataFrame) -> pd.DataF
values=["esm_numeric_mean"], values=["esm_numeric_mean"],
) )
return df_esm_event_threat_challenge_mean_wide return df_esm_event_threat_challenge_mean_wide
def detect_stressful_event(df_esm_sam_clean: pd.DataFrame) -> pd.DataFrame:
df_esm_event_stress = df_esm_sam_clean[
df_esm_sam_clean["questionnaire_id"] == QUESTIONNAIRE_ID_SAM.get("event_stress")
]
df_esm_event_stress = df_esm_event_stress.assign(
event_present=lambda x: x.esm_user_answer_numeric > 0,
event_stressfulness=lambda x: x.esm_user_answer_numeric,
)
return df_esm_event_stress