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stress_at_work_analysis
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Fix formatting.

communication
junos 2021-07-27 20:57:21 +02:00
parent b99136a181
commit 1bdb334c42
1 changed files with 17 additions and 6 deletions
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21
features/esm_SAM.py
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@ -104,14 +104,25 @@ def calculate_threat_challenge_means(df_esm_sam_clean: pd.DataFrame) -> pd.DataF
)
]
# Calculate mean of threat and challenge subscales for each ESM session.
df_esm_event_threat_challenge_mean_wide = pd.pivot_table(df_esm_event_threat_challenge, index=["participant_id","device_id", "esm_session"], columns=["questionnaire_id"], values=["esm_user_answer_numeric"], aggfunc="mean")
df_esm_event_threat_challenge_mean_wide = pd.pivot_table(
df_esm_event_threat_challenge,
index=["participant_id", "device_id", "esm_session"],
columns=["questionnaire_id"],
values=["esm_user_answer_numeric"],
aggfunc="mean",
)
# Drop unnecessary column values.
df_esm_event_threat_challenge_mean_wide.columns = df_esm_event_threat_challenge_mean_wide.columns.get_level_values(1)
df_esm_event_threat_challenge_mean_wide.columns = df_esm_event_threat_challenge_mean_wide.columns.get_level_values(
1
)
df_esm_event_threat_challenge_mean_wide.columns.name = None
df_esm_event_threat_challenge_mean_wide.rename(columns={
df_esm_event_threat_challenge_mean_wide.rename(
columns={
QUESTIONNAIRE_ID_SAM.get("event_threat"): "threat_mean",
QUESTIONNAIRE_ID_SAM.get("event_challenge"): "challenge_mean"
}, inplace=True)
QUESTIONNAIRE_ID_SAM.get("event_challenge"): "challenge_mean",
},
inplace=True,
)
return df_esm_event_threat_challenge_mean_wide