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stress_at_work_analysis
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Document the preprocess_esm function.

communication
junos 2021-06-07 16:50:27 +02:00
parent 35a7fa0bbc
commit 224dedaced
1 changed files with 13 additions and 0 deletions
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13
features/esm.py
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@ -35,6 +35,19 @@ def get_esm_data(usernames: Collection) -> pd.DataFrame:
def preprocess_esm(df_esm: pd.DataFrame) -> pd.DataFrame: def preprocess_esm(df_esm: pd.DataFrame) -> pd.DataFrame:
"""
Convert timestamps into human-readable datetimes and expand the JSON column into several Pandas DF columns.
Parameters
----------
df_esm: pd.DataFrame
A dataframe of esm data.
Returns
-------
df_esm_preprocessed: pd.DataFrame
A dataframe with added columns: datetime in Ljubljana timezone and all fields from ESM_JSON column.
"""
df_esm["datetime_lj"] = df_esm["double_esm_user_answer_timestamp"].apply( df_esm["datetime_lj"] = df_esm["double_esm_user_answer_timestamp"].apply(
lambda x: datetime.datetime.fromtimestamp(x / 1000.0, tz=TZ_LJ) lambda x: datetime.datetime.fromtimestamp(x / 1000.0, tz=TZ_LJ)
) )