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stress_at_work_analysis
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Prepare data for export to CSV.

rapids
junos 2021-12-01 16:48:17 +01:00
parent cf3801b120
commit 0e6a18a660
1 changed files with 25 additions and 0 deletions
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25
participants/prepare_usernames_file.py
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@ -1,5 +1,6 @@
import datetime import datetime
import pandas as pd import pandas as pd
from pyprojroot import here
import participants.query_db import participants.query_db
@ -25,3 +26,27 @@ participants_true_si = participants_overview_si[
participants_true_be = participants_overview_be[ participants_true_be = participants_overview_be[
participants_overview_be["SmartphoneBrand+Generation"].str.slice(0, 3) != "Not" participants_overview_be["SmartphoneBrand+Generation"].str.slice(0, 3) != "Not"
] ]
# Concatenate participants from both countries.
participants_usernames_empatica = pd.concat(
[participants_true_be, participants_true_si]
)
# Filter only the participants from the main study (queried from the database).
participants_usernames_empatica = participants_usernames_empatica[
participants_usernames_empatica["Username"].isin(participants_inactive_usernames)
]
# Rename and select columns.
participants_usernames_empatica = participants_usernames_empatica.rename(
columns={"Username": "label", "Wristband_SerialNo": "empatica_id"}
)[["label", "empatica_id"]]
# Adapt for csv export.
participants_usernames_empatica["empatica_id"] = participants_usernames_empatica[
"empatica_id"
].str.replace(",", ";")
participants_usernames_empatica.to_csv(
here("rapids/data/external/main_study_participants.csv"),
header=True,
index=False,
line_terminator="\n",
)