junos
/
rapids
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Debugging eda_explorer

sociality-task
Primoz 2022-06-16 11:32:59 +00:00
parent dda4554d46
commit a8cd16f88c
4 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
config.yaml
View File

@ -3,7 +3,7 @@
########################################################################################################################
# See https://www.rapids.science/latest/setup/configuration/#participant-files
PIDS: [p01] #p01, p02, p03]
PIDS: [p02] #p01, p02, p03]
# See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files
CREATE_PARTICIPANT_FILES:

BIN
eda_windows_p01_window_60_thresh_default.png 100644
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 122 KiB

BIN
eda_windows_p02_window_60_thresh_default.png 100644
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 126 KiB

4
tests/scripts/missing_values_heatmap.py
View File

@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
# path = "/rapids/data/processed/features/all_participants/all_sensor_features.csv" # all features all participants
# path = "/rapids/data/interim/p03/empatica_accelerometer_features/empatica_accelerometer_python_cr_windows.csv"
path = "/rapids/data/interim/p03/empatica_electrodermal_activity_features/empatica_electrodermal_activity_python_cr_windows.csv"
path = "/rapids/data/interim/p02/empatica_electrodermal_activity_features/empatica_electrodermal_activity_python_cr_windows.csv"
# path = "/rapids/data/interim/p02/empatica_inter_beat_interval_features/empatica_inter_beat_interval_python_cr_windows.csv"
# path = "/rapids/data/interim/p02/empatica_blood_volume_pulse_features/empatica_blood_volume_pulse_python_cr_windows.csv"
# path = "/rapids/data/interim/p02/empatica_temperature_features/empatica_temperature_python_cr_windows.csv"
@ -18,6 +18,6 @@ rows_with_NaN = df[row_has_NaN]
print(rows_with_NaN.size)
sns.heatmap(df.isna(), cbar=False)
plt.savefig('eda_windows_p03_window_60_thresh_default.png', bbox_inches='tight')
plt.savefig('eda_windows_p02_window_60_thresh_default.png', bbox_inches='tight')