import pandas as pd
import seaborn as sns
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/p031/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" 

df = pd.read_csv(path)
print(df)
is_NaN = df.isnull()
df = df[df["empatica_electrodermal_activity_cr_numPeaks"]]
print(df)


# row_has_NaN = is_NaN. any(axis=1)
# 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')