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added css files for cohort and individual panels

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This commit is contained in:
Carla Floricel
2022-08-03 15:59:44 -04:00
parent dac4e30a42
commit d5662113b6
928 changed files with 1102 additions and 576 deletions
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50
dashboard/flask-server/process_input_data.py
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@@ -41,6 +41,7 @@ def read_rawFacialDf(ar, id):
facial_asym_filename = ar + "/raw_variables/"+id+"/facial/face_asymmetry/"+id+"_facasym.csv"
facial_au_filename = ar + "/raw_variables/"+id+"/facial/face_au/"+id+"_facau.csv"
facial_expr_filename = ar + "/raw_variables/"+id+"/facial/face_expressivity/"+id+"_facemo.csv"
landmark_filename = ar + "/raw_variables/"+id+"/facial/face_landmark/"+id+"_faclmk.csv"
if not exists(facial_asym_filename) or not exists(facial_au_filename) or not exists(facial_expr_filename):
return pd.DataFrame()
@@ -51,7 +52,6 @@ def read_rawFacialDf(ar, id):
facial_au = pd.read_csv(facial_au_filename)
facial_au_cols = [col for col in facial_au if col not in skip_cols]
facial_expr = pd.read_csv(facial_expr_filename)
facial_expr_cols = [col for col in facial_expr if col not in skip_cols and "AU" not in col]
@@ -70,6 +70,10 @@ def read_rawMovementDf(ar, id):
gaze_filename = ar + "/raw_variables/"+id+"/movement/gaze/"+id+"_eyegaze.csv"
head_movement_filename = ar + "/raw_variables/"+id+"/movement/head_movement/"+id+"_headmov.csv"
head_pose_filename = ar + "/raw_variables/"+id+"/movement/head_pose/"+id+"_headpose.csv"
blinks_filename = ar + "/raw_variables/"+id+"/movement/eye_blink/"+id+"_eyeblinks.csv"
fac_tremor_filename = ar + "/raw_variables/"+id+"/movement/facial_tremor/"+id+"_fac_tremor.csv"
voice_tremor_filename = ar + "/raw_variables/"+id+"/movement/voice_tremor/"+id+"_vtremor.csv"
if not exists(gaze_filename) or not exists(head_movement_filename) or not exists(head_pose_filename):
return pd.DataFrame()
@@ -81,6 +85,16 @@ def read_rawMovementDf(ar, id):
head_movement_cols = [col for col in head_movement if col not in skip_cols]
# blinks = pd.read_csv(blinks_filename)
# blinks_cols = [col for col in blinks if col not in skip_cols]
# fac_tremor = pd.read_csv(fac_tremor_filename)
# fac_tremor_cols = [col for col in fac_tremor if col not in skip_cols]
voice_tremor = pd.read_csv(voice_tremor_filename)
voice_tremor_cols = [col for col in voice_tremor if col not in skip_cols]
head_pose = pd.read_csv(head_pose_filename)
head_pose_cols = [col for col in head_pose if col not in skip_cols]
@@ -89,8 +103,12 @@ def read_rawMovementDf(ar, id):
movement_df[el] = head_movement[el]
for el in gaze_cols:
movement_df[el] = gaze[el]
# for el in blinks_cols:
# movement_df[el] = blinks[el]
# for el in fac_tremor_cols:
# movement_df[el] = fac_tremor[el]
for el in voice_tremor_cols:
movement_df[el] = voice_tremor[el]
return movement_df.fillna(0)
@@ -104,6 +122,12 @@ def read_rawAcousticDf(ar, id):
intt_filename = ar + "/raw_variables/"+id+"/acoustic/intensity/"+id+"_intensity.csv"
mfcc_filename = ar + "/raw_variables/"+id+"/acoustic/mfcc/"+id+"_mfcc.csv"
pitch_filename = ar + "/raw_variables/"+id+"/acoustic/pitch/"+id+"_pitch.csv"
jitter_filename = ar + "/raw_variables/"+id+"/acoustic/jitter/"+id+"_jitter.csv"
pause_segment_filename = ar + "/raw_variables/"+id+"/acoustic/pause_segment/"+id+"_pausechar.csv"
shimmer_filename = ar + "/raw_variables/"+id+"/acoustic/shimmer/"+id+"_shimmer.csv"
voice_frame_score_filename = ar + "/raw_variables/"+id+"/acoustic/voice_frame_score/"+id+"_voiceprev.csv"
filename_list = [fm_filename, gne_filename, hnr_filename, intt_filename,mfcc_filename, pitch_filename, pause_segment_filename, shimmer_filename, voice_frame_score_filename]
if not exists(fm_filename) or not exists(gne_filename) or not exists(hnr_filename) or not exists(intt_filename) or not exists(mfcc_filename) or not exists(pitch_filename):
return pd.DataFrame
@@ -129,6 +153,18 @@ def read_rawAcousticDf(ar, id):
pitch = pd.read_csv(pitch_filename)
pitch_cols = [col for col in pitch if col not in skip_cols]
pause_segment = pd.read_csv(pause_segment_filename)
pause_segment_cols = [col for col in pause_segment if col not in skip_cols]
jitter = pd.read_csv(jitter_filename)
jitter_cols = [col for col in jitter if col not in skip_cols]
shimmer = pd.read_csv(shimmer_filename)
shimmer_cols = [col for col in shimmer if col not in skip_cols]
voice_frame_score = pd.read_csv(voice_frame_score_filename)
voice_frame_score_cols = [col for col in voice_frame_score if col not in skip_cols]
acoustic_df = fm.loc[:, ~fm.columns.isin(skip_cols)].copy()
for el in gne_cols:
acoustic_df[el] = gne[el]
@@ -140,6 +176,14 @@ def read_rawAcousticDf(ar, id):
acoustic_df[el] = mfcc[el]
for el in pitch_cols:
acoustic_df[el] = pitch[el]
for el in pause_segment_cols:
acoustic_df[el] = pause_segment[el]
for el in jitter_cols:
acoustic_df[el] = jitter[el]
for el in shimmer_cols:
acoustic_df[el] = shimmer[el]
for el in voice_frame_score_cols:
acoustic_df[el] = voice_frame_score[el]
return acoustic_df.fillna(0)