ms762wu/EMG_Biometrics_2021
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fix: remove bug that caused NaN data

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This commit is contained in:
Skudalen 2021-07-02 09:12:41 +02:00
parent d0978aa2b3
commit 76aeb10ea7
3 changed files with 2 additions and 21 deletions
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20
Handle_emg_data.py
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@ -540,12 +540,6 @@ class DL_data_handler:
tot_session_df_list.append(df) tot_session_df_list.append(df)
tot_session_df = pd.concat(tot_session_df_list, axis=1, ignore_index=True) tot_session_df = pd.concat(tot_session_df_list, axis=1, ignore_index=True)
# TESTING FOR NAN
if tot_session_df.isnull().values.any():
print('NaN in: where? THERE')
print(length_left_emgs, length_right_emgs)
#print(tot_session_df_list)
return tot_session_df return tot_session_df
def store_samples(self, split_nr) -> None: def store_samples(self, split_nr) -> None:
@ -557,22 +551,12 @@ class DL_data_handler:
# TESTING FOR NAN # TESTING FOR NAN
if tot_session_df.isnull().values.any(): if tot_session_df.isnull().values.any():
print('NaN in: subject', subject_nr+1, 'session:', session_nr+1, 'where? AFTER MAKE') print('NaN in: subject', subject_nr+1, 'session:', session_nr+1, 'where? HERE')
samples = np.array_split(tot_session_df.to_numpy(), split_nr) samples = np.array_split(tot_session_df.to_numpy(), split_nr)
for array in samples: for array in samples:
df = DataFrame(array).rename(columns={0:'timestamp'}) df = DataFrame(array).rename(columns={0:'timestamp'})
'''
# TESTING FOR NAN
if df.isnull().values.any():
print('NaN in: subject', subject_nr+1, 'session:', session_nr+1, 'where? AFTER SPLIT')
'''
df_finished, samplerate = self.reshape_session_df_to_signal(df) df_finished, samplerate = self.reshape_session_df_to_signal(df)
'''
# TESTING FOR NAN
if df_finished.isnull().values.any():
print('NaN in: subject', subject_nr+1, 'session:', session_nr+1, 'where? AFTER RESHAPE')
'''
subj_samples.append([df_finished, samplerate]) subj_samples.append([df_finished, samplerate])
self.samples_per_subject[subject_nr+1] = subj_samples self.samples_per_subject[subject_nr+1] = subj_samples
@ -615,4 +599,4 @@ def get_samplerate(df:DataFrame):
seconds = max - min seconds = max - min
samples = len(df.index) samples = len(df.index)
samplerate = samples / seconds samplerate = samples / seconds
return samplerate return int(samplerate)

3
Present_data.py
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@ -234,7 +234,4 @@ def main():
main() main()

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__pycache__/Handle_emg_data.cpython-38.pyc
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