# exit()
#Read data dataframe
data_df.columns = [column[13:-1] for column in data_df.columns.values]
#Make a list of elapsed time
elapsed_time = []
for t in data_df['Time']:
timestamp = t.split(' ')[-1]
hh,mm,ss = timestamp.split(':')
timestamp = 3600*int(hh)+60*int(mm)+int(ss)-int(ignition)
elapsed_time.append(timestamp)
#Set index as elapsed time
data_df['Elapsed Time'] = elapsed_time
data_df = data_df.set_index('Elapsed Time')
#Divide data datafrane into
pre_exp_data = data_df.loc[:-1,:]
exp_data = data_df.loc[0:,:]
test_df = pd.DataFrame(data={'Elapsed Time':data_df.index.values,'Time':data_df['Time']})
test_df = test_df.set_index('Elapsed Time')
for channel in channels.index.values:
#If channel not in df, continue
if not channel in data_df.columns:
continue
print(channel)
events_dict[test] = events_df
# exit()
#Read data dataframe
data_df.columns = [column[13:-1] for column in data_df.columns.values]
#Make a list of elapsed time
elapsed_time = []
for t in data_df['Time']:
timestamp = t.split(' ')[-1]
hh, mm, ss = timestamp.split(':')
timestamp = 3600 * int(hh) + 60 * int(mm) + int(ss) - int(ignition)
elapsed_time.append(timestamp)
#Set index as elapsed time
data_df['Elapsed Time'] = elapsed_time
data_df = data_df.set_index('Elapsed Time')
#Divide data datafrane into
pre_exp_data = data_df.loc[:-1, :]
exp_data = data_df.loc[0:, :]
test_df = pd.DataFrame(data={
'Elapsed Time': data_df.index.values,
'Time': data_df['Time']
})
test_df = test_df.set_index('Elapsed Time')
for channel in channels.index.values:
#If channel not in df, continue
if not channel in data_df.columns:
continue
