# 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