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- df
- Out[51]:
- Unnamed: 0 TRACK_ID TRACK_DURATION TRACK_DISPLACEMENT
- 0 0 2 0.559 0.066
- 1 28 673 0.559 0.132
- 2 19 465 0.559 0.206
- 3 27 660 0.602 0.187
- 4 21 479 0.602 0.497
- 5 17 440 0.602 0.351
- 6 29 725 0.602 0.059
- 7 10 324 0.602 0.112
- 8 30 782 0.602 0.412
- 9 7 152 0.602 0.308
- 10 2 49 0.602 0.048
- 11 1 14 0.645 0.051
- 12 15 401 0.688 0.391
- 13 11 331 0.731 0.173
- 14 26 608 0.731 0.579
- df = pd.read_csv('/Users/Desktop/SMT analysis codes/Sort.csv')
- df1 = df.set_index(['TRACK_DURATION'])
- sets = df1.loc[0.599, 'TRACK_ID']
- M = sets.values.tolist()
- import pandas as pd
- df = pd.read_csv('/Users/Desktop/SMT analysis codes/Sort.csv')
- df1 = df.set_index(['TRACK_DURATION'])
- sets = df1.loc[0.558:0.559, 'TRACK_ID']
- M = sets.values.tolist()
- import pandas as pd
- import numpy as np
- df = pd.read_csv('/Users/Desktop/SMT analysis codes/Sort.csv')
- M = df[np.isclose(df['TRACK_DURATION'], 0.559)]['TRACK_ID'].tolist()
- >>> M
- [2, 673, 465]
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