import pandas as pd
df = pd.read_csv('res.csv', header=None)
df.columns = ['dummy', 'op', 'desc', 'test_size', 'time']
df.head()
dummy | op | desc | test_size | time | |
---|---|---|---|---|---|
0 | test_res | op_1 | completely_random | 50 | 9 |
1 | test_res | op_1 | completely_random | 50 | 7 |
2 | test_res | op_1 | completely_random | 50 | 4 |
3 | test_res | op_2 | completely_random | 50 | 7 |
4 | test_res | op_2 | completely_random | 50 | 4 |
df[df.desc == 'completely_random'].groupby([df.test_size.name, df.op.name]).mean().unstack().plot();
title('completely_random');
df[df.desc == 'fixed_100'].groupby([df.test_size.name, df.op.name]).mean().unstack().plot();
title('fixed_100');
df[df.desc == 'hinnant'].groupby([df.test_size.name, df.op.name]).mean().unstack().plot();
title('hinnant');
df[df.desc == 'random_low_eq'].groupby([df.test_size.name, df.op.name]).mean().unstack().plot();
title('random_low_eq');