Variables | |
| _maxs = np.max(values[4:], axis=1) | |
| _means = np.mean(values[4:], axis=1) | |
| _mins = np.min(values[4:], axis=1) | |
| _sorted | |
| _stddev = np.std(values[4:], axis=1) | |
| bool | avg_time_vs_impl = True |
| axx = plt.gca().twinx() | |
| bins | |
| bottom | |
| cumulative | |
| int | d_id = 2 |
| int | dlb_id = 1 |
| fieldnames = None | |
| filename = sys.argv[1] | |
| fill | |
| fmt | |
| int | iplot = 1 |
| label | |
| linestyle | |
| loc | |
| ls | |
| list | means |
| bool | nb_occ_sep_axis = False |
| list | nb_occurence |
| int | Ncols = 3 |
| int | Nrows = 1 |
| reader = csv.reader(file, strict=True) | |
| rotation | |
| rwidth | |
| list | stddevs |
| bool | subplots = False |
| bool | time_vs_sep_axis = True |
| list | v = values[k + 4][i] |
| list | values = [[] for _ in fieldnames] |
|
private |
| list obb.means |
| list obb.stddevs |
| list obb.values = [[] for _ in fieldnames] |