|
6 | 6 | axis_font = {'fontname':'Arial', 'size':'8', 'family':'serif'} |
7 | 7 | fs = 8 |
8 | 8 |
|
9 | | -setup = 'HEAT' |
10 | | -#setup = 'ADVECTION' |
| 9 | +# setup = 'HEAT' |
| 10 | +setup = 'ADVECTION' |
11 | 11 | fields = [(setup+'_results_hf_SPREAD.npz','SPREAD'), |
12 | 12 | (setup+'_results_hf_INTERP.npz','INTERP'), |
13 | 13 | (setup+'_results_hf_INTERP_PREDICT.npz','INTERP_PREDICT'), |
|
21 | 21 |
|
22 | 22 | data = infile['iter_count'].T |
23 | 23 |
|
24 | | - # data = data-data[0,0] |
| 24 | + data = data-data[0,0] |
25 | 25 |
|
26 | 26 | ft_iter = infile['ft_iter'] |
27 | 27 | ft_step = infile['ft_step'] |
|
37 | 37 |
|
38 | 38 | data = infile['iter_count'].T |
39 | 39 |
|
40 | | - # data = data-data[0,0] |
| 40 | + data = data-data[0,0] |
41 | 41 |
|
42 | 42 | ft_iter = infile['ft_iter'] |
43 | 43 | ft_step = infile['ft_step'] |
|
51 | 51 |
|
52 | 52 | plt.axis([ft_step[0],ft_step[-1]+1,ft_iter[0]-1,ft_iter[-1]]) |
53 | 53 |
|
54 | | - ticks = np.arange(int(vmin), int(vmax+1) , 2) |
| 54 | + ticks = np.arange(int(vmin)+1, int(vmax)+2 , 2) |
55 | 55 | tickpos = np.linspace(ticks[0]+0.5, ticks[-1]-0.5, len(ticks)) |
56 | 56 | cax = plt.colorbar(pcol, ticks=tickpos, format='%2i') |
57 | 57 |
|
58 | 58 | plt.tick_params(axis='both', which='major', labelsize=fs) |
59 | 59 |
|
60 | 60 | cax.set_ticklabels(ticks) |
61 | | - cax.set_label('number of iterations', **axis_font) |
| 61 | + cax.set_label('$K_\mathrm{add}$', **axis_font) |
62 | 62 | cax.ax.tick_params(labelsize=fs) |
63 | 63 |
|
64 | 64 | ax.set_xlabel('affected step', labelpad=1, **axis_font) |
65 | | - ax.set_ylabel('affected iteration', labelpad=1, **axis_font) |
| 65 | + ax.set_ylabel('affected iteration ($K_\mathrm{fail}$)', labelpad=1, **axis_font) |
66 | 66 |
|
67 | 67 | ax.set_xticks(np.arange(len(ft_step))+0.5, minor=False) |
68 | 68 | ax.set_xticklabels(ft_step, minor=False) |
|
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