diff options
Diffstat (limited to 'golemflavor/plot.py')
| -rw-r--r-- | golemflavor/plot.py | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/golemflavor/plot.py b/golemflavor/plot.py index 2fc3210..caaed47 100644 --- a/golemflavor/plot.py +++ b/golemflavor/plot.py @@ -157,10 +157,10 @@ def get_limit(scales, statistic, args, mask_initial=False, return_interp=False): min_idx = np.argmin(scales) null = statistic[min_idx] # if np.abs(statistic_rm[0] - null) > 0.8: - # print 'Warning, null incompatible with smallest scanned scale! For ' \ + # print('Warning, null incompatible with smallest scanned scale! For ' \ # 'DIM {0} [{1}, {2}, {3}]!'.format( # args.dimension, *args.source_ratio - # ) + # )) # null = statistic_rm[0] if args.stat_method is StatCateg.BAYESIAN: reduced_ev = -(statistic_rm - null) @@ -175,16 +175,16 @@ def get_limit(scales, statistic, args, mask_initial=False, return_interp=False): return None re = -(statistic-null)[scales > al[0]] if np.sum(re < np.log(10**(BAYES_K)) - 0.1) >= 2: - print 'Warning, peaked contour does not exclude large scales! For ' \ + print('Warning, peaked contour does not exclude large scales! For ' \ 'DIM {0} [{1}, {2}, {3}]!'.format( args.dimension, *args.source_ratio - ) + )) return None if np.sum(re >= np.log(10**(BAYES_K)) + 0.0) < 2: - print 'Warning, only single point above threshold! For ' \ + print('Warning, only single point above threshold! For ' \ 'DIM {0} [{1}, {2}, {3}]!'.format( args.dimension, *args.source_ratio - ) + )) return None if return_interp: @@ -193,7 +193,7 @@ def get_limit(scales, statistic, args, mask_initial=False, return_interp=False): # Divide by 2 to convert to standard SME coefficient lim = al[0] - np.log10(2.) # lim = al[0] - print 'limit = {0}'.format(lim) + print('limit = {0}'.format(lim)) return lim @@ -323,7 +323,7 @@ def alpha_shape(points, alpha): area = np.sqrt(s*(s-a)*(s-b)*(s-c)) circum_r = a*b*c/(4.0*area) # Here's the radius filter. - #print circum_r + #print(circum_r) if circum_r < 1.0/alpha: add_edge(edges, edge_points, coords, ia, ib) add_edge(edges, edge_points, coords, ib, ic) @@ -562,9 +562,9 @@ def plot_statistic(data, outfile, outformat, args, scale_param, label=None): fig_text = gen_figtext(args) if label is not None: fig_text += '\n' + label - print 'data', data - print 'data.shape', data.shape - print 'outfile', outfile + print('data', data) + print('data.shape', data.shape) + print('outfile', outfile) try: scales, statistic = ma.compress_rows(data).T lim = get_limit(deepcopy(scales), deepcopy(statistic), args, mask_initial=True) @@ -620,7 +620,7 @@ def plot_statistic(data, outfile, outformat, args, scale_param, label=None): def plot_table_sens(data, outfile, outformat, args, show_lvatmo=True): - print 'Making TABLE sensitivity plot' + print('Making TABLE sensitivity plot') argsc = deepcopy(args) dims = args.dimensions @@ -648,7 +648,7 @@ def plot_table_sens(data, outfile, outformat, args, show_lvatmo=True): legend_elements = [] for idim, dim in enumerate(dims): - print '|||| DIM = {0}'.format(dim) + print('|||| DIM = {0}'.format(dim)) argsc.dimension = dim gs0 = gridspec.GridSpecFromSubplotSpec( len(textures), 1, subplot_spec=gs[idim], hspace=0 |