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moved plot into trellis_data function #348

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merged 2 commits into from
Sep 13, 2023
Merged

moved plot into trellis_data function #348

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415510e
moved plot into trellis_data function
CB-quakemodel Sep 13, 2023
19cf6cd
moved plot into trellis_data function
CB-quakemodel Sep 13, 2023
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11 changes: 6 additions & 5 deletions openquake/smt/comparison/utils_compare_gmpes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -85,9 +85,6 @@ def plot_trellis_util(
std = std[0][0]
plus_sigma = np.exp(mean+Nstd*std[0])
minus_sigma = np.exp(mean-Nstd*std[0])
if 'plot_lt_only' not in str(gmpe): # If not plotting lt only
pyplot.plot(r_vals, np.exp(mean), color = col, linewidth=2,
linestyle='-', label=gmpe)

# Plot and get lt weighted predictions
lt_vals_gmc1, lt_vals_gmc2 = trellis_data(
Expand Down Expand Up @@ -382,7 +379,7 @@ def plot_euclidean_util(imt_list, gmpe_list, mtxs, namefig, mtxs_type):
ax.yaxis.set_ticklabels(gmpe_list)

# Remove final plot if not required
if len(imt_list) > 3 and len(imt_list)/2 != int(len(imt_list)/2):
if len(imt_list) >= 3 and len(imt_list)/2 != int(len(imt_list)/2):
ax = axs2[np.unravel_index(n+1, (nrows, ncols))]
ax.set_visible(False)

Expand Down Expand Up @@ -526,7 +523,7 @@ def plot_cluster_util(imt_list, gmpe_list, mtxs, namefig, mtxs_type):
ax.set_title(str(i) + ' (16th percentile)', fontsize='12')

# Remove final plot if not required
if len(imt_list) > 3 and len(imt_list)/2 != int(len(imt_list)/2):
if len(imt_list) >= 3 and len(imt_list)/2 != int(len(imt_list)/2):
ax = axs[np.unravel_index(n+1, (nrows, ncols))]
ax.set_visible(False)
if len(imt_list) == 1:
Expand Down Expand Up @@ -575,6 +572,10 @@ def trellis_data(Nstd, gmpe, r_vals, mean, plus_sigma, minus_sigma, col, i, m,
Plot predictions of a single GMPE (if required) and compute weighted
predictions from logic tree(s) (again if required)
"""
if 'plot_lt_only' not in str(gmpe): # If not plotting lt only
pyplot.plot(r_vals, np.exp(mean), color = col, linewidth=2,
linestyle='-', label=gmpe)

if not Nstd == 0: # If sigma is sampled from
if 'plot_lt_only' not in str(gmpe): # If only plotting individual GMPEs
pyplot.plot(r_vals, plus_sigma, linewidth=0.75,
Expand Down
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