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Offp2h_PAIRSPLOT.py

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+
+import numpy as np
+import matplotlib.pyplot as plt
+
+from ema_workbench import load_results, ema_logging
+
+from ema_workbench.analysis.pairs_plotting import (pairs_lines, pairs_scatter,
+                                                   pairs_density)
+
+ema_logging.log_to_stderr(level=ema_logging.DEFAULT_LEVEL)
+
+# load data
+fn = r'./data/windhydrogen100.tar.gz'
+experiments, outcomes = load_results(fn)
+
+# transform the results to the required format
+# that is, we want to know the max peak and the casualties at the end of the
+# run
+tr = {}
+
+for key, value in outcomes.items():
+    if key == 'Cumulative hydrogen production':
+        tr[key] = value[:, -1]  # we want the end value
+    else:
+        # we want the maximum value of the peak
+        max_peak = np.max(value, axis=1)
+        tr['max peak'] = max_peak
+
+        # we want the time at which the maximum occurred
+        # the code here is a bit obscure, I don't know why the transpose
+        # of value is needed. This however does produce the appropriate results
+        logical = value.T == np.max(value, axis=1)
+
+pairs_scatter(experiments, tr, filter_scalar=False)
+pairs_lines(experiments, outcomes)
+pairs_density(experiments, tr, filter_scalar=False)
+plt.show()