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finish-pairsscatter_gas_vensim_NO_policy.py

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+import matplotlib.pyplot as plt
+
+from ema_workbench import ema_logging, load_results
+from ema_workbench.analysis import Density
+from ema_workbench.analysis.pairs_plotting import (pairs_scatter)
+
+from ema_workbench.analysis.pairs_plotting import (pairs_lines, pairs_scatter,
+                                                   pairs_density)
+
+ema_logging.log_to_stderr(ema_logging.INFO)
+
+file_name = r'./data/windhydrogen.tar.gz'
+experiments, outcomes = load_results(file_name)
+
+# the plotting functions return the figure and a dict of axes
+fig, axes =  pairs_lines(experiments,
+                  outcomes, density=Density.VIOLIN)
+fig.set_figheight(6)
+fig.set_figwidth(12)
+
+plt.show()
+
+# import seaborn as sns
+#
+# ema_logging.log_to_stderr(ema_logging.INFO)
+#
+# file_name = r'./data/100 gas cases no policy.tar.gz'
+# experiments, outcomes = load_results(file_name)
+#
+# df = pd.DataFrame.from_dict(outcomes)
+# df = df.assign(policy=experiments['policy'])
+#
+# # rename the policies using numbers
+# df['policy'] = df['policy'].map({p: i for i, p in
+#                                  enumerate(set(experiments['policy']))})
+#
+# # use seaborn to plot the dataframe
+# grid = sns.pairplot(df, hue='policy', vars=outcomes.keys())
+# ax = plt.gca()
+# plt.show()