Split optimization and plotting

src/oemof/tabular/examples/scripting/dispatch.py

@@ -1,7 +1,6 @@
 import os
 import pkg_resources as pkg
 import pandas as pd
-import plotly.offline as offline
 
 from oemof.solph import EnergySystem, Model, Bus
 import oemof.tabular.tools.postprocessing as pp
@@ -85,27 +84,4 @@
 # writing results with the standard oemof-tabular output formatt
 pp.write_results(m, results_path)
 
-
-if False:
-    from oemof.tabular.tools.plots import hourly_plot, stacked_plot
-    # plot results with plotly
-    offline.plot(
-        hourly_plot(
-            'dispatch',
-            'DE',
-            os.path.join(
-                os.path.expanduser('~'),
-                "oemof-results")
-            ),
-        filename=os.path.join(results_path, 'hourly-plot.html'))
-
-
-    # plot results with plotly
-    offline.plot(
-        stacked_plot(
-            'dispatch',
-            os.path.join(
-                os.path.expanduser('~'),
-                "oemof-results")
-            ),
-        filename=os.path.join(results_path, 'stacked-plot.html'))
+print('Optimization done. Results are in {}.'.format(results_path))

src/oemof/tabular/examples/scripting/plotting.py

@@ -0,0 +1,36 @@
+import os
+
+import plotly.offline as offline
+
+from oemof.tabular.tools.plots import hourly_plot, stacked_plot
+# plot results with plotly
+
+name = "dispatch"
+
+# results path for output
+results_path = os.path.join(
+    os.path.expanduser('~'),
+    "oemof-results",
+    name,
+    "output")
+
+offline.plot(
+    hourly_plot(
+        name,
+        'DE',
+        os.path.join(
+            os.path.expanduser('~'),
+            "oemof-results")
+        ),
+    filename=os.path.join(results_path, 'hourly-plot.html'))
+
+
+# plot results with plotly
+offline.plot(
+    stacked_plot(
+        name,
+        os.path.join(
+            os.path.expanduser('~'),
+            "oemof-results")
+        ),
+    filename=os.path.join(results_path, 'stacked-plot.html'))