cleaned tutorial-6

.gitignore

@@ -7,3 +7,4 @@
 **/__pycache__/
 *.lp
 *.slides.html
+tutorial-6/network_data/

requirements.yml

@@ -3,9 +3,11 @@ channels:
     - conda-forge
     - defaults
 dependencies:
+    - basemap # check: conda install -c anaconda basemap
     - jupyter
     - matplotlib
     - nb_conda
+    - netcdf4
     - numpy
     - pandas
     - python

tutorial-2/solution02.ipynb

@@ -766,9 +766,8 @@
   }
  ],
  "metadata": {
-  "celltoolbar": "Slideshow",
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -782,7 +781,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.4"
   },
   "nav_menu": {},
   "toc": {

tutorial-6/tutorial6utilities.py

@@ -8,6 +8,7 @@ import matplotlib as mpl
 import matplotlib.pyplot as plt
 import matplotlib.lines as mlines
 from sklearn.cluster import KMeans, SpectralClustering
+from mpl_toolkits.basemap import Basemap
 
 
 ### FUNCTIONS
@@ -74,7 +75,7 @@ def plot_network(network,option="AC_DC",basemap="no"):
         violet_line=mlines.Line2D([], [], color='violet',label='DC')
 
         plt.legend(handles=[blue_line,green_line,orange_line,red_line,violet_line])
-        
+
 def find_kmeans_busmap(n_clusters, n, n_weightings, **kwargs):
     kmeans = KMeans(init='k-means++', n_clusters=n_clusters, ** kwargs)
 
@@ -88,7 +89,7 @@ def weighting(network):
     load = (network.loads_t.p_set.mean()
                    .groupby(network.loads.bus).sum()
                    .reindex(network.buses.index, fill_value=0.))
-    
+
     return load
 
 
@@ -129,13 +130,13 @@ def plot_line_loading(network):
     Z = [[0,0],[max(abs(loading)),0]]
     CS3 = plt.contourf(Z,  cmap=plt.cm.jet)
     plt.colorbar(fraction=0.01, pad=0.01)
-    
+
 def plot_bus_status(network):
     fig, ax = plt.subplots()
     ax.set_ylim([35,72])
     fig.set_size_inches(15,15)
 
-    bus_status= pd.DataFrame({'status': network.loads_t.p_set.values[0]*-1, 
+    bus_status= pd.DataFrame({'status': network.loads_t.p_set.values[0]*-1,
                           'pmax':network.loads_t.p_set.values[0]*0,
                           'p':network.loads_t.p_set.values[0]*0,
                           'ponpmax':network.loads_t.p_set.values[0]*0})
@@ -152,9 +153,9 @@ def plot_bus_status(network):
             bus_status.ponpmax.loc[i]=bus_status.p.loc[i]/bus_status.pmax.loc[i]
         except:
             print(i)
-            
+
     bus_color=(bus_status.status/p_nc_25.loads_t.p_set.values[0]).values
-    
+
     #print(loading_dc)
     #print(pd.concat(dict(Line=abs(loading),Link=abs(loading_dc))))
     #network.plot(line_colors=abs(loading),line_cmap=plt.cm.jet,title="Line loading",
@@ -166,7 +167,7 @@ def plot_bus_status(network):
     Z = [[min(bus_color),0],[max(bus_color),0]]
     CS3 = plt.contourf(Z,  cmap=plt.cm.jet)
     plt.colorbar(fraction=0.01, pad=0.01)
-    
+
 def plot_line_loading_bus_status(network):
     fig, ax = plt.subplots()
     ax.set_ylim([35,72])
@@ -177,8 +178,8 @@ def plot_line_loading_bus_status(network):
     loading_dc = network.links_t.p0.loc[network.snapshots[0]]/network.links.p_nom/0.7
     loading_dc=loading_dc.fillna(0)
     loading_dc=loading_dc.append(pd.Series(1))
-    
-    bus_status= pd.DataFrame({'status': network.loads_t.p_set.values[0]*-1, 
+
+    bus_status= pd.DataFrame({'status': network.loads_t.p_set.values[0]*-1,
                           'pmax':network.loads_t.p_set.values[0]*0,
                           'p':network.loads_t.p_set.values[0]*0,
                           'ponpmax':network.loads_t.p_set.values[0]*0})
@@ -194,12 +195,12 @@ def plot_line_loading_bus_status(network):
 
             bus_status.ponpmax.loc[i]=bus_status.p.loc[i]/bus_status.pmax.loc[i]
         except:
-            print(i)
-            
+            print("Error at {}".format(i))
+
     bus_color=(bus_status.status/network.loads_t.p_set.values[0]).values
     bus_color[bus_color>1.5]=1.5
-    
-    
+
+
     #print(loading_dc)
     #print(pd.concat(dict(Line=abs(loading),Link=abs(loading_dc))))
     #network.plot(line_colors=abs(loading),line_cmap=plt.cm.jet,title="Line loading",
@@ -216,4 +217,4 @@ def plot_line_loading_bus_status(network):
     plt.colorbar(fraction=0.01, pad=0.06)
     Z2 = [[min(bus_color),0],[max(bus_color),0]]
     CS4 = plt.contourf(Z2,  cmap=plt.cm.jet)
-    plt.colorbar(fraction=0.01, pad=0.01)
\ No newline at end of file
+    plt.colorbar(fraction=0.01, pad=0.01)