basemap integration

tutorial-6/tutorial.py

@@ -11,9 +11,8 @@ from sklearn.cluster import KMeans, SpectralClustering
 from mpl_toolkits.basemap import Basemap
 
 
-### FUNCTIONS
-
 def plot_clusters(network, y_pred,X,lim_fig="None"):
+    
     colors_choice=['b', 'g', 'r', 'c', 'y', 'violet','purple','k','chartreuse','indianred','pink','orange','gray','yellow','springgreen','indigo','brown','silver','aqua']*(int(max(y_pred)/19)+1)
     colors_list = [ colors_choice[x] for x in y_pred]
 
@@ -33,10 +32,10 @@ def plot_clusters(network, y_pred,X,lim_fig="None"):
     plt.show()
 
 def plot_network(network,option="AC_DC",basemap="no"):
+
     fig, ax = plt.subplots()
     fig.set_size_inches(15,15)
 
-
     if basemap=="yes":
         long_min=-10
         long_max=30
@@ -77,6 +76,7 @@ def plot_network(network,option="AC_DC",basemap="no"):
         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)
 
     kmeans.fit(n[["x","y"]].values)
@@ -104,6 +104,7 @@ def P_nom_re(network,w_s=2.5,w_onw=0.2,w_ofw=0.1):
     network.generators.loc[network.generators['carrier'] == 'offwind',"p_nom"]=network.generators.loc[network.generators['carrier'] == 'offwind',"weight"]*w_ofw
 
 def lopf_d_h(network,day,hour):
+
     network.set_snapshots(pd.DatetimeIndex(start=hour.format(day), end=hour.format(day), freq='H'))
 
     # solve linear optimal power flow
@@ -111,6 +112,7 @@ def lopf_d_h(network,day,hour):
                      solver_name='glpk')
 
 def plot_line_loading(network):
+
     fig, ax = plt.subplots()
     ax.set_ylim([35,72])
     fig.set_size_inches(15,15)
@@ -132,6 +134,7 @@ def plot_line_loading(network):
     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)
@@ -169,6 +172,7 @@ def plot_bus_status(network):
     plt.colorbar(fraction=0.01, pad=0.01)
 
 def plot_line_loading_bus_status(network):
+
     fig, ax = plt.subplots()
     ax.set_ylim([35,72])
     fig.set_size_inches(15,15)