Make figures 3 and 4 match paper guidelines

Author: staadecker

papers/Martin_Staadecker_Value_of_LDES_and_Factors/LDES_paper_graphs/Figure Wind vs Solar Dominant.py renamed to papers/Martin_Staadecker_Value_of_LDES_and_Factors/LDES_paper_graphs/figure-3-wind-vs-solar.py

@@ -5,13 +5,13 @@
 
 from papers.Martin_Staadecker_Value_of_LDES_and_Factors.LDES_paper_graphs.util import (
     set_style,
-    get_scenario,
+    get_scenario, save_figure,
 )
 
-tools_solar = GraphTools([get_scenario("WS10", "91% Solar to 9% Wind")])
+tools_solar = GraphTools([get_scenario("WS10", "91% Solar to 9% Wind")], set_style=False)
 tools_solar.pre_graphing(multi_scenario=False)
 
-tools_wind = GraphTools([get_scenario("WS066", "40% Solar to 60% Wind")])
+tools_wind = GraphTools([get_scenario("WS066", "40% Solar to 60% Wind")], set_style=False)
 tools_wind.pre_graphing(multi_scenario=False)
 
 ROLLING_AVERAGE_DAYS = 7
@@ -20,7 +20,6 @@
 set_style()
 plt.close()
 fig = plt.figure()
-fig.set_size_inches(12, 8)
 ax1 = fig.add_subplot(1, 2, 1, projection=tools_solar.maps.get_projection())
 ax2 = fig.add_subplot(1, 2, 2, projection=tools_wind.maps.get_projection())
 
@@ -108,3 +107,6 @@ def plot(tools, ax, data, legend=True):
 plot(tools_solar, ax1, get_data(tools_solar), legend=False)
 plt.tight_layout()
 plt.tight_layout()  # Twice to ensure it works properly, it's a bit weird at times'
+
+# %%
+save_figure("figure-3-wind-vs-solar.png")

papers/Martin_Staadecker_Value_of_LDES_and_Factors/LDES_paper_graphs/Figure baseline vs unlimited tx.py renamed to papers/Martin_Staadecker_Value_of_LDES_and_Factors/LDES_paper_graphs/figure-4-baseline-vs-unlimited-tx.py

@@ -9,7 +9,7 @@
 from switch_model.tools.graph.main import GraphTools
 from papers.Martin_Staadecker_Value_of_LDES_and_Factors.LDES_paper_graphs.util import (
     get_scenario,
-    set_style,
+    set_style, save_figure,
 )
 
 scenarios = [
@@ -20,7 +20,7 @@
     get_scenario("1342", "Baseline"),
     get_scenario("T5", "10x Tx Build Costs"),
 ]
-tools = GraphTools(scenarios=scenarios)
+tools = GraphTools(scenarios=scenarios, set_style=False)
 tools.pre_graphing(multi_scenario=True)
 
 tools_supplementary = GraphTools(scenarios=scenarios_supplementary)
@@ -99,7 +99,6 @@ def get_data(scenario_index):
 set_style()
 plt.close()
 fig = plt.figure()
-fig.set_size_inches(12, 6)
 
 # Define axes
 axes = []
@@ -121,7 +120,7 @@ def percent_to_color(percent):
 def plot(ax, data, legend):
     percent_gen, duration = data
 
-    max_size = 800
+    max_size = 400
     max = 50
     duration["size"] = duration["OnlinePowerCapacityMW"] / max * max_size
     tools.maps.draw_base_map(ax)
@@ -137,8 +136,8 @@ def plot(ax, data, legend):
             handles=legend_handles,
             bbox_to_anchor=(0.6, 0),
             loc="lower center",
-            fontsize=8,
-            title_fontsize=10,
+            fontsize="small",
+            title_fontsize="small",
             ncol=4,
         )
         # Add legend for power capacity
@@ -161,8 +160,8 @@ def plot(ax, data, legend):
             ],
             bbox_to_anchor=(0.35, 0),
             loc="lower center",
-            fontsize=8,
-            title_fontsize=10,
+            fontsize="small",
+            title_fontsize="small",
             ncol=3,
             labelspacing=1.5,
         )
@@ -194,14 +193,17 @@ def highlight_zones(zones, ax):
                 crs=tools.maps.get_projection(),
                 facecolor=(0, 0, 0, 0),  # Transparent
                 edgecolor="tab:green",
-                linewidth=2,
+                linewidth=1,
                 # linestyle="--",
                 # alpha=0,
             )
 
 
 highlight_zones(zones_to_highlight, axes[0])
 
+# %% SAVE FIGURE
+save_figure("figure-4-baseline-vs-unlimited-tx.png")
+
 # %%
 df = tools_supplementary.get_dataframe("storage_capacity.csv")
 df = df.set_index("load_zone")