Some fine tuning

README.md

@@ -33,17 +33,17 @@ Important milestones the script allows to calculate depending on personal drivin
 The plot below can be generated with 
 
 ```
-python3 ecar.py --settings ecar.json -b -c -d -e -f --plot 3
+python3 ecar.py --settings example_0.json -b -c -d -e -f --plot 3
 ```
 
-This will also lead to the following output
+This will lead to the following output.
 
 ```
 Break even after 0.0 years and 3.0 months.
 Savings per month based on yearly spending: 279.83.
 Savings per year: 3358.0.
 Costs driving 100 km in the Nissan Leaf 2013: 3.5. Costs driving 100 km in the Suzuki Grand Vitara 2008: 14.
-The electric vehicle will be amortized by savings after 2.0 years, 4.0 months or exactely at 45265.04 kilometres.
+The electric vehicle will be amortized by savings after 2.0 years, 7.0 months or exactely at 50666.67 kilometres.
 ```
 
-![Example 0](https://git.stiefel.tech/m3x1m0m/EconomicsOfAnElectricVehicle/raw/branch/master/pictures/plot_ex_0.png)
+![Example 0](https://git.stiefel.tech/m3x1m0m/EconomicsOfAnElectricVehicle/raw/branch/master/pictures/plot_ex_0.png)

ecar.py

@@ -9,7 +9,7 @@ class c_settings_extractor:
     def __init__(self, fname):
         with open(fname, "r") as rf:
             settings = json.load(rf)
-            kilometer_price_ccar = settings["ccar"]["litres_per_kilometer"] * settings["petrol_litre_price"]
+            kilometer_price_ccar = settings["ccar"]["litres_per_kilometer"] * settings["juice_litre_price"]
             self.labels = [settings["ecar"]["label"], settings["ccar"]["label"]]
             self.purchase = np.array([settings["ecar"]["price"], settings["ccar"]["price"]])
             self.taxes = np.array([settings["ecar"]["taxes"], settings["ccar"]["taxes"]])
@@ -138,22 +138,26 @@ def main():
             current_y = current_y + maintenance
             y += 1
         labels = ["Purchase", "Taxes", "Insurance", "Driving", "Maintenance"]
+        lnspace_start = -0.2
+        lnspace_stop = 1.2
+        lnspace_n = 10
+        x_text = 0.2
         if args.break_even:
             months_a_year = 12.0
             be_money = (be_years + be_months/months_a_year) * comparator.calculate_costs_a_year()
             be_money = be_money[1] + extractor.get_purchase()
-            ax.plot(np.linspace(-0.2, 1.2, 10), [be_money[1]]*10, "--", color = plt_colors[2], label = "Break even")
-            ax.text(0.3, be_money[1] + 100, "Break even: {} years, {} months, {} kilometers".format(be_years, be_months, be_kilometers))
+            ax.plot(np.linspace(lnspace_start, lnspace_stop, lnspace_n), [be_money[1]]*lnspace_n, "--", color = plt_colors[2], label = "Break even")
+            ax.text(x_text, be_money[1] + 100, "Break even: {} years, {} months, {} kilometers".format(be_years, be_months, be_kilometers))
             labels = ["Break even"] + labels
         if args.amortization:
             months_a_year = 12.0
             am_money = (am_years + am_months/months_a_year) * comparator.calculate_costs_a_year()
             am_money = am_money[1] + extractor.get_purchase()
-            ax.plot(np.linspace(-0.2, 1.2, 10), [am_money[1]]*10, "--", color = plt_colors[2], label = "Amortization")
-            ax.text(0.3, am_money[1] + 100, "Amortization: {} years, {} months, {} kilometers".format(am_years, am_months, am_kilometers))
+            ax.plot(np.linspace(lnspace_start, lnspace_stop, lnspace_n), [am_money[1]]*lnspace_n, "--", color = plt_colors[2], label = "Amortization")
+            ax.text(x_text, am_money[1] + 100, "Amortization: {} years, {} months, {} kilometers".format(am_years, am_months, am_kilometers))
             labels = ["Amortization"] + labels
         ax.set_ylabel(extractor.get_currency())
-        ax.set_title("Comparision of economics electric vs. combustion car")
+        ax.set_title("Comparision of economics: Electric vs. combustion car")
         ax.legend(labels)
         ax.grid(axis = "y")
         plt.show()

ecar.json → example_0.json

@@ -2,9 +2,8 @@
     "currency": "CHF",	
     "kwh_price_home": 0.2,
     "kwh_price_commercial": 0.5,
-    "petrol_litre_price": 1.75,
+    "juice_litre_price": 1.75,
     "kilometers_per_year": 20000.0,
-    "years": 6,
     "ecar": {
 	"label": "Nissan Leaf 2013",
         "price": 7600,