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# Created by https://www.toptal.com/developers/gitignore/api/python |
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# Edit at https://www.toptal.com/developers/gitignore?templates=python |
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### Python ### |
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# Byte-compiled / optimized / DLL files |
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__pycache__/ |
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*.py[cod] |
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*$py.class |
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# C extensions |
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*.so |
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# Distribution / packaging |
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.Python |
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build/ |
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develop-eggs/ |
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dist/ |
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downloads/ |
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eggs/ |
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lib/ |
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lib64/ |
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parts/ |
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sdist/ |
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var/ |
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wheels/ |
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share/python-wheels/ |
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*.egg-info/ |
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.installed.cfg |
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*.egg |
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MANIFEST |
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# PyInstaller |
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# Usually these files are written by a python script from a template |
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# before PyInstaller builds the exe, so as to inject date/other infos into it. |
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*.manifest |
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*.spec |
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# Installer logs |
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pip-log.txt |
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pip-delete-this-directory.txt |
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.tox/ |
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.coverage |
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.cache |
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nosetests.xml |
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coverage.xml |
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*.cover |
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*.py,cover |
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.hypothesis/ |
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.pytest_cache/ |
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cover/ |
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# Translations |
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*.pot |
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*.log |
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local_settings.py |
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instance/ |
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# PyBuilder |
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# Jupyter Notebook |
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# IPython |
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profile_default/ |
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ipython_config.py |
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# pyenv |
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# For a library or package, you might want to ignore these files since the code is |
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# intended to run in multiple environments; otherwise, check them in: |
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# .python-version |
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# pipenv |
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. |
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# However, in case of collaboration, if having platform-specific dependencies or dependencies |
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# having no cross-platform support, pipenv may install dependencies that don't work, or not |
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# install all needed dependencies. |
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#Pipfile.lock |
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow |
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__pypackages__/ |
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# Celery stuff |
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celerybeat-schedule |
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celerybeat.pid |
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*.sage.py |
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# Environments |
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venv.bak/ |
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# Spyder project settings |
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.spyderproject |
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# Rope project settings |
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.ropeproject |
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# mkdocs documentation |
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/site |
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# mypy |
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.mypy_cache/ |
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.dmypy.json |
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dmypy.json |
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# Pyre type checker |
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.pyre/ |
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# pytype static type analyzer |
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.pytype/ |
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# Cython debug symbols |
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cython_debug/ |
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# End of https://www.toptal.com/developers/gitignore/api/python |
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*.swp |
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@ -1,44 +1,103 @@ |
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import matplotlib.pyplot as plt |
import matplotlib.pyplot as plt |
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import numpy as np |
import numpy as np |
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import json |
import json |
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import sys |
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import argparse |
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__author__ = 'm3x1m0m' |
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with open("ecar.json", "r") as rf: |
class c_settings_extractor: |
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settings = json.load(rf) |
def __init__(self, fname): |
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with open(fname, "r") as rf: |
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settings = json.load(rf) |
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kilometer_price_ccar = settings["ccar"]["litres_per_kilometer"] * settings["petrol_litre_price"] |
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self.labels = [settings["ecar"]["label"], settings["ccar"]["label"]] |
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self.purchase = np.array([settings["ecar"]["price"], settings["ccar"]["price"]]) |
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self.taxes = np.array([settings["ecar"]["taxes"], settings["ccar"]["taxes"]]) |
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self.insurance = np.array([settings["ecar"]["insurance"], settings["ccar"]["insurance"]]) |
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kilometer_price_ecar = ( settings["ecar"]["charging_behaviour"]["percent_home_charges"] * settings["kwh_price_home"] |
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+ settings["ecar"]["charging_behaviour"]["percent_commercial_charges"] * settings["kwh_price_commercial"]) / 100.0 |
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self.driving = np.array([kilometer_price_ecar * settings["kilometers_per_year"], kilometer_price_ccar * settings["kilometers_per_year"]]) |
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self.maintenance = np.array([settings["ecar"]["maintenance"], settings["ecar"]["maintenance"]]) |
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def get_labels(self): |
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return self.labels |
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def get_purchase(self): |
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return self.purchase |
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def get_taxes(self): |
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return self.taxes |
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def get_insurance(self): |
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return self.insurance |
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def get_driving(self): |
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return self.driving |
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def get_maintenance(self): |
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return self.maintenance |
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kilometer_price = np.array( [settings["ecar"]["kwh_per_kilometer"] * settings["kwh_price_home"], |
class c_ecar_comparator: |
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settings["ccar"]["litre_per_kilometer"] * settings["petrol_litre_price"]]) |
def __init__(self, fname): |
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labels = [settings["ecar"]["label"], settings["ccar"]["label"]] |
self.settings_extractor = c_settings_extractor(fname) |
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price = np.array([settings["ecar"]["price"], settings["ccar"]["price"]]) |
def calculate_costs_a_year(self): |
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taxes = np.array([settings["ecar"]["taxes"], settings["ccar"]["taxes"]]) |
taxes = self.settings_extractor.get_taxes() |
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insurance = np.array([settings["ecar"]["insurance"], settings["ccar"]["insurance"]]) |
insurance = self.settings_extractor.get_insurance() |
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kilometer_price_ecar = (settings["ecar"]["charging_behaviour"]["percent_home_charges"] * settings["kwh_price_home"] |
driving = self.settings_extractor.get_driving() |
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+ settings["ecar"]["charging_behaviour"]["percent_commercial_charges"] * settings["kwh_price_commercial"]) / 100.0 |
maintenance = self.settings_extractor.get_maintenance() |
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driving = np.array([kilometer_price_ecar * settings["kilometers_per_year"], kilometer_price[1] * settings["kilometers_per_year"]]) |
return taxes + insurance + driving + maintenance |
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maintenance = np.array([settings["ecar"]["maintenance"], settings["ecar"]["maintenance"]]) |
def calculate_costs(self, years, months): |
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width = 0.3 |
months_a_year = 12.0 |
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costs_a_year = self.calculate_costs_a_year() |
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return costs_a_year * (years + months/months_a_year) |
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def calculate_break_even(self): |
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total_costs = self.settings_extractor.get_purchase() |
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months_a_year = 12.0 |
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increment = self.calculate_costs_a_year() / months_a_year |
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months = 0 |
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while total_costs[0] > total_costs[1]: |
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total_costs += increment |
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months += 1 |
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return [months/months_a_year, months%months_a_year] # years, months |
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fig, ax = plt.subplots() |
def main(): |
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ax.bar(labels, price, width, label = "Price", color = "gray") |
parser = argparse.ArgumentParser(description='This script allows to calculate if an electric car makes sense financially for you') |
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currenty = price |
parser.add_argument('-a','--settings', help='Settings file', required=True, metavar=('FILENAME')) |
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y = 0 |
parser.add_argument('-b','--break_even', help='Calculate the break even point. (When does the EV become cheaper)', action='store_true') |
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parser.add_argument('-c','--savings_per_year', help='Calculate savings per year', action='store_true') |
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parser.add_argument('-d','--savings_per_month', help='Calculate savings per month', action='store_true') |
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parser.add_argument('-e','--plot', help='Visualize costs over one or multiple years', type=int, metavar=('YEARS')) |
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args = parser.parse_args() |
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if not args.break_even and not args.savings_per_year and not args.savings_per_month and not args.plot: |
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sys.exit("Please choose one or multiple options") |
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comparator = c_ecar_comparator(args.settings) |
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extractor = c_settings_extractor(args.settings) |
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if args.plot: |
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width = 0.3 |
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labels = extractor.get_labels() |
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purchase = extractor.get_purchase() |
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taxes = extractor.get_taxes() |
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insurance = extractor.get_insurance() |
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driving = extractor.get_driving() |
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maintenance = extractor.get_maintenance() |
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fig, ax = plt.subplots() |
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ax.bar(labels, purchase, width, label = "Price", color = "gray") |
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current_y = extractor.get_purchase() |
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y = 0 |
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for i in range(settings["years"]): |
for i in range(args.plot): |
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#while currenty[0] > currenty[1]: |
ax.bar(labels, taxes, width, bottom = current_y, label = "Taxes".format(y), color = "darkgreen") |
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ax.bar(labels, taxes, width, bottom = currenty, label = "Taxes".format(y), color = "darkgreen") |
current_y = current_y + taxes |
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currenty = currenty + taxes |
ax.bar(labels, insurance, width, bottom = current_y, label = "Insurance".format(y), color = "royalblue") |
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ax.bar(labels, insurance, width, bottom = currenty, label = "Insurance".format(y), color = "royalblue") |
current_y = current_y + insurance |
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currenty = currenty + insurance |
ax.bar(labels, driving, width, bottom = current_y, label = "Driving".format(y), color = "midnightblue") |
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ax.bar(labels, driving, width, bottom = currenty, label = "Driving".format(y), color = "midnightblue") |
current_y = current_y + driving |
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currenty = currenty + driving |
ax.bar(labels, maintenance, width, bottom = current_y, label = "Maintenance".format(y), color = "lavender") |
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ax.bar(labels, maintenance, width, bottom = currenty, label = "Maintenance".format(y), color = "lavender") |
current_y = current_y + maintenance |
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currenty = currenty + maintenance |
y += 1 |
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y += 1 |
ecar_top = current_y[0] |
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ecar_top = currenty[0] |
#ax.plot(np.linspace(-0.2, 1.2, 10), [ecar_top]*10, "--", color = "firebrick", label = "Break even") |
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#ax.plot(np.linspace(-0.2, 1.2, 10), [ecar_top]*10, "--", color = "firebrick", label = "Break even") |
#ax.text(0.3, ecar_top * 0.95, "Break even: {} years, {} kilometers".format(y, y*settings["kilometers_per_year"])) |
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ax.text(0.3, ecar_top * 0.95, "Break even: {} years, {} kilometers".format(y, y*settings["kilometers_per_year"])) |
ax.set_ylabel("CHF") |
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ax.set_ylabel("CHF") |
ax.set_title("Comparision of economics electric vs. combustion car") |
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ax.set_title("Comparision of economics electric vs. combustion car") |
ax.legend(["Price", "Taxes", "Insurance", "Driving", "Maintenance"]) |
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ax.legend(["Price", "Taxes", "Insurance", "Driving", "Maintenance"]) |
ax.grid(axis = "y") |
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ax.grid(axis = "y") |
#print("Break even after {} years and {} kilometers. {}".format(y, y*settings["kilometers_per_year"], current_y[0]-current_y[1])) |
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print("Break even after {} years and {} kilometers. {}, {}".format(y, y*settings["kilometers_per_year"], currenty[0], currenty[1])) |
plt.show() |
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plt.show() |
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if __name__ == "__main__": |
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main() |
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