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Commit d3768a3d authored by Christof Kaufmann's avatar Christof Kaufmann
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Notebooks from applied-cs/data-science@a8ca9af1

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02-python-vertiefung/folien-code/data.csv 0 → 100644
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View file @ d3768a3d
x1,x2,x3,y
25,1,20,0
5,16,2,1
13,21,13,1
17,9,11,0
21,17,13,1
\ No newline at end of file
02-python-vertiefung/folien-code/folien-code.ipynb 0 → 100644
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%% Cell type:markdown id: tags:
# Code zu Folien
Dieses Skript bzw. Jupyter-Notebook enthält den Code, der auch auf den Folien "Python Vertiefung" enthalten ist. Zum Vorbereiten, Mitmachen oder Nacharbeiten.
%% Cell type:code id: tags:
```
a = [1, 3, 5]
b = a # b ist eine weitere Referenz
print(a, b)
b[1] = 10 # ändere Objekt, das b referenziert
print(a, b)
```
%% Cell type:code id: tags:
```
a = [1, 3, 5]
b = a # b ist eine weitere Referenz
c = [1, 3, 5] # zweites Objekt
print(a == b, a is b) # a und b sind dasselbe Objekt
print(a == c, a is c) # a und c sind gleich, aber verschiedene Objekte
```
%% Cell type:code id: tags:
```
a = [1, [3], 5] # Objekt in Objekt
b = a.copy() # b ist eine flache Kopie
print(a, b)
b[0] = 2 # ändere Objekt auf das b referenziert
b[1].append(4) # ändere Objekt auf das das Objekt referenziert auf das b referenziert
print(a, b)
```
%% Cell type:code id: tags:
```
t = (1, 2, 3)
a, b, c = t # auf der linken Seite darf ein Tupel oder eine Liste von Variablen stehen
def fun(x, y, z):
print(x, y, z)
t = (1, 2, 3) # Reihenfolge wird beibehalten
fun(*t) # ergibt: 1 2 3
d = {'z':1, 'y':2, 'x':3} # Reihenfolge ist hier unwichtig, aber Namen müssen übereinstimmen
fun(**d) # ergibt: 3 2 1
```
%% Cell type:code id: tags:
```
def fun(*args):
print(len(args), 'Argumente:', args)
fun(1, 2, 3) # ergibt: 3 Argumente: (1, 2, 3)
fun('hello', 'python') # ergibt: 2 Argumente: ('hello', 'python')
def fun(**kwargs):
print(len(kwargs), 'Argumente:', kwargs)
fun(y=1, x=2, z=3) # ergibt: 3 Argumente: {'y': 1, 'x': 2, 'z': 3}
def fun(*args, **kwargs):
print('args:', args, 'kwargs:', kwargs)
fun(1, 2, x=3, y=4) # ergibt args: (1, 2) kwargs: {'x': 3, 'y': 4}
```
%% Cell type:code id: tags:
```
def f(a, b):
return a(b)
f(print, 'test') # normale print-Funktion übergeben
def arg_fun(s):
return s * 2
print(f(arg_fun, 'test'))
arg_fun = lambda s: s * 2 # analog zu def arg_fun(s): return s * 2
print(f(arg_fun, 'test'))
print(f(lambda s: s * 2, 'test')) # analog zu def arg_fun(s): return s * 2
```
%% Cell type:code id: tags:
```
def multiplier(a):
def multiply(b):
return a * b
return multiply
five_times = multiplier(5)
ten_times = multiplier(10)
print(five_times(6))
print(ten_times(1))
```
%% Cell type:code id: tags:
```
def make_stars(fun):
def wrapped_in_stars():
print('*' * 30)
fun() # call original function
print('*' * 30)
return wrapped_in_stars
@make_stars
def hello_stars():
print('Hello, stars! :-)')
# starred = make_stars(hello_stars)
# starred()
# hello_stars = make_stars(hello_stars)
hello_stars()
```
%% Cell type:code id: tags:
```
import numpy # numpy steht über numpy zur Verfügung
print(numpy.pi)
import numpy as np # numpy steht über np zur Verfügung (üblich)
print(np.pi)
from numpy import pi # nur numpy.pi steht über pi zur Verfügung
print(pi)
```
%% Cell type:code id: tags:
```
# check current working directory – must be in the same directory as mymodule.py
import os
assert 'mymodule.py' in os.listdir(), f'mymodule.py is not in the current working directory of the python interpreter. You are here: {os.getcwd()}'
# try code from slide
import mymodule # gibt nur beim ersten Import etwas aus
mymodule.say_hello('you')
print(mymodule.__file__)
help(mymodule) # Hilfe anzeigen
```
%% Cell type:code id: tags:
```
# gibt nur beim ersten Import etwas aus
import mypackage
from mypackage.mymod import say_hello
mypackage.say_hello('you')
say_hello('you')
# hier muss das Modul "more" explizit importiert werden, da die Init-Datei leer ist
import mypackage.subpackage.more
mypackage.subpackage.more.say_bye()
```
%% Cell type:code id: tags:
```
f = open('data.csv')
header = f.readline()
print(header)
# for line in f.readlines(): # iteriert über alle Zeilen
for line in f: # oder kürzer: for line in f: iteriert auch über alle Zeilen
print(line.strip()) # strip entfernt \n um Leerzeilen zu vermeiden
f.close()
```
%% Cell type:code id: tags:
```
f = open('test.md', mode='w')
f.write('# Schreibtest\n\n')
print('Kleiner Test', file=f)
f.writelines(['\n', '- bli\n', '- bla\n'])
f.write('\n'.join(['', '- blupp', '- blupp\n']))
f.close()
# Ausgabe der Datei
f = open('test.md')
print(f.read())
f.close()
```
%% Cell type:code id: tags:
```
f = open('data.csv')
print(f.closed)
f.close()
print(f.closed)
with open('data.csv') as f:
# innerhalb dieses Blocks ist die Datei offen
header = f.readline()
print(f.closed) # ergibt: False
# außerhalb des Blocks ist die Datei geschlossen
print(f.closed) # ergibt: True
print(header)
```
%% Cell type:code id: tags:
```
p = 'summe.ipynb' # relativer Pfad zu einer Datei
dirname, filename = os.path.split(p) # splitte Pfad in Verzeichnis und Datei
base, ext = os.path.splitext(filename) # splitte Datei in Basis und Erweiterung
print(dirname, filename, base, ext, sep=', ')
absdir = os.path.abspath(dirname) # wandle dirname zu absoluten Pfad um
absfile = os.path.join(absdir, base + '.py') # fügt mit Pfadtrenner zusammen
print(absfile)
```
%% Cell type:code id: tags:
```
import pathlib
p = pathlib.Path('summe.ipynb') # relativer Pfad zu einer Datei
abs_p = p.absolute() # wandle p zu absoluten Pfad um (hier: irrelevant)
abs_py = abs_p.with_suffix('.py') # Dateinamenserweiterung tauschen
print(abs_py)
framework_dir = abs_p.parent.parent # gehe zweimal "hoch"
print(framework_dir) # (ginge auch relativ: PosixPath('..'))
prod_ex = framework_dir / 'funktionen' / 'prod.py' # füge mit Pfadtrenner an
print(prod_ex)
file_content = prod_ex.read_text() # Datei einlesen
prod_ex.with_name('prod_copy.py').write_text(file_content) # Datei schreiben
```
%% Cell type:code id: tags:
```
from glob import glob
files = glob('~/data-science-notebooks/*grundlagen/*-sol.ipynb')
print(files)
files = glob('~/data-science-notebooks/**/[g-h]*-sol.ipynb', recursive=True)
print(files)
paths = pathlib.Path('..').glob('**/[a-g]*.ipynb')
print(list(paths))
```
%% Cell type:code id: tags:
```
def nthroot(x: float, n: float = 2) -> float:
"""nth root of a number
Parameters
----------
x : float or int
Number to take the root from.
n : float or int, optional
Root parameter (the default is 2).
Returns
-------
float
The nth root.
"""
return x ** (1/n)
help(nthroot)
print(nthroot(3, 3))
print(nthroot('asd', 3)) # um hier den Fehler sehen zu können, sollte mypy als Paket und VS Code Erweiterung installiert sein
```
%% Cell type:code id: tags:
```
from pathlib import Path
def tabs_to_spaces(filename):
if '*' in filename:
raise InvalidFileName(f'Filenames with * are not allowed: {filename}') # message if not caught
# raise ValueError(f'Filenames with * are not allowed: {filename}') # message if not caught
p = Path(filename)
file_contents = p.read_text().replace('\t', ' ')
p.write_text(file_contents)
class InvalidFileName(Exception):
pass
filenames = ['data.csv', 'does-not-exist', '*.csv']
for filename in filenames:
try:
tabs_to_spaces(filename)
except FileNotFoundError as e:
print(f'File {filename} not found, so also not converted to spaces.')
# except ValueError as e:
except InvalidFileName as e:
print(f'Use proper filenames, not glob syntax. Resolve {filename} before using glob.glob.')
except PermissionError as e: # e enthält die Fehlernachricht als str(e)
print(e, 'Could not convert to spaces.', sep='. ')
```
%% Cell type:code id: tags:
```
def fun():
with open('does-not-exist') as f:
f.read()
fun() # FileNotFoundError
```
%% Cell type:code id: tags:
```
class MyComplex:
def __init__(self, re=0, im=0): # Konstruktor mit zwei "echten" Argumenten
self.re = re
self.im = im
def conjugate(self): # Methode ohne "echte" Argumente
return MyComplex(self.re, -self.im)
def __repr__(self): # wird über repr(z) (und ggf. über str(z)) aufgerufen
return f'MyComplex({self.re}, {self.im})'
def __str__(self): # wird über str(z) aufgerufen
return f'({self.re}{self.im:+}j)'
z1 = MyComplex(3, 4)
z2 = z1.conjugate()
print(f'z1: ({z1.re}, {z1.im})')
print(f'z2: ({z2.re}, {z2.im})')
print(repr(z1))
print(z1) # ruft intern str(z) auf, das als Fallback repr(z) aufrufen würde
```
%% Cell type:code id: tags:
```
class A:
def __bar(self):
print('...not really private...')
a = A()
# a.__bar() # So geht es zwar nicht...
a._A__bar() # aber so
class B:
def _foo(self):
print('foo!')
b = B()
b._foo()
```
%% Cell type:code id: tags:
```
class MyPositiveNumber:
def __init__(self, r=0):
self.r = r
num = MyPositiveNumber(3)
num.r = -8 # schreiben
print(num.r) # lesen, ergibt -8
class MyPositiveNumber:
def __init__(self, r=0):
self.r = r # benutzt schon setter unten
@property # getter
def r(self):
return self._r
@r.setter # setter
def r(self, val):
self._r = val if val > 0 else 0
num = MyPositiveNumber(3)
num.r = -8 # ruft setter auf
print(num.r) # ruft getter auf, ergibt: 0
```
%% Cell type:code id: tags:
```
class MyPositiveComplex(MyPositiveNumber): # erbt von MyPositiveNumber
def __init__(self, r=0, i=0):
super().__init__(r) # rufe Konstruktor von MyPositiveNumber auf
self.i = i # benutzt schon setter unten
@property # getter
def i(self):
return self._i
@i.setter # setter
def i(self, val):
self._i = val if val > 0 else 0
c = MyPositiveComplex(-8, 1)
c.i = -5 # ruft setter auf
print(f'{c.r} + {c.i}j') # ruft getter auf, ergibt: 0 + 0j
```
%% Cell type:code id: tags:
```
class Text:
def __init__(self, text):
self.text = text
@classmethod
def from_file(cls, path):
with open(path) as f:
return cls(f.read())
class GradedText(Text):
def __init__(self, text, grade=None):
super().__init__(text)
self.grade = grade
file = 'data.csv'
t = Text.from_file(file)
print(t.text)
print(type(t))
gt = GradedText.from_file(file)
print(gt.text, gt.grade)
print(type(gt))
```
02-python-vertiefung/folien-code/folien-code.py 0 → 100644
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# %% [markdown]
# # Code zu Folien
#
# Dieses Skript bzw. Jupyter-Notebook enthält den Code, der auch auf den Folien "Python Vertiefung" enthalten ist. Zum Vorbereiten, Mitmachen oder Nacharbeiten.
# %% Referenzen
a = [1, 3, 5]
b = a # b ist eine weitere Referenz
print(a, b)
b[1] = 10 # ändere Objekt, das b referenziert
print(a, b)
# %% Gleichheit und Identität
a = [1, 3, 5]
b = a # b ist eine weitere Referenz
c = [1, 3, 5] # zweites Objekt
print(a == b, a is b) # a und b sind dasselbe Objekt
print(a == c, a is c) # a und c sind gleich, aber verschiedene Objekte
# %% Flache Kopie
a = [1, [3], 5] # Objekt in Objekt
b = a.copy() # b ist eine flache Kopie
print(a, b)
b[0] = 2 # ändere Objekt auf das b referenziert
b[1].append(4) # ändere Objekt auf das das Objekt referenziert auf das b referenziert
print(a, b)
# %% Übergabe an Funktionsargumente
t = (1, 2, 3)
a, b, c = t # auf der linken Seite darf ein Tupel oder eine Liste von Variablen stehen
def fun(x, y, z):
print(x, y, z)
t = (1, 2, 3) # Reihenfolge wird beibehalten
fun(*t) # ergibt: 1 2 3
d = {'z':1, 'y':2, 'x':3} # Reihenfolge ist hier unwichtig, aber Namen müssen übereinstimmen
fun(**d) # ergibt: 3 2 1
# %% Beliebige Anzahl Argumente
def fun(*args):
print(len(args), 'Argumente:', args)
fun(1, 2, 3) # ergibt: 3 Argumente: (1, 2, 3)
fun('hello', 'python') # ergibt: 2 Argumente: ('hello', 'python')
def fun(**kwargs):
print(len(kwargs), 'Argumente:', kwargs)
fun(y=1, x=2, z=3) # ergibt: 3 Argumente: {'y': 1, 'x': 2, 'z': 3}
def fun(*args, **kwargs):
print('args:', args, 'kwargs:', kwargs)
fun(1, 2, x=3, y=4) # ergibt args: (1, 2) kwargs: {'x': 3, 'y': 4}
# %% Funktionen als Objekte
def f(a, b):
return a(b)
f(print, 'test') # normale print-Funktion übergeben
def arg_fun(s):
return s * 2
print(f(arg_fun, 'test'))
arg_fun = lambda s: s * 2 # analog zu def arg_fun(s): return s * 2
print(f(arg_fun, 'test'))
print(f(lambda s: s * 2, 'test')) # analog zu def arg_fun(s): return s * 2
# %% Funktionen als Rückgabewerte / Closure
def multiplier(a):
def multiply(b):
return a * b
return multiply
five_times = multiplier(5)
ten_times = multiplier(10)
print(five_times(6))
print(ten_times(1))
# %% Decorators
def make_stars(fun):
def wrapped_in_stars():
print('*' * 30)
fun() # call original function
print('*' * 30)
return wrapped_in_stars
@make_stars
def hello_stars():
print('Hello, stars! :-)')
# starred = make_stars(hello_stars)
# starred()
# hello_stars = make_stars(hello_stars)
hello_stars()
# %% Module importieren
import numpy # numpy steht über numpy zur Verfügung
print(numpy.pi)
import numpy as np # numpy steht über np zur Verfügung (üblich)
print(np.pi)
from numpy import pi # nur numpy.pi steht über pi zur Verfügung
print(pi)
# %% Eigene Module
# check current working directory – must be in the same directory as mymodule.py
import os
assert 'mymodule.py' in os.listdir(), f'mymodule.py is not in the current working directory of the python interpreter. You are here: {os.getcwd()}'
# try code from slide
import mymodule # gibt nur beim ersten Import etwas aus
mymodule.say_hello('you')
print(mymodule.__file__)
help(mymodule) # Hilfe anzeigen
# %% Eigene Pakete
# gibt nur beim ersten Import etwas aus
import mypackage
from mypackage.mymod import say_hello
mypackage.say_hello('you')
say_hello('you')
# hier muss das Modul "more" explizit importiert werden, da die Init-Datei leer ist
import mypackage.subpackage.more
mypackage.subpackage.more.say_bye()
# %% Dateien lesen
f = open('data.csv')
header = f.readline()
print(header)
# for line in f.readlines(): # iteriert über alle Zeilen
for line in f: # oder kürzer: for line in f: iteriert auch über alle Zeilen
print(line.strip()) # strip entfernt \n um Leerzeilen zu vermeiden
f.close()
# %% Dateien schreiben
f = open('test.md', mode='w')
f.write('# Schreibtest\n\n')
print('Kleiner Test', file=f)
f.writelines(['\n', '- bli\n', '- bla\n'])
f.write('\n'.join(['', '- blupp', '- blupp\n']))
f.close()
# Ausgabe der Datei
f = open('test.md')
print(f.read())
f.close()
# %% Dateien öffnen und schließen mit Kontext-Manager
f = open('data.csv')
print(f.closed)
f.close()
print(f.closed)
with open('data.csv') as f:
# innerhalb dieses Blocks ist die Datei offen
header = f.readline()
print(f.closed) # ergibt: False
# außerhalb des Blocks ist die Datei geschlossen
print(f.closed) # ergibt: True
print(header)
# %% Pfade als Objekt: String
p = 'summe.ipynb' # relativer Pfad zu einer Datei
dirname, filename = os.path.split(p) # splitte Pfad in Verzeichnis und Datei
base, ext = os.path.splitext(filename) # splitte Datei in Basis und Erweiterung
print(dirname, filename, base, ext, sep=', ')
absdir = os.path.abspath(dirname) # wandle dirname zu absoluten Pfad um
absfile = os.path.join(absdir, base + '.py') # fügt mit Pfadtrenner zusammen
print(absfile)
# %% Pfade als Objekt: pathlib
import pathlib
p = pathlib.Path('summe.ipynb') # relativer Pfad zu einer Datei
abs_p = p.absolute() # wandle p zu absoluten Pfad um (hier: irrelevant)
abs_py = abs_p.with_suffix('.py') # Dateinamenserweiterung tauschen
print(abs_py)
framework_dir = abs_p.parent.parent # gehe zweimal "hoch"
print(framework_dir) # (ginge auch relativ: PosixPath('..'))
prod_ex = framework_dir / 'funktionen' / 'prod.py' # füge mit Pfadtrenner an
print(prod_ex)
file_content = prod_ex.read_text() # Datei einlesen
prod_ex.with_name('prod_copy.py').write_text(file_content) # Datei schreiben
# %% Dateinamen finden mittels glob-Syntax
from glob import glob
files = glob('~/data-science-notebooks/*grundlagen/*-sol.ipynb')
print(files)
files = glob('~/data-science-notebooks/**/[g-h]*-sol.ipynb', recursive=True)
print(files)
paths = pathlib.Path('..').glob('**/[a-g]*.ipynb')
print(list(paths))
# %% Docstrings und Type Hinting
def nthroot(x: float, n: float = 2) -> float:
"""nth root of a number
Parameters
----------
x : float or int
Number to take the root from.
n : float or int, optional
Root parameter (the default is 2).
Returns
-------
float
The nth root.
"""
return x ** (1/n)
help(nthroot)
print(nthroot(3, 3))
print(nthroot('asd', 3)) # um hier den Fehler sehen zu können, sollte mypy als Paket und VS Code Erweiterung installiert sein
# %% Fehler werfen und behandeln
from pathlib import Path
def tabs_to_spaces(filename):
if '*' in filename:
raise InvalidFileName(f'Filenames with * are not allowed: {filename}') # message if not caught
# raise ValueError(f'Filenames with * are not allowed: {filename}') # message if not caught
p = Path(filename)
file_contents = p.read_text().replace('\t', ' ')
p.write_text(file_contents)
class InvalidFileName(Exception):
pass
filenames = ['data.csv', 'does-not-exist', '*.csv']
for filename in filenames:
try:
tabs_to_spaces(filename)
except FileNotFoundError as e:
print(f'File {filename} not found, so also not converted to spaces.')
# except ValueError as e:
except InvalidFileName as e:
print(f'Use proper filenames, not glob syntax. Resolve {filename} before using glob.glob.')
except PermissionError as e: # e enthält die Fehlernachricht als str(e)
print(e, 'Could not convert to spaces.', sep='. ')
# %% Traceback
def fun():
with open('does-not-exist') as f:
f.read()
fun() # FileNotFoundError
# %% MyComplex
class MyComplex:
def __init__(self, re=0, im=0): # Konstruktor mit zwei "echten" Argumenten
self.re = re
self.im = im
def conjugate(self): # Methode ohne "echte" Argumente
return MyComplex(self.re, -self.im)
def __repr__(self): # wird über repr(z) (und ggf. über str(z)) aufgerufen
return f'MyComplex({self.re}, {self.im})'
def __str__(self): # wird über str(z) aufgerufen
return f'({self.re}{self.im:+}j)'
z1 = MyComplex(3, 4)
z2 = z1.conjugate()
print(f'z1: ({z1.re}, {z1.im})')
print(f'z2: ({z2.re}, {z2.im})')
print(repr(z1))
print(z1) # ruft intern str(z) auf, das als Fallback repr(z) aufrufen würde
# %% Kapselung
class A:
def __bar(self):
print('...not really private...')
a = A()
# a.__bar() # So geht es zwar nicht...
a._A__bar() # aber so
class B:
def _foo(self):
print('foo!')
b = B()
b._foo()
# %% Getter und Setter mit Decorator property
class MyPositiveNumber:
def __init__(self, r=0):
self.r = r
num = MyPositiveNumber(3)
num.r = -8 # schreiben
print(num.r) # lesen, ergibt -8
class MyPositiveNumber:
def __init__(self, r=0):
self.r = r # benutzt schon setter unten
@property # getter
def r(self):
return self._r
@r.setter # setter
def r(self, val):
self._r = val if val > 0 else 0
num = MyPositiveNumber(3)
num.r = -8 # ruft setter auf
print(num.r) # ruft getter auf, ergibt: 0
# %% Vererbung
class MyPositiveComplex(MyPositiveNumber): # erbt von MyPositiveNumber
def __init__(self, r=0, i=0):
super().__init__(r) # rufe Konstruktor von MyPositiveNumber auf
self.i = i # benutzt schon setter unten
@property # getter
def i(self):
return self._i
@i.setter # setter
def i(self, val):
self._i = val if val > 0 else 0
c = MyPositiveComplex(-8, 1)
c.i = -5 # ruft setter auf
print(f'{c.r} + {c.i}j') # ruft getter auf, ergibt: 0 + 0j
# %% Alternativer Konstruktor mit Klassenmethode
class Text:
def __init__(self, text):
self.text = text
@classmethod
def from_file(cls, path):
with open(path) as f:
return cls(f.read())
class GradedText(Text):
def __init__(self, text, grade=None):
super().__init__(text)
self.grade = grade
file = 'data.csv'
t = Text.from_file(file)
print(t.text)
print(type(t))
gt = GradedText.from_file(file)
print(gt.text, gt.grade)
print(type(gt))
02-python-vertiefung/folien-code/mymodule.py 0 → 100644
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'''This is my example module'''
__version__ = '1.3.4'
print('Hello Module')
def say_hello(name):
print('Hello', name)
\ No newline at end of file
02-python-vertiefung/folien-code/mypackage/__init__.py 0 → 100644
+ 1
− 0
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from mypackage.mymod import say_hello
02-python-vertiefung/folien-code/mypackage/mymod.py 0 → 100644
+ 3
− 0
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print('Hello Module')
def say_hello(name):
print('Hello', name)
\ No newline at end of file
02-python-vertiefung/folien-code/mypackage/subpackage/more.py 0 → 100644
+ 2
− 0
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def say_bye():
print('bye')
03-numpy-und-matplotlib/folien-code/autos.csv 0 → 100644
+ 616
− 0
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Marke,Modell,Grundpreis,Leistung_kW,Hubraum,Leergewicht,Verbrauch_kombi,Tueranzahl,Fahrzeugklasse
Bugatti,Chiron,2856000,1103,7993,2070,22.5,2,6
Koenigsegg,Agera RS,2112275,865,5032,1395,14.7,2,6
Lamborghini,Centenario LP770-4,2082500,566,6498,1520,16,2,6
Lamborghini,Centenario Roadster LP770-4,2082500,566,6498,1570,16,2,6
smart,forfour BRABUS,21225,80,898,1095,4.6,5,1
Abarth,595C,21090,107,1368,1150,6.5,2,1
Abarth,595,18490,107,1368,1110,6,3,1
VW,up! GTI,16975,85,999,1070,4.8,3,1
Opel,ADAM ROCKS 1.2,15780,51,1229,1086,5.3,3,1
Fiat,500C 1.2 8V,15190,51,1242,980,4.9,2,1
VW,cross up! 1.0 BMT,14500,55,999,1009,4.3,5,1
Fiat,Panda Cross 1.2 8V,13490,51,1242,1015,5.1,5,1
Opel,KARL ROCKS 1.0,12800,55,999,939,4.7,5,1
Peugeot,108 Top! 1.0 VTi 68,12600,51,998,915,4.1,3,1
Fiat,500 1.2 8V,12590,51,1242,940,4.9,3,1
Suzuki,Ignis 1.2,12540,66,1242,885,4.6,5,1
Citroen,C1 Airscape VTi 68,12400,51,998,915,4.1,3,1
Opel,ADAM 1.2,12135,51,1229,1086,5.3,3,1
smart,forfour 1.0,11765,52,999,975,4.2,5,1
Hyundai,i10 1.0,9990,49,998,1008,4.7,5,1
KIA,Picanto 1.0,9990,49,998,935,4.4,5,1
Peugeot,108 1.0 VT 68,9990,51,998,915,4.1,3,1
VW,up! 1.0,9975,44,999,926,4.4,3,1
Toyota,Aygo 1.0,9950,51,998,915,4.1,3,1
Fiat,Panda 1.2 8V,9850,51,1242,1015,5.1,5,1
Skoda,Citigo 1.0,9770,44,999,929,4.4,3,1
Renault,Twingo SCe 70,9750,51,999,939,5,5,1
Suzuki,Celerio 1.0,9690,50,998,880,4.3,5,1
Opel,KARL 1.0,9560,55,999,939,4.5,5,1
Citroen,C1 VTi 68,9090,51,998,915,4.1,3,1
SEAT,Mii 1.0,8990,44,999,929,4.4,3,1
MINI,John Cooper Works Cabrio,34300,170,1998,1385,6.5,2,2
Nissan,Juke Nismo RS,31915,157,1618,1469,7.3,5,2
Audi,S1 Sportback,31300,170,1984,1415,7.1,5,2
Toyota,Yaris GRMN,30800,156,1798,1135,7.5,5,2
MINI,John Cooper Works,30700,170,1998,1280,6.3,3,2
Audi,S1,30450,170,1984,1390,7,3,2
DS Automobiles,DS 3 Performance,26990,153,1598,1250,5.4,3,2
Opel,Corsa OPC,24930,152,1598,1293,7.5,3,2
Peugeot,208.,23990,153,1598,1235,5.4,3,2
VW,Polo GTI,23950,147,1984,1355,5.9,5,2
Renault,Clio R.S.,23390,147,1618,1279,5.9,5,2
MINI,One Cabrio,22500,75,1198,1280,5,2,2
Honda,HR-V 1.5 i-VTEC,20690,96,1498,1312,5.6,5,2
DS Automobiles,DS 3 Cabrio PureTech 82,19940,60,1199,1110,4.9,2,2
Jeep,Renegade 1.6 E-torQ,19900,81,1598,1395,6,5,2
Opel,Mokka X 1.6 Start&Stop,18990,85,1598,1355,6.7,5,2
Ford,EcoSport 1.0 EcoBoost,18590,92,998,1337,5.2,5,2
Citroen,C3 Picasso VTi 95,18190,70,1397,1276,5.9,5,2
Hyundai,i20 Coupee 1.0 T-GDI,18100,88,998,1145,4.8,3,2
Ford,EcoSport 1.5 Ti-VCT,17990,82,1498,1314,6.3,5,2
Mazda,CX-3 SKYACTIV-G 120,17990,88,1998,1230,5.9,5,2
Suzuki,Vitara 1.6,17990,88,1586,1150,5.3,5,2
Peugeot,2008 PureTech 82,17550,60,1199,1120,4.9,5,2
Hyundai,Kona 1.0 T-GDI,17500,88,998,1233,5.2,5,2
MINI,One First,17350,55,1198,1225,5.2,5,2
Hyundai,i20 Active 1.0 T-GDI blue,17300,74,998,1160,4.5,5,2
KIA,Soul 1.6 GDI,17240,97,1591,1275,6.5,5,2
Audi,A1 Sportback 1.0 TFSI ultra,17100,60,999,1135,4.2,5,2
Fiat,500L 1.4 16V,16990,70,1368,1330,6.2,5,2
Fiat,500L Wagon 1.4 16V,16990,70,1368,1350,6.1,5,2
Opel,Crossland X 1.2,16990,60,1199,1136,5.2,5,2
Ford,B-MAX 1.4,16800,66,1388,1275,6,5,2
Honda,Jazz 1.3 i-VTEC,16640,75,1318,1138,5,5,2
Fiat,500L Urban 1.4 16V,16490,70,1368,1320,6.1,5,2
MINI,One First,16400,55,1198,1165,5.1,3,2
Fiat,500X 1.6 E-torQ,16290,81,1598,1350,6.4,5,2
Audi,A1 1.0 TFSI ultra,16250,60,999,1110,4.2,3,2
DS Automobiles,DS 3 PureTech 82,15990,60,1199,1049,4.6,3,2
Nissan,Juke 1.6,15990,69,1598,1163,6,5,2
SEAT,Arona 1.0 EcoTSI,15990,70,999,1165,4.9,5,2
SsangYong,Tivoli 1.6 e-XGi 160,15990,94,1597,1270,6.6,5,2
Renault,Captur ENERGY TCe 90,15890,66,898,1259,5.1,5,2
Hyundai,ix20 1.4 blue,15790,66,1396,1253,5.6,5,2
KIA,Stonic 1.2,15790,62,1248,1145,5.2,5,2
Alfa Romeo,MiTo 1.4 8V,15700,57,1368,1155,5.6,3,2
Suzuki,Jimny 1.3,15590,62,1328,1135,7.1,3,2
Citroen,C3 Aircross PureTech 82,15290,60,1199,1163,5.1,5,2
Ford,Tourneo Courier 1.0 EcoBoost,15260,74,998,1260,5.3,5,2
Ford,Transit Courier Kombi 1.0 EcoBoost,15220,74,998,1260,5.3,4,2
Fiat,Fiorino Kombi 1.4 8V,15161,57,1368,1255,6.9,4,2
KIA,Venga 1.4,14890,66,1396,1253,6,5,2
Citroen,C4 Cactus PureTech 75,13990,55,1199,1040,4.6,5,2
Suzuki,Swift 1.2 Dualjet,13790,66,1242,915,4.3,5,2
Suzuki,Baleno 1.2 Dualjet,13790,66,1242,940,4.2,5,2
Skoda,Fabia Combi 1.0 MPI,13450,55,999,1104,4.8,5,2
Nissan,Micra 1.0,12990,52,998,977,4.6,5,2
Renault,Clio Grandtour 1.2 16V 75,12990,54,1149,1141,5.6,5,2
VW,Polo 1.0 MPI,12975,48,999,1105,4.7,5,2
Ford,Fiesta 1.1,12950,51,1084,1108,4.7,3,2
Mazda,2 SKYACTIV-G 75,12890,55,1496,1045,4.7,5,2
Fiat,Punto 1.2 8V,12790,51,1242,1105,5.4,5,2
Peugeot,208 1.2 PureTech 68,12750,50,1199,1035,4.7,3,2
Toyota,Yaris 1.0,12540,51,998,1055,4.3,3,2
Fiat,Qubo 1.4 8V,12490,57,1368,1255,6.9,5,2
SEAT,Ibiza 1.0 MPI,12490,48,999,1091,4.9,5,2
Skoda,Fabia 1.0 MPI,12150,44,999,1080,4.8,5,2
Opel,Corsa 1.2,12135,51,1229,1120,5.4,3,2
Hyundai,i20 1.2,12015,55,1248,1055,5.1,5,2
Citroen,C3 PureTech 68,11990,50,1199,1051,4.7,5,2
Renault,Clio 1.2 16V 75,11990,54,1149,1134,5.6,5,2
KIA,Rio 1.2,11690,62,1248,1110,4.8,5,2
Lada,Kalina Cross 1.6 8V,10200,64,1596,1110,6.6,5,2
Dacia,Sandero Stepway TCe 90 Start&Stop,9990,66,898,1115,5.1,5,2
Ford,Ka+ 1.2 Ti-VCT,9990,51,1198,1055,5,5,2
Mitsubishi,Space Star 1.0,9290,52,999,920,4.2,5,2
Lada,Kalina Kombi 1.6 8V,8260,64,1596,1110,6.6,5,2
Lada,Kalina 1.6 8V,7460,64,1596,1080,6.6,5,2
Dacia,Sandero SCe 75,6990,54,998,1044,5.2,5,2
smart,fortwo cabrio BRABUS,23675,80,898,1040,4.6,2,1
smart,fortwo Coupee BRABUS,20415,80,898,995,4.5,3,1
smart,fortwo cabrio 1.0,14365,52,999,940,4.3,2,1
smart,fortwo Coupee 1.0,11105,52,999,890,4.1,3,1
Morgan,Aero Supersports 4.8 V8,168000,270,4799,1220,11.2,2,4
BMW,M3 CS,117600,338,2979,1660,8.3,4,4
BMW,M4 CS Coupee,116900,338,2979,1655,8.4,2,4
Lotus,Evora 400,96000,298,3456,1415,9.7,2,4
Alfa Romeo,Stelvio Quadrifoglio,89000,375,2891,1905,9,5,4
Porsche,Macan Turbo,84586,294,3604,2000,9,5,4
BMW,M4 Cabrio,84500,317,2979,1825,9.1,2,4
BMW Alpina,B4 S Bi-Turbo Cabrio,81400,324,2979,1915,8.3,2,4
Audi,RS5 Coupee,80900,331,2894,1730,8.7,2,4
Audi,RS4 Avant,79800,331,2894,1790,8.8,5,4
BMW,M4 Coupee,78200,317,2979,1572,8.8,2,4
BMW,M3,77500,317,2979,1595,8.8,4,4
Lexus,RC F,75900,351,4969,1840,10.8,3,4
BMW Alpina,B4 S Bi-Turbo Coupee,75300,324,2979,1690,7.9,2,4
Lotus,Exige Coupee,75200,258,3456,1110,10.1,2,4
Lotus,Exige Roadster,75200,258,3456,1110,10.1,2,4
Porsche,Macan GTS,74828,265,2997,1970,8.9,5,4
BMW Alpina,B3 S Bi-Turbo Touring,74700,324,2979,1780,8.1,5,4
BMW Alpina,B3 S Bi-Turbo,72900,324,2979,1705,7.9,4,4
Alfa Romeo,Giulia Quadrifoglio,72800,375,2891,1670,8.5,4,4
Cadillac,ATS-V Coupee,72500,346,3564,1775,11.4,3,4
Alfa Romeo,4C Spider,72000,177,1742,1015,6.9,2,4
Cadillac,ATS-V,69900,346,3564,1775,11.6,4,4
Audi,TT RS Roadster,69200,294,2480,1605,8.3,2,4
Mercedes,C 43 AMG Cabriolet,68455,270,2996,1870,8.3,2,4
Audi,S5 Cabriolet,68050,260,2995,1915,7.9,2,4
Morgan,Roadster 3.7 V6,68000,209,3721,950,9.8,2,4
Audi,TT RS Coupee,66400,294,2480,1515,8.2,3,4
Mercedes,GLC Coupee 43 AMG,65807,270,2996,1855,8.4,5,4
Audi,SQ5 TFSI,65400,260,2995,1945,8.3,5,4
Alfa Romeo,4C,63500,177,1742,970,6.8,2,4
Audi,S5 Sportback,62750,260,2995,1735,7.5,5,4
Audi,S5 Coupee,62750,260,2995,1690,7.5,2,4
Mercedes,GLC 43 AMG,62178,270,2996,1845,8.3,5,4
Audi,S4 Avant,61900,260,2995,1750,7.7,5,4
Mercedes,C 43 AMG T-Modell,61850,270,2996,1735,7.9,5,4
Mercedes,C 43 AMG Coupee,61761,270,2996,1735,7.8,2,4
Mercedes,C 43 AMG,60184,270,2996,1690,7.8,4,4
Audi,S4,60050,260,2995,1705,7.5,4,4
Mercedes,SLC 43 AMG,60036,270,2996,1595,7.8,2,4
Alpine,A110,58000,185,1798,1178,6.1,2,4
Land Rover,Range Rover Velar P250,56400,184,1998,1804,7.6,5,4
Porsche,Macan,56264,185,1984,1845,7.2,5,4
Audi,TTS Roadster,53350,228,1984,1525,7.3,2,4
Jaguar,F-Pace 25t,51160,184,1997,1760,7.4,5,4
Audi,TTS Coupee,50550,228,1984,1440,7.1,3,4
Audi,Q5 2.0 TFSI,50500,185,1984,1795,6.8,5,4
BMW,X4 xDrive20i,49850,135,1997,1810,7.2,5,4
Mercedes,GLC Coupee 250,49837,155,1991,1785,6.9,5,4
Opel,Insignia Sports Tourer GSi 2.0 DI Turbo Start&Stop,48800,191,1998,1716,8.7,5,4
Audi,A4 Allroad 2.0 TFSI,48750,185,1984,1655,6.4,5,4
Volvo,XC60 T5,48650,184,1969,1915,7.4,5,4
Jeep,Cherokee 3.2 V6 Pentastar,48000,200,3239,2036,9.6,5,4
Opel,Insignia Grand Sport GSi 2.0 DI Turbo Start&Stop,47800,191,1998,1683,8.6,5,4
BMW,420i Cabrio,47700,135,1998,1775,6.2,2,4
Volvo,S60 Cross Country T5,47050,180,1969,1722,7.4,4,4
Nissan,370Z Nismo,46880,253,3696,1496,10.6,3,4
Volvo,V60 Cross Country T5,45950,180,1969,1776,7.4,5,4
Land Rover,Discovery Sport Si4,45750,177,1998,1796,8,5,4
Mercedes,GLC 250,45315,155,1991,1735,6.5,5,4
Infiniti,Q50 2.0t,44900,155,1991,1587,6.3,4,4
Jeep,Wrangler Unlimited 3.6 V6,44900,209,3604,1995,11.4,5,4
Infiniti,Q60 2.0t,44500,155,1991,1722,6.8,2,4
BMW,X3 xDrive20i,44400,135,1998,1790,7.1,5,4
Audi,A5 Cabriolet 2.0 TFSI,44000,140,1984,1675,5.9,2,4
KIA,Stinger 2.0 T-GDI,43990,188,1998,1717,7.9,5,4
VW,Passat Alltrack 2.0 TSI BMT,43925,162,1984,1677,6.9,5,4
Morgan,4/4 1.8 16V,43009,82,1595,800,8.2,2,4
Mercedes,C 180 Cabriolet,42727,115,1595,1600,6,2,4
Infiniti,Q50 2.0t,42500,155,1991,1585,6.3,4,4
Alfa Romeo,Stelvio 2.0 Turbo 16V,42200,147,1995,1735,7,5,4
Jeep,Wrangler 3.6 V6,41900,209,3604,1828,11,3,4
Renault,Espace ENERGY TCe 225,40900,165,1798,1685,6.8,5,4
BMW,420i Coupee,40400,135,1998,1550,5.8,2,4
BMW,420i Gran Coupee,40400,135,1998,1595,5.8,5,4
Cadillac,ATS Coupee 2.0 Turbo,40400,203,1998,1591,7.7,3,4
BMW,320i Gran Turismo,40200,135,1998,1655,6.1,5,4
Nissan,370Z Roadster,40130,241,3696,1496,11.2,2,4
DS Automobiles,DS 7 Crossback PureTech 225,38990,165,1598,1500,5.9,5,4
Alfa Romeo,Giulia 2.0 Turbo 16V,38500,147,1995,1504,6,4,4
Audi,A5 Sportback 2.0 TFSI,38050,140,1984,1505,5.8,5,4
Audi,A5 Coupee 2.0 TFSI,38050,140,1984,1465,5.6,2,4
Cadillac,ATS 2.0 Turbo,37400,203,1998,1593,7.6,4,4
Jaguar,XE 20t,36960,147,1997,1540,6.3,4,4
Subaru,Outback 2.5i,36900,129,2498,1582,7,5,4
Mercedes,C 180 Coupee,36033,115,1595,1475,5.3,2,4
Audi,TT Roadster 1.8 TFSI,35550,132,1798,1375,5.9,2,4
Mercedes,SLC 180,35349,115,1595,1435,5.6,2,4
Skoda,Kodiaq Scout 1.4 TSI ACT,35050,110,1395,1610,6.8,5,4
Opel,Insignia Country Tourer 1.5 DI Turbo Start&Stop,34885,121,1490,1522,6.4,5,4
BMW,318i Touring,34550,100,1499,1545,5.4,5,4
DS Automobiles,DS 5 THP 165 Stop&Start,34390,121,1598,1504,5.9,5,4
Nissan,370Z Coupee,34130,241,3696,1496,10.6,3,4
Audi,A4 Avant 1.4 TFSI,33700,110,1395,1445,5.4,5,4
Mercedes,C 160 T-Modell,33534,95,1595,1470,5.4,5,4
VW,Sharan 1.4 TSI BMT,33325,110,1395,1703,6.4,5,4
Ford,Galaxy 1.5 EcoBoost Start/Stopp,33310,118,1498,1708,6.5,5,4
Audi,TT Coupee 1.8 TFSI,33150,132,1798,1285,5.8,3,4
BMW,318i,32850,100,1499,1475,5.1,4,4
Subaru,BRZ 2.0i,32400,147,1998,1243,7.8,2,4
Skoda,Octavia Scout 1.8 TSI,32110,132,1798,1522,6.8,5,4
Volvo,V60 T2,32100,90,1498,1680,5.9,5,4
Mercedes,C 160,31868,95,1595,1395,5.2,4,4
Audi,A4 1.4 TFSI,31850,110,1395,1395,5.2,4,4
Skoda,Octavia Combi RS,31590,169,1984,1442,6.5,5,4
Hyundai,Santa Fe 2.4 GDI,31190,138,2359,1708,9.4,5,4
Skoda,Octavia RS,30890,169,1984,1420,6.5,5,4
Peugeot,508 SW THP 165 STOP&START,30850,121,1598,1495,5.8,5,4
Renault,Talisman Grandtour Energy TCe 150,30800,110,1618,1565,5.8,5,4
Volvo,S60 T2,30500,90,1498,1632,5.8,4,4
SEAT,Alhambra 1.4 TSI Start&Stop,30435,110,1395,1703,6.4,5,4
Ford,S-MAX 1.5 EcoBoost Start/Stopp,30400,118,1498,1645,6.5,5,4
Subaru,Levorg 1.6 Turbo,29990,125,1600,1537,6.9,5,4
Toyota,GT86 2.0,29990,147,1998,1305,7.8,2,4
VW,Tiguan Allspace 1.4 TSI ACT,29975,110,1395,1570,6.1,5,4
Peugeot,508 THP 165 STOP&START,29800,121,1598,1475,5.8,4,4
Renault,Talisman Energy TCe 150,29800,110,1618,1505,5.6,4,4
Toyota,RAV4 2.0,27990,112,1987,1565,6.7,5,4
VW,Passat Variant 1.4 TSI BMT,27875,92,1395,1394,5.3,5,4
Opel,Cascada 1.4 Turbo,27545,88,1364,1701,6.7,2,4
Ford,Mondeo Turnier 1.0 EcoBoost,26990,92,998,1476,5.3,5,4
VW,Passat 1.4 TSI BMT,26800,92,1395,1367,5.3,4,4
Opel,Insignia Sports Tourer 1.5 DI Turbo Start&Stop,26730,103,1490,1487,6,5,4
Skoda,Kodiaq 1.4 TSI,26150,92,1395,1502,6,5,4
Ford,Mondeo 1.0 EcoBoost,25990,92,998,1455,5.2,5,4
KIA,Optima Sportswagon 2.0,25990,120,1999,1550,7.6,5,4
Subaru,Forester 2.0X,25900,110,1995,1478,6.9,5,4
Mazda,6 SKYACTIV-G 145 i-ELOOP,25890,107,1998,1375,5.5,4,4
Mazda,6 Kombi SKYACTIV-G 145 i-ELOOP,25890,107,1998,1380,5.6,5,4
Toyota,Avensis Touring Sports 1.6,25740,97,1598,1460,6.2,5,4
Opel,Insignia Grand Sport 1.5 DI Turbo Start&Stop,25630,103,1490,1441,5.9,5,4
Hyundai,i40 Kombi 1.6 GDI blue,25490,99,1591,1503,6.1,5,4
Nissan,X-Trail 1.6 DIG-T,25440,120,1618,1505,6.2,5,4
KIA,Optima 2.0,25090,120,1999,1530,7.4,4,4
Nissan,X-Trail 1.6 DIG-T,24990,120,1618,1505,6.2,5,4
Peugeot,5008 1.2 PureTech 130,24900,96,1199,1385,5.1,5,4
Toyota,Avensis 1.6,24740,97,1598,1430,6.1,4,4
Honda,CR-V 2.0,23990,114,1997,1531,7.2,5,4
Mitsubishi,Outlander 2.0 ClearTec,21990,110,1998,1497,6.7,5,4
Nissan,Evalia 16V 110,20690,81,1598,1386,7.3,5,4
Nissan,NV200 Kombi 16V 110,19921,81,1598,1351,7.3,5,4
Skoda,Octavia Combi 1.2 TSI,18150,63,1197,1247,4.8,5,4
Skoda,Octavia 1.2 TSI,17450,63,1197,1225,4.8,5,4
Nissan,GT-R Nismo,184950,441,3799,1800,11.8,3,5
Jaguar,F-Type SVR Cabriolet 5.0 V8 Kompressor,146400,423,5000,1720,11.3,2,5
Jaguar,F-Type SVR Coupee 5.0 V8 Kompressor,139400,423,5000,1705,11.3,3,5
Porsche,Cayenne Turbo,138850,404,3996,2250,11.9,5,5
Porsche,Cayenne Turbo,132781,382,4806,2260,11.2,5,5
BMW,X6 M,124200,423,4395,2265,11.1,5,5
Mercedes,CLS 63 AMG Shooting Brake,122630,410,5461,2025,10.6,5,5
Audi,RS7 performance cod Sportback,122200,445,3993,2005,9.5,5,5
BMW,X5 M,120700,423,4395,2350,11.1,5,5
BMW,M5,117900,441,4395,1930,10.5,4,5
Mercedes,CLS 63 AMG Coupee,116918,410,5461,1870,9.9,4,5
BMW Alpina,B5 Bi-Turbo Touring,115300,447,4395,2120,10.4,5,5
Audi,RS6 cod Avant,112000,412,3993,2025,9.8,5,5
BMW Alpina,B5 Bi-Turbo,112000,447,4395,2015,10.3,4,5
Porsche,Cayenne GTS,102555,324,3604,2185,9.8,5,5
Lexus,GS F,100500,351,4969,1865,11.2,4,5
Nissan,GT-R,99900,419,3799,1827,11.8,3,5
Cadillac,CTS-V,98900,477,6162,1925,13,4,5
Dodge,Charger SRT 392,85900,362,6417,2000,15.5,4,5
Audi,S7 cod Sportback,84600,331,3993,2030,9.3,5,5
Dodge,Challenger SRT 392,82900,362,6417,2000,15.5,2,5
Audi,S6 cod Avant,80150,331,3993,2035,9.4,5,5
Mercedes,E 43 AMG T-Modell,78177,295,2996,1930,8.6,5,5
Porsche,718 Boxster GTS,78160,269,2497,1450,9,2,5
Audi,S6 cod,77650,331,3993,1970,9.2,4,5
Mercedes,GLE Coupee 43 AMG,77469,270,2996,2240,8.9,5,5
Porsche,718 Cayman GTS,76137,269,2497,1450,9,2,5
Maserati,Levante,76000,257,2979,2109,10.7,4,5
Mercedes,E 43 AMG,75387,295,2996,1840,8.2,4,5
Porsche,Cayenne,74828,250,2995,1985,9,5,5
BMW,X6 xDrive35i,72000,225,2979,2100,8.5,5,5
Mercedes,GLE 43 AMG,70746,270,2996,2180,8.6,5,5
Maserati,Ghibli,70250,257,2979,1810,8.9,4,5
Maserati,Ghibli,69200,243,2979,1810,8.9,4,5
Mercedes,GLE Coupee 400,68306,245,2996,2180,8.7,5,5
BMW,X5 xDrive35i,66400,225,2979,2105,8.5,5,5
Jaguar,F-Type Cabriolet P300,66200,221,1997,1545,7.2,2,5
Mercedes,CLS 400 Shooting Brake,65212,245,3498,1845,7.3,5,5
Mercedes,CLS 400 Coupee,63427,245,3498,1775,7.4,4,5
BMW,630i Gran Turismo,62300,190,1998,1720,6.2,5,5
Dodge,RAM 1500 Quad Cab 5.7 V8,61900,295,5700,2556,12.8,4,5
Mercedes,GLE 400,61583,245,2996,2130,8.5,5,5
Infiniti,Q70 3.7,60750,235,3696,1826,10.8,4,5
Volvo,XC90 T5,59850,184,1969,2112,7.8,5,5
Jaguar,F-Type Coupee P300,59200,221,1997,1525,7.2,3,5
Volvo,V90 Cross Country T5,57800,184,1969,1937,7.3,5,5
Porsche,718.,54717,220,1988,1410,7.4,2,5
Land Rover,Discovery Si4,54700,221,1997,2093,9.4,5,5
Mercedes,E 200 Cabriolet,54228,135,1991,1755,6.2,3,5
Infiniti,QX70 3.7,53800,235,3696,2012,12.1,5,5
Porsche,718.,52694,220,1988,1410,7.4,2,5
Jeep,Grand Cherokee 3.6 V6,51900,213,3604,2266,10,5,5
Jaguar,XF Sportbrake 25t,51060,184,1997,1760,6.8,5,5
Lexus,RX 200t,49900,175,1998,1885,7.8,5,5
Cadillac,XT5 3.6 V6,49300,231,3649,1954,10,5,5
BMW,520i Touring,49100,135,1998,1705,5.8,5,5
Mercedes,E 200 T-Modell,48903,135,1991,1705,6.2,5,5
Chevrolet,Camaro Cabriolet 2.0 Turbo,48000,202,1998,1659,8.1,2,5
BMW,520i,46600,135,1998,1605,5.4,4,5
Mercedes,E 200 Coupee,46494,135,1991,1645,6.5,3,5
Cadillac,CTS 2.0 Turbo,45350,203,1998,1659,7.8,4,5
Audi,A6 Avant 1.8 TFSI ultra,45200,140,1798,1710,5.9,5,5
Jaguar,XF 20t,45060,147,1997,1635,6.8,4,5
Volvo,V90 T4,44900,140,1969,1851,6.9,5,5
VW,T6 California 2.0 TSI BMT,44833,110,1984,2264,9.5,4,5
Ford,Mustang Convertible 2.3 EcoBoost,43500,213,2261,1715,9.1,2,5
Volvo,S90 T4,43450,140,1969,1800,6.7,4,5
Mercedes,E 200,43019,135,1991,1575,6.1,4,5
Audi,A6 1.8 TFSI ultra,42700,140,1798,1645,5.7,4,5
Ford,Mustang Convertible 2.3 EcoBoost,42500,233,2261,1715,8.2,2,5
Chevrolet,Camaro Coupee 2.0 Turbo,40400,202,1998,1539,8,2,5
Ford,Mustang Fastback 2.3 EcoBoost,39000,213,2261,1655,9,2,5
VW,T6 Caravelle 2.0 TSI BMT,38645,110,1984,1862,9.1,4,5
Ford,Mustang Fastback 2.3 EcoBoost,38000,233,2261,1655,8,2,5
VW,T6 Multivan 2.0 TSI BMT,36902,110,1984,2007,9.2,4,5
VW,Arteon 1.5 TSI ACT,35325,110,1498,1504,5.1,5,5
VW,T6 Transporter Kombi 2.0 TSI BMT Normaldach,33832,110,1984,1862,9.1,4,5
Skoda,Superb Combi 1.4 TSI,26750,92,1395,1395,5.6,5,5
Skoda,Superb 1.4 TSI,25750,92,1395,1375,5.6,5,5
Mercedes,Maybach G 650,749700,463,5980,2580,17,5,6
Ford,GT,500000,475,3497,1385,14.9,2,6
Rolls-Royce,Phantom 6.8 V12,446250,420,6749,2560,13.9,4,6
Lamborghini,Aventador S Roadster LP740-4,373262,544,6498,1625,16.9,2,6
Mercedes,Maybach S 650 Cabriolet,357000,463,5980,2115,12,2,6
Lamborghini,Aventador S LP740-4,335055,544,6498,1575,16.9,2,6
Rolls-Royce,Dawn 6.6 V12,329630,420,6592,2560,14.2,2,6
Bentley,Mulsanne,297191,377,6752,2685,15,4,6
Bentley,Continental Supersports Convertible,291253,522,5998,2455,15.9,2,6
Rolls-Royce,Wraith 6.6 V12,285898,465,6592,2435,14.3,2,6
Porsche,911 GT2 RS,285220,515,3800,1545,11.8,2,6
Ferrari,812.,282934,588,6496,1630,14.9,2,6
Rolls-Royce,Ghost 6.6 V12,277657,420,6592,2435,14.3,4,6
Aston Martin,Vanquish Volante,268995,424,5935,1919,12.8,3,6
Bentley,Continental Supersports,264775,522,5998,2280,15.7,2,6
Mercedes,S 65 AMG Cabriolet,257457,463,5980,2255,12,2,6
Aston Martin,Vanquish,253995,424,5935,1814,12.8,3,6
McLaren,720S,247350,527,3994,1322,10.7,2,6
Ferrari,F488 Spider,236750,493,3902,1525,11.4,2,6
Mercedes,G 500 4x4,231693,310,3982,3021,13.8,5,6
Ferrari,GTC4Lusso T,226246,449,3855,1870,11.6,2,6
Ferrari,F488 GTB,212653,493,3902,1475,11.4,2,6
McLaren,570S Spider,208975,419,3799,1573,10.7,2,6
Bentley,Bentayga W12,208488,447,5950,2440,12.8,5,6
Lamborghini,Urus,204000,478,3996,2200,12.7,5,6
Aston Martin,DB11 Volante V8,199000,375,3982,1870,9.9,3,6
Bentley,Continental GT W12,198492,467,5950,2244,12.2,2,6
Lamborghini,Huracn Spyder LP580-2,196350,426,5204,1509,12.1,2,6
McLaren,570GT,195350,419,3799,1515,10.7,2,6
Aston Martin,Rapide S,193995,411,5935,2065,12.9,5,6
Aston Martin,V12 Vantage S Roadster,192741,421,5935,1745,14.7,3,6
Bentley,Continental GT Convertible V8,192066,373,3993,2470,10.9,2,6
Porsche,911 Turbo Cabriolet,190020,397,3800,1740,9.3,2,6
Mercedes,S 63 AMG Cabriolet,190013,430,5461,2185,10.4,2,6
Porsche,911.,189544,368,3996,1445,13.3,2,6
McLaren,570S,185400,419,3799,1515,10.7,2,6
Ferrari,California T,184689,412,3855,1730,10.7,2,6
Aston Martin,DB11 V8,184000,375,3982,1760,9.9,3,6
Bentley,Flying Spur V8,183855,373,3993,2417,10.9,4,6
Donkervoort,D8 GTO-RS,182070,284,2480,695,8,2,6
Aston Martin,V12 Vantage S,179950,421,5935,1680,17,3,6
Lamborghini,Huracn LP580-2,178500,426,5204,1389,11.9,2,6
Mercedes,S 63 AMG Coupee,177310,450,3982,2080,9.3,2,6
Porsche,911 Turbo Coupee,176930,397,3800,1670,9.1,2,6
Mercedes,S 63 AMG Coupee,175436,430,5461,2070,10.1,2,6
Bentley,Continental GT V8,174573,373,3993,2370,10.6,2,6
McLaren,540C,163200,397,3799,1446,10.7,2,6
Mercedes,SL 63 AMG,161959,430,5461,1845,9.8,2,6
Mercedes,S 63 AMG,160293,450,3982,2070,8.9,4,6
Porsche,Panamera Sport Turismo Turbo,158604,404,3996,2110,9.4,5,6
Porsche,Panamera Turbo,155748,404,3996,2070,9.3,5,6
Audi,R8 Spyder 5.2 FSI V10,153000,397,5204,1755,12.6,2,6
Porsche,911.,152416,368,3996,1488,12.9,2,6
BMW Alpina,B7 Bi-Turbo,149400,447,4395,2110,10.4,4,6
Porsche,911.,146228,331,2981,1660,9.7,2,6
Mercedes,G 63 AMG,145359,420,5461,2550,13.8,5,6
Maserati,GranCabrio Sport,144320,338,4691,1980,14.5,2,6
Jaguar,XJR575,143900,423,5000,1875,11.1,4,6
Mercedes,S 500 Cabriolet,140545,335,4663,2115,8.5,2,6
Audi,R8 Coupee 5.2 FSI V10,140000,397,5204,1665,12.4,2,6
Mercedes,Maybach S 560,139700,345,3982,2240,8.8,4,6
Porsche,911 Carrera Cabriolet,138850,331,2981,1595,9.4,2,6
Donkervoort,D8 GTO-S,138040,254,2480,740,8,2,6
BMW,M6 Cabrio,137200,412,4395,2055,10.3,2,6
BMW Alpina,B6 Bi-Turbo Cabriolet,137200,441,4395,2095,9.6,2,6
BMW Alpina,B6 Bi-Turbo Gran Coupee,135800,441,4395,2030,10.4,4,6
Aston Martin,V8 Vantage S Roadster,135520,321,4735,1710,13.8,2,6
Mercedes,GLS 63 AMG,135482,430,5461,2580,12.3,5,6
BMW,M6 Gran Coupee,134500,412,4395,1950,9.9,4,6
Land Rover,Range Rover Sport SVR,132200,423,5000,2310,12.8,5,6
BMW,M6 Coupee,129600,412,4395,1925,9.9,2,6
Land Rover,Range Rover Sport SVR,129600,405,5000,2330,12.8,5,6
BMW Alpina,B6 Bi-Turbo Coupee,129200,441,4395,1940,9.4,2,6
Mercedes,AMG GT Roadster,129180,350,3982,1670,9.4,2,6
Maserati,GranTurismo Sport,129020,338,4691,1880,14.3,2,6
Aston Martin,V8 Vantage AMR,126995,320,4735,1610,13.8,3,6
Porsche,911 Carrera Coupee,125760,331,2981,1525,9.4,2,6
Chevrolet,Corvette Z06 Cabriolet,124700,485,6162,1734,12.7,2,6
Land Rover,Range Rover 5.0 V8 SC,121800,375,5000,2336,12.8,5,6
Chevrolet,Corvette Z06 Coupee,119700,485,6162,1734,12.7,3,6
Audi,S8 cod,118500,382,3993,2050,9.4,4,6
Porsche,911.,118382,272,2981,1645,8.9,2,6
Mercedes,AMG GT Coupee,117280,350,3982,1615,9.3,2,6
Porsche,911 Carrera Cabriolet,111004,272,2981,1575,8.5,2,6
Porsche,911 Carrera T Coupee,107553,272,2981,1500,9.5,2,6
Mercedes,G 500,106701,310,3982,2595,12.3,5,6
Audi,A8 4.0 TFSI cod,104400,320,3993,1955,8.9,4,6
Mercedes,S 450 Coupee,101656,270,2996,2050,8.9,2,6
Chevrolet,Corvette Grand Sport Cabriolet 6.2 V8,100900,343,6162,1614,12.3,2,6
Mercedes,S 400 Coupee,100561,270,2996,2035,8.3,2,6
Cadillac,Escalade 6.2 V8,99900,313,6162,2710,12.6,5,6
Mercedes,SL 400,99341,270,2996,1735,7.7,2,6
Porsche,911 Carrera Coupee,97914,272,2981,1505,8.3,2,6
Porsche,Panamera Sport Turismo 4,97557,243,2995,1955,7.8,5,6
Maserati,Quattroporte,97430,257,2979,1860,9.1,4,6
Chevrolet,Corvette Grand Sport Coupe 6.2 V8,95900,343,6162,1588,12.3,3,6
Land Rover,Range Rover Sport 5.0 V8 SC,94900,375,5000,2306,12.8,5,6
Jaguar,XJ 3.0 V6 Kompressor,93800,250,2995,1865,9.8,4,6
BMW,740i,93000,240,2998,1800,6.8,4,6
Mercedes,S 450,92255,270,2987,1995,6.6,4,6
Porsche,Panamera,90655,243,2995,1890,7.5,5,6
BMW,640i Cabrio,90600,235,2979,1895,7.7,2,6
Chevrolet,Corvette Stingray Cabriolet 6.2 V8,85400,343,6162,1664,12.3,2,6
BMW,640i Gran Coupe,83900,235,2979,1825,7.6,4,6
BMW,640i Coupe,81900,235,2979,1760,7.6,2,6
Chevrolet,Corvette Stingray Coupe 6.2 V8,80400,343,6162,1614,12.3,3,6
Mercedes,GLS 400,77029,245,2996,2435,8.9,5,6
Cadillac,CT6 3.0 V6,73500,307,2997,1879,9.6,4,6
Land Rover,Range Rover Sport 2.0 Si4,65600,221,1997,2083,9.2,5,6
Land Rover,Range Rover Evoque Coupe Si4,62200,213,1998,1833,7.6,3,3
BMW,M2 Coupe,59500,272,2979,1570,8.5,2,3
Mercedes,CLA 45 AMG Shooting Brake,57804,280,1991,1615,6.9,5,3
Mercedes,CLA 45 AMG,57209,280,1991,1585,6.9,4,3
Mercedes,GLA 45 AMG,56852,280,1991,1585,7.4,5,3
Audi,RS3 Limousine,55900,294,2480,1590,8.3,4,3
Land Rover,Range Rover Evoque Cabriolet Si4,55300,177,1998,2013,8.2,2,3
Audi,RS3 Sportback,54600,294,2480,1585,8.3,5,3
Mercedes,A 45 AMG,51527,280,1991,1555,6.9,5,3
Audi,S3 Cabriolet,51150,228,1984,1710,6.7,2,3
VW,Golf R Variant,45350,228,1984,1593,7.1,5,3
Subaru,Impreza WRX STi 2.5,44500,221,2457,1527,10.9,4,3
Land Rover,Range Rover Evoque Si4,43850,177,1998,1752,8.2,5,3
Audi,S3 Limousine,43250,228,1984,1505,7,4,3
Audi,S3 Sportback,42350,228,1984,1505,7,5,3
Jaguar,E-Pace P250,42350,183,1998,1832,7.7,5,3
Subaru,Impreza WRX STi 2.5,41550,221,2457,1575,10.4,4,3
Audi,S3,41450,228,1984,1480,7,3,3
VW,Golf R,41175,228,1984,1483,7.8,3,3
Ford,Focus RS,40675,257,2261,1560,7.7,5,3
Infiniti,QX30 2.0t,40150,155,1991,1542,6.7,5,3
Lotus,Elise,39900,100,1598,876,6.3,2,3
MINI,John Cooper Works Countryman,39500,170,1998,1615,7.4,5,3
BMW,X2 sDrive20i,39200,141,1998,1535,5.5,5,3
MINI,John Cooper Works Clubman,36800,170,1998,1550,7.4,5,3
Opel,Astra OPC,36360,206,1998,1550,7.8,3,3
Honda,Civic Type R,36050,235,1996,1380,7.7,5,3
SEAT,Leon ST Cupra 300,35930,221,1984,1440,7,5,3
Peugeot,308.,35350,200,1598,1280,6,5,3
SEAT,Leon Cupra 300,34730,221,1984,1395,6.9,5,3
SEAT,Leon SC Cupra 300,34340,221,1984,1375,6.9,3,3
VW,Touran 1.2 TSI BMT,34300,81,1197,1436,5.5,5,3
BMW,218i Cabrio,34200,100,1499,1575,5.5,2,3
VW,Golf Alltrack 1.8 TSI BMT,34125,132,1798,1537,6.7,5,3
Mazda,CX-5 SKYACTIV-G 160,32190,118,1998,1495,6.8,5,3
BMW,X1 sDrive18i,31700,103,1499,1475,5.5,5,3
Audi,A3 Cabriolet 1.4 TFSI,31450,85,1395,1430,5.3,2,3
Volvo,XC40 T3,31350,114,1498,1725,6.8,5,3
Ford,Focus Turnier ST 2.0 EcoBoost Start/Stopp,30550,184,1999,1461,6.8,5,3
VW,Golf GTI,30425,169,1984,1364,6.4,3,3
Mercedes,CLA 180 Shooting Brake,30274,90,1595,1430,5.5,5,3
Mazda,MX-5 RF SKYACTIV-G 160,29890,118,1998,1120,6.9,2,3
BMW,218i Coupe,29750,100,1499,1420,5.1,2,3
Hyundai,i30 N,29700,184,1998,1475,7,5,3
Mercedes,CLA 180,29679,90,1595,1395,5.4,4,3
Ford,Focus ST 2.0 EcoBoost Start/Stopp,29600,184,1999,1437,6.8,5,3
Mercedes,GLA 180,28941,90,1595,1395,5.7,5,3
Audi,Q3 1.4 TFSI,28700,92,1395,1460,5.8,5,3
BMW,216i Gran Tourer,28600,75,1499,1475,5.3,5,3
Volvo,V40 Cross Country T3,28280,112,1969,1569,5.6,5,3
BMW,216i Active Tourer,27350,75,1499,1415,5.4,5,3
VW,Tiguan 1.4 TSI,26975,92,1395,1490,6.1,5,3
Mercedes,B 160,26638,75,1595,1395,5.5,5,3
Audi,A3 Limousine 1.0 TFSI,25550,85,999,1260,4.4,4,3
Honda,Civic Limousine 1.5 Turbo,25520,134,1498,1321,5.7,4,3
DS Automobiles,DS 4 Crossback PureTech 130 Stop&Start,25490,96,1199,1330,4.9,5,3
KIA,pro_ceed GT,25390,150,1591,1395,7.4,3,3
KIA,ceed GT,25390,150,1591,1382,7.4,5,3
Fiat,124 Spider 1.4 Multiair Turbo,24990,103,1368,1125,6.4,2,3
Fiat,124 Spider 1.4 Multiair Turbo,24990,103,1368,1125,6.4,2,3
Hyundai,Veloster 1.6 Turbo,24990,137,1591,1333,6.9,4,3
SEAT,Leon X-PERIENCE 1.4 TSI Start&Stop,24950,92,1395,1263,5.3,5,3
VW,Scirocco 1.4 TSI BMT,24950,92,1395,1280,5.4,3,3
Jeep,Compass 1.4 Multiair 140,24900,103,1368,1505,6.2,5,3
Volvo,V40 T2,24850,90,1969,1546,5.6,5,3
VW,Caddy Alltrack 1.2 TSI BMT,24782,62,1197,1350,6.1,5,3
BMW,116i,24700,80,1499,1375,5.3,3,3
Mercedes,A 160,24681,75,1595,1370,5.4,5,3
Audi,A3 Sportback 1.0 TFSI,24650,85,999,1255,4.5,5,3
Honda,Civic Tourer 1.8,24590,104,1798,1355,6.2,5,3
Skoda,Karoq 1.0 TSI,24290,85,999,1340,5.1,5,3
Infiniti,Q30 1.6t,24200,90,1595,1407,5.7,5,3
MINI,One Countryman,24000,75,1499,1440,5.5,5,3
DS Automobiles,DS 4 PureTech 130 Stop&Start,23990,96,1199,1330,4.9,5,3
KIA,pro_ceed 1.0 T-GDI 120 ISG,23990,88,998,1271,4.9,3,3
Opel,Zafira 1.4 Turbo,23950,88,1364,1628,6.8,5,3
Audi,A3 1.0 TFSI,23750,85,999,1225,4.5,3,3
Opel,Grandland X 1.2 DI Turbo Start&Stop,23700,96,1199,1350,5.4,5,3
Renault,Grand Sconic ENERGY TCe 115,23690,85,1197,1505,6.1,5,3
VW,Beetle Cabriolet 1.2 TSI BMT,23450,77,1197,1395,5.4,2,3
Audi,Q2 1.0 TFSI ultra,23400,85,999,1280,5.1,5,3
Ford,Kuga 1.5 EcoBoost Start/Stopp,23300,88,1498,1579,6.3,5,3
Peugeot,3008 1.2 PureTech 130,23250,96,1199,1325,5.1,5,3
Mazda,MX-5 SKYACTIV-G 131,22990,96,1496,1050,6,2,3
Subaru,XV 1.6i,22980,84,1600,1408,6.4,5,3
VW,Caddy Beach 1.2 TSI BMT,22943,62,1197,1350,6.1,5,3
MINI,One Clubman,22850,75,1499,1375,5.1,5,3
Hyundai,Tucson 1.6 GDI blue ,22740,97,1591,1454,6.3,5,3
Hyundai,i30 Fastback 1.0 T-GDI,22200,88, 998,1460,5.2,5,3
Toyota,C-HR 1.2 T,21990,85,1197,1320,5.9,5,3
Subaru,Impreza 1.6i,21980,84,1600,1359,6.2,5,3
VW,Golf Variant 1.0 TSI BMT,21850,81,999,1295,4.9,5,3
Mazda,3 SKYACTIV-G 120,21790,88,1998,1280,5.1,4,3
Toyota,Verso 1.6,21765,97,1598,1505,6.8,5,3
Alfa Romeo,Giulietta 1.4 TB 16V,21500,88,1368,1355,6.2,5,3
Opel,Astra GTC 1.4 Turbo,21360,88,1364,1437,6.3,3,3
Toyota,Corolla 1.6,21220,97,1598,1270,6,4,3
Citroen,Grand C4 Picasso PureTech 130 Stop&Start,20990,96,1199,1370,5,5,3
Ford,Grand C-MAX 1.0 EcoBoost Start/Stopp,20850,74,998,1493,5.2,5,3
Nissan,Qashqai 1.2 DIG-T,20490,85,1197,1350,5.6,5,3
VW,Golf Sportsvan 1.0 TSI,20475,63,999,1335,4.9,5,3
VW,Golf Sportsvan 1.2 TSI BMT,20475,63,1197,1320,5,5,3
VW,T-Roc 1.0 TSI,20390,85,999,1270,5.1,5,3
Ford,Tourneo Connect 1.0 EcoBoost Start/Stopp,20249,74,998,1474,5.6,5,3
Opel,Astra 1.6,20220,85,1598,1405,6.8,4,3
Honda,Civic 1.0 Turbo,19990,95,988,1229,4.8,5,3
KIA,Carens 1.6 GDI,19990,99,1591,1458,6.5,5,3
KIA,Sportage 1.6 GDI,19990,97,1591,1397,6.7,5,3
Mercedes,Citan Tourer lang 112,19990,84,1192,1440,6.2,5,3
Renault,Sconic ENERGY TCe 115,19990,85,1197,1503,5.8,5,3
Renault,Kadjar ENERGY TCe 130,19990,96,1197,1381,5.7,5,3
SEAT,Ateca 1.0 TSI Ecomotive,19990,85,999,1280,5.2,5,3
SsangYong,Korando 2.0 e-XGi 200,19990,110,1998,1612,7.5,5,3
Subaru,XV 1.6i,19990,84,1600,1370,6.5,5,3
Peugeot,308 SW 1.2 PureTech 110,19800,81,1199,1265,4.7,5,3
Suzuki,SX4 S-Cross 1.0 Boosterjet,19790,82,998,1165,5,5,3
Citroen,C4 Picasso PureTech 110 Stop&Start,18990,81,1199,1355,5.1,5,3
Mitsubishi,ASX 1.6 ClearTec,18990,86,1590,1335,5.7,5,3
Ford,Focus 1.0 EcoBoost Start/Stopp,18700,74,998,1303,4.8,4,3
Peugeot,308 1.2 PureTech 110,18700,81,1199,1155,4.6,5,3
Subaru,Impreza 1.6i,18600,84,1600,1380,6.2,5,3
Opel,Astra Sports Tourer 1.4,18550,74,1399,1273,5.7,5,3
VW,Caddy 1.2 TSI BMT,18528,62,1197,1350,6.1,4,3
Mitsubishi,Lancer 1.6 ClearTec,18490,86,1590,1305,5.5,4,3
Mitsubishi,Lancer Sportback 1.6 ClearTec,18490,86,1590,1345,5.5,5,3
Renault,Megane Grandtour ENERGY TCe 100,18490,74,1197,1366,5.4,5,3
Hyundai,i30 Kombi 1.4,18450,74,1368,1285,5.6,5,3
VW,Caddy Kombi 1.2 TSI BMT,18445,62,1197,1350,6.1,4,3
Nissan,Pulsar 1.2 DIG-T,18270,85,1197,1265,5,5,3
Ford,C-MAX 1.6 Ti-VCT,18250,63,1596,1374,6.4,5,3
Mazda,3 SKYACTIV-G 100,18190,74,1496,1260,5.1,5,3
VW,Golf 1.0 TSI BMT,18075,63,999,1206,4.8,3,3
Fiat,DoblKombi 1.4 16V,17990,70,1368,1370,7.4,5,3
SEAT,Toledo 1.2 TSI,17990,66,1197,1156,4.7,5,3
Citroen,Berlingo Kombi VTi 95,17850,72,1598,1395,6.4,4,3
Peugeot,Partner Tepee VTi 98,17850,72,1598,1550,6.4,4,3
Ford,Focus Turnier 1.6 Ti-VCT,17700,63,1596,1300,6,5,3
Toyota,Auris Touring Sports 1.33,17690,73,1329,1250,5.6,5,3
Opel,Astra 1.4,17550,74,1399,1244,5.5,5,3
Renault,Megane ENERGY TCe 100,17490,74,1197,1280,5.4,5,3
SsangYong,XLV 1.6 e-XGi 160,17490,94,1597,1390,7.1,5,3
Hyundai,i30 1.4,17450,74,1368,1244,5.4,5,3
Citroen,C4 PureTech 110,17240,81,1199,1275,4.8,5,3
Renault,Kangoo ENERGY TCe 115,17150,84,1197,1395,6.2,4,3
SEAT,Leon ST 1.2 TSI,16640,63,1197,1233,5.1,5,3
Toyota,Auris 1.33,16490,73,1329,1225,5.5,5,3
Fiat,Tipo Kombi 1.4 16V,16450,70,1368,1280,5.7,5,3
Ford,Focus 1.6 Ti-VCT,16450,63,1596,1264,5.9,5,3
KIA,ceed Sportswagon 1.4,16190,73,1368,1279,6,5,3
Skoda,Rapid 1.0 TSI,15890,70,999,1170,4.4,5,3
Skoda,Rapid Spaceback 1.0 TSI,15790,70,999,1165,4.4,5,3
SEAT,Leon 1.2 TSI,15490,63,1197,1188,5.1,5,3
Fiat,Tipo 1.4 16V,15450,70,1368,1270,5.7,5,3
Opel,Combo Combi 1.4,15110,70,1364,1445,7.4,5,3
SEAT,Leon SC 1.2 TSI,14990,63,1197,1168,5.1,3,3
KIA,ceed 1.4,14490,73,1368,1254,6,5,3
Fiat,Tipo 1.4 16V,14450,70,1368,1225,5.7,4,3
Dacia,Lodgy Stepway TCe 115 Start&Stop,14200,85,1197,1278,5.6,5,3
Dacia,Dokker Stepway TCe 115 Start&Stop,13600,85,1197,1280,5.7,5,3
Citroen,C-Elysee PureTech 82,12990,60,1199,1055,4.8,4,3
Lada,Vesta 1.6 16V,12740,78,1596,1250,6.1,4,3
Dacia,Logan MCV Stepway TCe 90 Start&Stop,12200,66,898,1165,5.1,5,3
Lada,Urban 1.7,11990,61,1690,1285,9.5,3,3
Dacia,Duster SCe 115,11290,84,1598,1262,6.6,5,3
Lada,Taiga 1.7,10790,61,1690,1285,9.5,3,3
Dacia,Duster SCe 115 Start&Stop,10690,84,1598,1165,6.4,5,3
Dacia,Lodgy SCe 100 Start&Stop,9990,75,1598,1211,6.1,5,3
Dacia,Dokker SCe 100 Start&Stop,8990,75,1598,1239,6.2,4,3
Lada,Granta 1.6 8V,8500,64,1596,1080,6.6,5,3
Dacia,Logan MCV SCe 75,7990,54,998,1091,5.4,5,3
Lada,Granta 1.6 8V,7260,64,1596,1080,6.6,4,3
\ No newline at end of file
03-numpy-und-matplotlib/folien-code/folien-code.ipynb 0 → 100644
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− 0
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%% Cell type:markdown id: tags:
# Code zu Folien
Dieses Skript bzw. Jupyter-Notebook enthält den Code, der auch auf den Folien "NumPy & Matplotlib" enthalten ist. Zum Vorbereiten, Mitmachen oder Nacharbeiten.
%% Cell type:code id: tags:
```
import numpy as np
v = np.array([1, 3, 5])
print(v)
print(v.shape, v.dtype)
a = np.array([[1, 2, 3], [4, 5, 6]])
print(a)
print(a.shape, a.dtype)
```
%% Cell type:code id: tags:
```
a = np.array([[[1]], [[3]], [[5]]])
print(a.shape)
a = np.array([[[1], [3], [5]]])
print(a.shape)
a = np.array([[[1, 3, 5]]])
print(a.shape)
```
%% Cell type:code id: tags:
```
v = np.arange(6) # shape: (6,) Vektor
a = v.reshape(-1, 3) # shape: (2, 3) Matrix
b = v.reshape(1, -1) # shape: (1, 6) Matrix
# x = v.reshape(4, -1) # shape: (4, ?) Matrix (passt nicht)
c = a[np.newaxis, :, :] # shape: (1, 2, 3) 3D
d = a[np.newaxis, ...] # shape: (1, 2, 3) 3D
e = a[np.newaxis, :, np.newaxis, :] # shape: (1, 2, 1, 3) 4D
f = e.squeeze() # shape: (2, 3) Matrix. Was ergäbe e.ravel()?
print(v.shape)
print(a.shape)
print(b.shape)
print(c.shape)
print(d.shape)
print(e.shape)
print(f.shape)
```
%% Cell type:code id: tags:
```
rng = np.random.default_rng() # random number generator
np.zeros((1, 5), dtype=bool) # 1 x 5-Matrix mit False
np.zeros_like(a) # Array mit 0en mit Shape und Typ von a
np.ones((1, 3)) # 1 x 3-Matrix mit 1en
rng.uniform(size=(2, 4)) # 2 x 4-Matrix mit uniformen Zufallszahlen aus [0, 1)
rng.integers(0, 10, (2, 4)) # 2 x 4-Matrix mit Zufallszahlen von 0 bis 9
rng.choice(10, size=4, replace=False) # Vektor mit 4 eindeutigen Elem. aus {0, ..., 9}
rng.permutation(10) # {0, ..., 9}, aber in zufälliger Reihenfolge
np.arange(-1, 0.05, 0.1) # Vektor von -1 bis 1 mit Schrittweite 0.1
np.linspace(-1, 1, 9) # Vektor mit 9 Werten lin. zwischen -1 und 1
np.logspace(-1, 1, 9) # Vektor mit 9 Werten log. zwischen 10^-1 und 10^1
```
%% Cell type:code id: tags:
```
a = np.array([[1, 2, 3], [4, 5, 6]])
v = np.array([10, 20, 30])
b = np.ones((3, 3))
print('np.sin(a):')
print(np.sin(a))
print('np.mean(a), np.std(a), np.max(a), np.min(a):')
print(np.mean(a), np.std(a), np.max(a), np.min(a))
print('np.sum(a), np.sum(a, axis=0), np.sum(a, axis=1):')
print(np.sum(a), np.sum(a, axis=0), np.sum(a, axis=1))
print('a**2:')
print(a**2)
print('a.T:')
print(a.T)
print('a @ v:')
print(a @ v)
print('a @ b:')
print(a @ b)
print('a.reshape(6):')
print(a.reshape(6))
print('np.delete(a, 1, axis=0):')
print(np.delete(a, 1, axis=0))
print('np.sort(a):')
print(np.sort(a))
print('np.argsort(a):')
print(np.argsort(a))
```
%% Cell type:code id: tags:
```
v = np.array([0, 1, 2, 3, 4, 5, 6])
print(v[1:5]) # Elemente 1 (inkl.) bis 5 (exkl.)
print(v[1:5:2]) # Elemente 1 bis 5 mit Schrittweite 2
print(v[::2]) # Alle Elemente mit Schrittweite 2
print(v[-3:]) # Die 3 letzten Elemente
print(v[::-1]) # Reihenfolge umkehren
```
%% Cell type:code id: tags:
```
a = np.array([[1,2,3], [4,5,6]])
print(a[1, 2]) # Element a_{1,2}
print(a[1]) # Zeile 1
print(a[1, 1:]) # Zeile 1, ab Spalte 1
print(a[:, -1]) # letzte Spalte
print(a[0, ::-1]) # Zeile 0, Spalten umkehren
```
%% Cell type:code id: tags:
```
a = np.array([[1, 2, 3], [4, 5, 6]])
b = a[0, ::-1] # a und b zeigen auf die gleichen Daten.
b[0] = 0 # Eine Änderung in b ...
print(a) # ... wirkt sich auch auf a aus.
c = a.copy()
print(np.shares_memory(a, b))
print(np.shares_memory(a, c))
```
%% Cell type:code id: tags:
```
v = np.array([4, 8, 15, 16, 23, 42])
print(v[[1, 4, 2]]) # Die Elemente bei 1, 4 und 2 als neues np-Array
print(v[np.array([[1, 4],
[1, 2]])])
```
%% Cell type:code id: tags:
```
A = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12]])
# Die Indizes werden paarweise genommen: [1, 1] und [2, 3]
print(A[[1, 2],
[1, 3]])
# Zeilen 1 und 2, Spalten 1 und 3)
print(A[np.ix_([1, 2], [1, 3])])
```
%% Cell type:code id: tags:
```
a = np.array([[1, 2, 3], [4, 5, 6]])
i = a > 4
print(i)
print(a[i])
a[~i] += 10 # ~ invertiert die Boolesche Matrix
print(a)
```
%% Cell type:code id: tags:
```
idx2d = np.nonzero(i) # Trues bei Zeile 1, Spalte 1 und bei Zeile 1, Spalte 2
print(idx2d)
print(a[idx2d])
idx1d = np.flatnonzero(i) # Trues bei Einzelindex 4 und bei Einzelindex 5
print(idx1d)
print(a.flat[idx1d])
```
%% Cell type:code id: tags:
```
data = np.random.default_rng().random(100) # uniform verteilt in [0, 1)
print(np.sum(data > 0.5))
print(np.count_nonzero(data > 0.5))
print(len(data[data > 0.5]))
print(np.nonzero(data > 0.5)[0].size) # [0] weil mit Tupel umhüllt
print(np.flatnonzero(data > 0.5).size) # size ist Produkt über #*shape*
```
%% Cell type:code id: tags:
```
A = np.array([[0, 1],
[2, 3],
[4, 5]])
B = np.array([[5],
[7],
[9]])
C = np.array([[8, 7],
[9, 6]])
V = np.vstack((A, C))
print(V)
H = np.hstack((A, B, B))
print(H)
```
%% Cell type:code id: tags:
```
data = np.loadtxt('autos.csv', delimiter=',', skiprows=1, usecols=range(2,9))
print(data)
print(data.shape)
# usecols als Zahlen oder Namen (z. B. 'Hubraum') möglich!
sa = np.genfromtxt('autos.csv', delimiter=',', names=True, dtype=float)
data = sa.view((float, len(sa.dtype.names)))
print(data)
print(data.shape)
structdata = np.genfromtxt('autos.csv', delimiter=',', names=True, dtype=None, encoding='utf-8')
print(structdata)
print(structdata.shape)
```
%% Cell type:code id: tags:
```
x = np.arange(0, 10, 0.2)
y1 = np.sin(x); y2 = np.cos(x)
import matplotlib.pyplot as plt
fig, ax = plt.subplots() # neues Fenster mit Achsen
ax.plot(x, y1, label='Sin') # sin Plot hinzufügen
ax.plot(x, y2, label='Cos') # cos Plot hinzufügen
ax.set_title('Simple Plot')
ax.set_xlabel('x-Achse')
ax.set_ylabel('y-Achse')
ax.grid()
plt.legend()
fig.savefig('plot.pdf', bbox_inches='tight') # ggf. Plot speichern (pdf, png, ...)
plt.show() # anzeigen (bei non-interactive)
```
%% Cell type:code id: tags:
```
rng = np.random.default_rng()
x = rng.random(100)
y = 5 * x**2 + rng.random(100)
plt.figure() # neues Fenster (optional)
plt.scatter(x, y, s=100*y, c=x, alpha=0.4)
fig = plt.gcf()
ax = plt.gca()
```
%% Cell type:code id: tags:
```
from numpy.polynomial import Polynomial
x = np.arange(10)
y = 2 * x
# y = x ** 2
p = Polynomial.fit(x, y, deg=1).convert()
print(p(1))
print(p(np.array([1., 3., 5.])))
print(p.coef) # Koeffizienten
plt.plot(x, p(x)) # Plot oben
plt.scatter(x, y, color='r')
```
%% Cell type:code id: tags:
```
from sklearn.linear_model import LinearRegression
x = np.arange(10).reshape(-1, 1)
y = x ** 2
linreg = LinearRegression()
linreg.fit(x, y)
print(linreg.predict([[1]]))
print(linreg.predict([[1], [3], [5]]))
print(linreg.intercept_, linreg.coef_)
```
%% Cell type:code id: tags:
```
x = np.arange(10).reshape(-1, 1)
y = x ** 2
x_poly = np.hstack((x, x**2)) # shape: 10 x 2
linreg = LinearRegression()
linreg.fit(x_poly, y)
print(linreg.predict([[3, 9]]))
print(linreg.intercept_, linreg.coef_)
```
%% Cell type:code id: tags:
```
rng = np.random.default_rng()
x = rng.uniform(size=(100, 1)) * 3 - 0.5
y = np.round(x % 1) - 0.5
def fourier_basis(x, n=4):
return np.hstack([np.sin(2 * np.pi * k * x) for k in range(1, 2 * n, 2)])
x_f = fourier_basis(x, 5)
linreg = LinearRegression()
linreg.fit(x_f, y)
x_plt = np.linspace(0, 4, 501).reshape(-1, 1)
x_plt_f = fourier_basis(x_plt, 5)
y_plt = linreg.predict(x_plt_f)
plt.plot(x_plt, y_plt)
plt.scatter(x, y, color='r')
```
03-numpy-und-matplotlib/folien-code/folien-code.py 0 → 100644
+ 283
− 0
View file @ d3768a3d
# %% [markdown]
# # Code zu Folien
#
# Dieses Skript bzw. Jupyter-Notebook enthält den Code, der auch auf den Folien "NumPy & Matplotlib" enthalten ist. Zum Vorbereiten, Mitmachen oder Nacharbeiten.
# %% 1D und 2D Arrays
import numpy as np
v = np.array([1, 3, 5])
print(v)
print(v.shape, v.dtype)
a = np.array([[1, 2, 3], [4, 5, 6]])
print(a)
print(a.shape, a.dtype)
# %% 3D Arrays
a = np.array([[[1]], [[3]], [[5]]])
print(a.shape)
a = np.array([[[1], [3], [5]]])
print(a.shape)
a = np.array([[[1, 3, 5]]])
print(a.shape)
# %% Shape
v = np.arange(6) # shape: (6,) Vektor
a = v.reshape(-1, 3) # shape: (2, 3) Matrix
b = v.reshape(1, -1) # shape: (1, 6) Matrix
# x = v.reshape(4, -1) # shape: (4, ?) Matrix (passt nicht)
c = a[np.newaxis, :, :] # shape: (1, 2, 3) 3D
d = a[np.newaxis, ...] # shape: (1, 2, 3) 3D
e = a[np.newaxis, :, np.newaxis, :] # shape: (1, 2, 1, 3) 4D
f = e.squeeze() # shape: (2, 3) Matrix. Was ergäbe e.ravel()?
print(v.shape)
print(a.shape)
print(b.shape)
print(c.shape)
print(d.shape)
print(e.shape)
print(f.shape)
# %% Erzeugendenfunktionen
rng = np.random.default_rng() # random number generator
np.zeros((1, 5), dtype=bool) # 1 x 5-Matrix mit False
np.zeros_like(a) # Array mit 0en mit Shape und Typ von a
np.ones((1, 3)) # 1 x 3-Matrix mit 1en
rng.uniform(size=(2, 4)) # 2 x 4-Matrix mit uniformen Zufallszahlen aus [0, 1)
rng.integers(0, 10, (2, 4)) # 2 x 4-Matrix mit Zufallszahlen von 0 bis 9
rng.choice(10, size=4, replace=False) # Vektor mit 4 eindeutigen Elem. aus {0, ..., 9}
rng.permutation(10) # {0, ..., 9}, aber in zufälliger Reihenfolge
np.arange(-1, 0.05, 0.1) # Vektor von -1 bis 1 mit Schrittweite 0.1
np.linspace(-1, 1, 9) # Vektor mit 9 Werten lin. zwischen -1 und 1
np.logspace(-1, 1, 9) # Vektor mit 9 Werten log. zwischen 10^-1 und 10^1
# %% Rechnen
a = np.array([[1, 2, 3], [4, 5, 6]])
v = np.array([10, 20, 30])
b = np.ones((3, 3))
print('np.sin(a):')
print(np.sin(a))
print('np.mean(a), np.std(a), np.max(a), np.min(a):')
print(np.mean(a), np.std(a), np.max(a), np.min(a))
print('np.sum(a), np.sum(a, axis=0), np.sum(a, axis=1):')
print(np.sum(a), np.sum(a, axis=0), np.sum(a, axis=1))
print('a**2:')
print(a**2)
print('a.T:')
print(a.T)
print('a @ v:')
print(a @ v)
print('a @ b:')
print(a @ b)
print('a.reshape(6):')
print(a.reshape(6))
print('np.delete(a, 1, axis=0):')
print(np.delete(a, 1, axis=0))
print('np.sort(a):')
print(np.sort(a))
print('np.argsort(a):')
print(np.argsort(a))
# %% Indizierung & Slicing: v
v = np.array([0, 1, 2, 3, 4, 5, 6])
print(v[1:5]) # Elemente 1 (inkl.) bis 5 (exkl.)
print(v[1:5:2]) # Elemente 1 bis 5 mit Schrittweite 2
print(v[::2]) # Alle Elemente mit Schrittweite 2
print(v[-3:]) # Die 3 letzten Elemente
print(v[::-1]) # Reihenfolge umkehren
# %% Indizierung & Slicing: a
a = np.array([[1,2,3], [4,5,6]])
print(a[1, 2]) # Element a_{1,2}
print(a[1]) # Zeile 1
print(a[1, 1:]) # Zeile 1, ab Spalte 1
print(a[:, -1]) # letzte Spalte
print(a[0, ::-1]) # Zeile 0, Spalten umkehren
# %% View
a = np.array([[1, 2, 3], [4, 5, 6]])
b = a[0, ::-1] # a und b zeigen auf die gleichen Daten.
b[0] = 0 # Eine Änderung in b ...
print(a) # ... wirkt sich auch auf a aus.
c = a.copy()
print(np.shares_memory(a, b))
print(np.shares_memory(a, c))
# %% Komplexe Indizierung
v = np.array([4, 8, 15, 16, 23, 42])
print(v[[1, 4, 2]]) # Die Elemente bei 1, 4 und 2 als neues np-Array
print(v[np.array([[1, 4],
[1, 2]])])
# %% Komplexe Indizierung in 2D
A = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12]])
# Die Indizes werden paarweise genommen: [1, 1] und [2, 3]
print(A[[1, 2],
[1, 3]])
# Zeilen 1 und 2, Spalten 1 und 3)
print(A[np.ix_([1, 2], [1, 3])])
# %% Boolesche Indizierung
a = np.array([[1, 2, 3], [4, 5, 6]])
i = a > 4
print(i)
print(a[i])
a[~i] += 10 # ~ invertiert die Boolesche Matrix
print(a)
# %% Boolescher Index zu komplexen Index
idx2d = np.nonzero(i) # Trues bei Zeile 1, Spalte 1 und bei Zeile 1, Spalte 2
print(idx2d)
print(a[idx2d])
idx1d = np.flatnonzero(i) # Trues bei Einzelindex 4 und bei Einzelindex 5
print(idx1d)
print(a.flat[idx1d])
# %% Beispiel: Boolesches Array
data = np.random.default_rng().random(100) # uniform verteilt in [0, 1)
print(np.sum(data > 0.5))
print(np.count_nonzero(data > 0.5))
print(len(data[data > 0.5]))
print(np.nonzero(data > 0.5)[0].size) # [0] weil mit Tupel umhüllt
print(np.flatnonzero(data > 0.5).size) # size ist Produkt über #*shape*
# %% Arrays verbinden
A = np.array([[0, 1],
[2, 3],
[4, 5]])
B = np.array([[5],
[7],
[9]])
C = np.array([[8, 7],
[9, 6]])
V = np.vstack((A, C))
print(V)
H = np.hstack((A, B, B))
print(H)
# %% CSV-Import
data = np.loadtxt('autos.csv', delimiter=',', skiprows=1, usecols=range(2,9))
print(data)
print(data.shape)
# usecols als Zahlen oder Namen (z. B. 'Hubraum') möglich!
sa = np.genfromtxt('autos.csv', delimiter=',', names=True, dtype=float)
data = sa.view((float, len(sa.dtype.names)))
print(data)
print(data.shape)
structdata = np.genfromtxt('autos.csv', delimiter=',', names=True, dtype=None, encoding='utf-8')
print(structdata)
print(structdata.shape)
# %% Linienplot
x = np.arange(0, 10, 0.2)
y1 = np.sin(x); y2 = np.cos(x)
import matplotlib.pyplot as plt
fig, ax = plt.subplots() # neues Fenster mit Achsen
ax.plot(x, y1, label='Sin') # sin Plot hinzufügen
ax.plot(x, y2, label='Cos') # cos Plot hinzufügen
ax.set_title('Simple Plot')
ax.set_xlabel('x-Achse')
ax.set_ylabel('y-Achse')
ax.grid()
plt.legend()
fig.savefig('plot.pdf', bbox_inches='tight') # ggf. Plot speichern (pdf, png, ...)
plt.show() # anzeigen (bei non-interactive)
# %% Scatter Plot
rng = np.random.default_rng()
x = rng.random(100)
y = 5 * x**2 + rng.random(100)
plt.figure() # neues Fenster (optional)
plt.scatter(x, y, s=100*y, c=x, alpha=0.4)
fig = plt.gcf()
ax = plt.gca()
# %% Lineare Regression mit NumPy
from numpy.polynomial import Polynomial
x = np.arange(10)
y = 2 * x
# y = x ** 2
p = Polynomial.fit(x, y, deg=1).convert()
print(p(1))
print(p(np.array([1., 3., 5.])))
print(p.coef) # Koeffizienten
plt.plot(x, p(x)) # Plot oben
plt.scatter(x, y, color='r')
# %% Lineare Regression mit Scikit-Learn, Grad 1
from sklearn.linear_model import LinearRegression
x = np.arange(10).reshape(-1, 1)
y = x ** 2
linreg = LinearRegression()
linreg.fit(x, y)
print(linreg.predict([[1]]))
print(linreg.predict([[1], [3], [5]]))
print(linreg.intercept_, linreg.coef_)
# %% Lineare Regression mit Scikit-Learn, Grad 2
x = np.arange(10).reshape(-1, 1)
y = x ** 2
x_poly = np.hstack((x, x**2)) # shape: 10 x 2
linreg = LinearRegression()
linreg.fit(x_poly, y)
print(linreg.predict([[3, 9]]))
print(linreg.intercept_, linreg.coef_)
# %% Andere Basisfunktionen
rng = np.random.default_rng()
x = rng.uniform(size=(100, 1)) * 3 - 0.5
y = np.round(x % 1) - 0.5
def fourier_basis(x, n=4):
return np.hstack([np.sin(2 * np.pi * k * x) for k in range(1, 2 * n, 2)])
x_f = fourier_basis(x, 5)
linreg = LinearRegression()
linreg.fit(x_f, y)
x_plt = np.linspace(0, 4, 501).reshape(-1, 1)
x_plt_f = fourier_basis(x_plt, 5)
y_plt = linreg.predict(x_plt_f)
plt.plot(x_plt, y_plt)
plt.scatter(x, y, color='r')
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