niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


"""
Read an Access Database using pyodbc
Version: 1.0
Python 3.7
Date created: 24.02.2019
"""

niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


'''
Author: @niftycode
Version: 1.3
Python 3.10
Date created: February 14th, 2018
Date modified: December 1st, 2021

niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


"""
Traffic Accidents in Kiel, Germany
Python 3.6
last edited: May 19th, 2021
The data is provided by the City of Kiel, Germany
https://www.kiel.de/

niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


"""
Election, German Bundestag 2017
Version: 1.0
Python 3.6
Date created: 25/09/2017
"""

niftycode

import matplotlib.pyplot as plt
import numpy as np

plt.style.use('seaborn-bright')

fig, ax = plt.subplots()

candidats = ('Marine Le Pen', 'Emmanuel Macron', 'François Fillon', 'Benoît Hamon', 'Jean-Luc Mélenchon')
voter = [21.7,23.9,20,6.3,19.2]
y_pos = np.arange(len(candidats))

niftycode

#!/usr/bin/python3
# -*- coding: utf-8 -*-

"""
kiel_unfaelle.py
version: 1.3
last edited: June 19th, 2021
The data is provided by the City of Kiel, Germany:
http://kiel.de/rathaus/statistik/open_data/index.php?id=de-sh-kiel_gesetze_justiz_strassenverkehsunfaelle_verkehrstote_verletzte_fahrerflucht
"""

niftycode

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

'''
MIT License

Copyright (c) 2016-2024 Bodo Schönfeld

Permission is hereby granted, free of charge, to any person obtaining a copy of this software
and associated documentation files (the "Software"), to deal in the Software without restriction,

niftycode

#!/usr/bin/python3
# -*- coding: utf-8 -*-

"""
Line graph of the familiy status of the citizens of Kiel, Germany.
The data is provided by the City of Kiel.
http://kiel.de/rathaus/statistik/open_data/index.php

familyStatus.py
version: 1.3

niftycode

import matplotlib.pyplot as plt
import numpy as np

# results for the greens and the cdu
gruene = np.array([5.3, 8.0, 7.9, 9.5, 12.1, 7.7, 11.7, 24.2, 30.3])
cdu = np.array([53.4, 51.9, 49.0, 39.6, 41.3, 44.8, 44.2, 39.0, 27.0])

fig, ax = plt.subplots()
xlabels = [1980, 1984, 1988, 1992, 1996, 2001, 2006, 2011, 2016]

niftycode

/* EpochConverter */
#include <iostream>
#include <time.h>

using namespace std;

int main(int argc, const char * argv[]) {

	int inputTime;
	struct tm *timeinfo;