File:Bevölkerungsentwicklung Kaufbeuren 1997-2021.svg
Summary
| Description |
Deutsch: Die Bevölkerungsentwicklung Kaufbeuren von 1997 bis 2021
English: The population development of Kaufbeuren from 1997 to 2021 |
| Date | |
| Source | Own work, Source of data: Stadt Kaufbeuren Zahlen – Daten – Fakten 31.12.2022 (p. 16) |
| Author | Anton Porsche |
| SVG development |  This W3C-invalid plot was created with Matplotlib.Category:Invalid SVG created with Matplotlib code#1000Bevölkerungsentwicklung%20Kaufbeuren%201997-2021.svg |
| Source code | Python code# coding: utf-8
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
data = np.array([
[1997, 42105],
[1998, 41800],
[1999, 41772],
[2000, 41905],
[2001, 42246],
[2002, 42665],
[2003, 42581],
[2004, 42430],
[2005, 42183],
[2006, 41945],
[2007, 42043],
[2008, 41966],
[2009, 41881],
[2010, 41843],
[2011, 41745],
[2012, 41570],
[2013, 41759],
[2014, 42014],
[2015, 42731],
[2016, 43134],
[2017, 43478],
[2018, 43893],
[2019, 44398],
[2020, 44662],
[2021, 45118]])
# Prepare axis
fig = plt.figure(figsize=(8, 3))
ax = fig.add_subplot(111)
# Plot data
years = data[:, 0]
people = data[:, 1]
baseline = 40000
ax.fill_between(years, people, y2=baseline, color='#000066', edgecolor='black',
alpha=0.6, lw=2)
# Cosmetics
plt.xlim(min(years), max(years))
ax.minorticks_on()
fig.subplots_adjust(bottom=0.15)
plt.grid()
plt.title(u'Bevölkerungsentwicklung in Kaufbeuren')
plt.xlabel('Jahr')
plt.ylabel('Einwohner')
# Save figure
plt.savefig('KaufbeurenBevoelkerung.svg', transparent=True)
|
Basiert auf Bevölkerungsentwicklung_Kaufbeuren.svg (CC BY-SA 3.0)
Licensing
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