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@niftycode
Created January 5, 2020 13:52
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The bankruptcies in Kiel, Germany
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Unternehmensinsolvenzen in Kiel
The data is provided by the Open Data Portal Schleswig-Holstein, Germany
https://opendata.schleswig-holstein.de/dataset/unternehmensinsolvenzen-in-kiel
Version: 1.0
Python 3.8
Date created: 05.01.2020
'''
import io
import requests
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
CSV_URL = 'https://www.kiel.de/opendata/kiel_wirtschaft_arbeit_unternehmensinsolvenzen.csv'
# Fetch the data
csv_data = requests.get(CSV_URL).content
# Create a dataframe
df = pd.read_csv(io.StringIO(csv_data.decode('latin1')), sep=';')
# Use a subplot
fig, ax = plt.subplots()
# Print the dataframe's head (five rows)
print(df.head())
# Drop not available data
df_cleaned = df.dropna(how='all')
# x = Jahr as uint16 / y = Insolvenzen
df_years = df_cleaned['Jahr'].astype(np.uint16)
x = df_years.values
y = df_cleaned['Insolvenzen'].values
# Title and labels
plt.title("Kiel - Unternehmensinsolvenzen", size="x-large")
plt.ylabel("Anzahl", size="x-large")
plt.xlabel("Jahr", size="x-large")
plt.plot(y, "r*-", markersize=6, linewidth=1, color='b')
ax.set_xticks(range(len(x)))
ax.set_xticklabels(x, rotation='vertical')
plt.show()
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