Programmierung in Python ¶
Univ.-Prof. Dr. Martin Hepp, Universität der Bundeswehr München
Einheit 4: Datenvisualisierung ¶
Version: 2019-12-05 -- Work in progress ;-)
http://www.ebusiness-unibw.org/wiki/Teaching/PIP
Balkendiagramme¶
In [3]:
from matplotlib import pyplot as plt
plt.bar(range(5), [5, 7, 9, 3, 11])
plt.show()
Liniendiagramme¶
In [5]:
from matplotlib import pyplot as plt
plt.plot(range(5), [5, 7, 9, 5, 11])
plt.show()
In [18]:
from matplotlib import pyplot as plt
plt.plot(range(5), [5, 7, 9, 5, 11], '.r')
plt.show()
Boxplots¶
In [12]:
from matplotlib import pyplot as plt
plt.boxplot([0, 1, 5, 15, 4, 12, 5, 7, 9, 5, 11])
plt.show()
Tortendiagramme¶
In [16]:
# auf Basis von https://matplotlib.org/gallery/pie_and_polar_charts/pie_features.html#sphx-glr-gallery-pie-and-polar-charts-pie-features-py
import matplotlib.pyplot as plt
labels = ['Java', 'Python', 'C++', 'Javascript']
sizes = [20, 45, 15, 20]
plt.pie(sizes, labels=labels)
plt.show()
Scatter Plots¶
In [21]:
from matplotlib import pyplot as plt
plt.scatter([5, 7, 9, 5, 11], [5, 7, 9, 5, 11])
plt.show()
Heatmaps¶
In [22]:
# Beispiel aus https://stackoverflow.com/a/49608671/516699
import numpy as np
import seaborn as sns
import matplotlib.pylab as plt
uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data, linewidth=0.5)
plt.show()
Quellenangaben und weiterführende Literatur¶
[Pyt2019] Python Software Foundation. Python 3.8.0 Documentation. https://docs.python.org/3/.
[Ov2019] Ohne Verfasser. Plotting Data with Matplotlib. https://howtothink.readthedocs.io/en/latest/PvL_H.html