November 2023
Intermediate to advanced
576 pages
13h 30m
German
Content preview from Handbuch Data Science mit Python
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KAPITEL 29
Anpassen der Legende
Die Legende eines Diagramms verleiht der Visualisierung durch die Benennung der verschiedenen Elemente Bedeutung. Einfache Legenden sind Ihnen bereits bekannt – jetzt werfen wir einen Blick darauf, wie man die Position und das Aussehen der Legende in Matplotlib anpassen kann.
Die einfachste Art einer Legende kann mit dem Befehl plt.legend erstellt werden, der automatisch eine Legende für alle beschrifteten Elemente des Diagramms erzeugt (siehe Abbildung 29-1).
In [1]: import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
In [2]: %matplotlib inline
import numpy as np
In [3]: x = np.linspace(0, 10, 1000)
fig, ax = plt.subplots()
ax.plot(x, np.sin(x), '-b', label='Sine')
ax.plot(x, np.cos(x), '--r', ...
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