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[Source: python-seaborn]

Package: python3-seaborn (0.8.1-bp156.3.1)

Statistische Datenvisualisierung für Python

Seaborn ist eine Bibliothek zum Erstellen attraktiver und informativer statistischer Grafiken in Python. Sie baut auf matplotlib auf und ist eng in den PyData-Stack integriert, einschließlich Unterstützung für numpy- und pandas-Datenstrukturen sowie statistische Routinen aus scipy und statsmodels. Einige der Funktionen, die seaborn bietet, sind: - Mehrere integrierte Themes, die die Standardästhetik von matplotlib verbessern - Werkzeuge zur Auswahl von Farbpaletten für schöne Plots, die Muster in Ihren Daten sichtbar machen - Funktionen zur Visualisierung univariater und bivariater Verteilungen oder zum Vergleich zwischen Teilmengen von Daten - Werkzeuge, die lineare Regressionsmodelle für verschiedene Arten unabhängiger und abhängiger Variablen anpassen und visualisieren - Funktionen, die Datenmatrizen visualisieren und Clustering- Algorithmen nutzen, um Strukturen in diesen Matrizen zu entdecken - Eine Funktion zum Plotten statistischer Zeitreihendaten mit flexibler Schätzung und Darstellung der Unsicherheit um die Schätzung - Abstraktionen auf hoher Ebene zur Strukturierung von Plot-Gittern, mit denen Sie komplexe Visualisierungen leicht erstellen können

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Paths come from the repository package-file index for the observed builds. They describe archive/package associations, not every file that will exist on a running system after maintainer scripts, alternatives, generated state, diversions, or installation choices.

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