November 2023
Intermediate to advanced
576 pages
13h 30m
German
Content preview from Handbuch Data Science mit PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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KAPITEL 15
Mit Pandas-Daten arbeiten
Eine der Stärken von NumPy liegt darin, schnell elementweise Operationen durchführen zu können, und zwar sowohl grundlegende Arithmetik (Addition, Subtraktion, Multiplikation usw.) als auch kompliziertere Operationen (trigonometrische Funktionen, Exponentialfunktionen, Logarithmen usw.). Einen Großteil dieser Funktionalität erbt Pandas von NumPy. Hier sind die in Kapitel 6 vorgestellten UFuncs entscheidend.
Pandas bietet an dieser Stelle einige pfiffige Merkmale: Bei unären Operationen wie Negation und trigonometrischen Funktionen bleiben Index und Spaltenbezeichnungen in der Ausgabe von UFuncs erhalten. Bei binären Operationen wie Addition und Multiplikation sorgt Pandas bei der Übergabe von Objekten an UFuncs ...
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