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 7
Aggregationen: Minimum, Maximum und alles dazwischen
Der erste Schritt bei der Erforschung großer Datenmengen besteht oft darin, verschiedene zusammenfassende Statistiken zu berechnen. Die gebräuchlichsten statistischen Kennzahlen dürften wohl Mittelwert und Standardabweichung sein, die es ermöglichen, die »typischen« Werte einer Datenmenge zu beschreiben. Andere Aggregationen sind jedoch ebenfalls nützlich (Summe, Produkt, Medianwert, Minimum, Maximum, Quantil usw.)
NumPy verfügt über schnelle integrierte Aggregatfunktionen, die auf Arrays anwendbar sind. Einige davon werden wir nun vorstellen und erörtern.
Summieren der Werte eines Arrays
Betrachten wir als simples Beispiel die Berechnung der Summe aller Werte eines Arrays. Python ...
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