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 10
Fancy Indexing
In den vorhergehenden Kapiteln haben Sie erfahren, wie man mit einfachen Indizes (z.B. arr[0]), Slices (z.B. arr[:5]) oder booleschen Maskierungen (z.B. arr[arr > 0]) Teile eines Arrays modifizieren oder darauf zugreifen kann. In diesem Kapitel betrachten wir eine weitere Art der Array-Indizierung, die als Fancy Indexing oder vektorisiertes Indexing bezeichnet wird. Fancy Indexing funktioniert wie die bekannte Indizierung, allerdings werden anstelle einzelner Skalare Arrays von Indizes übergeben. Auf diese Weise kann man sehr schnell auf komplizierte Teilmengen der Werte eines Arrays zugreifen und diese modifizieren.
Fancy Indexing im Detail
Fancy Indexing ist konzeptuell ganz einfach: Es bedeutet, ein Array von Indizes ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.