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 14
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In Teil II haben wir einen ausgiebigen Blick auf die Methoden und Tools geworfen, mit denen die Werte in NumPy-Arrays abgefragt, zugewiesen und modifiziert werden können. Dazu gehören Indizierung (z.B. arr[2, 1]), Slicing (z.B. arr[:, 1:5]), Maskierung (z.B. arr[arr > 0]), Fancy Indexing (z.B. arr[0, [1, 5]]) sowie Kombinationen aus den verschiedenen Möglichkeiten (z.B. arr[:, [1, 5]]). Wir betrachten nun vergleichbare Methoden zum Abfragen und Ändern der Werte in Pandas' Series- und DataFrame-Objekten. Wenn Sie die NumPy-Methoden verwendet haben, dürften Ihnen die entsprechenden Pandas-Methoden vertraut erscheinen, es sind jedoch einige Eigenheiten zu beachten.
Wir betrachten zunächst den einfachen ...
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