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 23
Zeitreihen verwenden
Bei der ursprünglichen Entwicklung von Pandas wurde Wert darauf gelegt, für das Finanzwesen geeignete Modellbildungen zu unterstützen. Deshalb steht ein ziemlich umfangreicher Satz von Tools zum Bearbeiten von Kalenderdaten, Zeiten und zeitlich gelabelten Daten zur Verfügung. Zur Beschreibung von Kalenderdaten und Zeiten gibt es eine ganze Reihe verschiedener Varianten, die wir an dieser Stelle eingehender betrachten:
Zeitstempel (Timestamps)
Bestimmte Zeitpunkte (z.B. 07:00 Uhr am 30. September 2021).
Zeitintervalle und Zeitperioden
Eine Zeitspanne, die zwischen einem Anfangs- und einem Endzeitpunkt liegt – wie z.B. Juni 2021. Für gewöhnlich beschreiben Zeitperioden spezielle Zeitintervalle von konstanter Länge, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.