May 2025
Intermediate to advanced
524 pages
16h 25m
German
Content preview from High Performance Python, 3. Auflage
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Kapitel 7. Pandas, Dask und Polare
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Viele wissenschaftliche und datenwissenschaftliche Projekte verwenden tabellarische Daten, die in einen Datenrahmen passen. Ein Datenrahmen fasst in der Regel eine heterogene (d.h. gemischte) Sammlung von Datentypen zusammen, wobei die Datentypen den Spalten zugeordnet sind. Jeder Eintrag im Datenrahmen ist eine Zeile - im Allgemeinen sehen sie aus wie eine Tabellenkalkulation, wie du sie in Excel sehen könntest.
Pandas wurde 2008 veröffentlicht und entwickelte sich schnell zur wichtigsten Datenrahmen-Bibliothek im Python-Ökosystem. Im Laufe ihrer Entwicklung wurden viele Mängel diskutiert, die später in Wes McKinneys berüchtigtem Blogpost "Apache Arrow and the '10 Things I Hate About pandas'" von 2017 dokumentiert wurden . Zum Zeitpunkt der Erstellung dieses Artikels, acht Jahre nach diesem Blogpost, ist Pandas ...
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