March 2025
Intermediate to advanced
504 pages
12h 5m
Italian
Content preview from Python Polars: la guida definitiva
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Capitolo 12. Lavorare con itipi di dati testuali, temporalie nidificati
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Nel Capitolo 4 abbiamo illustrato i tipi di dati di base che Polars offre e come vengono utilizzati per memorizzare i dati in Series. Alcuni tipi di dati meritano un'attenzione particolare perché hanno metodi speciali o sono ottimizzati per casi d'uso specifici.
I tre tipi di dati testuali sono String, Categorical ed Enum, i quattro tipi di dati temporali sono Date, Datetime, Time e Duration e i tre tipi di dati annidati sono List, Array e Struct.
Tutti questi tipi di dati, ad eccezione di Enum, hanno un proprio spazio dei nomi. Uno spazio dei nomi raggruppa più metodi in un unico accesso. Ad esempio, lo spazio dei nomi Expr.str contiene tutti i metodi per String, mentre lo spazio dei nomi Expr.dt contiene tutti i metodi per i tipi di dati temporali.
In questo capitolo imparerai a..:
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Creare Serie con tipi di dati testuali, temporali e annidati
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Lavorare con il testo utilizzando il tipo di dati String
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Usa le categorie e gli enum per lavorare in modo efficiente con i dati testuali.
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Elaborare i dati temporali utilizzando Date e Tempi di riferimento
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Memorizza sequenze e dati nidificati utilizzando Liste, Array e Strutture.
Le istruzioni per ottenere tutti i file di cui potresti aver bisogno sono riportate nel Capitolo 2. Partiamo dal presupposto che i file si trovino ...
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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.