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 5
Grundlagen von NumPy-Arrays
Die Bearbeitung von NumPy-Arrays ist schon fast zu einem Synonym für die Datenverarbeitung mit Python geworden – selbst neuere Tools wie Pandas (siehe Teil III) bauen auf NumPy-Arrays auf. In diesem Kapitel werden einige Beispiele vorgestellt, die NumPy-Arrays verwenden, um auf Daten und Teilmengen eines Arrays zuzugreifen und die Arrays aufzuteilen, umzuformen und zu verketten. Die hier vorgestellten Operationen mögen etwas trocken und spitzfindig erscheinen, sie bilden jedoch die Bausteine vieler anderer Beispiele im weiteren Verlauf dieses Buchs. Sie sollten sie daher gründlich verinnerlichen.
Wir betrachten verschiedene Kategorien der grundlegenden Bearbeitung von Arrays:
Attribute von NumPy-Arrays
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