November 2023
Intermediate to advanced
576 pages
13h 30m
German
Content preview from Handbuch Data Science mit Python
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KAPITEL 19
Datenmengen kombinieren: merge und join
Zu den wesentlichen Features von Pandas gehören die äußerst leistungsfähigen im Arbeitsspeicher ausgeführten Join- und Merge-Operationen, die Ihnen schon geläufig sein sollten, wenn Sie bereits mit Datenbanken gearbeitet haben. Die wichtigste Schnittstelle ist die pd.merge-Funktion, und wir werden einige Beispiele betrachten, die zeigen, wie die Sache in der Praxis funktioniert.
Der Einfachheit halber definieren wir nach den üblichen Importen wieder die aus dem vorherigen Kapitel bekannte display-Funktion:
In [1]: import pandas as pd
import numpy as np
class display(object):
"""HTML-Darstellung mehrerer Objekte anzeigen"""
template = """<div style="float: left; padding: 10px;">
<p style='font-family:"Courier ...
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