Ultimate Pandas Guide — Inspecting Data Like a Pro. In this post, I’ll walk through several DataFrame attributes and methods that make data inspection painless and productive.
Whether you’re working on a simple analysis or a complex machine learning model, there’s a lot of value in being able to answer quick, exploratory questions about the nature of your data.
Fortunately, Pandas makes this easy. In this post, I’ll walk through several DataFrame attributes and methods that make data inspection painless and productive.
Use Case: Taking a quick look at our DataFrame.
By default, the head method returns the first 5 rows of our data:
#returns the first five rows df.head()
But we can also specify a different number of rows to return:
#returns the first six rows df.head(6)
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