O'Reilly logo

Hands-On Data Analysis with NumPy and pandas by Curtis Miller

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Exploring series and DataFrame objects

We'll start looking at pandas series and DataFrame objects. In this section, we'll start getting familiar with pandas series and DataFrames by looking at how they are created. We'll start with series since they are the building block of DataFrames. Series are one-dimensional array-like objects containing data of a single type. From this fact alone, you'd rightly conclude that they're very similar to one-dimensional NumPy arrays, but series have different methods than NumPy arrays that make them more ideal for managing data. They can be created with an index, which is metadata identifying the contents of the series. Series can handle missing data; they do so by representing missing data with NumPy's NaN. ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required