Tag pandas series

Pandas–Series

By inPython for Data Science Tag , , ,

The first main data type we will learn about for pandas is the Series data type.

A series is a one-dimensional data structure. A Series is very similar to a NumPy array (in fact it is built on top of the NumPy array object). What differentiates the NumPy array from a Series, is that a Series can have axis labels, meaning it can be indexed by a label, instead of just a number location. It also doesn’t need to hold numeric data, it can hold any arbitrary Python Object.

10 23 56 17 52 61 73 90 26 72

So important point to remember for pandas series is:

  • Homogeneous data
  • Size Immutable
  • Values of Data Mutable

Let’s import Pandas and explore the Series object with the help of python.