Creating Series objects

In the following section, we will see how to create a series of objects.

Getting ready

Before trying this recipe, import the numpy and pandas modules with the following code:

import numpy as np
import pandas as pd

How to do it...

Run the following code in a code cell; this will create three objects of Series type: 

series1 = pd.Series(['Alice', 'Bob', 'Joe', 'Mary'])
series2 = pd.Series(['Honda', 'Honda', 'Honda', 'Toyota', 'Ford'],
                    index=['CR-V', 'Civic', 'Accord', 'Highlander', 'F-150'])
series3 = pd.Series({'a':102, 'b':np.NaN, 'c':303}, dtype=np.float64)

After the objects are created, their contents can be checked by entering the variable that represents each object in a code cell by itself.

How it works...

The simplest constructor for a Series object takes as argument a Python iterable, as shown in the first example, reproduced as follows:

series1 = pd.Series(['Alice', 'Bob', 'Joe', 'Mary'])
series1

The iterable must be one-dimensional, such as a plain...