Pandas Series

Overview

Time: min

Objectives

What is a Series?

It is a one-dimensional array holding data of any type. It is similar to a column in a table.

import pandas as pd

quantity = [10, 20, 30]

quantity_series = pd.Series(quantity)

print(quantity_series)

Labels

By default the values are labeled with their index number. These labels can then be used to access the elements. For example: The first element of the series is accessed by quantity_series[0].

Custom Labels

We can index the elemts in the series with our own labels.

quantity = [10, 20, 30]

quantity_series = pd.Series(quantity, index = ["Sugar", "Salt", "Pepper"])

print(quantity_series["Sugar"])

Key/Value Objects in a Series

Objects that follow key:value format(Dictionaries) can also be used to create series. The key becomes the index and the value becomes the column element.

pantry={'eggs':10,'butter(tbsp)':20,'sugar(oz)':30,'salt(oz)':40}

pantry_series = pd.Series(pantry)
print(pantry_series)
pantry_series_slice = pd.Series(pantry, index = ['eggs', 'butter(tbsp)'])
print(pantry_series_slice)

Key Points