Series creation from lists and dicts in Data Analysis Python - Mini Project: Build & Apply

Series creation from lists and dicts

📖 Scenario: You work in a small shop and want to organize your sales data. You have sales numbers and product names in simple lists and dictionaries. You want to turn these into a pandas.Series to analyze them easily.

🎯 Goal: Create pandas.Series from a list and a dictionary. Learn how to set custom indexes and see the data clearly.

📋 What You'll Learn

Use pandas.Series to create series from lists and dictionaries

Set custom index labels for the series

Print the series to see the output

💡 Why This Matters

🌍 Real World

Organizing sales data in a Series helps you quickly analyze monthly sales or product sales in a simple, readable format.

💼 Career

Data analysts and scientists often convert raw data from lists or dictionaries into Series for easy data manipulation and analysis.

1

Create a list of sales numbers

Create a list called sales with these exact numbers: 100, 200, 300, 400, 500.

Data Analysis Python

# Create the list called sales with the numbers 100, 200, 300, 400, 500
# Your code here

Need a hint?

Use square brackets [] to create a list with the numbers separated by commas.

2

Create a Series from the sales list with custom index

Import pandas as pd. Then create a pandas.Series called sales_series from the list sales. Use the index labels 'Jan', 'Feb', 'Mar', 'Apr', 'May' for the series.

Data Analysis Python

import pandas as pd
# Create sales_series from sales with index labels 'Jan', 'Feb', 'Mar', 'Apr', 'May'
# Your code here

Need a hint?

Use pd.Series(data, index=[...]) to create the series with custom index labels.

3

Create a dictionary of product sales

Create a dictionary called product_sales with these exact entries: 'apple': 50, 'banana': 75, 'orange': 100.

Data Analysis Python

# Create the dictionary product_sales with 'apple': 50, 'banana': 75, 'orange': 100
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with key-value pairs separated by colons.

4

Create a Series from the product_sales dictionary and print both series

Create a pandas.Series called product_series from the dictionary product_sales. Then print both sales_series and product_series.

Data Analysis Python

# Create product_series from product_sales
# Print sales_series and product_series
# Your code here

Need a hint?

Use pd.Series() with a dictionary to create the series. Use print() to show the series.