Creating Series from list and dictionary in Pandas - Try It Yourself

Creating Series from list and dictionary

📖 Scenario: You work in a small shop that tracks daily sales. You want to organize sales data using pandas Series to analyze it easily.

🎯 Goal: Learn how to create pandas Series from a list and a dictionary, then display the results.

📋 What You'll Learn

Create a pandas Series from a list of sales numbers

Create a pandas Series from a dictionary of product sales

Print both Series to see the data

💡 Why This Matters

🌍 Real World

Organizing sales or measurement data in Series helps in quick analysis and visualization.

💼 Career

Data scientists and analysts often convert raw data into Series for easy manipulation and insights.

1

Create a pandas Series from a list

Import pandas as pd. Create a list called daily_sales with these exact values: 100, 150, 200, 130, 170. Then create a pandas Series called sales_series from the daily_sales list.

Pandas

import pandas as pd
# Create the list daily_sales with values 100, 150, 200, 130, 170
# Create the pandas Series sales_series from daily_sales
# Your code here

Need a hint?

Use pd.Series() to convert a list into a Series.

2

Create a pandas Series from a dictionary

Create a dictionary called product_sales with these exact entries: 'Apples': 30, 'Bananas': 45, 'Oranges': 25. Then create a pandas Series called product_series from the product_sales dictionary.

Pandas

import pandas as pd

daily_sales = [100, 150, 200, 130, 170]
sales_series = pd.Series(daily_sales)
# Create the dictionary product_sales with Apples, Bananas, Oranges and their sales
# Create the pandas Series product_series from product_sales
# Your code here

Need a hint?

Use pd.Series() with a dictionary to create a Series with labels.

3

Print both Series to see the data

Use two print() statements to display the sales_series and product_series.

Pandas

import pandas as pd

daily_sales = [100, 150, 200, 130, 170]
sales_series = pd.Series(daily_sales)

product_sales = {'Apples': 30, 'Bananas': 45, 'Oranges': 25}
product_series = pd.Series(product_sales)
# Print sales_series
# Print product_series
# Your code here

Need a hint?

Use print() to show the Series data.

4

Final output check

Run the program to see the printed Series from the list and dictionary.

Pandas

import pandas as pd

daily_sales = [100, 150, 200, 130, 170]
sales_series = pd.Series(daily_sales)

product_sales = {'Apples': 30, 'Bananas': 45, 'Oranges': 25}
product_series = pd.Series(product_sales)

print(sales_series)
print(product_series)
# Run the code to see the output

Need a hint?

The output shows the Series with index labels and values.