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Pandasdata~15 mins

Date range creation with date_range in Pandas - Mini Project: Build & Apply

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Date range creation with date_range
📖 Scenario: You work in a small business that tracks daily sales. You want to create a list of dates to analyze sales data for a specific period.
🎯 Goal: Create a date range using pandas date_range function to generate daily dates between two given dates.
📋 What You'll Learn
Use pandas library
Create a date range from a start date to an end date
Store the date range in a variable
Print the date range
💡 Why This Matters
🌍 Real World
Businesses often need to analyze data over specific time periods. Creating date ranges helps organize and prepare data for daily, weekly, or monthly reports.
💼 Career
Data analysts and scientists frequently generate date ranges to filter, group, or visualize time series data in their work.
Progress0 / 4 steps
1
Import pandas and create start and end date strings
Import the pandas library as pd. Then create two string variables: start_date with value '2024-01-01' and end_date with value '2024-01-07'.
Pandas
Need a hint?

Use import pandas as pd to import pandas. Assign the dates as strings to variables start_date and end_date.

2
Create a date range variable using pd.date_range
Create a variable called dates that uses pd.date_range with start_date and end_date as arguments to generate daily dates.
Pandas
Need a hint?

Use pd.date_range(start=start_date, end=end_date) to create the date range.

3
Check the type and length of the date range
Use a print statement to display the type of dates using type(dates) and the length of dates using len(dates).
Pandas
Need a hint?

Use print(type(dates)) and print(len(dates)) to check the object and how many dates it contains.

4
Print the full date range
Print the variable dates to display all the dates in the range.
Pandas
Need a hint?

Use print(dates) to show all the dates in the range.