Lære Type Comparisons | Betingede Setninger

This chapter focuses on Type Comparisons in Python. You will learn how to check and compare data types to ensure your variables hold the expected kind of data, which is essential for writing reliable programs.

Verifying Data Types

Understanding the type of data you're dealing with in Python is crucial, especially when managing the diverse needs of a grocery store system. The type() function is invaluable as it helps ensure you're working with the correct data types — such as strings for product names, floats for prices, and integers for stock quantities.

This not only prevents bugs but also makes data manipulations and comparisons more appropriate and reliable.

The following code demonstrates basic type comparisons using the type() function. You will see how to check if variables are of specific data types, such as string and integer, which is a common way to ensure your data is handled correctly in Python.


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# Basic type comparisons using type()
value1 = "apple"
value2 = 100

# Check if value1 is a string
is_value1_str = type(value1) == str

# Check if value2 is an integer
is_value2_int = type(value2) == int

print("Is value1 a string?", is_value1_str)
print("Is value2 an integer?", is_value2_int)

In the following example, we illustrate how type() can be used to verify that the data entered into the system meets the expected criteria, which is a common necessity in managing grocery store data to prevent errors during checkout or inventory updates:


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# Sample data received from a cashier or inventory management system
product_name = "Almond Milk"
product_price = "3.49"
product_quantity = 30

# Checking if the data types are as expected
correct_name_type = type(product_name) == str
correct_price_type = type(product_price) == float  # Intentional error for demonstration
correct_quantity_type = type(product_quantity) == int

# Print the results to verify data types
print("Is product_name a string?", correct_name_type)
print("Is product_price a float?", correct_price_type)  # Expected: False, actual data type is a string
print("Is product_quantity an integer?", correct_quantity_type)

print("Data type check complete. Please review and correct any 'False' outcomes for data corrections.")

Oppgave

Swipe to start coding

You are managing data for a new product that has just been added to a grocery store system. Your task is to analyze the product information using type comparisons.

Use the type() function to verify the data types:
- Check if price is of type float. Store the result in price_is_float.
- Check if count is of type int. Store the result in count_is_int.
Print the results exactly in the following format:

"Is price a float?:" <price_is_float>
"Is count an integer?:" <count_is_int>

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Suggested prompts:

Can you explain why the check for `product_price` as a float returns False?

How can I convert `product_price` to the correct data type?

What should I do if one of the data type checks returns False?

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