Скачать или смотреть Displaying API Data in Python: How to Fetch and Print COVID-19 Cases by Country

Learn how to access and display COVID-19 case data from an API using Python, including common errors and solutions to print country names and case numbers.
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Displaying API Data in Python: How to Fetch and Print COVID-19 Cases by Country

Fetching and displaying data from an API is a common task in programming, especially when dealing with real-time data like COVID-19 statistics. In this guide, we will explore how to display the number of cases and the names of different countries using Python, specifically leveraging the Flask framework and the requests library.

The Problem

If you're attempting to access COVID-19 case data from an API but encountering errors when trying to print the results, you are not alone. A user reported difficulty in displaying the number of cases and country names from a JSON response. Let's look at the initial code snippet that the user provided:

[[See Video to Reveal this Text or Code Snippet]]

Key Issues in the Code

Use of Variables: The variable i was being reused in both the for loops, which can lead to unexpected behavior.

Accessing Data: The all dictionary was being defined outside of the loop and was not being populated correctly before attempting to print it.

Iteration Limitations: The code limited the output to the first ten countries using a range, but it was not correctly implemented.

The Solution: Step-by-Step

To resolve these issues and effectively print the country names alongside their respective confirmed cases, we can revise the code as follows:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Revised Code

Import Required Libraries: We start by importing the requests library to make HTTP requests to the API.

Fetch the API Data: The requests.get(url).json() call fetches the data from the specified URL and converts it into a JSON object.

Store Data in a List: We iterate through the response data:

Create a temporary dictionary tmp for each country's data.

For each entry (line) in the response, we store the country name and the number of confirmed cases.

Append this information to the data list for easier access later.

Print Results: Finally, we print the entire list, showing the countries and their confirmed case numbers in a structured format.

Conclusion

By following this structured approach, you can easily access and display data from APIs using Python. This method not only helps in printing API data cleanly but also builds the foundation for further manipulations or analyses that you might want to perform later.

Whether you're building a simple web application using Flask or just experimenting with APIs, understanding how to fetch and display data is a critical skill. Keep testing and learning, and you'll become more comfortable with using APIs in no time!

If you have any further questions or need assistance with API usage, feel free to reach out!