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Learn Store Scraped Data Into a Pandas DataFrame | Web Scraping
Automating Data Collection from Web Sources
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Course Content

Automating Data Collection from Web Sources

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Store Scraped Data Into a Pandas DataFrame

Storing scraped data in a pandas DataFrame is a convenient way to manipulate and work with the data. pandas is a powerful library in Python that provides easy-to-use data structures and data analysis tools.

A DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it as a spreadsheet, SQL table, or a dictionary of Series objects. It is generally the most commonly used pandas object.

Task

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  1. Import pandas and initialize an empty DF;
  2. Scrape the country name (find all instances on the web page);
  3. Scrape the capital city (find all instances on the web page);
  4. Append the scraped values (country_name, item) in the df.

Solution

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SectionΒ 1. ChapterΒ 5

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course content

Course Content

Automating Data Collection from Web Sources

book
Store Scraped Data Into a Pandas DataFrame

Storing scraped data in a pandas DataFrame is a convenient way to manipulate and work with the data. pandas is a powerful library in Python that provides easy-to-use data structures and data analysis tools.

A DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it as a spreadsheet, SQL table, or a dictionary of Series objects. It is generally the most commonly used pandas object.

Task

Swipe to start coding

  1. Import pandas and initialize an empty DF;
  2. Scrape the country name (find all instances on the web page);
  3. Scrape the capital city (find all instances on the web page);
  4. Append the scraped values (country_name, item) in the df.

Solution

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 1. ChapterΒ 5
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