Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Store Scraped Data Into a Pandas DataFrame | Automating Data Collection from Web Sources
Automating Data Collection from Web Sources
course content

Kursinnhold

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.

Oppgave

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.

Løsning

Mark tasks as Completed
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 1. Kapittel 5
AVAILABLE TO ULTIMATE ONLY
Vi beklager at noe gikk galt. Hva skjedde?
some-alt