Contenido del Curso
Best Practices: Web Scraping
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.
Tarea
- Import
pandasand initialize an empty DF; - Scrape the country name (find all instances on the web page);
- Scrape the capital city (find all instances on the web page);
- Append the scraped values (
country_name,item) in thedf.
Tarea
- Import
pandasand initialize an empty DF; - Scrape the country name (find all instances on the web page);
- Scrape the capital city (find all instances on the web page);
- Append the scraped values (
country_name,item) in thedf.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
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.
Tarea
- Import
pandasand initialize an empty DF; - Scrape the country name (find all instances on the web page);
- Scrape the capital city (find all instances on the web page);
- Append the scraped values (
country_name,item) in thedf.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones