A table representing user data in rows and columns arrangement is known as HTML Table, which looks like a spreadsheet. With the help of HTML tables, we can arrange data like images, text, links, and so on into rows and columns of cells.
Three main parts of the HTML table:
- <tr>: element that defines a table row.
- <th>: element that defines a table header.
- <td>: element that defines a table cell.
In Pandas, we can read tables of an HTML file using the read_html() function. This function reads the table of the HTML file as Pandas DataFrames and can read from a file or a URL. We can also get data from an HTML table using this same read_html() function, which is simpler and faster. The scraped tables need some cleaning processing. This function also provides an interesting input parameter called the match, which can be exploited to extract very specific tables within a complex HTML page. This Pandas read_html() function mainly extracts data from HTML tables and returns a list of all the tables. Note that the pandas read_html function only returns a list of Pandas DataFrame objects.
Here is an example of how to implement an HTML table in Pandas with a single header row: