Note: While you need lxml installed, you don't need to import it in your program for Pandas to work. Tables = pd.read_html( 'table_data.html')ĭf1 = tables # Save first table in variable df1ĭf2 = tables # Saving next table in variable df2 print( 'First Table') The code below demonstrates use of read_html() function to read tables from HTML file: import pandas as pd We access each table as a DataFrame by indexing the list. It returns a list of DataFrames, where each DataFrame is an entire table element of the given HTML file. Once lmxl is installed, we can use the read_html() function. For the read_html() function to work you need to install lxml: $ pip install lxml Pandas needs help from another library, called lxml to parse HTML and XML files. Save the following HTML content in a file called table_data.html: Table Data Programming Language Creator Year C Dennis Ritchie 1972 Python Guido Van Rossum 1989 Ruby Yukihiro Matsumoto 1995 The other table has land sizes and their cost in USD. One table contains programming languages and the year of their creation. Reading HTML Data From a Fileįor this section, we'll use one set of input data. Let's have a look at each input source one by one. This function read tables of HTML files as Pandas DataFrames. We can read tables of an HTML file using the read_html() function. This article does not include parsing the entire HTML file. Note: In this article, we will read and write HTML elements.
#Html tables how to#
We'll also learn how to write data from a Pandas DataFrame and to an HTML file. In this article, we will learn how to read tabular data from an HTML file and load it into a Pandas DataFrame.
The Pandas data analysis library provides functions like read_html() and to_html() so we can import and export data to DataFrames. We can render tabular data using HTML's element. Hypertext Markup Language (HTML) is the standard markup language for building web pages.
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