In this tutorial, I'll be showing you how to get the library set up on your local machine and then use it to convert PDF to Excel, with Python. Here's an example of a PDF that I've converted with the library.
In order to properly test the library, make sure you have a PDF handy! If you haven't already, install Anaconda on your machine from Anaconda website. You can use either Python 3. Downloading Anaconda means that pip will also be installed. If git is not recognised, download it here. Then, run the above command again. Or if you'd prefer to install it manually, you can download it from python-pdftables-api then install it with:. Now, save your finished script as convert-pdf. Finally, the third line is telling Python to convert the file with name input.
Check out our blog post here. Thus we specify that we want to get the second element of that list using [1]. If this is your first time installing Java and tabula-py , you might get the following error message when running the above 2 lines of code:.
By default, tabula-py will extract tables from PDF file into a pandas dataframe. Glancing through the table, it appears we can remove the rows that contain NaN values without losing any data points.
Lucky for us, pandas provide a convenient way to remove rows with NaN values. The best part? You control what you want to extract, keep, and change!
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