Glancing through the table, it appears we can remove the rows that contain NaN values without losing any data points. These values cause troubles for us when doing data analysis, so most of the time we’ll remove them. Next, we’ll clean those NaN values, which were created by the function tabula.read_pdf(), for whenever a particular cell is blank. Then, we assign the clean string values back to the dataframe’s header (columns) Step 3.
replace() function to replace “\r” with a space. str returns all of the string values of the header, then we can perform the. We can replace the “\r” in the header by doing the following: df.columns = df.('\r', ' ') df.columns returns the dataframe header names. We’ll have to do a little bit further clean up to make the data useful. We immediately see two problems with this unprocessed table: the header row contains weird letters “\r”, and there are many NaN values.
Let’s take a look at the data by inspecting the first 10 rows with. Add Java to PATHīy default, tabula-py will extract tables from PDF file into a pandas dataframe. I used the default installation, so the Java folder is C:\Program Files (x86)\Java\jre1.8.0_251\bin on my laptop. Simply add your Java installation folder to the PATH variable. Which is due to Java folder is not in the PATH system variable. 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: : `java` command is not found from this Python process.Please ensure Java is installed and PATH is set for `java` import tabulaĭf = tabula.read_pdf('data.pdf', pages = 3, lattice = True) Thus we specify that we want to get the second element of that list using. For some reason, tabula detected 8 tables on this page, looking through them, we see that the second table is what we want to extract.
tabula.read_pdf() returns a list of dataframes. We are going to extract the table on page 3 of the PDF file. Once you have Java, install tabula-py with pip: pip install tabula-py The installation takes about 1 minute, and you can follow this link to find the Java installation file for your operating system. It means that we need to install Java first. Tabula-py is a Python wrapper of tabula-java, which can read tables in PDF file. COVID-19 cases by country Download Step 1.
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