tabula-py

tabula-py is a simple Python wrapper of tabula-java, which can read table of PDF. You can read tables from PDF and convert into pandas's DataFrame.

Requirements

• Java
  • Confirmed working with Java 7, 8
• pandas

OS

I confirmed working on macOS and Ubuntu. I can't fully support Windows environment.

Usage

Install

pip install tabula-py

If you want to become a contributor, you can install dependency for development of tabula-py as follows:

pip install -r requirements.txt -c constraints.txt

Example

tabula-py enables you to extract table from PDF into DataFrame and JSON. It also can extract tables from PDF and save file as CSV, TSV or JSON.

import tabula

# Read pdf into DataFrame
df = tabula.read_pdf("test.pdf", options)

# Read remote pdf into DataFrame
df2 = tabula.read_pdf("https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf")

# convert PDF into CSV
tabula.convert_into("test.pdf", "output.csv", output_format="csv")

# convert all PDFs in a directory
tabula.convert_into_by_batch("input_directory", output_format='csv')

See example notebook

Get tabula-py working (Windows 10)

This instruction is originally written by @lahoffm. Thanks!

• If you don't have it already, install Java
• Try to run example code (replace the appropriate PDF file name).
• If there's a FileNotFoundError when it calls read_pdf(), and when you type java on command line it says 'java' is not recognized as an internal or external command, operable program or batch file, you should set PATH environment variable to point to the Java directory.
• Find the main Java folder like jre... or jdk.... On Windows 10 it was under C:\Program Files\Java
• On Windows 10: Control Panel -> System and Security -> System -> Advanced System Settings -> Environment Variables -> Select PATH --> Edit
• Add the bin folder like C:\Program Files\Java\jre1.8.0_144\bin, hit OK a bunch of times.
• On command line, java should now print a list of options, and tabula.read_pdf() should run.

Options

• pages (str, int, list of int, optional)
  • An optional values specifying pages to extract from. It allows str, int, list of int.
  • Example: 1, '1-2,3', 'all' or [1,2]. Default is 1
• guess (bool, optional):
  • Guess the portion of the page to analyze per page. Default True
• area (list of float, optional):
  • Portion of the page to analyze(top,left,bottom,right).
  • Example: [269.875, 12.75, 790.5, 561]. Default is entire page
• lattice (bool, optional):
  • [spreadsheet option is deprecated] Force PDF to be extracted using lattice-mode extraction (if there are ruling lines separating each cell, as in a PDF of an Excel spreadsheet).
• stream (bool, optional):
  • [nospreadsheet option is deprecated] Force PDF to be extracted using stream-mode extraction (if there are no ruling lines separating each cell, as in a PDF of an Excel spreadsheet)
• password (bool, optional):
  • Password to decrypt document. Default is empty
• silent (bool, optional):
  • Suppress all stderr output.
• columns (list, optional):
  • X coordinates of column boundaries.
  • Example: [10.1, 20.2, 30.3]
• output_format (str, optional):
  • Format for output file or extracted object.
  • For read_pdf(): json, dataframe
  • For convert_into(): csv, tsv, json
• output_path (str, optional):
  • Output file path. File format of it is depends on format.
  • Same as --outfile option of tabula-java.
• java_options (list, optional):
  • Set java options like -Xmx256m.
• pandas_options (dict, optional):
  • Set pandas options like {'header': None}.
• multiple_tables (bool, optional):
  • (Experimental) Extract multiple tables.
  • This option uses JSON as an intermediate format, so if tabula-java output format will change, this option doesn't work.

FAQ

tabula-py does not work

There are several possible reasons, but tabula-py is just a wrapper of tabula-java, make sure you've installed Java and you can use java command on your terminal. Many issue reporters forget to set PATH for java command.

I can't from tabula import read_pdf

If you've installed tabula, it will be conflict the namespace. You should install tabula-py after removing tabula.

pip uninstall tabula
pip install tabula-py

The result is different from tabula-java. Or, stream option seems not to work appropreately

tabula-py set guess option True by default, for beginners. It is known to make a conflict between stream option. If you feel something strange with your result, please set guess=False.

Can I use option xxx?

Yes. You can use options argument as following. The format is same as cli of tabula-java.

read_pdf(file_path, options="--columns 10.1,20.2,30.3")

How can I ignore useless area?

In short, you can extract with area and spreadsheet option.

In [4]: tabula.read_pdf('./table.pdf', spreadsheet=True, area=(337.29, 226.49, 472.85, 384.91))
Picked up JAVA_TOOL_OPTIONS: -Dfile.encoding=UTF-8
Out[4]:
  Unnamed: 0 Col2 Col3 Col4 Col5
0          A    B   12    R    G
1        NaN    R    T   23    H
2          B    B   33    R    A
3          C    T   99    E    M
4          D    I   12   34    M
5          E    I    I    W   90
6        NaN    1    2    W    h
7        NaN    4    3    E    H
8          F    E   E4    R    4

How to use area option

According to tabula-java wiki, there is a explain how to specify the area: https://github.com/tabulapdf/tabula-java/wiki/Using-the-command-line-tabula-extractor-tool#grab-coordinates-of-the-table-you-want

For example, using macOS's preview, I got area information of this PDF:

java -jar ./target/tabula-1.0.1-jar-with-dependencies.jar -p all -a $y1,$x1,$y2,$x2 -o $csvfile $filename

given

Note the left, top, height, and width parameters and calculate the following:

y1 = top
x1 = left
y2 = top + height
x2 = left + width

I confirmed with tabula-java:

java -jar ./tabula/tabula-1.0.1-jar-with-dependencies.jar -a "337.29,226.49,472.85,384.91" table.pdf

Without -r(same as --spreadsheet) option, it does not work properly.

I faced CParserError. How can I extract multiple tables?

Use mutiple_tables option. Note: This option is experimental.