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    "info": {
        "author": "Aki Ariga",
        "author_email": "chezou@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Text Processing :: General"
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        "description": "# tabula-py\n\n[![Build Status](https://travis-ci.org/chezou/tabula-py.svg?branch=master)](https://travis-ci.org/chezou/tabula-py)\n[![PyPI version](https://badge.fury.io/py/tabula-py.svg)](https://badge.fury.io/py/tabula-py)\n[![Patreon](https://img.shields.io/badge/patreon-donate-orange.svg)](https://www.patreon.com/chezou)\n\n\n`tabula-py` is a simple Python wrapper of [tabula-java](https://github.com/tabulapdf/tabula-java), which can read table of PDF.\nYou can read tables from PDF and convert into pandas's DataFrame. tabula-py also enables you to convert a PDF file into CSV/TSV/JSON file.\n\nYou can see [the example notebook](https://nbviewer.jupyter.org/github/chezou/tabula-py/blob/master/examples/tabula_example.ipynb) and try it on Google Colab.\n\n![](./example.png)\n\n\n# Requirements\n\n- Java\n  - Confirmed working with Java 7, 8\n\n## OS\n\nI confirmed working on macOS and Ubuntu. But some people confirm it works on Windows 10. See also following the setting procedure.\n\n# Usage\n\n## Install\n\n```bash\npip install tabula-py\n```\n\nIf you want to become a contributor, you can install dependency after cloning the repo as follows:\n\n```bash\npip install -e .[dev, test]\npip install nox\n```\n\nFor running text and liter, run nox command.\n\n```bash\nnox .\n```\n\n## Example\n\ntabula-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.\n\n```py\nimport tabula\n\n# Read pdf into DataFrame\ndf = tabula.read_pdf(\"test.pdf\", pages='all')\n\n# Read remote pdf into DataFrame\ndf2 = tabula.read_pdf(\"https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf\")\n\n# convert PDF into CSV\ntabula.convert_into(\"test.pdf\", \"output.csv\", output_format=\"csv\", pages='all')\n\n# convert all PDFs in a directory\ntabula.convert_into_by_batch(\"input_directory\", output_format='csv', pages='all)\n```\n\nSee [example notebook](./examples/tabula_example.ipynb) for more detail. I also recommend to read [the tutorial article](https://aegis4048.github.io/parse-pdf-files-while-retaining-structure-with-tabula-py) written by [@aegis4048](https://github.com/aegis4048).\n\n## Get tabula-py working (Windows 10)\n\nThis instruction is originally written by [@lahoffm](https://github.com/lahoffm). Thanks!\n\n- If you don't have it already, install [Java](https://www.java.com/en/download/manual.jsp)\n- Try to run example code (replace the appropriate PDF file name).\n- If there's a `FileNotFoundError` when it calls `read_pdf()`, and when you type `java` on command line it says\n`'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.\n- Find the main Java folder like `jre...` or `jdk...`. On Windows 10 it was under `C:\\Program Files\\Java`\n- On Windows 10: **Control Panel** -> **System and Security** -> **System** -> **Advanced System Settings** -> **Environment Variables** -> Select **PATH** --> **Edit**\n- Add the `bin` folder like `C:\\Program Files\\Java\\jre1.8.0_144\\bin`, hit OK a bunch of times.\n- On command line, `java` should now print a list of options, and `tabula.read_pdf()` should run.\n\n## Options\n\n- pages (str, int, `list` of `int`, optional)\n  - An optional values specifying pages to extract from. It allows `str`, `int`, `list` of `int`.\n  - Example: 1, '1-2,3', 'all' or [1,2]. Default is 1\n- guess (bool, optional):\n  - Guess the portion of the page to analyze per page. Default `True`\n  - Note that as of tabula-java 1.0.3, guess option becomes independent from lattice and stream option, you can use guess and lattice/stream option at the same time.\n- area (`list` of `float`, optional):\n  - Portion of the page to analyze(top,left,bottom,right).\n  - Example: `[269.875, 12.75, 790.5, 561]`  or `[[12.1,20.5,30.1,50.2],[1.0,3.2,10.5,40.2]]`. Default is entire page\n- relative_area (bool, optional):\n  - If all area values are between 0-100 (inclusive) and preceded by '%', input will be taken as % of actual height or width of the page. Default `False`.\n- lattice (bool, optional):\n  - (`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).\n- stream (bool, optional):\n  - (`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)\n- password (bool, optional):\n  - Password to decrypt document. Default is empty\n- silent (bool, optional):\n  - Suppress all stderr output.\n- columns (list, optional):\n  - X coordinates of column boundaries.\n  - Example: `[10.1, 20.2, 30.3]`\n- output_format (str, optional):\n  - Format for output file or extracted object.\n  - For `read_pdf()`: `json`, `dataframe`\n  - For `convert_into()`: `csv`, `tsv`, `json`\n- output_path (str, optional):\n  - Output file path. File format of it is depends on `format`.\n  - Same as `--outfile` option of tabula-java.\n- java_options (`list`, optional):\n  - Set java options like `-Xmx256m`.\n- pandas_options (`dict`, optional):\n  - Set pandas options like `{'header': None}`.\n- multiple_tables (bool, optional):\n  - Extract multiple tables.  If used with multiple pages (e.g. `pages='all'`) will extract separate tables from each page.\n  - This option uses JSON as an intermediate format, so if tabula-java output format will change, this option doesn't work.\n- user_agent (str, optional)\n  - Set a custom user-agent when download a pdf from a url. Otherwise it uses the default urllib.request user-agent\n\n\n## FAQ\n\n### `tabula-py` does not work\n\nThere are several possible reasons, but `tabula-py` is just a wrapper of [`tabula-java`](https://github.com/tabulapdf/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.\n\nYou can check whether tabula-py can call `java` from Python process with `tabula.environment_info()` function.\n\n### I can't `from tabula import read_pdf`\n\nIf you've installed `tabula`, it will be conflict the namespace. You should install `tabula-py` after removing `tabula`.\n\n```bash\npip uninstall tabula\npip install tabula-py\n```\n\n### The result is different from `tabula-java`. Or, `stream` option seems not to work appropreately\n\n`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`.\n\n### Can I use option `xxx`?\n\nYes. You can use `options` argument as following. The format is same as cli of tabula-java.\n\n```python\nread_pdf(file_path, options=\"--columns 10.1,20.2,30.3\")\n```\n\n### How can I ignore useless area?\n\nIn short, you can extract with `area` and `spreadsheet` option.\n\n```python\nIn [4]: tabula.read_pdf('./table.pdf', spreadsheet=True, area=(337.29, 226.49, 472.85, 384.91))\nPicked up JAVA_TOOL_OPTIONS: -Dfile.encoding=UTF-8\nOut[4]:\n  Unnamed: 0 Col2 Col3 Col4 Col5\n0          A    B   12    R    G\n1        NaN    R    T   23    H\n2          B    B   33    R    A\n3          C    T   99    E    M\n4          D    I   12   34    M\n5          E    I    I    W   90\n6        NaN    1    2    W    h\n7        NaN    4    3    E    H\n8          F    E   E4    R    4\n```\n\n#### How to use `area` option\n\nAccording to tabula-java wiki, there is a explain how to specify the area:\nhttps://github.com/tabulapdf/tabula-java/wiki/Using-the-command-line-tabula-extractor-tool#grab-coordinates-of-the-table-you-want\n\nFor example, using macOS's preview, I got area information of this [PDF](https://github.com/chezou/tabula-py/files/711877/table.pdf):\n\n![image](https://cloud.githubusercontent.com/assets/916653/22047470/b201de24-dd6a-11e6-9cfc-7bc73e33e3b2.png)\n\n\n```bash\njava -jar ./target/tabula-1.0.1-jar-with-dependencies.jar -p all -a $y1,$x1,$y2,$x2 -o $csvfile $filename\n```\n\ngiven\n\n```python\n# Note the left, top, height, and width parameters and calculate the following:\n\ny1 = top\nx1 = left\ny2 = top + height\nx2 = left + width\n```\n\nI confirmed with tabula-java:\n\n```bash\njava -jar ./tabula/tabula-1.0.1-jar-with-dependencies.jar -a \"337.29,226.49,472.85,384.91\" table.pdf\n```\n\nWithout `-r`(same as `--spreadsheet`) option, it does not work properly.\n\n### I faced `ParserError: Error tokenizing data. C error`. How can I extract multiple tables?\n\nThis error occurs pandas trys to extract multiple tables with different column size at once.\nUse `multiple_tables` option, then you can avoid this error.\n\n### I want to prevent tabula-py from stealing focus on every call on my mac\n\nSet `java_options=[\"-Djava.awt.headless=true\"]`. kudos [@jakekara](https://twitter.com/jakekara/status/979031539697831937)\n\n### I got `?` character with result on Windows. How can I avoid it?\n\nIf the encoding of PDF is UTF-8, you should set `chcp 65001` on your terminal before launching a Python process.\n\n```sh\nchcp 65001\n```\n\nThen you can extract UTF-8 PDF with `java_options=\"-Dfile.encoding=UTF8\"` option. This option will be added with `encoding='utf-8'` option, which is also set by default.\n\n```python\n# This is an example for java_options is set explicitly\ndf = read_pdf(file_path, java_options=\"-Dfile.encoding=UTF8\")\n```\n\nReplace `65001` and `UTF-8` appropriately, if the file encoding isn't UTF-8.\n\n### I can't extract file/directory name with space on Windows\n\nYou should escape file/directory name yourself.\n\n\n### I want to use a different tabula .jar  file\nYou can specify the jar location via enviroment variable\n```bash\nexport TABULA_JAR=\".../tabula-x.y.z-jar-with-dependencies.jar\"\n```\n\n### I want to extract multiple tables from a document\nYou can use the following example code\n```\ndf = read_pdf(file_path, multiple_tables=True)\n```\nThe result will be a list of DataFrames.  If you want separate tables across all pages in a document, use the `pages` argument.\n\n### Table cell contents sometimes overflow into the next row.\nYou can try using `lattice=True`, which will often work if there are lines separating cells in the table.\n\n\n## Contributing\n\nInterested in helping out? I'd love to have your help!\n\nYou can help by:\n\n- [Reporting a bug](https://github.com/tabulapdf/tabula-py/issues).\n- Adding or editing documentation.\n- Contributing code via a Pull Request.\n- Write a blog post or spreading the word about `tabula-py` to people who might be able to benefit from using it.\n\n\n### Contributors\n\n- [@lahoffm](https://github.com/lahoffm)\n- [@jakekara](https://github.com/jakekara)\n- [@lcd1232](https://github.com/lcd1232)\n- [@kirkholloway](https://github.com/kirkholloway)\n- [@CurtLH](https://github.com/CurtLH)\n- [@nikhilgk](https://github.com/nikhilgk)\n- [@krassowski](https://github.com/krassowski)\n- [@alexandreio](https://github.com/alexandreio)\n- [@rmnevesLH](https://github.com/rmnevesLH)\n- [@red-bin](https://github.com/red-bin)\n- [@Gallaecio](https://github.com/Gallaecio)\n\n### Another support\n\nYou can also support our continued work on `tabula-py` with a donation [on Patreon](https://www.patreon.com/chezou).\n\n\n",
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