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        "author": "Kenneth Reitz",
        "author_email": "me@kennethreitz.org",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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        "description": "# Tablib: format-agnostic tabular dataset library\n\n[![Jazzband](https://jazzband.co/static/img/badge.svg)](https://jazzband.co/)\n[![Build Status](https://travis-ci.org/jazzband/tablib.svg?branch=master)](https://travis-ci.org/jazzband/tablib)\n[![codecov](https://codecov.io/gh/jazzband/tablib/branch/master/graph/badge.svg)](https://codecov.io/gh/jazzband/tablib)\n\n    _____         ______  ___________ ______\n    __  /_______ ____  /_ ___  /___(_)___  /_\n    _  __/_  __ `/__  __ \\__  / __  / __  __ \\\n    / /_  / /_/ / _  /_/ /_  /  _  /  _  /_/ /\n    \\__/  \\__,_/  /_.___/ /_/   /_/   /_.___/\n\n\nTablib is a format-agnostic tabular dataset library, written in Python.\n\nOutput formats supported:\n\n- Excel (Sets + Books)\n- JSON (Sets + Books)\n- YAML (Sets + Books)\n- Pandas DataFrames (Sets)\n- HTML (Sets)\n- Jira (Sets)\n- TSV (Sets)\n- ODS (Sets)\n- CSV (Sets)\n- DBF (Sets)\n\nNote that tablib *purposefully* excludes XML support. It always will. (Note: This is a\njoke. Pull requests are welcome.)\n\n\n## Overview\n\n`tablib.Dataset()`\n\nA Dataset is a table of tabular data.\nIt may or may not have a header row.\nThey can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries).\nDatasets can be imported from JSON, YAML, DBF, and CSV;\nthey can be exported to XLSX, XLS, ODS, JSON, YAML, DBF, CSV, TSV, and HTML.\n\n`tablib.Databook()`\n\nA Databook is a set of Datasets.\nThe most common form of a Databook is an Excel file with multiple spreadsheets.\nDatabooks can be imported from JSON and YAML;\nthey can be exported to XLSX, XLS, ODS, JSON, and YAML.\n\n\n## Usage\n\nPopulate fresh data files:\n\n```python\nheaders = ('first_name', 'last_name')\n\ndata = [\n    ('John', 'Adams'),\n    ('George', 'Washington')\n]\n\ndata = tablib.Dataset(*data, headers=headers)\n```\n\nIntelligently add new rows:\n\n```python\n>>> data.append(('Henry', 'Ford'))\n```\n\nIntelligently add new columns:\n\n```python\n>>> data.append_col((90, 67, 83), header='age')\n```\n\nSlice rows:\n\n```python\n>>> print(data[:2])\n[('John', 'Adams', 90), ('George', 'Washington', 67)]\n```\n\nSlice columns by header:\n\n```python\n>>> print(data['first_name'])\n['John', 'George', 'Henry']\n```\n\nEasily delete rows:\n\n```python\n>>> del data[1]\n```\n\n\n## Exports\n\nDrumroll please...........\n\n### JSON!\n\n```python\n>>> print(data.export('json'))\n[\n  {\n    \"last_name\": \"Adams\",\n    \"age\": 90,\n    \"first_name\": \"John\"\n  },\n  {\n    \"last_name\": \"Ford\",\n    \"age\": 83,\n    \"first_name\": \"Henry\"\n  }\n]\n```\n\n### YAML!\n\n```python\n>>> print(data.export('yaml'))\n- {age: 90, first_name: John, last_name: Adams}\n- {age: 83, first_name: Henry, last_name: Ford}\n```\n\n### CSV...\n\n```python\n>>> print(data.export('csv'))\nfirst_name,last_name,age\nJohn,Adams,90\nHenry,Ford,83\n```\n\n### EXCEL!\n\n```python\n>>> with open('people.xls', 'wb') as f:\n...     f.write(data.export('xls'))\n```\n\n### DBF!\n\n```python\n>>> with open('people.dbf', 'wb') as f:\n...     f.write(data.export('dbf'))\n```\n\n### Pandas DataFrame!\n\n```python\n>>> print(data.export('df')):\n      first_name last_name  age\n0       John     Adams   90\n1      Henry      Ford   83\n```\n\nIt's that easy.\n\n\n## Installation\n\nTo install tablib, simply:\n\n```console\n$ pip install tablib[pandas]\n```\n\nMake sure to check out [Tablib on PyPI](https://pypi.org/project/tablib/)!\n\n\n## Contribute\n\nPlease see the [contributing guide](https://github.com/jazzband/tablib/blob/master/.github/CONTRIBUTING.md).\n\n\n# History\n\n## 0.14.0 (2019-10-19)\n\n### Deprecations\n\n- The 0.14.x series will be the last to support Python 2\n\n### Breaking changes\n\n- Dropped Python 3.4 support\n\n### Improvements\n\n- Added Python 3.7 and 3.8 support\n- The project is now maintained by the Jazzband team, https://jazzband.co\n- Improved format autodetection and added autodetection for the odf format.\n- Added search to all documentation pages\n- Open xlsx workbooks in read-only mode (#316)\n- Unpin requirements\n- Only install backports.csv on Python 2\n\n### Bugfixes\n\n- Fixed `DataBook().load` parameter ordering (first stream, then format).\n- Fixed a regression for xlsx exports where non-string values were forced to\n  strings (#314)\n- Fixed xlsx format detection (which was often detected as `xls` format)\n\n## 0.13.0 (2019-03-08)\n\n- Added reStructuredText output capability (#336)\n- Added Jira output capability\n- Stopped calling openpyxl deprecated methods (accessing cells, removing sheets)\n  (openpyxl minimal version is now 2.4.0)\n- Fixed a circular dependency issue in JSON output (#332)\n- Fixed Unicode error for the CSV export on Python 2 (#215)\n- Removed usage of optional `ujson` (#311)\n- Dropped Python 3.3 support\n\n## 0.12.1 (2017-09-01)\n\n- Favor `Dataset.export(<format>)` over `Dataset.<format>` syntax in docs\n- Make Panda dependency optional\n\n## 0.12.0 (2017-08-27)\n\n- Add initial Panda DataFrame support\n- Dropped Python 2.6 support\n\n## 0.11.5 (2017-06-13)\n\n- Use `yaml.safe_load` for importing yaml.\n\n## 0.11.4 (2017-01-23)\n\n- Use built-in `json` package if available\n- Support Python 3.5+ in classifiers\n\n### Bugfixes\n\n- Fixed textual representation for Dataset with no headers\n- Handle decimal types\n\n## 0.11.3 (2016-02-16)\n\n- Release fix.\n\n## 0.11.2 (2016-02-16)\n\n### Bugfixes\n\n- Fix export only formats.\n- Fix for xlsx output.\n\n## 0.11.1 (2016-02-07)\n\n### Bugfixes\n\n- Fixed packaging error on Python 3.\n\n\n## 0.11.0 (2016-02-07)\n\n### New Formats!\n\n- Added LaTeX table export format (`Dataset.latex`).\n- Support for dBase (DBF) files (`Dataset.dbf`).\n\n### Improvements\n\n- New import/export interface (`Dataset.export()`, `Dataset.load()`).\n- CSV custom delimiter support (`Dataset.export('csv', delimiter='$')`).\n- Adding ability to remove duplicates to all rows in a dataset (`Dataset.remove_duplicates()`).\n- Added a mechanism to avoid `datetime.datetime` issues when serializing data.\n- New `detect_format()` function (mostly for internal use).\n- Update the vendored unicodecsv to fix `None` handling.\n- Only freeze the headers row, not the headers columns (xls).\n\n### Breaking Changes\n\n- `detect()` function removed.\n\n### Bugfixes\n\n- Fix XLSX import.\n- Bugfix for `Dataset.transpose().transpose()`.\n\n\n## 0.10.0 (2014-05-27)\n\n* Unicode Column Headers\n* ALL the bugfixes!\n\n## 0.9.11 (2011-06-30)\n\n* Bugfixes\n\n## 0.9.10 (2011-06-22)\n\n* Bugfixes\n\n## 0.9.9 (2011-06-21)\n\n* Dataset API Changes\n* `stack_rows` => `stack`, `stack_columns` => `stack_cols`\n* column operations have their own methods now (`append_col`, `insert_col`)\n* List-style `pop()`\n* Redis-style `rpush`, `lpush`, `rpop`, `lpop`, `rpush_col`, and `lpush_col`\n\n## 0.9.8 (2011-05-22)\n\n* OpenDocument Spreadsheet support (.ods)\n* Full Unicode TSV support\n\n\n## 0.9.7 (2011-05-12)\n\n* Full XLSX Support!\n* Pickling Bugfix\n* Compat Module\n\n\n## 0.9.6 (2011-05-12)\n\n* `seperators` renamed to `separators`\n* Full unicode CSV support\n\n\n## 0.9.5 (2011-03-24)\n\n* Python 3.1, Python 3.2 Support (same code base!)\n* Formatter callback support\n* Various bug fixes\n\n\n\n## 0.9.4 (2011-02-18)\n\n* Python 2.5 Support!\n* Tox Testing for 2.5, 2.6, 2.7\n* AnyJSON Integrated\n* OrderedDict support\n* Caved to community pressure (spaces)\n\n\n## 0.9.3 (2011-01-31)\n\n* Databook duplication leak fix.\n* HTML Table output.\n* Added column sorting.\n\n\n## 0.9.2 (2010-11-17)\n\n* Transpose method added to Datasets.\n* New frozen top row in Excel output.\n* Pickling support for Datasets and Rows.\n* Support for row/column stacking.\n\n\n## 0.9.1 (2010-11-04)\n\n* Minor reference shadowing bugfix.\n\n\n## 0.9.0 (2010-11-04)\n\n* Massive documentation update!\n* Tablib.org!\n* Row tagging and Dataset filtering!\n* Column insert/delete support\n* Column append API change (header required)\n* Internal Changes (Row object and use thereof)\n\n\n## 0.8.5 (2010-10-06)\n\n* New import system. All dependencies attempt to load from site-packages,\n  then fallback on tenderized modules.\n\n\n## 0.8.4 (2010-10-04)\n\n* Updated XLS output: Only wrap if '\\\\n' in cell.\n\n\n## 0.8.3 (2010-10-04)\n\n* Ability to append new column passing a callable\n  as the value that will be applied to every row.\n\n\n## 0.8.2 (2010-10-04)\n\n* Added alignment wrapping to written cells.\n* Added separator support to XLS.\n\n\n## 0.8.1 (2010-09-28)\n\n* Packaging Fix\n\n\n## 0.8.0 (2010-09-25)\n\n* New format plugin system!\n* Imports! ELEGANT Imports!\n* Tests. Lots of tests.\n\n\n## 0.7.1 (2010-09-20)\n\n* Reverting methods back to properties.\n* Windows bug compensated in documentation.\n\n\n## 0.7.0 (2010-09-20)\n\n* Renamed DataBook Databook for consistency.\n* Export properties changed to methods (XLS filename / StringIO bug).\n* Optional Dataset.xls(path='filename') support (for writing on windows).\n* Added utf-8 on the worksheet level.\n\n\n## 0.6.4 (2010-09-19)\n\n* Updated unicode export for XLS.\n* More exhaustive unit tests.\n\n\n## 0.6.3 (2010-09-14)\n\n* Added Dataset.append() support for columns.\n\n\n## 0.6.2 (2010-09-13)\n\n* Fixed Dataset.append() error on empty dataset.\n* Updated Dataset.headers property w/ validation.\n* Added Testing Fixtures.\n\n## 0.6.1 (2010-09-12)\n\n* Packaging hotfixes.\n\n\n## 0.6.0 (2010-09-11)\n\n* Public Release.\n* Export Support for XLS, JSON, YAML, and CSV.\n* DataBook Export for XLS, JSON, and YAML.\n* Python Dict Property Support.\n\n\n",
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