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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "\n# Pandas Utility\n\n![GitHub](https://img.shields.io/github/license/mmphego/pandas_utility.svg)\n[![Build Status](https://travis-ci.com/mmphego/pandas_utility.svg?token=BFdkPYZWCqwEmQMyYDLi&branch=master)](https://travis-ci.com/mmphego/pandas_utility)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/43713e0b78f547e8912ff05c9350cffb)](https://app.codacy.com/app/mmphego/pandas_utility?utm_source=github.com&utm_medium=referral&utm_content=mmphego/pandas_utility&utm_campaign=Badge_Grade_Dashboard)\n[![Python](https://img.shields.io/badge/Python-3.6%2B-red.svg)](https://www.python.org/downloads/)\n![PyPI](https://img.shields.io/pypi/v/>pandas_utility.svg?color=green&label=pypi%20release)\n![PyPI - Downloads](https://img.shields.io/pypi/dm/pandas_utility.svg?label=PyPi%20Downloads)\n[![saythanks](https://img.shields.io/badge/say-thanks-ff69b4.svg)](https://saythanks.io/to/mmphego)\n\nSome useful Pandas utility functions.\n\n# Installation\n\nTo install Pandas Utility, run this command in your terminal:\n\n```python\n    pip install pandas_utility\n```\n\nThis is the preferred method to install Pandas Utility,\nas it will always install the most recent stable release.\n\nIf you don't have [pip](https://pip.pypa.io) installed,\nthis [Python installation guide](http://docs.python-guide.org/en/latest/starting/installation/) can guide you through the process.\n\n## From sources\n\nThe sources for Pandas Utility can be downloaded from the [Github repo](https://github.com/mmphego/pandas_utility).\n\nYou can either clone the public repository:\n\n```bash\ngit clone git://github.com/mmphego/pandas_utility\n```\n\nOr download the [tarball](https://github.com/mmphego/pandas_utility/tarball/master):\n\n```bash\ncurl  -OL https://github.com/mmphego/pandas_utility/tarball/master\n```\n\nOnce you have a copy of the source, you can install it with:\n\n```bash\npip install -U .\n```\n\n# Usage\n\n```python\nIn [1]: from pandas_utility import PandasUtilities as utils\n   ...:\n   ...: df = utils.create_random_df(3, 5)\n\nIn [2]: df\nOut[2]:\n          0         1         2         3         4\n0  0.056019  0.608052  0.434670  0.712330  0.602797\n1  0.050986  0.458700  0.899288  0.783495  0.683170\n2  0.232940  0.707126  0.639882  0.675283  0.793030\n\nIn [3]: df = utils.rename_cols(df, new_names=['col A', 'col B', 'col C', 'col D', 'col E'])\n\nIn [4]: df\nOut[4]:\n      col_A     col_B     col_C     col_D     col_E\n0  0.056019  0.608052  0.434670  0.712330  0.602797\n1  0.050986  0.458700  0.899288  0.783495  0.683170\n2  0.232940  0.707126  0.639882  0.675283  0.793030\n\n```\n\n# Oh, Thanks!\n\nBy the way...\nClick if you'd like to [saythanks](https://saythanks.io/to/>mmphego)... :) else *Star* it.\n\n\u2728\ud83c\udf70\u2728\n\n# Feedback\n\nFeel free to fork it or send me PR to improve it.\n\n# Credits\n\nThis package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [mmphego/cookiecutter-python-package](https://github.com/mmphego/cookiecutter-python-package) project template.\n\n\n",
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