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        "description": "[![licence](http://img.shields.io/badge/licence-MIT-blue.svg?style=flat)](https://github.com/amueller/word_cloud/blob/master/LICENSE)\n[![DOI](https://zenodo.org/badge/21369/amueller/word_cloud.svg)](https://zenodo.org/badge/latestdoi/21369/amueller/word_cloud)\n\n|      | Linux                                        | macOS                                        | Windows                                      |\n|------|----------------------------------------------|----------------------------------------------|----------------------------------------------|\n| PyPI | [![CircleCI][circleci_image]][circleci_link] | [![TravisCI][travisci_image]][travisci_link] | [![AppVeyor][appveyor_image]][appveyor_link] |\n\n[circleci_link]: https://circleci.com/gh/amueller/word_cloud/tree/master\n[circleci_image]: https://circleci.com/gh/amueller/word_cloud/tree/master.svg?style=svg\n\n[travisci_link]: https://travis-ci.org/amueller/word_cloud\n[travisci_image]: https://travis-ci.org/amueller/word_cloud.svg?branch=master\n\n[appveyor_link]: https://ci.appveyor.com/project/amueller/word-cloud/branch/master\n[appveyor_image]: https://img.shields.io/appveyor/ci/amueller/word-cloud/master.svg\n\nword_cloud\n==========\n\nA little word cloud generator in Python. Read more about it on the [blog\npost][blog-post] or the [website][website].\n\nThe code is tested against Python 2.7, 3.4, 3.5, 3.6 and 3.7.\n\n## Installation\n\nIf you are using pip:\n\n    pip install wordcloud\n\nIf you are using conda, you can install from the `conda-forge` channel:\n\n    conda install -c conda-forge wordcloud\n\n\n#### Installation notes\n\nwordcloud depends on `numpy` and `pillow`.\n\nTo save the wordcloud into a file, `matplotlib` can also be installed. See [examples](#examples) below.\n\nIf there are no wheels available for your version of python, installing the\npackage requires having a C compiler set up. Before installing a compiler, report\nan issue describing the version of python and operating system being used.\n\n\n## Examples\n\nCheck out [examples/simple.py][simple] for a short intro. A sample output is:\n\n![Constitution](examples/constitution.png)\n\nOr run [examples/masked.py][masked] to see more options. A sample output is:\n\n![Alice in Wonderland](examples/alice.png)\n\nGetting fancy with some colors:\n![Parrot with rainbow colors](examples/parrot.png)\n\n\n## Command-line usage\n\nThe `wordcloud_cli` tool can be used to generate word clouds directly from the command-line:\n\n\t$ wordcloud_cli --text mytext.txt --imagefile wordcloud.png\n\nIf you're dealing with PDF files, then `pdftotext`, included by default with many Linux distribution, comes in handy:\n\n\t$ pdftotext mydocument.pdf - | wordcloud_cli --imagefile wordcloud.png\n\nIn the previous example, the `-` argument orders `pdftotext` to write the resulting text to stdout, which is then piped to the stdin of `wordcloud_cli.py`.\n\nUse `wordcloud_cli --help` so see all available options.\n\n[blog-post]: http://peekaboo-vision.blogspot.de/2012/11/a-wordcloud-in-python.html\n[website]: http://amueller.github.io/word_cloud/\n[simple]: examples/simple.py\n[masked]: examples/masked.py\n[reddit-cloud]: https://github.com/amueller/reddit-cloud\n[wc2]: http://www.reddit.com/user/WordCloudBot2\n[wc2top]: http://www.reddit.com/user/WordCloudBot2/?sort=top\n[chat-stats]: https://github.com/popcorncolonel/Chat_stats\n[twitter-word-cloud-bot]: https://github.com/defacto133/twitter-wordcloud-bot\n[twitter-wordnuvola]: https://twitter.com/wordnuvola\n[imgur-wordnuvola]: http://defacto133.imgur.com/all/\n[intprob]: http://peekaboo-vision.blogspot.de/2012/11/a-wordcloud-in-python.html#bc_0_28B\n\n\n## Licensing\nThe wordcloud library is MIT licenced, but contains DroidSansMono.ttf, a true type font by Google, that is apache licensed.\nThe font is by no means integral, and any other font can be used by setting the ``font_path`` variable when creating a ``WordCloud`` object.\n\n\n",
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