{ "info": { "author": "ASI Data Science", "author_email": "engineering@asidatascience.com", "bugtrack_url": null, "classifiers": [], "description": "lens\n====\n\n``lens`` is a library for exploring data in Pandas DataFrames. It computes\nsingle column summary statistics and estimates the correlation between columns.\nWe wrote ``lens`` when we realised that the initial steps of acquiring a new\ndata set were almost formulaic: What data type is in this column? How many null\nvalues are there? Which columns are correlated? What's the distribution of this\nvalue? ``lens`` calculates all this for you.\n\nSee the documentation_ for more details.\n\n.. _documentation: https://lens.readthedocs.io/en/latest\n\nInstallation\n------------\n\n``lens`` can be installed from PyPI with ``pip``:\n\n.. code-block:: bash\n\n pip install lens\n\nTesting\n-------\n\nTo run the tests, run:\n\n.. code-block:: bash\n\n py.test --ignore=it\n\nLicense\n-------\n\n``lens`` is licensed under the Apache License, see LICENSE.txt for details.\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/asidatascience/lens", "keywords": "", "license": "Apache 2.0", "maintainer": "", "maintainer_email": "", "name": "lens", "package_url": "https://pypi.org/project/lens/", "platform": "", "project_url": "https://pypi.org/project/lens/", "project_urls": { "Homepage": "https://github.com/asidatascience/lens" }, 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