{ "info": { "author": "Chris Rosenthal", "author_email": "crosenth@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)" ], "description": "=================================================================\ncsvpandas: A command line csv toolkit wrapping the Pandas library\n=================================================================\n\ncsvpandas - A wrapper of the Pandas high performance data analysis library to view and manipulate csv files\n\n.. contents:: Table of Contents\n\nauthors\n=======\n\n* Chris Rosenthal\n\nnotes\n=====\n\nThis is strictly an experimental package and potentially full of bugs. I am still in the process of planning and \nwriting up specifications. The motivation is to take advantage of Python Pandas high performance libraries for \nmanipulating csv files on a file system.\n\ndependencies\n============\n\n* Python 2.7.x\n* setuptools\n* Pandas 0.16.2\n\ninstallation\n============\n\nTo install csvpandas and python dependencies, run setup.py or pip from the\nproject directory::\n\n % cd csvpandas\n % python setup.py install\n # or\n % pip install -U .\n\nIf you don't want to install the dependencies (numpy and pandas take a\nwhile to compile), use::\n\n % pip install --no-deps -U .\n\nNumpy and pandas require many dependencies to compile (and you'll\nlikely need to compile them because versions in package managers are\ntypically out of date). Fortunately, these can pretty easily be\ninstalled on Ubuntu 12.04 by running::\n\n % sudo apt-get build-dep python-numpy python-pandas\n\nunit tests\n==========\n\nUnit tests are implemented using the ``unittest`` module in the Python\nstandard library. The ``tests`` subdirectory is itself a Python\npackage that imports the local version (ie, the version in the project\ndirectory, not the version installed to the system) of the\npackage. All unit tests can be run like this::\n\n % ./testall\n ...........\n ----------------------------------------------------------------------\n Ran 11 tests in 0.059s\n\n OK\n\nA single unit test can be run by referring to a specific module,\nclass, or method within the ``tests`` package using dot notation::\n\n % ./testone -v tests.test_utils\n\ndocumentation\n=============\n\nTo build the Sphinx docs::\n\n (cd docs && make html)\n\nAnd to publish to GitHub pages::\n\n ghp-import -p docs/_build/html\n\n(ghp-import and Sphinx are both included in the requirements.txt)\n\n\nlicense\n=======\n\nCopyright (c) 2015 Chris Rosenthal\n\nReleased under the `GPLv3 `_ License\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/crosenth/csvpandas", "keywords": null, "license": "GPLv3", "maintainer": null, "maintainer_email": null, "name": "csvpandas", "package_url": "https://pypi.org/project/csvpandas/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/csvpandas/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/crosenth/csvpandas" }, "release_url": "https://pypi.org/project/csvpandas/0.0.7/", "requires_dist": null, "requires_python": null, "summary": "Interface to manipulate csv files as Pandas DataFrames.", "version": "0.0.7" }, "last_serial": 2429905, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "d56aa1c467c69faf10b5969af047c1bd", "sha256": "987dea0a519135d5bc2859ca899944eb1152f90d8cc8ec4c00416f720a2d17a8" }, "downloads": -1, "filename": "csvpandas-0.0.1-py2-none-any.whl", "has_sig": false, "md5_digest": "d56aa1c467c69faf10b5969af047c1bd", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 11655, "upload_time": "2015-08-21T23:25:22", "url": "https://files.pythonhosted.org/packages/4f/a1/425984dca9a06c7a1348624dabe78c4fbb73053776451e09c0251ff3aac3/csvpandas-0.0.1-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "24c9c8cfa39c7e2a487619fa447fe187", "sha256": "7b282d56948800c93329a95c7d0d6069e609288317ee5e7739fb8c44f1ce0ae9" }, "downloads": -1, "filename": "csvpandas-0.0.1.tar.gz", "has_sig": false, "md5_digest": "24c9c8cfa39c7e2a487619fa447fe187", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6533, "upload_time": "2015-08-21T23:25:31", "url": "https://files.pythonhosted.org/packages/50/4d/fe04540470336c75caecc51145fcf178e18e2a702107d681f6033dccb215/csvpandas-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "cbb0fbde63802deea84b48228548e8dd", "sha256": "041bda2055b5d4727703b75bed72de59919ff20f486432f3f6f78b8bd3af63ce" }, "downloads": -1, "filename": "csvpandas-0.0.2.tar.gz", "has_sig": false, "md5_digest": "cbb0fbde63802deea84b48228548e8dd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7447, "upload_time": "2015-10-02T19:18:17", "url": "https://files.pythonhosted.org/packages/5c/b2/dd93bd332afc6e1e57bb32d97c9294a6a57f367ab3bd15def399f972e7df/csvpandas-0.0.2.tar.gz" } ], "0.0.4": [ { "comment_text": "", "digests": { "md5": "5b2f3471e08c7c158fb6466b079468c1", "sha256": "cf8672573f05b4d79ef206ccaad929584861b46b1ea0f1357eeeb9b8147d8434" }, "downloads": -1, "filename": "csvpandas-0.0.4.tar.gz", "has_sig": false, "md5_digest": "5b2f3471e08c7c158fb6466b079468c1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7355, "upload_time": "2016-01-15T00:15:39", "url": "https://files.pythonhosted.org/packages/39/d4/73177dd9f0ce3ea7ff52a079ec3445d91c0ad7f03415e3aab0a3939c846a/csvpandas-0.0.4.tar.gz" } ], "0.0.5": [ { "comment_text": "", "digests": { "md5": "1370ae707017df0c9ce5d6dfd6da2867", "sha256": "3df69f8a2724925600d9d9abfbeb6756313145cfc215a75244da8295c6673f34" }, "downloads": -1, "filename": "csvpandas-0.0.5-py2-none-any.whl", "has_sig": false, "md5_digest": "1370ae707017df0c9ce5d6dfd6da2867", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 17433, "upload_time": "2016-03-21T02:55:29", "url": "https://files.pythonhosted.org/packages/de/7b/57d338c441beef7109adf04009858840c7fbee40acfd66e21c463a36440f/csvpandas-0.0.5-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "7c745398c19d028afab65f923421e46b", "sha256": "2f4e4c4223ec0e12c2e3d945240a1085b249843fdf2d8254d82ad368a29dad59" }, "downloads": -1, "filename": "csvpandas-0.0.5.tar.gz", "has_sig": false, "md5_digest": "7c745398c19d028afab65f923421e46b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8430, "upload_time": "2016-03-21T02:41:05", "url": "https://files.pythonhosted.org/packages/7b/e3/fec9a89d19f7de47245d5bddf52e9fb4f5d421e89a17d9138d960f303d5d/csvpandas-0.0.5.tar.gz" } ], "0.0.6": [ { "comment_text": "", "digests": { "md5": "cad3bdd59298fb01e6e6c858c079cd8c", "sha256": "555886978281235413ae7af737b75389e1ab4d5e9b4451de4bf73b6eb12d02f3" }, "downloads": -1, "filename": "csvpandas-0.0.6.tar.gz", "has_sig": false, "md5_digest": "cad3bdd59298fb01e6e6c858c079cd8c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8395, "upload_time": "2016-03-24T21:37:17", "url": "https://files.pythonhosted.org/packages/87/a5/7d1bd84752b1967f18ca6ae5d931162c039ee1005d647cead32c8fd8f583/csvpandas-0.0.6.tar.gz" } ], "0.0.7": [ { "comment_text": "", "digests": { "md5": "7a608b6de4fd31d74938cc72b0855df1", "sha256": "cf5e2bd15f5e04a3524bceb89f25513095633ac8c2c7f368d1eb29d4205d1a8d" }, "downloads": -1, "filename": "csvpandas-0.0.7.tar.gz", "has_sig": false, "md5_digest": "7a608b6de4fd31d74938cc72b0855df1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8167, "upload_time": "2016-10-28T23:46:28", "url": "https://files.pythonhosted.org/packages/2e/43/6b3e9ebf21499c513a0226e6d10a685b82e97a40a49dadd6d4b1709c6fd9/csvpandas-0.0.7.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "7a608b6de4fd31d74938cc72b0855df1", "sha256": "cf5e2bd15f5e04a3524bceb89f25513095633ac8c2c7f368d1eb29d4205d1a8d" }, "downloads": -1, "filename": "csvpandas-0.0.7.tar.gz", "has_sig": false, "md5_digest": "7a608b6de4fd31d74938cc72b0855df1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8167, "upload_time": "2016-10-28T23:46:28", "url": "https://files.pythonhosted.org/packages/2e/43/6b3e9ebf21499c513a0226e6d10a685b82e97a40a49dadd6d4b1709c6fd9/csvpandas-0.0.7.tar.gz" } ] }