EasyPandas


NameEasyPandas JSON
Version 0.0.3 PyPI version JSON
download
home_page
Summary使用Pandas库处理数据的简洁程序库
upload_time2024-02-04 12:51:51
maintainer
docs_urlNone
author
requires_python>=3.8
licenseMIT License Copyright (c) 2023 The Python Packaging Authority Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords pandas 函数封装 数据分析 简介代码
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # EasyPandas

EasyPandas是一个对Pandas数据分析库的简洁函数封装,它有着下面的优点:

- 多个功能在一个函数中封装。
- 中文参数含义说明。
            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "EasyPandas",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "LiuAndy <andylau_dh@163.com>",
    "keywords": "Pandas,\u51fd\u6570\u5c01\u88c5,\u6570\u636e\u5206\u6790,\u7b80\u4ecb\u4ee3\u7801",
    "author": "",
    "author_email": "LiuAndy <andylau_dh@163.com>",
    "download_url": "https://files.pythonhosted.org/packages/9f/a0/bca2a64c6f213de4b1a2b0dbcc7be4642cdb1e64c4c85e5e2a6f82717b9b/easypandas-0.0.3.tar.gz",
    "platform": null,
    "description": "# EasyPandas\n\nEasyPandas\u662f\u4e00\u4e2a\u5bf9Pandas\u6570\u636e\u5206\u6790\u5e93\u7684\u7b80\u6d01\u51fd\u6570\u5c01\u88c5\uff0c\u5b83\u6709\u7740\u4e0b\u9762\u7684\u4f18\u70b9:\n\n- \u591a\u4e2a\u529f\u80fd\u5728\u4e00\u4e2a\u51fd\u6570\u4e2d\u5c01\u88c5\u3002\n- \u4e2d\u6587\u53c2\u6570\u542b\u4e49\u8bf4\u660e\u3002",
    "bugtrack_url": null,
    "license": "MIT License  Copyright (c) 2023 The Python Packaging Authority  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.",
    "summary": "\u4f7f\u7528Pandas\u5e93\u5904\u7406\u6570\u636e\u7684\u7b80\u6d01\u7a0b\u5e8f\u5e93",
    "version": "0.0.3",
    "project_urls": {
        "Documentation": "https://github.com/LiuAndy-art/EasyPandas",
        "Homepage": "https://github.com/LiuAndy-art/EasyPandas",
        "Repository": "https://github.com/LiuAndy-art/EasyPandas"
    },
    "split_keywords": [
        "pandas",
        "\u51fd\u6570\u5c01\u88c5",
        "\u6570\u636e\u5206\u6790",
        "\u7b80\u4ecb\u4ee3\u7801"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "44fcc6f89a16cad19b3667e4dfd32dffc47113fb9398e31022fd3dce36ce9727",
                "md5": "ac5c14e4b21efc1b6a2e4ad1bcd4c631",
                "sha256": "aadf8b4791fc6e0272499434f475a4ab4f9a445f242e5110ce570ee85f08ce82"
            },
            "downloads": -1,
            "filename": "easypandas-0.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ac5c14e4b21efc1b6a2e4ad1bcd4c631",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 32298,
            "upload_time": "2024-02-04T12:51:49",
            "upload_time_iso_8601": "2024-02-04T12:51:49.891699Z",
            "url": "https://files.pythonhosted.org/packages/44/fc/c6f89a16cad19b3667e4dfd32dffc47113fb9398e31022fd3dce36ce9727/easypandas-0.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9fa0bca2a64c6f213de4b1a2b0dbcc7be4642cdb1e64c4c85e5e2a6f82717b9b",
                "md5": "8261c8822cdf84687ea7011239b22e67",
                "sha256": "b9e9fa3fa2fc4f4c87320d7ffc219543818c8e2a9185d81e26a1d70d53811322"
            },
            "downloads": -1,
            "filename": "easypandas-0.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "8261c8822cdf84687ea7011239b22e67",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 19573,
            "upload_time": "2024-02-04T12:51:51",
            "upload_time_iso_8601": "2024-02-04T12:51:51.808305Z",
            "url": "https://files.pythonhosted.org/packages/9f/a0/bca2a64c6f213de4b1a2b0dbcc7be4642cdb1e64c4c85e5e2a6f82717b9b/easypandas-0.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-02-04 12:51:51",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "LiuAndy-art",
    "github_project": "EasyPandas",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "easypandas"
}
        
Elapsed time: 0.46188s