{
    "info": {
        "author": "Bart Broere",
        "author_email": "mail@bartbroere.eu",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Utilities"
        ],
        "description": "pandas_multi\n============\n\nSimple loop for reading multiple csv files (matching a certain pattern) as a \n``pandas.DataFrame``.\n\nI'm aware this need can be solved in even one line of Python, but loading \nmultiple similar csv's is just something that should be as easy as loading \none csv. If you don't want to add a new dependency to your project, google \nwhat ``os.listdir`` and ``glob`` can do for you.\n\nInstallation can be done by typing::\n\n    pip install pandas_multi\nUsage of ``pandas_multi.read_csvs`` has been kept as similar as possible to\n``pandas.read_csv``::\n\n    import pandas_multi\n\n    # <sarcasm>\n    #   Note that dataframes only work if you give them the non-descriptive name df\n    # </sarcasm>\n    df = pandas_multi.read_csvs('./20180728*.csv')\n    # if you provide it with a path to a folder and nothing else, it will assume\n    # everything in the folder is a comma-separated file\n    df = pandas_multi.read_csvs('./data/')\n    # if this is not the case, do this:\n    df = pandas_multi.read_csvs('./data/*.csv')\nAll options that are available to ``pandas.read_csv`` or ``pandas.concat`` \ncan be passed into ``pandas_multi.read_csvs`` and will be redirected to the \nappropriate underlying functions.\n\nIf you wish to maintain a trace back to the original data, you can run the \nfunction with the keyword argument ``filenames_as_keys=True``. Note that you\nshould no longer use the keyword argument ``keys``. This will be ignored.\n\nPlease note that the API for concatenation of Excel sheets is not yet stable.\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/bartbroere/pandas_multi/",
        "keywords": "pandas readcsv readcsvs csv xls xlsx excel dataframe multiple multi",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pandas-multi",
        "package_url": "https://pypi.org/project/pandas-multi/",
        "platform": "",
        "project_url": "https://pypi.org/project/pandas-multi/",
        "project_urls": {
            "Homepage": "https://github.com/bartbroere/pandas_multi/"
        },
        "release_url": "https://pypi.org/project/pandas-multi/2019.3.12/",
        "requires_dist": [
            "pandas"
        ],
        "requires_python": "",
        "summary": "Read multiple csvs or Excel files as a single pandas DataFrame.",
        "version": "2019.3.12"
    },
    "last_serial": 4932193,
    "releases": {
        "2018.11.14": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "28bbf1c582dadd57e70dc94662da6e2d",
                    "sha256": "92a3b7f6b8c938f1026745fa84ade7e017a66471c7c2351410006867f7a7d62b"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.14-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "28bbf1c582dadd57e70dc94662da6e2d",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 3689,
                "upload_time": "2018-11-14T16:34:18",
                "url": "https://files.pythonhosted.org/packages/6e/5d/cf48644c5b3715b97c3a87ecf5cbf74e29ce0607afbde39ec15888ccdc06/pandas_multi-2018.11.14-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "2f99991f6a5e60aaabe0eef7040d0a37",
                    "sha256": "038df6e6d4cc399296e175252227e406bf42dcdc3f91c0702078497a5079ba51"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.14.tar.gz",
                "has_sig": false,
                "md5_digest": "2f99991f6a5e60aaabe0eef7040d0a37",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2612,
                "upload_time": "2018-11-14T16:34:21",
                "url": "https://files.pythonhosted.org/packages/d6/4a/a3163bb4986a0bdc6161f9b5e95381351e8ba16feabcb8c54fd4948a6063/pandas_multi-2018.11.14.tar.gz"
            }
        ],
        "2018.11.15": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "ecfdb8cdb9d4a630f212698338c9b0b1",
                    "sha256": "88935a19b67337064e3975f3fdfada882ee368849aaed417d69d708169af0533"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.15-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "ecfdb8cdb9d4a630f212698338c9b0b1",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 3900,
                "upload_time": "2018-11-15T18:40:40",
                "url": "https://files.pythonhosted.org/packages/d9/3b/d0f4e25193ecb0f3b0fd756b7091a618627b3c5b20dc50c89a868f191cec/pandas_multi-2018.11.15-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "695c78c05858b4663a64836207bb1813",
                    "sha256": "9b944a8c5e010c0db4ce3cd2fc5c20f1e6604077032c3036996bdea65656f0c9"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.15.tar.gz",
                "has_sig": false,
                "md5_digest": "695c78c05858b4663a64836207bb1813",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2866,
                "upload_time": "2018-11-15T18:40:45",
                "url": "https://files.pythonhosted.org/packages/e1/77/14e126d488fd1d52c013bf70c58b4a4d4bcdc915085281ccc17f1cc07fc4/pandas_multi-2018.11.15.tar.gz"
            }
        ],
        "2018.11.19": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2d82d8f8c102f71a5b0b54f77c7416dd",
                    "sha256": "36b98dffa14f35b0c5b942cb47403de83e8b83eaeac75c556b12f13e1a4e969a"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.19-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "2d82d8f8c102f71a5b0b54f77c7416dd",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 3939,
                "upload_time": "2018-11-19T20:24:49",
                "url": "https://files.pythonhosted.org/packages/a3/13/e6c580d001696247e7aaf96682eb05c7b836f0792ecc49c334c78ade28ce/pandas_multi-2018.11.19-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "84eb34359e37cd124b1428dc2bebdb67",
                    "sha256": "42f7687b82cfda7c9871d4578ea0df55e2e157ec2390ec89f3c4ddc308c8ee1b"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.11.19.tar.gz",
                "has_sig": false,
                "md5_digest": "84eb34359e37cd124b1428dc2bebdb67",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2901,
                "upload_time": "2018-11-19T20:24:54",
                "url": "https://files.pythonhosted.org/packages/99/a5/e30df29919413ccc080134a01d2a43f382a5742897fefb9725ebf7448b52/pandas_multi-2018.11.19.tar.gz"
            }
        ],
        "2018.7.30": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0643521f4e574431a4bcd1b85c7853ac",
                    "sha256": "d78874933e459db08788df194110958721b28651bca7ffd74ceacc68a810b141"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.7.30-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "0643521f4e574431a4bcd1b85c7853ac",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 2426,
                "upload_time": "2018-07-30T00:54:53",
                "url": "https://files.pythonhosted.org/packages/7e/82/b293f9c50b4f39b56611fcaecf785fb3bb1fe11873dbffe523db38f7bbbe/pandas_multi-2018.7.30-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "ba1f90704a3aa3863aee918f663888dd",
                    "sha256": "d94e8142ba25f0bae05cf6d15d43fdcc8e929d5393d42c51f68a075828cabd66"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.7.30.tar.gz",
                "has_sig": false,
                "md5_digest": "ba1f90704a3aa3863aee918f663888dd",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2202,
                "upload_time": "2018-07-30T00:54:54",
                "url": "https://files.pythonhosted.org/packages/9c/79/1e3ccbe0e8952303068627d12e3ab1ff6a520c536a7aa8fbcd7864b340ec/pandas_multi-2018.7.30.tar.gz"
            }
        ],
        "2018.8.18": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "d3267187a73614dcca15af0911ce4204",
                    "sha256": "3812ed827adf37b361074d12fd9b2428860c4228b8378e89ce2015a648d43e4c"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.8.18-py3.6.egg",
                "has_sig": false,
                "md5_digest": "d3267187a73614dcca15af0911ce4204",
                "packagetype": "bdist_egg",
                "python_version": "3.6",
                "requires_python": null,
                "size": 3596,
                "upload_time": "2018-08-18T18:29:00",
                "url": "https://files.pythonhosted.org/packages/67/8e/74cdb2e7a50499375c83c766bdf5d19d915bed9b4e1bcd63c88c6d3131c4/pandas_multi-2018.8.18-py3.6.egg"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7b145bfd489442e05b062cab8a46034d",
                    "sha256": "52654758bb724b1f7efaef2b81e2adc96494217733cea6c3296da36f2a15b180"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.8.18-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7b145bfd489442e05b062cab8a46034d",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 2668,
                "upload_time": "2018-08-18T18:28:58",
                "url": "https://files.pythonhosted.org/packages/02/2e/735a7991135cd6fcd175fbbb89016a09ec22f8a29868beadf69a8c1f949d/pandas_multi-2018.8.18-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a71f73bd002b439a0f24780f005080f6",
                    "sha256": "87cba1fbaaf89ad4a095b5eb0f27a7b3625f6cdf124c5b4167e8d6839c433f8e"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.8.18.tar.gz",
                "has_sig": false,
                "md5_digest": "a71f73bd002b439a0f24780f005080f6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2430,
                "upload_time": "2018-08-18T18:29:01",
                "url": "https://files.pythonhosted.org/packages/28/2d/5b90f528f58f6258b8aa2a9e354f2d55656b8f985249c7151e3bd3776dbb/pandas_multi-2018.8.18.tar.gz"
            }
        ],
        "2018.8.19": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e3858da0052224a70d7467995c48ee61",
                    "sha256": "417aa5570a6e79eb0c2966595220dfd0fe78fd8702901957a58245f78de9c6ad"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.8.19-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e3858da0052224a70d7467995c48ee61",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 2670,
                "upload_time": "2018-08-18T18:33:18",
                "url": "https://files.pythonhosted.org/packages/2f/07/703319422637d46cf7f1f0bff835206c747849682a3d39a6ababdc461fa5/pandas_multi-2018.8.19-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "83318bb30dd38385e35671b50e6737a6",
                    "sha256": "2934d269c6e913553fbe5f11bbce8ce92ce41cb96e5c07101c2eb53020c97624"
                },
                "downloads": -1,
                "filename": "pandas_multi-2018.8.19.tar.gz",
                "has_sig": false,
                "md5_digest": "83318bb30dd38385e35671b50e6737a6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2440,
                "upload_time": "2018-08-18T18:33:21",
                "url": "https://files.pythonhosted.org/packages/f4/d0/6ae41241a6315ddb5ec1f9ea3266d2c6bd3e7a6f3b9f9fd25d547dc9f64b/pandas_multi-2018.8.19.tar.gz"
            }
        ],
        "2019.3.12": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "73b26a2f11bd80ceb4ed0df1925df77f",
                    "sha256": "f1745cd0801e521a54f1eefe0b22bd71bfd4175bb050660391e8f0b7d84d2053"
                },
                "downloads": -1,
                "filename": "pandas_multi-2019.3.12-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "73b26a2f11bd80ceb4ed0df1925df77f",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 4175,
                "upload_time": "2019-03-12T22:41:24",
                "url": "https://files.pythonhosted.org/packages/0f/cf/93f52f25a5b75a34433af237c503c816e8fcb9ccd8bd9111805a918698f3/pandas_multi-2019.3.12-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d90d4ef05e6f60404111834804735ceb",
                    "sha256": "6ba6feacb28c44d84c31083ac8ebb9ee378a8dbfe8e6c7a69ec31e6a213615d8"
                },
                "downloads": -1,
                "filename": "pandas_multi-2019.3.12.tar.gz",
                "has_sig": false,
                "md5_digest": "d90d4ef05e6f60404111834804735ceb",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 3157,
                "upload_time": "2019-03-12T22:41:37",
                "url": "https://files.pythonhosted.org/packages/56/11/ceff4d13d68614acceb896fd7eeccde294347319a4ffeb71845cd48520e3/pandas_multi-2019.3.12.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "73b26a2f11bd80ceb4ed0df1925df77f",
                "sha256": "f1745cd0801e521a54f1eefe0b22bd71bfd4175bb050660391e8f0b7d84d2053"
            },
            "downloads": -1,
            "filename": "pandas_multi-2019.3.12-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "73b26a2f11bd80ceb4ed0df1925df77f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 4175,
            "upload_time": "2019-03-12T22:41:24",
            "url": "https://files.pythonhosted.org/packages/0f/cf/93f52f25a5b75a34433af237c503c816e8fcb9ccd8bd9111805a918698f3/pandas_multi-2019.3.12-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "d90d4ef05e6f60404111834804735ceb",
                "sha256": "6ba6feacb28c44d84c31083ac8ebb9ee378a8dbfe8e6c7a69ec31e6a213615d8"
            },
            "downloads": -1,
            "filename": "pandas_multi-2019.3.12.tar.gz",
            "has_sig": false,
            "md5_digest": "d90d4ef05e6f60404111834804735ceb",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3157,
            "upload_time": "2019-03-12T22:41:37",
            "url": "https://files.pythonhosted.org/packages/56/11/ceff4d13d68614acceb896fd7eeccde294347319a4ffeb71845cd48520e3/pandas_multi-2019.3.12.tar.gz"
        }
    ]
}