{
    "info": {
        "author": null,
        "author_email": "Ivan <ivan@acmetric.com>, Jakob <jakob@acmetric.com>",
        "bugtrack_url": null,
        "classifiers": [
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "<a href='https://acmetric.com/' target='_blank'><img src='https://i.postimg.cc/ZnscgcFb/Acmetric-Social-3.jpg' height=\"100\" border='0' alt='Acmetric-Social-3'/></a> \n# Introducing ACMetric package!\n### Current version: `1.3.2`\n\nThis package is created to help you use ACMetric's brand colors and build plots without hours of tuning. Enjoy!\n\n## Installing on Google Colab \nSetting up in Google Colab is described [here](https://github.com/ACMetric/acmetric_package/blob/master/colab_setup.md).\n\n## Importing\nWe recommend importing it along with `matplotlib` and `seaborn`.\n\n```python3\n%matplotlib inline # display plots in the notebook right away\n%config InlineBackend.figure_format='retina' # high resolution\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport acmetric_plotting as ac\n```\n\nAnd it is ready to go!\n\n### You can find code examples here: [Jupyter](https://github.com/ACMetric/acmetric_package/blob/master/notebooks/acmetric_package_intro.ipynb) | [Google Colab](https://colab.research.google.com/drive/14eYxEthMcPohkTFC9CLhe-nzHbQDoEsu?usp=sharing)\n***\n## Some things you need to know\n\n`ac.display_colors()` will show you a table with all the colors available and their names.\n\n`ac.colors` module contains ACMetric colors, you can access them by writing `ac.colors.coral`, `ac.colors.sky_60`, etc.  \n\n`ac.palette` is a `matplotlib` color palette. You can call it and choose a color you like by index, e.g. `ac.palette[3]`.\n\n`ac.cmap` is a gradient colormap that can be used in `seaborn` heatmap and other plots.\n\nRun `ac.params.layout_color('black')` to make axes and text black. Run `ac.params.layout_color('default')` to make them grey again.\n\nNow 4 kinds of plots are available in the package: bar chart, pie chart, scatter plot and box plot. You can make them using `ac.bar`, `ac.pie`, `ac.scatter` and `ac.box`. All the possible parameters can be found in the docstring.\n\n**Note:** it doesn't mean you can't build other kinds of plots. Just import `matplotlib` or `seaborn`, and all the plots you create will also be ACMetric branded!\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": null,
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "dynamic": null,
        "home_page": null,
        "keywords": null,
        "license": null,
        "maintainer": null,
        "maintainer_email": null,
        "name": "acmetric-plotting",
        "package_url": "https://pypi.org/project/acmetric-plotting/",
        "platform": null,
        "project_url": "https://pypi.org/project/acmetric-plotting/",
        "project_urls": {
            "Bug Tracker": "https://github.com/ACMetric/acmetric_package/issues",
            "Homepage": "https://github.com/ACMetric/acmetric_package"
        },
        "provides_extra": null,
        "release_url": "https://pypi.org/project/acmetric-plotting/1.3.2/",
        "requires_dist": [
            "cycler>=0.11.0",
            "matplotlib>=3.5",
            "seaborn>=0.11.2",
            "numpy>=1.20.0",
            "scipy>=1.7.0"
        ],
        "requires_python": ">=3.7",
        "summary": "A package to easily build ACMetric branded plots",
        "version": "1.3.2",
        "yanked": false,
        "yanked_reason": null
    },
    "last_serial": 22766809,
    "releases": {
        "1.3.0": [
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "2fe3c198d29e9f00f988d18ab7664aee3d9ede226dbb7d16eb72cd89f5d4ba88",
                    "md5": "9f408b02a3dbfa1cd7c5d52bae42e133",
                    "sha256": "f2ed958e8bc0545e64a49873f5b6cbe74abb297a621f4a2613501195360abd87"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9f408b02a3dbfa1cd7c5d52bae42e133",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.7",
                "size": 42899,
                "upload_time": "2024-04-11T14:19:11",
                "upload_time_iso_8601": "2024-04-11T14:19:11.643469Z",
                "url": "https://files.pythonhosted.org/packages/2f/e3/c198d29e9f00f988d18ab7664aee3d9ede226dbb7d16eb72cd89f5d4ba88/acmetric_plotting-1.3.0-py3-none-any.whl",
                "yanked": false,
                "yanked_reason": null
            },
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "42a5ec8d6bdc7f018b6a6ad64a961a0d7495d6ffe3cd0ccabe0be29a2a357afc",
                    "md5": "b30ee9c6cbd12842ebd8c1926f4cefb4",
                    "sha256": "3aa7cc83e662bee80a9b6e8195e3e607402a1dcc92028f488ca660ad021cd2d6"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.0.tar.gz",
                "has_sig": false,
                "md5_digest": "b30ee9c6cbd12842ebd8c1926f4cefb4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.7",
                "size": 44227,
                "upload_time": "2024-04-11T14:19:21",
                "upload_time_iso_8601": "2024-04-11T14:19:21.221966Z",
                "url": "https://files.pythonhosted.org/packages/42/a5/ec8d6bdc7f018b6a6ad64a961a0d7495d6ffe3cd0ccabe0be29a2a357afc/acmetric_plotting-1.3.0.tar.gz",
                "yanked": false,
                "yanked_reason": null
            }
        ],
        "1.3.1": [
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "dc999ddc5acc725215bab82187b2213ab7ad268a8e8d0e791aac3acc82bf4a1b",
                    "md5": "31ba5b36e97a7628056aff07a99beaa7",
                    "sha256": "e8ab56668b30fcc5d78aa7c0962266210ab93629c732acac397f3b743b842c99"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "31ba5b36e97a7628056aff07a99beaa7",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.7",
                "size": 43035,
                "upload_time": "2024-04-11T14:29:48",
                "upload_time_iso_8601": "2024-04-11T14:29:48.718191Z",
                "url": "https://files.pythonhosted.org/packages/dc/99/9ddc5acc725215bab82187b2213ab7ad268a8e8d0e791aac3acc82bf4a1b/acmetric_plotting-1.3.1-py3-none-any.whl",
                "yanked": false,
                "yanked_reason": null
            },
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "2c9169aaca1daf2dfd035d8bf8ee5c369fce85bfbf9eb11f0e2fe5bb96db714e",
                    "md5": "6e1bc4b025afc66d258645f710811931",
                    "sha256": "5e28715ea60b7e976814db4819dc5d6bef655298027b3f5880ab8cdc31ee8e3d"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.1.tar.gz",
                "has_sig": false,
                "md5_digest": "6e1bc4b025afc66d258645f710811931",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.7",
                "size": 44263,
                "upload_time": "2024-04-11T14:29:50",
                "upload_time_iso_8601": "2024-04-11T14:29:50.549584Z",
                "url": "https://files.pythonhosted.org/packages/2c/91/69aaca1daf2dfd035d8bf8ee5c369fce85bfbf9eb11f0e2fe5bb96db714e/acmetric_plotting-1.3.1.tar.gz",
                "yanked": false,
                "yanked_reason": null
            }
        ],
        "1.3.2": [
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "4d1c7ad5d733ef7f95a87d7713ed3c9e728fb152a14031c01efc34c1dca99090",
                    "md5": "4d64357839ab1af315e5dc8a7a4b700b",
                    "sha256": "21cd5ac3c65b7a3ab13bb4e9f8150128f6660522de347f64334661cbe8c9d44a"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "4d64357839ab1af315e5dc8a7a4b700b",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.7",
                "size": 43031,
                "upload_time": "2024-04-15T06:41:30",
                "upload_time_iso_8601": "2024-04-15T06:41:30.583413Z",
                "url": "https://files.pythonhosted.org/packages/4d/1c/7ad5d733ef7f95a87d7713ed3c9e728fb152a14031c01efc34c1dca99090/acmetric_plotting-1.3.2-py3-none-any.whl",
                "yanked": false,
                "yanked_reason": null
            },
            {
                "comment_text": "",
                "digests": {
                    "blake2b_256": "dbc3387b93de126015342b192c09789c03dce2179de9c87e484d4fd54b78cb72",
                    "md5": "bdb40011598da6f3b9e5b8e00c9b2cce",
                    "sha256": "3e5751fea824822440e034046e7b9ea7693d1cb023e901dfb98cb6ab475d2d8f"
                },
                "downloads": -1,
                "filename": "acmetric_plotting-1.3.2.tar.gz",
                "has_sig": false,
                "md5_digest": "bdb40011598da6f3b9e5b8e00c9b2cce",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.7",
                "size": 44271,
                "upload_time": "2024-04-15T06:41:32",
                "upload_time_iso_8601": "2024-04-15T06:41:32.766467Z",
                "url": "https://files.pythonhosted.org/packages/db/c3/387b93de126015342b192c09789c03dce2179de9c87e484d4fd54b78cb72/acmetric_plotting-1.3.2.tar.gz",
                "yanked": false,
                "yanked_reason": null
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4d1c7ad5d733ef7f95a87d7713ed3c9e728fb152a14031c01efc34c1dca99090",
                "md5": "4d64357839ab1af315e5dc8a7a4b700b",
                "sha256": "21cd5ac3c65b7a3ab13bb4e9f8150128f6660522de347f64334661cbe8c9d44a"
            },
            "downloads": -1,
            "filename": "acmetric_plotting-1.3.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "4d64357839ab1af315e5dc8a7a4b700b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 43031,
            "upload_time": "2024-04-15T06:41:30",
            "upload_time_iso_8601": "2024-04-15T06:41:30.583413Z",
            "url": "https://files.pythonhosted.org/packages/4d/1c/7ad5d733ef7f95a87d7713ed3c9e728fb152a14031c01efc34c1dca99090/acmetric_plotting-1.3.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "dbc3387b93de126015342b192c09789c03dce2179de9c87e484d4fd54b78cb72",
                "md5": "bdb40011598da6f3b9e5b8e00c9b2cce",
                "sha256": "3e5751fea824822440e034046e7b9ea7693d1cb023e901dfb98cb6ab475d2d8f"
            },
            "downloads": -1,
            "filename": "acmetric_plotting-1.3.2.tar.gz",
            "has_sig": false,
            "md5_digest": "bdb40011598da6f3b9e5b8e00c9b2cce",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 44271,
            "upload_time": "2024-04-15T06:41:32",
            "upload_time_iso_8601": "2024-04-15T06:41:32.766467Z",
            "url": "https://files.pythonhosted.org/packages/db/c3/387b93de126015342b192c09789c03dce2179de9c87e484d4fd54b78cb72/acmetric_plotting-1.3.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "vulnerabilities": []
}