streamlit-custom-filters


Namestreamlit-custom-filters JSON
Version 0.1.5 PyPI version JSON
download
home_pagehttps://github.com/wowMalow/streamlit-custom-filters
SummaryStreamlit tools for interactive dataframes filtering
upload_time2023-12-15 09:41:39
maintainer
docs_urlNone
authorEdward Malov
requires_python>=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*
licenseMIT
keywords streamlit components
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # streamlit-custom-filters
Streamlit tools for interactive dataframes filtering

Also demo for publishing and deploy docs via github workflow

Example of usage:

```python
dataframe_filters = DataFrameFilter(
    df=sales_df,
    filters=[
        RangeFilter('source_count'),
        GreaterFilter('sales'),
        GreaterFilter('demand_ratio'),
        LessFilter('available_ratio'),
        CategoricalFilter('trend_category'),
    ],
    columns=3,
    gap="small",
)

dataframe_filters.display_filters()
dataframe_filters.display_df(hide_index=True)
```


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/wowMalow/streamlit-custom-filters",
    "name": "streamlit-custom-filters",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
    "maintainer_email": "",
    "keywords": "streamlit,components",
    "author": "Edward Malov",
    "author_email": "edwardmalov@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/c8/43/980da40b362e87e933495c2efc590f98c3a9cc7fb819e8d165d9a62f3279/streamlit_custom_filters-0.1.5.tar.gz",
    "platform": null,
    "description": "# streamlit-custom-filters\nStreamlit tools for interactive dataframes filtering\n\nAlso demo for publishing and deploy docs via github workflow\n\nExample of usage:\n\n```python\ndataframe_filters = DataFrameFilter(\n    df=sales_df,\n    filters=[\n        RangeFilter('source_count'),\n        GreaterFilter('sales'),\n        GreaterFilter('demand_ratio'),\n        LessFilter('available_ratio'),\n        CategoricalFilter('trend_category'),\n    ],\n    columns=3,\n    gap=\"small\",\n)\n\ndataframe_filters.display_filters()\ndataframe_filters.display_df(hide_index=True)\n```\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Streamlit tools for interactive dataframes filtering",
    "version": "0.1.5",
    "project_urls": {
        "Documentation": "https://wowmalow.github.io/streamlit-custom-filters/",
        "Homepage": "https://github.com/wowMalow/streamlit-custom-filters",
        "Repository": "https://github.com/wowMalow/streamlit-custom-filters"
    },
    "split_keywords": [
        "streamlit",
        "components"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3bc2793c8224f97e93a4679a43829e6b5699b2b4b6d3cb429dc945337ec5568a",
                "md5": "7193f24896cb62f2114d56eef5ba574d",
                "sha256": "f0b2e0f2a05495240caef8a58ee8abdbf5d1eaa0b469fa5c05e0fe57f9f1ddc1"
            },
            "downloads": -1,
            "filename": "streamlit_custom_filters-0.1.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "7193f24896cb62f2114d56eef5ba574d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
            "size": 4224,
            "upload_time": "2023-12-15T09:41:37",
            "upload_time_iso_8601": "2023-12-15T09:41:37.287133Z",
            "url": "https://files.pythonhosted.org/packages/3b/c2/793c8224f97e93a4679a43829e6b5699b2b4b6d3cb429dc945337ec5568a/streamlit_custom_filters-0.1.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c843980da40b362e87e933495c2efc590f98c3a9cc7fb819e8d165d9a62f3279",
                "md5": "d9a91ff7cc03295ce01f1849ce1b6f1c",
                "sha256": "8b1154d453894c4ba28b6cbc07ce348459f8a14afa5f053371bb47cec4252c82"
            },
            "downloads": -1,
            "filename": "streamlit_custom_filters-0.1.5.tar.gz",
            "has_sig": false,
            "md5_digest": "d9a91ff7cc03295ce01f1849ce1b6f1c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
            "size": 3469,
            "upload_time": "2023-12-15T09:41:39",
            "upload_time_iso_8601": "2023-12-15T09:41:39.709215Z",
            "url": "https://files.pythonhosted.org/packages/c8/43/980da40b362e87e933495c2efc590f98c3a9cc7fb819e8d165d9a62f3279/streamlit_custom_filters-0.1.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-12-15 09:41:39",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "wowMalow",
    "github_project": "streamlit-custom-filters",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "streamlit-custom-filters"
}
        
Elapsed time: 2.99505s