dataframe2image


Namedataframe2image JSON
Version 0.2.0 PyPI version JSON
download
home_pageNone
SummaryConvert pandas DataFrame to beautiful table images with automatic Chinese font support
upload_time2025-07-15 10:31:28
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseNone
keywords pandas dataframe table image screenshot
VCS
bugtrack_url
requirements pandas playwright jinja2 pillow pytest pytest-asyncio black isort flake8 mypy numpy
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # dataframe2image

Convert pandas DataFrame to beautiful table images.

## Features

- Convert pandas DataFrame to high-quality table images
- Beautiful, customizable styling with CSS
- Support for various image formats (PNG, JPEG, WebP)
- Responsive table design
- Easy to use API

## Installation

```bash
pip install dataframe2image
```

After installation, you need to install Playwright browsers:

```bash
playwright install chromium
```

## Quick Start

```python
import pandas as pd
from dataframe2image import df_to_image

# Create a sample DataFrame
df = pd.DataFrame({
    'Name': ['Alice', 'Bob', 'Charlie', 'Diana'],
    'Age': [25, 30, 35, 28],
    'City': ['New York', 'London', 'Tokyo', 'Paris'],
    'Salary': [50000, 60000, 70000, 55000]
})

# Convert to image
df_to_image(df, output_path='table.png')
```

## Advanced Usage

```python
from dataframe2image import df_to_image, TableStyle

# Custom styling
style = TableStyle(
    theme='dark',
    font_family='Arial',
    font_size=14,
    border_color='#333',
    header_bg_color='#4CAF50',
    row_bg_colors=['#f9f9f9', '#ffffff']
)

df_to_image(
    df, 
    output_path='styled_table.png',
    style=style,
    width=800,
    height=600
)
```

## API Reference

### `df_to_image(df, output_path, style=None, width=None, height=None, format='png')`

Convert a pandas DataFrame to an image.

**Parameters:**
- `df` (pandas.DataFrame): The DataFrame to convert
- `output_path` (str): Path where the image will be saved
- `style` (TableStyle, optional): Custom styling options
- `width` (int, optional): Image width in pixels
- `height` (int, optional): Image height in pixels (auto if not specified)
- `format` (str): Image format ('png', 'jpeg', 'webp')

### `TableStyle`

Customization options for table appearance.

**Parameters:**
- `theme` (str): Theme name ('light', 'dark', 'minimal')
- `font_family` (str): Font family name
- `font_size` (int): Font size in pixels
- `border_color` (str): Border color (CSS color)
- `header_bg_color` (str): Header background color
- `row_bg_colors` (list): Alternating row background colors

## License

MIT License

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "dataframe2image",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "pandas, dataframe, table, image, screenshot",
    "author": null,
    "author_email": "nolan zhao <nolanzhao@126.com>",
    "download_url": "https://files.pythonhosted.org/packages/50/9f/4dbe5ce02c3590c31c9b77983552f35771563ff1886716072fd9d4a49ebe/dataframe2image-0.2.0.tar.gz",
    "platform": null,
    "description": "# dataframe2image\n\nConvert pandas DataFrame to beautiful table images.\n\n## Features\n\n- Convert pandas DataFrame to high-quality table images\n- Beautiful, customizable styling with CSS\n- Support for various image formats (PNG, JPEG, WebP)\n- Responsive table design\n- Easy to use API\n\n## Installation\n\n```bash\npip install dataframe2image\n```\n\nAfter installation, you need to install Playwright browsers:\n\n```bash\nplaywright install chromium\n```\n\n## Quick Start\n\n```python\nimport pandas as pd\nfrom dataframe2image import df_to_image\n\n# Create a sample DataFrame\ndf = pd.DataFrame({\n    'Name': ['Alice', 'Bob', 'Charlie', 'Diana'],\n    'Age': [25, 30, 35, 28],\n    'City': ['New York', 'London', 'Tokyo', 'Paris'],\n    'Salary': [50000, 60000, 70000, 55000]\n})\n\n# Convert to image\ndf_to_image(df, output_path='table.png')\n```\n\n## Advanced Usage\n\n```python\nfrom dataframe2image import df_to_image, TableStyle\n\n# Custom styling\nstyle = TableStyle(\n    theme='dark',\n    font_family='Arial',\n    font_size=14,\n    border_color='#333',\n    header_bg_color='#4CAF50',\n    row_bg_colors=['#f9f9f9', '#ffffff']\n)\n\ndf_to_image(\n    df, \n    output_path='styled_table.png',\n    style=style,\n    width=800,\n    height=600\n)\n```\n\n## API Reference\n\n### `df_to_image(df, output_path, style=None, width=None, height=None, format='png')`\n\nConvert a pandas DataFrame to an image.\n\n**Parameters:**\n- `df` (pandas.DataFrame): The DataFrame to convert\n- `output_path` (str): Path where the image will be saved\n- `style` (TableStyle, optional): Custom styling options\n- `width` (int, optional): Image width in pixels\n- `height` (int, optional): Image height in pixels (auto if not specified)\n- `format` (str): Image format ('png', 'jpeg', 'webp')\n\n### `TableStyle`\n\nCustomization options for table appearance.\n\n**Parameters:**\n- `theme` (str): Theme name ('light', 'dark', 'minimal')\n- `font_family` (str): Font family name\n- `font_size` (int): Font size in pixels\n- `border_color` (str): Border color (CSS color)\n- `header_bg_color` (str): Header background color\n- `row_bg_colors` (list): Alternating row background colors\n\n## License\n\nMIT License\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Convert pandas DataFrame to beautiful table images with automatic Chinese font support",
    "version": "0.2.0",
    "project_urls": {
        "Homepage": "https://github.com/nolanzhao/dataframe2image",
        "Issues": "https://github.com/nolanzhao/dataframe2image/issues",
        "Repository": "https://github.com/nolanzhao/dataframe2image"
    },
    "split_keywords": [
        "pandas",
        " dataframe",
        " table",
        " image",
        " screenshot"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "454d18d1356e2b30dcfcd35f764de55ffec2f5860337b0b77d67976140122477",
                "md5": "2e2e5455674865b57549623c64ebab8d",
                "sha256": "fc4a77d0b0d284865fb04c9db926422356eb7ab2f9cc7d7fae9dedc7067ccef7"
            },
            "downloads": -1,
            "filename": "dataframe2image-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2e2e5455674865b57549623c64ebab8d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 4109733,
            "upload_time": "2025-07-15T10:31:24",
            "upload_time_iso_8601": "2025-07-15T10:31:24.808825Z",
            "url": "https://files.pythonhosted.org/packages/45/4d/18d1356e2b30dcfcd35f764de55ffec2f5860337b0b77d67976140122477/dataframe2image-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "509f4dbe5ce02c3590c31c9b77983552f35771563ff1886716072fd9d4a49ebe",
                "md5": "bc93781636da5885112a56961362784b",
                "sha256": "335c3757c53f8665e223714694e0ec7363d4128ea7f0c5e40312d8c8a7228411"
            },
            "downloads": -1,
            "filename": "dataframe2image-0.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "bc93781636da5885112a56961362784b",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 4087134,
            "upload_time": "2025-07-15T10:31:28",
            "upload_time_iso_8601": "2025-07-15T10:31:28.254271Z",
            "url": "https://files.pythonhosted.org/packages/50/9f/4dbe5ce02c3590c31c9b77983552f35771563ff1886716072fd9d4a49ebe/dataframe2image-0.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-07-15 10:31:28",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "nolanzhao",
    "github_project": "dataframe2image",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "pandas",
            "specs": [
                [
                    ">=",
                    "1.3.0"
                ]
            ]
        },
        {
            "name": "playwright",
            "specs": [
                [
                    ">=",
                    "1.35.0"
                ]
            ]
        },
        {
            "name": "jinja2",
            "specs": [
                [
                    ">=",
                    "3.0.0"
                ]
            ]
        },
        {
            "name": "pillow",
            "specs": [
                [
                    ">=",
                    "8.0.0"
                ]
            ]
        },
        {
            "name": "pytest",
            "specs": [
                [
                    ">=",
                    "7.0.0"
                ]
            ]
        },
        {
            "name": "pytest-asyncio",
            "specs": [
                [
                    ">=",
                    "0.21.0"
                ]
            ]
        },
        {
            "name": "black",
            "specs": [
                [
                    ">=",
                    "22.0.0"
                ]
            ]
        },
        {
            "name": "isort",
            "specs": [
                [
                    ">=",
                    "5.10.0"
                ]
            ]
        },
        {
            "name": "flake8",
            "specs": [
                [
                    ">=",
                    "4.0.0"
                ]
            ]
        },
        {
            "name": "mypy",
            "specs": [
                [
                    ">=",
                    "0.991"
                ]
            ]
        },
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.20.0"
                ]
            ]
        }
    ],
    "lcname": "dataframe2image"
}
        
Elapsed time: 2.21783s