zipminator


Namezipminator JSON
Version 0.3.0 PyPI version JSON
download
home_pagehttps://qdaria.github.io/zipminator/
SummaryZipminator is a lightweight Python package for compressing, encrypting, and deleting password-protected Pandas DataFrames.
upload_time2023-03-12 23:26:05
maintainer
docs_urlNone
authorDaniel Mo Houshmand
requires_python>=3.8,<4.0
licenseMIT
keywords pandas compression encryption data-security
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Zipminator

Zipminator is a lightweight python package with two main functionalities; Zipndel or Unzipndel, for zipping or unzipping a password-protected pandas DataFrame file, and then deleting the original file.


# Example usage
`pip  install zipminator`
## zipit

```python
from zipminator.zipit import Zipndel
import pandas as pd
import getpass
import zipfile
import os
```

### create instance of Zipndel and call zipit method

```python
zipndel = Zipndel(file_name='df', file_format='csv')
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})
zipndel.zipit(df)
```

## unzipit

```python
from zipminator.unzipit import Unzipndel
```

### create instance of Unzipndel and call unzipit method

```python
unzipndel = Unzipndel(file_name='df', file_format='csv')
df = unzipndel.unzipit()
df
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://qdaria.github.io/zipminator/",
    "name": "zipminator",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "pandas,compression,encryption,data-security",
    "author": "Daniel Mo Houshmand",
    "author_email": "mo@qdaria.com",
    "download_url": "https://files.pythonhosted.org/packages/1b/b3/4ca0e5b818c2b68b4f7480f471c471de0a3484bade49c9587758d2ecd883/zipminator-0.3.0.tar.gz",
    "platform": null,
    "description": "# Zipminator\n\nZipminator is a lightweight python package with two main functionalities; Zipndel or Unzipndel, for zipping or unzipping a password-protected pandas DataFrame file, and then deleting the original file.\n\n\n# Example usage\n`pip  install zipminator`\n## zipit\n\n```python\nfrom zipminator.zipit import Zipndel\nimport pandas as pd\nimport getpass\nimport zipfile\nimport os\n```\n\n### create instance of Zipndel and call zipit method\n\n```python\nzipndel = Zipndel(file_name='df', file_format='csv')\ndf = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})\nzipndel.zipit(df)\n```\n\n## unzipit\n\n```python\nfrom zipminator.unzipit import Unzipndel\n```\n\n### create instance of Unzipndel and call unzipit method\n\n```python\nunzipndel = Unzipndel(file_name='df', file_format='csv')\ndf = unzipndel.unzipit()\ndf\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Zipminator is a lightweight Python package for compressing, encrypting, and deleting password-protected Pandas DataFrames.",
    "version": "0.3.0",
    "split_keywords": [
        "pandas",
        "compression",
        "encryption",
        "data-security"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "601dd0dada40aae3f43cd90045c3e05dd5022fc47b6a55a543fa8fd39bc2d618",
                "md5": "ec867b24ed37c544fb6244e26c39b58f",
                "sha256": "3bdfc8669f2ca34a4338df3f951476474f791ab749680ce11aead7b8a2f26d31"
            },
            "downloads": -1,
            "filename": "zipminator-0.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ec867b24ed37c544fb6244e26c39b58f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 42930,
            "upload_time": "2023-03-12T23:26:03",
            "upload_time_iso_8601": "2023-03-12T23:26:03.935610Z",
            "url": "https://files.pythonhosted.org/packages/60/1d/d0dada40aae3f43cd90045c3e05dd5022fc47b6a55a543fa8fd39bc2d618/zipminator-0.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1bb34ca0e5b818c2b68b4f7480f471c471de0a3484bade49c9587758d2ecd883",
                "md5": "da07457351fe1240531b71f5657acf9e",
                "sha256": "5b9db20539ec8a4d77ba25fa930563b0bde9430433028e7288b08931de3a7f7c"
            },
            "downloads": -1,
            "filename": "zipminator-0.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "da07457351fe1240531b71f5657acf9e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 31838,
            "upload_time": "2023-03-12T23:26:05",
            "upload_time_iso_8601": "2023-03-12T23:26:05.607456Z",
            "url": "https://files.pythonhosted.org/packages/1b/b3/4ca0e5b818c2b68b4f7480f471c471de0a3484bade49c9587758d2ecd883/zipminator-0.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-12 23:26:05",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "zipminator"
}
        
Elapsed time: 0.76803s