datareadr


Namedatareadr JSON
Version 0.11.5 PyPI version JSON
download
home_pageNone
SummaryDataReadr GUI Interface simplifies the process of adding Pandas code into Python scripts. Through a user-friendly GUI, users can easily select and insert Pandas functions, automating repetitive tasks and enhancing productivity in data analysis projects.
upload_time2024-09-28 17:44:54
maintainerNone
docs_urlNone
authorManoj Khandelwal
requires_pythonNone
licenseNone
keywords python pandas gui importer pandas importer import pyimport pyimport-0.9.0
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# DataReadr
DataReadr with GUI Interface simplifies the process of adding Pandas code into Python scripts. Through a user-friendly GUI, users can easily select and insert Pandas functions, automating repetitive tasks and enhancing productivity in data analysis projects.

# Examples of How To Use (Beta Version Not Fully Completed)

Loading UI
```python
import datareadr as dr # pip install datareadr
import sys # preinstalled in python

#loading the ui
dr.load_ui(sys.argv[0]) #sys.argv[0] (takes the current file location and insert it in the program)
```
Delete the 'load_ui' code line when dataframe is imported.

# How To Use The UI!

# Step 1
Selecting any file you want to import.

![Screenshot 2024-09-28 101847](https://github.com/user-attachments/assets/7c49cdef-b964-4190-acfe-c96d97e8361c)

# Step 2
Click on browse file and then select the file you want to import.

![Screenshot 2024-09-28 101918](https://github.com/user-attachments/assets/a9428945-130b-43bf-981b-bd5e02461c96)

# Step 3
Then Click on check, Then the program will check your file and show the data.

![Screenshot 2024-09-28 101945](https://github.com/user-attachments/assets/a8941177-8607-4ae5-9b05-ee90469cf0e4)

# Step 4
Now Click on import and your file will we imported.

![Screenshot 2024-09-28 102006](https://github.com/user-attachments/assets/b7780fb9-34d6-4f05-950e-af823ab2187a)

# Step 5
This message show's that you're file is successfully imported. Enjoy!

![Screenshot 2024-09-28 102031](https://github.com/user-attachments/assets/29f948a2-84da-4ae3-bb89-4fe06253e4a5)




            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "datareadr",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "python, pandas, gui, importer, pandas importer, import, pyimport, pyimport-0.9.0",
    "author": "Manoj Khandelwal",
    "author_email": "tr.manojkhandelwal@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/15/ab/9159a7530f6cea098c50cc27b8eedffe0da94f1a113111ba748430c97797/datareadr-0.11.5.tar.gz",
    "platform": null,
    "description": "\n# DataReadr\nDataReadr with GUI Interface simplifies the process of adding Pandas code into Python scripts. Through a user-friendly GUI, users can easily select and insert Pandas functions, automating repetitive tasks and enhancing productivity in data analysis projects.\n\n# Examples of How To Use (Beta Version Not Fully Completed)\n\nLoading UI\n```python\nimport datareadr as dr # pip install datareadr\nimport sys # preinstalled in python\n\n#loading the ui\ndr.load_ui(sys.argv[0]) #sys.argv[0] (takes the current file location and insert it in the program)\n```\nDelete the 'load_ui' code line when dataframe is imported.\n\n# How To Use The UI!\n\n# Step 1\nSelecting any file you want to import.\n\n![Screenshot 2024-09-28 101847](https://github.com/user-attachments/assets/7c49cdef-b964-4190-acfe-c96d97e8361c)\n\n# Step 2\nClick on browse file and then select the file you want to import.\n\n![Screenshot 2024-09-28 101918](https://github.com/user-attachments/assets/a9428945-130b-43bf-981b-bd5e02461c96)\n\n# Step 3\nThen Click on check, Then the program will check your file and show the data.\n\n![Screenshot 2024-09-28 101945](https://github.com/user-attachments/assets/a8941177-8607-4ae5-9b05-ee90469cf0e4)\n\n# Step 4\nNow Click on import and your file will we imported.\n\n![Screenshot 2024-09-28 102006](https://github.com/user-attachments/assets/b7780fb9-34d6-4f05-950e-af823ab2187a)\n\n# Step 5\nThis message show's that you're file is successfully imported. Enjoy!\n\n![Screenshot 2024-09-28 102031](https://github.com/user-attachments/assets/29f948a2-84da-4ae3-bb89-4fe06253e4a5)\n\n\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "DataReadr GUI Interface simplifies the process of adding Pandas code into Python scripts. Through a user-friendly GUI, users can easily select and insert Pandas functions, automating repetitive tasks and enhancing productivity in data analysis projects.",
    "version": "0.11.5",
    "project_urls": null,
    "split_keywords": [
        "python",
        " pandas",
        " gui",
        " importer",
        " pandas importer",
        " import",
        " pyimport",
        " pyimport-0.9.0"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ceeb1132d60f21b70e8d9085dc965e5c55a65e8ce4fc20be0b6c45aa28b5cf8f",
                "md5": "a3ef361f54d05c44b0a8a9cdd5e3ce65",
                "sha256": "c3dc6287784838d03896c8723ea7143f7504b8a8660ee8e2bec6f895160e6dc4"
            },
            "downloads": -1,
            "filename": "datareadr-0.11.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "a3ef361f54d05c44b0a8a9cdd5e3ce65",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 7613,
            "upload_time": "2024-09-28T17:44:53",
            "upload_time_iso_8601": "2024-09-28T17:44:53.592773Z",
            "url": "https://files.pythonhosted.org/packages/ce/eb/1132d60f21b70e8d9085dc965e5c55a65e8ce4fc20be0b6c45aa28b5cf8f/datareadr-0.11.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "15ab9159a7530f6cea098c50cc27b8eedffe0da94f1a113111ba748430c97797",
                "md5": "8e4106e3f58361b6c23a9f9d64240d7c",
                "sha256": "96ae4661692bb646abb29d502337195c55af1e9ac8be59c99aaad820322f9a76"
            },
            "downloads": -1,
            "filename": "datareadr-0.11.5.tar.gz",
            "has_sig": false,
            "md5_digest": "8e4106e3f58361b6c23a9f9d64240d7c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 8301,
            "upload_time": "2024-09-28T17:44:54",
            "upload_time_iso_8601": "2024-09-28T17:44:54.524501Z",
            "url": "https://files.pythonhosted.org/packages/15/ab/9159a7530f6cea098c50cc27b8eedffe0da94f1a113111ba748430c97797/datareadr-0.11.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-28 17:44:54",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "datareadr"
}
        
Elapsed time: 0.32401s