Metadata-Version: 2.1
Name: datareadr
Version: 0.11.5
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.
Author: Manoj Khandelwal
Author-email: tr.manojkhandelwal@gmail.com
Keywords: python,pandas,gui,importer,pandas importer,import,pyimport,pyimport-0.9.0
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: openpyxl
Requires-Dist: pillow
Requires-Dist: cryptography


# 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)



