https://github.com/ishanoshada/automagicio
A versatile plugin module for streamlining input/output operations in Python projects
https://github.com/ishanoshada/automagicio
data-science dataset filehandling pypi pypi-package python-io
Last synced: 20 days ago
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A versatile plugin module for streamlining input/output operations in Python projects
- Host: GitHub
- URL: https://github.com/ishanoshada/automagicio
- Owner: Ishanoshada
- License: mit
- Created: 2023-10-24T21:57:17.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-25T06:33:26.000Z (almost 2 years ago)
- Last Synced: 2025-04-23T06:48:00.726Z (6 months ago)
- Topics: data-science, dataset, filehandling, pypi, pypi-package, python-io
- Language: Python
- Homepage: https://pypi.org/project/automagicio
- Size: 10.7 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AutoMagicIO
AutoMagicIO is a versatile Python module designed to streamline input/output operations in Python projects. It provides a set of intuitive interfaces and automated routines to handle common file operations, such as reading, writing, and parsing data from various file formats.
## Installation
You can install AutoMagicIO via pip:
```bash
pip install automagicio
```
## Usage
### Reading Data
To get started with AutoMagicIO, you'll need to create an instance of the `AutoMagicIO` class, providing the filename of the data you want to work with.
```python
from automagicio import AutoMagicIO
auto_io = AutoMagicIO('data.csv')
auto_io.read()
```
> Reads data from the specified file format (CSV, JSON, or XML) and automatically detects the format.
### Writing Data
You can save your processed data using the `write` method, specifying the output filename and format ('json' or 'xml').
```python
auto_io.write('output.json', format='json')
```
> Writes data to a file in the specified format.
### Data Validation
You can check if your data contains required fields using the `validate_data` method.
```python
valid = auto_io.validate_data()
```
> Checks if data contains required fields (Name, Age, City).
### Sorting Data
To sort your data based on a specific column, use the `sort_data` method.
```python
sorted_data = auto_io.sort_data('Name')
```
> Sorts data based on the specified column.
### Aggregating Data
You can perform aggregation operations (sum, average, count) on a specific column.
```python
sum_result = auto_io.aggregate_data('Age', 'sum')
average_result = auto_io.aggregate_data('Age', 'average')
count_result = auto_io.aggregate_data('Age', 'count')
```
> Performs aggregation operations on the specified column.
### Filtering Data
Filter data based on a specific condition.
```python
filtered_data = auto_io.filter_data('City', 'New York')
```
> Filters data based on the specified condition.
### Transforming Data
Apply a specified transformation function to the values of a specific column.
```python
def transform_age(age):
return int(age) + 5
transformed_data = auto_io.transform_data('Age', transform_age)
```
> Applies a specified transformation function to the values of the specified column.
### Deduplicating Data
Remove duplicate records based on a specified column.
```python
unique_data = auto_io.deduplicate_data('Name')
```
> Removes duplicate records based on the specified column.
### Getting Data
Retrieve the stored data.
```python
data = auto_io.get_data()
```
> Gets the stored data.
**Repository Views** 
## Contributors
- [Ishan Oshada](https://github.com/ishanoshada)
## Version
1.0.0