semvec/pypi-packages huggingface dataset:
pydatamodel 0.1.5
creditScore,dataAnalysis,databaseModel,mechineLearning
License: MIT
Requires Python: >=3


# pydatamodel

pydatamodel程序包，为以下功能：（1）开发信用评分卡，（2）机器学习模型，（3）数据库建模，（4）数据分析而专门撰写的程序包。

## 安装包

``` sh
pip install pydatamodel
```

## 使用包

```python
from pydatamodel import creditScore as cs 
from pydatamodel import mechineLearning as mcl 
from pydatamodel import databaseModel as dm 
from pydatamodel import dataAnalysis as da 
```
## 更多信息
建议python版本>=3.10
creditScore:信用评分卡模块
mechineLearning:机器学习模型模块
databaseModel:数据库建模模块
dataAnalysis:数据分析模块
arcolabutils 1.0.0
A professional JSON to CSV conversion library
License: MIT
Requires Python: >=3.8
Keywords: json, csv, converter, data, conversion

---

## File: `README.md`
```markdown
# json2csv-pro

A professional, feature-rich Python library for converting JSON data to CSV format with advanced capabilities.

## Features

- ✨ Convert JSON to CSV with ease
- 🔄 Handle nested JSON structures automatically
- 📊 Batch conversion support
- ✅ Data validation
- 🎨 Customizable delimiters and formatting
- 📝 Comprehensive documentation
- 🔍 Type hints for better IDE support
- ⚡ High performance

## Installation

```bash
pip install json2csv-pro
```

## Quick Start

```python
from json2csv_pro import JSONConverter

# Create converter instance
converter = JSONConverter()

# Simple conversion
data = [
    {"name": "John", "age": 30, "city": "NYC"},
    {"name": "Jane", "age": 25, "city": "LA"}
]

converter.convert_to_csv(
    data=data,
    output_file="output.csv"
)
```

## Advanced Usage

### Handling Nested JSON

```python
data = [
    {
        "name": "John",
        "age": 30,
        "address": {
            "city": "NYC",
            "country": "USA"
        }
    }
]

converter.convert_to_csv(
    data=data,
    output_file="output.csv",
    flatten_nested=True,
    delimiter=','
)
```

### Batch Conversion

```python
converter.convert_batch(
    input_files=["file1.json", "file2.json", "file3.json"],
    output_dir="output/",
    flatten_nested=True
)
```

### Preview Before Converting

```python
preview = converter.preview_conversion(
    data=data,
    rows=5
)
print(preview)
```

## Documentation

Full documentation available at: [Read the Docs](https://json2csv-pro.readthedocs.io)

## Contributing

Contributions are welcome! Please read our [Contributing Guide](CONTRIBUTING.md).

## License

MIT License - see [LICENSE](LICENSE) file for details.
```