| Name | doctor-trans JSON |
| Version |
1.0.3
JSON |
| download |
| home_page | None |
| Summary | This package translate whole dataframe in any language without any limits. |
| upload_time | 2024-12-17 13:20:49 |
| maintainer | None |
| docs_url | None |
| author | Nirmal Patel |
| requires_python | None |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# Doctor Trans
Doctor Trans is a powerful Python package for translating large datasets in a DataFrame format. It process multiple columns simultaneously, translating text data from one language to another while preserving data integrity. The package outputs the translated DataFrame, making it perfect for large-scale multilingual data processing in business and research.
## Features
- **Automatic Language Detection**: Automatically detects the source language if not specified.
- **Multiple Language Support**: Supports translation to and from any language available in Google Translate.
- **Error Handling and Logging**: Provides detailed logging to track translation status and handle errors effectively.
## Installation
To use Doctor Trans, ensure the following packages are installed:
```bash
pip install pandas requests openpyxl
```
If Microsoft Visual C++ 14.0 is not installed, you can download it here:
https://visualstudio.microsoft.com/visual-cpp-build-tools/
```python
import pandas as pd
from doctor_trans import trans
# Sample data
data = {
'Name': ['Hola', 'Bonjour', 'Ciao'],
'Description': ['Buenos días', 'Bonne journée', 'Buona giornata']
}
df = pd.DataFrame(data)
# Translate the DataFrame to English and return translated DataFrame
df = trans(df, input_lang='auto', output_lang='en')
df.to_excel("translated_file.xlsx", index=False)
```
## Parameters
- **df:** The DataFrame containing text data to translate.
- **input_lang:** (optional) The source language code. Default is 'auto' for automatic detection.
- **output_lang:** (optional) The target language code. Default is 'en' for English.
Make multilingual data processing effortless with Doctor Trans. If you find this package helpful, please refer to your developer friends! 🙂
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"description": "# Doctor Trans\r\n\r\nDoctor Trans is a powerful Python package for translating large datasets in a DataFrame format. It process multiple columns simultaneously, translating text data from one language to another while preserving data integrity. The package outputs the translated DataFrame, making it perfect for large-scale multilingual data processing in business and research.\r\n\r\n## Features\r\n- **Automatic Language Detection**: Automatically detects the source language if not specified.\r\n- **Multiple Language Support**: Supports translation to and from any language available in Google Translate.\r\n- **Error Handling and Logging**: Provides detailed logging to track translation status and handle errors effectively.\r\n\r\n## Installation\r\nTo use Doctor Trans, ensure the following packages are installed:\r\n```bash\r\npip install pandas requests openpyxl\r\n```\r\nIf Microsoft Visual C++ 14.0 is not installed, you can download it here:\r\nhttps://visualstudio.microsoft.com/visual-cpp-build-tools/\r\n\r\n```python\r\nimport pandas as pd\r\nfrom doctor_trans import trans\r\n\r\n# Sample data\r\ndata = {\r\n 'Name': ['Hola', 'Bonjour', 'Ciao'],\r\n 'Description': ['Buenos d\u00edas', 'Bonne journ\u00e9e', 'Buona giornata']\r\n}\r\ndf = pd.DataFrame(data)\r\n\r\n# Translate the DataFrame to English and return translated DataFrame\r\ndf = trans(df, input_lang='auto', output_lang='en')\r\n\r\ndf.to_excel(\"translated_file.xlsx\", index=False)\r\n```\r\n\r\n## Parameters\r\n- **df:** The DataFrame containing text data to translate.\r\n- **input_lang:** (optional) The source language code. Default is 'auto' for automatic detection.\r\n- **output_lang:** (optional) The target language code. Default is 'en' for English.\r\n\r\n\r\nMake multilingual data processing effortless with Doctor Trans. If you find this package helpful, please refer to your developer friends! \ud83d\ude42\r\n",
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