# Football Test Data
[](https://pypi.org/project/footballtestdata/)
[](https://github.com/mazarzycki/footballtestdata/blob/main/LICENSE)
Generate fake footballer data with this Python package.
## Installation
You can install the package using pip:
```
pip install footballtestdata
```
## Usage
Import the FootballerGenerator class and other necessary modules to generate fake footballer data:
```
from footballtestdata import FootballerGenerator, position
from footballtestdata.data import ENG, ITA, SPA, GER
```
Initialize the FootballerGenerator object with the desired data for a specific country:
```
country = 'ENG'
footballer_generator = FootballerGenerator(ENG[0], ENG[1], ENG[2], ENG[3], position)
```
Generate fake footballer data:
```
num_footballers = 10
fake_footballers = [footballer_generator.generate_fake_footballer(country) for _ in range(num_footballers)]
```
Create a pandas DataFrame from the generated data:
```
import pandas as pd
df = pd.DataFrame(fake_footballers)
```
Save the DataFrame to an Excel file:
```
filename = f'fake_{country}_footballers.xlsx'
df.to_excel(filename, index=False)
```
For more usage examples and customization options, please refer to the documentation.
## Documentation
For detailed documentation, refer to the official documentation.
## Contributing
Contributions are welcome! If you would like to contribute to the project, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make the necessary changes and commit them.
4. Open a pull request on the main branch.
5. Please review the contribution guidelines for more details.
## License
This project is licensed under the MIT License.
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"description": "# Football Test Data\r\n\r\n[](https://pypi.org/project/footballtestdata/)\r\n[](https://github.com/mazarzycki/footballtestdata/blob/main/LICENSE)\r\n\r\nGenerate fake footballer data with this Python package.\r\n\r\n## Installation\r\nYou can install the package using pip:\r\n\r\n```\r\npip install footballtestdata\r\n```\r\n## Usage\r\nImport the FootballerGenerator class and other necessary modules to generate fake footballer data:\r\n\r\n```\r\nfrom footballtestdata import FootballerGenerator, position\r\nfrom footballtestdata.data import ENG, ITA, SPA, GER\r\n```\r\n\r\nInitialize the FootballerGenerator object with the desired data for a specific country:\r\n\r\n```\r\ncountry = 'ENG'\r\nfootballer_generator = FootballerGenerator(ENG[0], ENG[1], ENG[2], ENG[3], position)\r\n```\r\nGenerate fake footballer data:\r\n\r\n```\r\nnum_footballers = 10\r\nfake_footballers = [footballer_generator.generate_fake_footballer(country) for _ in range(num_footballers)]\r\n```\r\nCreate a pandas DataFrame from the generated data:\r\n\r\n```\r\nimport pandas as pd\r\ndf = pd.DataFrame(fake_footballers)\r\n```\r\nSave the DataFrame to an Excel file:\r\n\r\n```\r\nfilename = f'fake_{country}_footballers.xlsx'\r\ndf.to_excel(filename, index=False)\r\n```\r\nFor more usage examples and customization options, please refer to the documentation.\r\n\r\n## Documentation\r\nFor detailed documentation, refer to the official documentation.\r\n\r\n## Contributing\r\nContributions are welcome! If you would like to contribute to the project, please follow these steps:\r\n\r\n1. Fork the repository.\r\n2. Create a new branch for your feature or bug fix.\r\n3. Make the necessary changes and commit them.\r\n4. Open a pull request on the main branch.\r\n5. Please review the contribution guidelines for more details.\r\n\r\n## License\r\nThis project is licensed under the MIT License.\r\n",
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