box-cox transformation python
时间: 2024-03-24 16:39:55 浏览: 14
Box-Cox transformation is a statistical technique used to transform non-normal data into a normal distribution by applying a power transformation. In Python, you can use the `scipy.stats` module to perform Box-Cox transformation.
Here is an example code snippet that demonstrates how to perform Box-Cox transformation in Python:
```python
from scipy import stats
# generate non-normal data
data = stats.loggamma.rvs(5, size=1000)
# perform Box-Cox transformation
transformed_data, lambda_value = stats.boxcox(data)
# print lambda value
print(lambda_value)
```
In this example, we first generate some non-normal data using the `loggamma` distribution from `scipy.stats`. We then perform the Box-Cox transformation on this data using the `boxcox` function. The function returns the transformed data as well as the lambda value used in the transformation.