我有这个代码（机器学习）如下：

from scipy.special import boxcox1p
from scipy.special import boxcox
from scipy.special import inv_boxcox
df_trans=df1.apply(lambda x: boxcox1p(x,0.0))

其中df1是包含日期和一些其他值的 Dataframe
但是，在运行上面的代码后，我得到了这个错误：

TypeError                                 Traceback (most recent call last)
Input In [585], in <cell line: 4>()
      2 from scipy.special import boxcox
      3 from scipy.special import inv_boxcox
----> 4 df_trans=df1.apply(lambda x: boxcox1p(x,0.0))

TypeError: ufunc 'boxcox1p' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

我该如何解决这个问题？
编辑：这是代码示例的一部分：

Quantity   Price        Difference  Money Received
0   55419      12.908304    8.518790    69665.133754
1   45179      28.492719    8.518790    125359.752289
2   11985      17.040535    18.776097   19888.813469