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

I’m having this code (for machine learning) below:

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))

With df1 being a dataframe containing date and some other values

However, after running the above codes, I got this error:

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''

How do I fix this?

Edited: This is part of the code sample:

    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