StandardScaler error due to too large values (Python). Preprocessing time series data

Question

I need to center and scale my data, my predictor matrix X has a column with too large numbers. How can I deal with this variable to apply standardization? When I use preprocessing.StandardScaler() function in python I got this message:

"ValueError: Input contains infinity or a value too large for dtype('float64')."

Thanks for your support.