Truncate Decimal Places Of Values Within A Pandas Df

I can truncate individual floats using the truncate function in math. But when trying to pass the same function to a pandas df column I'm getting an error. import math import panda

Solution 1:

You can use applymap

trunc = lambda x: math.trunc(1000 * x) / 1000;

df.applymap(trunc)

Solution 2:

I believe the easiest way to achieve this would be using .astype(int) In your example, it would be:

df[x] = ((df[x]*1000).astype(int).astype(float))/1000

Solution 3:

Try changing df['X'] = math.trunc(1000 * df['X']) / 1000; to df['X'] =[math.trunc(1000 * val) / 1000 for val in df['X']]. Hope it helps