python - Change specific value with dot in column -

i have following dataframe :

example 189 900 1.8 349 233 

the problem 1.8 should considered 1800. how can change whole column? :

if cell in column contains value dot . value*1000 

assuming data numeric, numeric values decimal part can caught i - np.floor(i) > 0.

import pandas pd import numpy np  # data # ================================ df = pd.read_clipboard()  df     example 0    189.0 1    900.0 2      1.8 3    349.0 4    233.0  # processing # =============================== df.example = np.where(df.example - np.floor(df.example) > 0, df.example*1000, df.example)  df     example 0      189 1      900 2     1800 3      349 4      233