Cleaning the values of a multitype data frame in python/pandas, I want to trim the strings. I am currently doing it in two instructions : import pandas as pd df = pd.DataFrame([[' a ', 10], [' c ', 5]]) df.replace('^\s+', '', regex=True, inplace=True) #front df.replace('\s+$', '', regex=True, inplace=True) #end df.values This is quite slow, what could I improve ? Continue reading...