Understanding inplace=True

Question

In the pandas library many times there is an option to change the object inplace such as with the following statement...

df.dropna(axis=\'index\         


        

Answer 1

inplace=True is used depending if you want to make changes to the original df or not.

df.drop_duplicates()

will only make a view of dropped values but not make any changes to df

df.drop_duplicates(inplace  = True)

will drop values and make changes to df.

Hope this helps.:)