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

As Far my experience in pandas I would like to answer.

The 'inplace=True' argument stands for the data frame has to make changes permanent eg.

    df.dropna(axis='index', how='all', inplace=True)

changes the same dataframe (as this pandas find NaN entries in index and drops them). If we try

    df.dropna(axis='index', how='all')

pandas shows the dataframe with changes we make but will not modify the original dataframe 'df'.