作家的话 Removing NaN values Next, we are going to remove NaN values from the field. We can do this as follows: dfs = dfs[dfs['date'].notna()] Next, it is good to save the preprocessed file into a separate CSV file in case we need it again. We can save the dataframe into a separate CSV file as follows: dfs.t...
Remember: The (inplace = True) will make sure that the method does NOT return a new DataFrame, but it will remove all duplicates from the original DataFrame.Exercise? What are duplicate rows in a DataFrame? Rows with similar content Identical rows Rows where all columns of that row have ...