When using the drop command in python to remove columns from a dataframe, what should you remember?To either specify columns, or to specify axis = 1To either specify columns, or to specify axis = 2To either specify not rows, or to specify axis = 0To either specify columns, or to specify axis = 0

How can you drop missing values in a Pandas DataFrame?Using the drop() methodUsing the dropna() methodUsing the fillna() methodUsing the isnull() method

How can you drop a column named "age" from a data frame df?df$age <- NULLremove(df$age)df[-age]delete(df, age)

Which clause is used to delete table columns?Select one:a.DELETE TABLEb.DROP TABLEc.ALTER TABLEd.None of the answers are correcte.PURGE PURGE

The following line of code selects the columns along with what headers from the dataframe df?y=df[['Artist','Length','Genre']]1 pointThis line of code does not select the headers‘Artist’, ‘Length’ and ‘y’‘Artist’, ‘Length’ and ‘Genre’

What is the default method for handling missing data in pandas' dropna() function?fillignoreanyall