Create a dataframe from a dataframe by not extracting certain columns.
For example: In dataframe 1, we have 100 columns. We can create another dataframe taking 90 columns, and we can do it by:
new_df = pd.DataFrame(df, columns = []) # where columns = [] includes the 90 desired columns.
But is there a way to do the above not by writing 90 columns, can't we do columns != [] --> By passing the 10 columns which we don't need.