drop a column from dataframe

1df.drop(['column_1', 'Column_2'], axis = 1, inplace = True) 

1#To delete the column without having to reassign df
2df.drop('column_name', axis=1, inplace=True) 

1note: df is your dataframe
2
3df = df.drop('coloum_name',axis=1)

1df = df.drop('column_name', 1)

1#working with "text" syntax for the columns:
2df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

1#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
2df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index