Answers for "pandas drop columns based on column name"

drop a column from dataframe

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

drop a column from dataframe

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

drop a column from dataframe

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

remove columns from dataframe

df.drop('col_name',1) #1 drop column / 0 drop row