Drop columns in pandas #pandas

drop_column_in_pandas.py

df = df.drop('column_name', 1)
# where 1 is the axis number (0 for rows and 1 for columns.)

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

# To drop a list of columns
columns = ['Col1', 'Col2', ...]
df.drop(columns, inplace=True, axis=1)

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