Consider this dataframe:
import pandas as pd
import numpy as np
iterables = [['bar', 'baz', 'foo'], ['one', 'two']]
index = pd.MultiIndex.from_product(iterables, names=['first', 'second'])
df = pd.DataFrame(np.random.randn(3, 6), index=['A', 'B', 'C'], columns=index)
print(df)
first bar baz foo
second one two one two one two
A -1.954583 -1.347156 -1.117026 -1.253150 0.057197 -1.520180
B 0.253937 1.267758 -0.805287 0.337042 0.650892 -0.379811
C 0.354798 -0.835234 1.172324 -0.663353 1.145299 0.651343
I would like to drop 'one' from each column, while retaining other structure.
With the end result looking something like this:
first bar baz foo
second two two two
A -1.347156 -1.253150 -1.520180
B 1.267758 0.337042 -0.379811
C -0.835234 -0.663353 0.651343