Python pandas drop columns rows

import pandas as pd
from sklearn.datasets import load_iris

# load dataset
iris = load_iris()
df = pd.DataFrame(iris.data, columns= iris.feature_names)
df.head()

	sepal length (cm)	sepal width (cm)	petal length (cm)	petal width (cm)
0	5.1	3.5	1.4	0.2
1	4.9	3.0	1.4	0.2
2	4.7	3.2	1.3	0.2
3	4.6	3.1	1.5	0.2
4	5.0	3.6	1.4	0.2

Drop row(s): axis = 0, by default

df.drop(0).head()

	sepal length (cm)	sepal width (cm)	petal length (cm)	petal width (cm)
1	4.9	3.0	1.4	0.2
2	4.7	3.2	1.3	0.2
3	4.6	3.1	1.5	0.2
4	5.0	3.6	1.4	0.2
5	5.4	3.9	1.7	0.4

df.drop([0,2,4]).head()

	sepal length (cm)	sepal width (cm)	petal length (cm)	petal width (cm)
1	4.9	3.0	1.4	0.2
3	4.6	3.1	1.5	0.2
5	5.4	3.9	1.7	0.4
6	4.6	3.4	1.4	0.3
7	5.0	3.4	1.5	0.2

Drop column(s): axis = 1

df.drop(['sepal length (cm)'], axis = 1).head()

	sepal width (cm)	petal length (cm)	petal width (cm)
0	3.5	1.4	0.2
1	3.0	1.4	0.2
2	3.2	1.3	0.2
3	3.1	1.5	0.2
4	3.6	1.4	0.2

df.drop(['sepal length (cm)', 'sepal width (cm)'], axis = 1).head()

	petal length (cm)	petal width (cm)
0	1.4	0.2
1	1.4	0.2
2	1.3	0.2
3	1.5	0.2
4	1.4	0.2