How to reorder rows and columns in a pandas dataframe

import pandas as pd

df = pd.DataFrame({'Discount':[10, 8, 20, 15, 10],
                   'Product':[' UMbreLla', '  maTress', 'BeDmintoN ', 'Shuttle', 'jaCket  '],
                   'Updated_Price':[880, 1250, 1450, 1550, 400],
                   'Date':['10/2/2011', '10/2/2011', '11/2/2011', '12/2/2011', '13/2/2011']})
df

	Discount	Product	Updated_Price	Date
0	10	UMbreLla	880	10/2/2011
1	8	maTress	1250	10/2/2011
2	20	BeDmintoN	1450	11/2/2011
3	15	Shuttle	1550	12/2/2011
4	10	jaCket	400	13/2/2011

reorder columns

new_index = ['Date','Updated_Price','Product_new','Discount']
df = df.reindex(new_index, axis="columns")
df

	Date	Updated_Price	Product_new	Discount
0	10/2/2011	880	NaN	10
1	10/2/2011	1250	NaN	8
2	11/2/2011	1450	NaN	20
3	12/2/2011	1550	NaN	15
4	13/2/2011	400	NaN	10

reverse columns

df[df.columns[::-1]]

	Discount	Product_new	Updated_Price	Date
3	15	NaN	1550	12/2/2011
2	20	NaN	1450	11/2/2011
1	8	NaN	1250	10/2/2011
0	10	NaN	880	10/2/2011
4	10	NaN	400	13/2/2011

reorder rows

df.sort_values(by ='Updated_Price', ascending = 0, inplace=True)
df

	Date	Updated_Price	Product_new	Discount
3	12/2/2011	1550	NaN	15
2	11/2/2011	1450	NaN	20
1	10/2/2011	1250	NaN	8
0	10/2/2011	880	NaN	10
4	13/2/2011	400	NaN	10

reverse rows

df.loc[::-1]

	Date	Updated_Price	Product_new	Discount
4	13/2/2011	400	NaN	10
0	10/2/2011	880	NaN	10
1	10/2/2011	1250	NaN	8
2	11/2/2011	1450	NaN	20
3	12/2/2011	1550	NaN	15

shuffle rows

df.sample(frac=1)

	Discount	Product	Updated_Price	Date
0	10	UMbreLla	880	10/2/2011
2	20	BeDmintoN	1450	11/2/2011
3	15	Shuttle	1550	12/2/2011
1	8	maTress	1250	10/2/2011
4	10	jaCket	400	13/2/2011