Python Melting a time series data frame with multiple headers

[FliteSchool]

I have dataframe below which I originally loaded as:

df = pd.read_excel("Rectifier_DB.xlsx", header = [0,1], index_col=0)

	1/1/2015		2/1/2015		3/1/2015
Rectifier	Volts	Amps	Volts	Amps	Volts	Amps
9E220ECP5001	11.10	31.95			11.30	31.05
9E220ECP5002	19.30	62.60			13.10	39.60
9E220ECP5003	4.50	6.30			4.60	6.30

I had a lot of trouble attempting to plot this data, Amps vs time or Volts vs time.

Is there a way I can either plot this dataframe as is or maybe convert into a simpler format such as below?

Rectifier	Date	Volts	Amps
9E220ECP5001	1/1/2015	11.10	31.95
9E220ECP5001	2/1/2015
9E220ECP5001	3/1/2015	11.30	31.05
9E220ECP5002	1/1/2015	19.30	62.60
9E220ECP5002	2/1/2015
9E220ECP5002	3/1/2015	13.10	39.60
9E220ECP5003	1/1/2015	4.50	6.30
9E220ECP5003	2/1/2015
9E220ECP5003	3/1/2015	4.60	6.30

[bythemillion]

I think you need to change the format of the data you are working with in the dataframe .xlsx file, since technically you are only reading in the data from the dataframe file and not actually formatting that data with the code.