Plotting from a Pandas dataframe I want to improve my code. Is it possible to get the plot without repeating the same instructions multiple lines?

The data comes from a Pandas' dataframe, but I am only plotting the last column (Total Acc.)





e=df['Total Acc'].round(4)*100

#The repetitions start:
row_awa = e.loc['AWA'] 
row_rem = e.loc['REM']
row_s1 = e.loc['S1'] 
row_s2 = e.loc['S2'] 
row_sws = e.loc['SWS'] 
row_stades = e.loc['stades'] 

#More repetitions
row_awa.plot()
row_rem.plot()
row_s1.plot()
row_s2.plot()
row_sws.plot()
row_stades.plot()


myLegend=plt.legend(bbox_to_anchor=(0., 1.2, 1., .102), prop ={'size':10}, loc=10, ncol=4,  #left, bottom, width, height
            title=r'TOTAL ACCURACY FOR MANY K-FOLD')                    #loc='center'
myLegend.get_title().set_fontsize('20')
To reduce the repetitions you could make use of lists by doing something like:

labels = ['AWA', 'REM', 'S1', 'S2', 'SWS', 'stades']

rows = [] 
for label in labels:
    rows.append(e.loc[label]) 

# or even shorter with list comprehension 
rows = [e.loc[label] for label in labels]

for row in rows:
    row.plot()


Edit: The labels list can also be used as first argument of the legend function to show the correct labels.