plot data from a pandas dataframe in a line graph

Question

I have the folowing dataframe in pandas. The date are two diffrent dates, in this case the 16th and 17th Time will go from 00:00 to 24:00 after that it will be the next day :-) And percentage will go from 100 to 0.

    date        time      percentage
   2018-08-16  00:00      36   
   2018-08-16  00:01      37   
   2018-08-16  00:01      38   
   2018-08-16  00:03      39   
   2018-08-16  00:03      40   
   2018-08-16  00:04      41   
   2018-08-16  00:05      42   
   2018-08-16  00:05      43   
   2018-08-16  00:06      44   
   2018-08-16  00:07      45   
   2018-08-16  00:07      46   
   2018-08-16  00:08      47
...
   2018-08-17  07:24      95   
   2018-08-17  07:25      94   
   2018-08-17  07:25      94   
   2018-08-17  07:32      95   
   2018-08-17  07:43      96   
   2018-08-17  07:52      97  
...

Now i would like to plot this dat in a line graph like this:

Tried something with:

df.set_index('date', inplace=True)
df.groupby('time')['percentage'].plot(legend=True)

plt.show()

But alway retrurn with a "TypeError: Empty 'DataFrame': no numeric data to plot"

Can somebody help me?

Answer 1

You can try this:

df.set_index([df.groupby(['date','time']).cumcount(), 'date', 'time'])['percentage']\
  .unstack('date').reset_index(0, drop=True).sort_index().plot()

Answer 2

This should do:

df.percentage=df.percentage.astype(int)
for i in df.date.unique():
    aux=df[df.date==i]
    plt.plot(aux.time,aux.percentage)
plt.show()