Pandas loop over groupby and plot each group

Question

I am trying to loop over a groupby object and plot each group. But I am having some issues. Can someone please tell me where I am going wrong?

df = pd.DataFrame(         


        

Answer 1

Thanks to ImportanceOfBeingErnest, I have got the result what I wanted. Here is full tweaked version of the code, for anyone who may need it in future. I have added legend = False, without this val1 and val2 are written on top of each other and looks messy.

import pandas as pd
import matplotlib.pyplot as plt

 df = pd.DataFrame([['item1',2000,1, 2], ['item1',2001,1, 2], ['item1',2002,1, 2], 
          ['item2',2000,1, 2], ['item2',2001,3, 2], ['item2',2002,1, 2]],
          columns=['mykey', 'year','val1','val2'])

 grouped = df.groupby('mykey')
 for name,group in grouped:
  fig = plt.figure()
   ax1 = fig.add_subplot(111)
  group.plot.line(ax=ax1, ylim=[0,3], color='red',x="year",y="val1", legend 
  = False, xticks = [2000,2001,2002])
  ax1.set_ylabel('val1  ssssssss')
  ax2 = ax1.twinx()
  group.plot.line(ax=ax2, ylim=[0,3], color='blue',x="year",y="val2", legend 
  = False, xticks = [2000,2001,2002])
  ax2.set_ylabel('val2 ffffdffffd')
  plt.title(str(name), fontsize=15)

   plt.show()