parameter change

py/clustering.py

 # 
 # plt.show()
 
-numclusts = 7
+numclusts = 9
 df = p.read_pickle('../data/2017-sample.pkl')
 dforig = df
 
 print(df.info())
 print(df.icp_id.nunique())
 print(df.read_time.nunique())
-print(df.groupby('icp_id').read_time.nunique().nunique())
+# print(df.groupby('icp_id').read_time.nunique().nunique())
 df = df.pivot(index = 'read_time', columns = 'icp_id', values = 'kwh_tot')
 df = df[df.columns[df.max() != df.min()]]
 print(df.info())