I have an pandas data frame that looks like:
df = DataFrame({\'id\':[\'a132\',\'a132\',\'b5789\',\'b5789\',\'c1112\',\'c1112\'], \'value\':[0,0,0,0,0,0,]})
A simple solution is to:
df = DataFrame({'id':['a132','a132','b5789','b5789','c1112','c1112'], 'value':[0,0,0,0,0,0,]})
df = df.groupby('id').sum()
df['key'] = df.index
df['key'] = df['key'].str.split('(\d+)').str[1].astype(int)
df = df.sort('key', ascending=False).drop('key', axis=1)
# Result
value
id
b5789 0
c1112 0
a132 0