GroupBy bug with time series

[wesm]

from mailing list

a = pd.DataFrame({'dt':pd.datetime(2012,4,25,9,30,0,393000),'size':50,'price':87.67},index=[pd.datetime(2012,4,25,9,30,0,393000)])
dt = a.index[0]
minutely = pd.date_range(dt,dt,freq='5T')
grouped = a.groupby(minutely.asof)
grouped['size'].last()

# error: len() of unsized object```

[timdiller]

Here is another minimal working example of a related (same?) failure. Note this runs correctly in version 0.7.3-1 and not in 0.8.x

from datetime import datetime
import numpy as np
from pandas import DataFrame, date_range

df = DataFrame(np.random.rand(100), index=date_range("1/1/2000", periods=100))
monthly_group = df.groupby(lambda x: (x.year,x.month))
try:
    print monthly_group.groups
except TypeError as e:
    print "Failed to list the groups: error was %s" % e
print monthly_group.mean()

[wesm]

That actually looks like a different bug. I've just fixed the first one but not the latter

[wesm]

ok fixed both of these