How to print a groupby object

Simply do:

grouped_df = df.groupby('A')

for key, item in grouped_df:
    print(grouped_df.get_group(key), "\n\n")

Deprecation Notice: ix was deprecated in 0.20.0

This also works,

grouped_df = df.groupby('A')    
gb = grouped_df.groups

for key, values in gb.iteritems():
    print(df.ix[values], "\n\n")

For selective key grouping: Insert the keys you want inside the key_list_from_gb, in following, using gb.keys(): For Example,

gb = grouped_df.groups
gb.keys()

key_list_from_gb = [key1, key2, key3]

for key, values in gb.items():
    if key in key_list_from_gb:
        print(df.ix[values], "\n")