熊猫在csv文件中分组列

Question

I have data

ID,"day"
00051f002f5a0c179d7ce191ca2c6401,2016-03-01
00051f002f5a0c179d7ce191ca2c6401,2016-03-06
000700651343ff73c10212a095ab4091,2016-03-06
000700651343ff73c10212a095ab4091,2016-03-01
00102b98bd9e71da3cf23fd1f599408d,2016-03-01

I try to print to every data list of unique users

df = pd.read_csv("users.csv")
df = df.groupby('day')['ID'].unique().reset_index(name="unique")
users = df["unique"]
for elem in users:
    print elem

and get

['00051f002f5a0c179d7ce191ca2c6401' ..., '00102b98bd9e71da3cf23fd1f599408d']
['00051f002f5a0c179d7ce191ca2c6401' ..., '000700651343ff73c10212a095ab4091']

They not delimited with , and there are not all values, instead this in contain ... . How can I change that and get lists?

Answer 1

Those are numpy arrays, and the ... is just because the list is long and numpy has a feature where it doesn't show you every element if the list is too long. The elements are there.

If you want a list you can just use list(elem)