pandas count distinct values in column

1#TO count repetition of each unique values(to find How many times the same-
2# unique value is appearing in the data)
3
4item_counts = df["Your_Column"].value_counts()
5#Returns Dictionary => {"Value_name" : number_of_appearences} 

1df.column.unique()

1df = df.groupby('domain')['ID'].nunique()
2
3print (df)
4domain
5'facebook.com'    1
6'google.com'      1
7'twitter.com'     2
8'vk.com'          3
9Name: ID, dtype: int64

1pd.value_counts(df.Account_Type)
2
3Gold        3
4Platinum    1
5Name: Account_Type, dtype: int64

1# distinct rows in this DataFrame
2
3df.distinct().count()
4# 2

1#column name ISSDTM
2pd.to_datetime(df.ISSDTM, errors='coerce').dt.year
3
4#result
50    2013
61    2013
72    2009
83    2009
9Name: ISSDTM, dtype: int64 
10