get count of unique values in column pandas

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'].nunique()

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

1data = df.groupby('ColumnName')['IDColumnName'].nunique()
2print(data)

1dataframe.column.nunique()