Pandas dataframe get unique value of a column

I’m trying to get the unique available value for each site. The original pandas dataframe is with three columns:

Site	Available	Capacity
A	7	20
A	7	20
A	8	20
B	15	35
B	15	35
C	12	25
C	12	25
C	11	25

and I want to get the unique available of each site. The desired table is like below:

Site	Unique Available
A	7
	8
B	15
C	12
	11

Answer

You can get the lists of unique available per site with GroupBy.unique()

>>> df.groupby('Site')['Available'].unique()
Site
A      [7, 8]
B        [15]
C    [12, 11]
Name: Available, dtype: object

Then with explode() you can expand these lists and with reset_index() get the index back to a column:

>>> df.groupby('Site')['Available'].unique().explode().reset_index()
  Site Available
0    A         7
1    A         8
2    B        15
3    C        12
4    C        11

Otherwise simply get both columns and remove duplicates:

>>> df[['Site', 'Available']].drop_duplicates()
  Site  Available
0    A          7
2    A          8
3    B         15
5    C         12
7    C         11