pandas find count of unique values in column code example

Example 1: count unique pandas

df['column'].nunique()

Example 2: get count of unique values in column pandas

df = df.groupby('domain')['ID'].nunique()

print (df)
domain
'facebook.com'    1
'google.com'      1
'twitter.com'     2
'vk.com'          3
Name: ID, dtype: int64

Example 3: how to count unique values in a column dataframe in python

dataframe.column.nunique()

Example 4: count how many unique rows a DataFrame has

df = pd.DataFrame(np.random.randint(0,2,size = (10,3)))
df
	0	1	2
0	1	1	1
1	1	0	1
2	1	1	1
3	1	0	0
4	1	1	1
5	1	0	1
6	0	0	1
7	0	1	1
8	0	1	0
9	0	0	1
# the only unique rows are : 3, 7 and 8
df.duplicated(keep = False) == False
0    False
1    False
2    False
3     True
4    False
5    False
6    False
7     True
8     True
9    False
dtype: bool
# so to count how many unique rows we have: 
sum(df.duplicated(keep = False) = False)
3