how to find number of unique values in every column of a dataframe in python code example

Example 1: return count of unique values pandas

#TO count repetition of each unique values(to find How many times the same-
# unique value is appearing in the data)

item_counts = df["Your_Column"].value_counts()
#Returns Dictionary => {"Value_name" : number_of_appearences}

Example 2: 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