how to get distinct value in a column dataframe in python
df.column.unique()
how to get distinct value in a column dataframe in python
df.column.unique()
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
unique values in dataframe column count
df.groupby('mID').agg(['count', 'size', 'nunique']).stack()
dID hID uID
mID
A count 5 5 5
size 5 5 5
nunique 3 5 5
B count 2 2 2
size 2 2 2
nunique 2 2 2
C count 1 1 1
size 1 1 1
nunique 1 1 1
count unique values pandas
df['hID'].nunique()
5
dataframe python unique values rows
# get the unique values (rows)
df.drop_duplicates()
Count unique values Pandas
df = df.groupby('domain')['ID'].nunique()
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