get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
dataframe unique values in each column
for col in df:
print(df[col].unique())
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()
unique rows in dataframe
In [33]: df[df.columns[df.apply(lambda s: len(s.unique()) > 1)]]
Out[33]:
A B
0 0 a
1 1 b
2 2 c
3 3 d
4 4 e
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