dataframe number of unique rows

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

for col in df:
    print(df[col].unique())

data = df.groupby('ColumnName')['IDColumnName'].nunique()
print(data)

# get the unique values (rows)
df.drop_duplicates()

1
# get the unique values (rows) by retaining last row
2
df.drop_duplicates(keep='last')